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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2402.09939 | Ridwan Taiwo | Ridwan Taiwo, Idris Temitope Bello, Sulemana Fatoama Abdulai,
Abdul-Mugis Yussif, Babatunde Abiodun Salami, Abdullahi Saka, Tarek Zayed | Generative AI in the Construction Industry: A State-of-the-art Analysis | 74 pages, 11 figures, 20 tables | null | null | null | cs.AI cs.CL cs.HC cs.IR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The construction industry is a vital sector of the global economy, but it
faces many productivity challenges in various processes, such as design,
planning, procurement, inspection, and maintenance. Generative artificial
intelligence (AI), which can create novel and realistic data or content, such
as text, image, vid... | [
{
"created": "Thu, 15 Feb 2024 13:39:55 GMT",
"version": "v1"
}
] | 2024-02-16 | [
[
"Taiwo",
"Ridwan",
""
],
[
"Bello",
"Idris Temitope",
""
],
[
"Abdulai",
"Sulemana Fatoama",
""
],
[
"Yussif",
"Abdul-Mugis",
""
],
[
"Salami",
"Babatunde Abiodun",
""
],
[
"Saka",
"Abdullahi",
""
],
[
"Zayed",
... | The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial intelligence (AI), which can create novel and realistic data or content, such as text, image, video... |
2109.01947 | Jim Apple | Jim Apple | Stretching Your Data With Taffy Filters | 15 pages, 15 figures | null | null | null | cs.DS cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Popular approximate membership query structures such as Bloom filters and
cuckoo filters are widely used in databases, security, and networking. These
structures represent sets approximately, and support at least two operations -
insert and lookup; lookup always returns true on elements inserted into the
structure; i... | [
{
"created": "Sat, 4 Sep 2021 22:52:16 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Sep 2021 15:09:07 GMT",
"version": "v2"
},
{
"created": "Sun, 19 Dec 2021 05:03:12 GMT",
"version": "v3"
},
{
"created": "Fri, 14 Jan 2022 03:24:29 GMT",
"version": "v4"
}
] | 2022-01-17 | [
[
"Apple",
"Jim",
""
]
] | Popular approximate membership query structures such as Bloom filters and cuckoo filters are widely used in databases, security, and networking. These structures represent sets approximately, and support at least two operations - insert and lookup; lookup always returns true on elements inserted into the structure; it ... |
1904.05814 | Tolga Birdal | Tolga Birdal and Umut \c{S}im\c{s}ekli | Probabilistic Permutation Synchronization using the Riemannian Structure
of the Birkhoff Polytope | To appear as oral presentation at CVPR 2019. 20 pages including the
supplementary material | null | null | null | cs.CV cs.GR cs.LG cs.NA cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an entirely new geometric and probabilistic approach to
synchronization of correspondences across multiple sets of objects or images.
In particular, we present two algorithms: (1) Birkhoff-Riemannian L-BFGS for
optimizing the relaxed version of the combinatorially intractable cycle
consistency loss in a pr... | [
{
"created": "Thu, 11 Apr 2019 16:12:50 GMT",
"version": "v1"
}
] | 2019-04-12 | [
[
"Birdal",
"Tolga",
""
],
[
"Şimşekli",
"Umut",
""
]
] | We present an entirely new geometric and probabilistic approach to synchronization of correspondences across multiple sets of objects or images. In particular, we present two algorithms: (1) Birkhoff-Riemannian L-BFGS for optimizing the relaxed version of the combinatorially intractable cycle consistency loss in a prin... |
1612.03959 | Tomoyoshi Shimobaba Dr. | Tomoyoshi Shimobaba, Yutaka Endo, Ryuji Hirayama, Yuki Nagahama,
Takayuki Takahashi, Takashi Nishitsuji, Takashi Kakue, Atsushi Shiraki, Naoki
Takada, Nobuyuki Masuda, Tomoyoshi Ito | Autoencoder-based holographic image restoration | null | null | 10.1364/AO.56.000F27 | null | cs.CV physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a holographic image restoration method using an autoencoder, which
is an artificial neural network. Because holographic reconstructed images are
often contaminated by direct light, conjugate light, and speckle noise, the
discrimination of reconstructed images may be difficult. In this paper, we
demonstrate... | [
{
"created": "Mon, 12 Dec 2016 22:49:03 GMT",
"version": "v1"
}
] | 2017-04-05 | [
[
"Shimobaba",
"Tomoyoshi",
""
],
[
"Endo",
"Yutaka",
""
],
[
"Hirayama",
"Ryuji",
""
],
[
"Nagahama",
"Yuki",
""
],
[
"Takahashi",
"Takayuki",
""
],
[
"Nishitsuji",
"Takashi",
""
],
[
"Kakue",
"Takashi",
""
... | We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by direct light, conjugate light, and speckle noise, the discrimination of reconstructed images may be difficult. In this paper, we demonstrate t... |
2306.15128 | Kalyani Marathe | Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Patrick
Howe, Sharan Ranjit S, Anand Bhattad, Aniruddha Kembhavi, Linda G. Shapiro,
Ranjay Krishna | MIMIC: Masked Image Modeling with Image Correspondences | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Dense pixel-specific representation learning at scale has been bottlenecked
due to the unavailability of large-scale multi-view datasets. Current methods
for building effective pretraining datasets heavily rely on annotated 3D
meshes, point clouds, and camera parameters from simulated environments,
preventing them fr... | [
{
"created": "Tue, 27 Jun 2023 00:40:12 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jun 2023 16:10:48 GMT",
"version": "v2"
},
{
"created": "Mon, 9 Oct 2023 02:15:22 GMT",
"version": "v3"
},
{
"created": "Thu, 16 May 2024 03:03:37 GMT",
"version": "v4"
}
] | 2024-05-17 | [
[
"Marathe",
"Kalyani",
""
],
[
"Bigverdi",
"Mahtab",
""
],
[
"Khan",
"Nishat",
""
],
[
"Kundu",
"Tuhin",
""
],
[
"Howe",
"Patrick",
""
],
[
"S",
"Sharan Ranjit",
""
],
[
"Bhattad",
"Anand",
""
],
[
"... | Dense pixel-specific representation learning at scale has been bottlenecked due to the unavailability of large-scale multi-view datasets. Current methods for building effective pretraining datasets heavily rely on annotated 3D meshes, point clouds, and camera parameters from simulated environments, preventing them from... |
2307.01902 | Jonathan Kelly | Oliver Limoyo and Filip Mari\'c and Matthew Giamou and Petra Alexson
and Ivan Petrovi\'c and Jonathan Kelly | Euclidean Equivariant Models for Generative Graphical Inverse Kinematics | Proceedings of the Robotics: Science and Systems (RSS'23) Workshop on
Symmetries in Robot Learning, Daegu, Republic of Korea, Jul. 10, 2023. arXiv
admin note: substantial text overlap with arXiv:2209.08812 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quickly and reliably finding accurate inverse kinematics (IK) solutions
remains a challenging problem for robotic manipulation. Existing numerical
solvers typically produce a single solution only and rely on local search
techniques to minimize a highly nonconvex objective function. Recently,
learning-based approaches... | [
{
"created": "Tue, 4 Jul 2023 20:12:02 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Limoyo",
"Oliver",
""
],
[
"Marić",
"Filip",
""
],
[
"Giamou",
"Matthew",
""
],
[
"Alexson",
"Petra",
""
],
[
"Petrović",
"Ivan",
""
],
[
"Kelly",
"Jonathan",
""
]
] | Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for robotic manipulation. Existing numerical solvers typically produce a single solution only and rely on local search techniques to minimize a highly nonconvex objective function. Recently, learning-based approaches t... |
1909.11336 | Jakub Radoszewski | Patryk Czajka and Jakub Radoszewski | Experimental Evaluation of Algorithms for Computing Quasiperiods | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quasiperiodicity is a generalization of periodicity that was introduced in
the early 1990s. Since then, dozens of algorithms for computing various types
of quasiperiodicity were proposed. Our work is a step towards answering the
question: "Which algorithm for computing quasiperiods to choose in practice?".
The centra... | [
{
"created": "Wed, 25 Sep 2019 08:22:35 GMT",
"version": "v1"
}
] | 2019-09-26 | [
[
"Czajka",
"Patryk",
""
],
[
"Radoszewski",
"Jakub",
""
]
] | Quasiperiodicity is a generalization of periodicity that was introduced in the early 1990s. Since then, dozens of algorithms for computing various types of quasiperiodicity were proposed. Our work is a step towards answering the question: "Which algorithm for computing quasiperiods to choose in practice?". The central ... |
1911.10194 | Bowen Cheng | Bowen Cheng and Maxwell D. Collins and Yukun Zhu and Ting Liu and
Thomas S. Huang and Hartwig Adam and Liang-Chieh Chen | Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up
Panoptic Segmentation | CVPR 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast
system for panoptic segmentation, aiming to establish a solid baseline for
bottom-up methods that can achieve comparable performance of two-stage methods
while yielding fast inference speed. In particular, Panoptic-DeepLab adopts the
dual-ASPP an... | [
{
"created": "Fri, 22 Nov 2019 18:59:51 GMT",
"version": "v1"
},
{
"created": "Fri, 6 Dec 2019 17:45:21 GMT",
"version": "v2"
},
{
"created": "Wed, 11 Mar 2020 17:59:11 GMT",
"version": "v3"
}
] | 2020-03-12 | [
[
"Cheng",
"Bowen",
""
],
[
"Collins",
"Maxwell D.",
""
],
[
"Zhu",
"Yukun",
""
],
[
"Liu",
"Ting",
""
],
[
"Huang",
"Thomas S.",
""
],
[
"Adam",
"Hartwig",
""
],
[
"Chen",
"Liang-Chieh",
""
]
] | In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast system for panoptic segmentation, aiming to establish a solid baseline for bottom-up methods that can achieve comparable performance of two-stage methods while yielding fast inference speed. In particular, Panoptic-DeepLab adopts the dual-ASPP and ... |
2311.17693 | Amr Gomaa | Amr Gomaa and Bilal Mahdy and Niko Kleer and Antonio Kr\"uger | Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using
Reinforcement and Imitation Learning | Accepted at IROS'24 | null | null | null | cs.RO cs.CV cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robot-assisted surgical systems have demonstrated significant potential in
enhancing surgical precision and minimizing human errors. However, existing
systems cannot accommodate individual surgeons' unique preferences and
requirements. Additionally, they primarily focus on general surgeries (e.g.,
laparoscopy) and ar... | [
{
"created": "Wed, 29 Nov 2023 15:00:06 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Mar 2024 18:24:46 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Aug 2024 16:52:09 GMT",
"version": "v3"
}
] | 2024-08-13 | [
[
"Gomaa",
"Amr",
""
],
[
"Mahdy",
"Bilal",
""
],
[
"Kleer",
"Niko",
""
],
[
"Krüger",
"Antonio",
""
]
] | Robot-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems cannot accommodate individual surgeons' unique preferences and requirements. Additionally, they primarily focus on general surgeries (e.g., laparoscopy) and are ... |
1912.10726 | Yudie Wang | Yudie Wang, Zhiwei Li, Chao Zeng, Gui-Song Xia, Huanfeng Shen | An Urban Water Extraction Method Combining Deep Learning and Google
Earth Engine | This manuscript has been accepted for publication in IEEE Journal of
Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13,
pp. 769-782, 2020 | IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing, vol. 13, pp. 769-782, 2020 | 10.1109/JSTARS.2020.2971783 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Urban water is important for the urban ecosystem. Accurate and efficient
detection of urban water with remote sensing data is of great significance for
urban management and planning. In this paper, we proposed a new method to
combine Google Earth Engine (GEE) with multiscale convolutional neural network
(MSCNN) to ex... | [
{
"created": "Mon, 23 Dec 2019 10:50:03 GMT",
"version": "v1"
},
{
"created": "Mon, 20 May 2024 03:18:19 GMT",
"version": "v2"
}
] | 2024-05-21 | [
[
"Wang",
"Yudie",
""
],
[
"Li",
"Zhiwei",
""
],
[
"Zeng",
"Chao",
""
],
[
"Xia",
"Gui-Song",
""
],
[
"Shen",
"Huanfeng",
""
]
] | Urban water is important for the urban ecosystem. Accurate and efficient detection of urban water with remote sensing data is of great significance for urban management and planning. In this paper, we proposed a new method to combine Google Earth Engine (GEE) with multiscale convolutional neural network (MSCNN) to extr... |
2011.01097 | Marta R. Costa-juss\`a | Carlos Escolano, Marta R. Costa-juss\`a, Jos\'e A. R. Fonollosa,
Carlos Segura | Enabling Zero-shot Multilingual Spoken Language Translation with
Language-Specific Encoders and Decoders | null | IEEE Workshop on Automatic Speech Recognition and Understanding
2021 | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current end-to-end approaches to Spoken Language Translation (SLT) rely on
limited training resources, especially for multilingual settings. On the other
hand, Multilingual Neural Machine Translation (MultiNMT) approaches rely on
higher-quality and more massive data sets. Our proposed method extends a
MultiNMT archit... | [
{
"created": "Mon, 2 Nov 2020 16:31:14 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Sep 2021 18:42:21 GMT",
"version": "v2"
}
] | 2021-09-17 | [
[
"Escolano",
"Carlos",
""
],
[
"Costa-jussà",
"Marta R.",
""
],
[
"Fonollosa",
"José A. R.",
""
],
[
"Segura",
"Carlos",
""
]
] | Current end-to-end approaches to Spoken Language Translation (SLT) rely on limited training resources, especially for multilingual settings. On the other hand, Multilingual Neural Machine Translation (MultiNMT) approaches rely on higher-quality and more massive data sets. Our proposed method extends a MultiNMT architec... |
1407.6580 | EPTCS | Roderick Bloem (Graz University of Technology, Austria), Swen Jacobs
(Graz University of Technology, Austria), Ayrat Khalimov (Graz University of
Technology, Austria) | Parameterized Synthesis Case Study: AMBA AHB | Conference version of arXiv:1406.7608. In Proceedings SYNT 2014,
arXiv:1407.4937 | EPTCS 157, 2014, pp. 68-83 | 10.4204/EPTCS.157.9 | null | cs.LO cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We revisit the AMBA AHB case study that has been used as a benchmark for
several reactive synthesis tools. Synthesizing AMBA AHB implementations that
can serve a large number of masters is still a difficult problem. We
demonstrate how to use parameterized synthesis in token rings to obtain an
implementation for a com... | [
{
"created": "Mon, 21 Jul 2014 07:28:39 GMT",
"version": "v1"
}
] | 2014-07-25 | [
[
"Bloem",
"Roderick",
"",
"Graz University of Technology, Austria"
],
[
"Jacobs",
"Swen",
"",
"Graz University of Technology, Austria"
],
[
"Khalimov",
"Ayrat",
"",
"Graz University of\n Technology, Austria"
]
] | We revisit the AMBA AHB case study that has been used as a benchmark for several reactive synthesis tools. Synthesizing AMBA AHB implementations that can serve a large number of masters is still a difficult problem. We demonstrate how to use parameterized synthesis in token rings to obtain an implementation for a compo... |
2201.00012 | Markus Peschl | Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano C. Siebert | MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced
Active Learning | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Inferring reward functions from demonstrations and pairwise preferences are
auspicious approaches for aligning Reinforcement Learning (RL) agents with
human intentions. However, state-of-the art methods typically focus on learning
a single reward model, thus rendering it difficult to trade off different
reward functi... | [
{
"created": "Thu, 30 Dec 2021 19:21:03 GMT",
"version": "v1"
}
] | 2022-01-04 | [
[
"Peschl",
"Markus",
""
],
[
"Zgonnikov",
"Arkady",
""
],
[
"Oliehoek",
"Frans A.",
""
],
[
"Siebert",
"Luciano C.",
""
]
] | Inferring reward functions from demonstrations and pairwise preferences are auspicious approaches for aligning Reinforcement Learning (RL) agents with human intentions. However, state-of-the art methods typically focus on learning a single reward model, thus rendering it difficult to trade off different reward function... |
2211.12857 | Stefan Kolek | Stefan Kolek, Robert Windesheim, Hector Andrade Loarca, Gitta
Kutyniok, Ron Levie | Explaining Image Classifiers with Multiscale Directional Image
Representation | null | CVPR 2023 | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Image classifiers are known to be difficult to interpret and therefore
require explanation methods to understand their decisions. We present
ShearletX, a novel mask explanation method for image classifiers based on the
shearlet transform -- a multiscale directional image representation. Current
mask explanation metho... | [
{
"created": "Tue, 22 Nov 2022 09:24:45 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Nov 2022 09:20:55 GMT",
"version": "v2"
},
{
"created": "Fri, 28 Apr 2023 12:58:15 GMT",
"version": "v3"
}
] | 2023-05-01 | [
[
"Kolek",
"Stefan",
""
],
[
"Windesheim",
"Robert",
""
],
[
"Loarca",
"Hector Andrade",
""
],
[
"Kutyniok",
"Gitta",
""
],
[
"Levie",
"Ron",
""
]
] | Image classifiers are known to be difficult to interpret and therefore require explanation methods to understand their decisions. We present ShearletX, a novel mask explanation method for image classifiers based on the shearlet transform -- a multiscale directional image representation. Current mask explanation methods... |
2405.05080 | Helena Amalie Haxvig | Helena A. Haxvig | Concerns on Bias in Large Language Models when Creating Synthetic
Personae | 4 pages, accepted at the "LLM-Based Synthetic Personae and Data in
HCI" workshop at CHI2024 | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This position paper explores the benefits, drawbacks, and ethical
considerations of incorporating synthetic personae in HCI research,
particularly focusing on the customization challenges beyond the limitations of
current Large Language Models (LLMs). These perspectives are derived from the
initial results of a sub-s... | [
{
"created": "Wed, 8 May 2024 14:24:11 GMT",
"version": "v1"
}
] | 2024-05-09 | [
[
"Haxvig",
"Helena A.",
""
]
] | This position paper explores the benefits, drawbacks, and ethical considerations of incorporating synthetic personae in HCI research, particularly focusing on the customization challenges beyond the limitations of current Large Language Models (LLMs). These perspectives are derived from the initial results of a sub-stu... |
2001.08361 | Samuel McCandlish | Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin
Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei | Scaling Laws for Neural Language Models | 19 pages, 15 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study empirical scaling laws for language model performance on the
cross-entropy loss. The loss scales as a power-law with model size, dataset
size, and the amount of compute used for training, with some trends spanning
more than seven orders of magnitude. Other architectural details such as
network width or depth... | [
{
"created": "Thu, 23 Jan 2020 03:59:20 GMT",
"version": "v1"
}
] | 2020-01-24 | [
[
"Kaplan",
"Jared",
""
],
[
"McCandlish",
"Sam",
""
],
[
"Henighan",
"Tom",
""
],
[
"Brown",
"Tom B.",
""
],
[
"Chess",
"Benjamin",
""
],
[
"Child",
"Rewon",
""
],
[
"Gray",
"Scott",
""
],
[
"Radford... | We study empirical scaling laws for language model performance on the cross-entropy loss. The loss scales as a power-law with model size, dataset size, and the amount of compute used for training, with some trends spanning more than seven orders of magnitude. Other architectural details such as network width or depth h... |
1611.03895 | George Nomikos | George Nomikos and Xenofontas Dimitropoulos | traIXroute: Detecting IXPs in traceroute paths | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Internet eXchange Points (IXP) are critical components of the Internet
infrastructure that affect its performance, evolution, security and economics.
In this work, we introduce techniques to augment the well-known traceroute tool
with the capability of identifying if and where exactly IXPs are crossed in
endto- end p... | [
{
"created": "Fri, 11 Nov 2016 22:06:12 GMT",
"version": "v1"
}
] | 2016-11-15 | [
[
"Nomikos",
"George",
""
],
[
"Dimitropoulos",
"Xenofontas",
""
]
] | Internet eXchange Points (IXP) are critical components of the Internet infrastructure that affect its performance, evolution, security and economics. In this work, we introduce techniques to augment the well-known traceroute tool with the capability of identifying if and where exactly IXPs are crossed in endto- end pat... |
2406.16696 | Gilad Abiri | Gilad Abiri | Public Constitutional AI | null | null | null | null | cs.CY cs.AI | http://creativecommons.org/licenses/by/4.0/ | We are increasingly subjected to the power of AI authorities. As AI decisions
become inescapable, entering domains such as healthcare, education, and law, we
must confront a vital question: how can we ensure AI systems have the
legitimacy necessary for effective governance? This essay argues that to secure
AI legitim... | [
{
"created": "Mon, 24 Jun 2024 15:00:01 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Abiri",
"Gilad",
""
]
] | We are increasingly subjected to the power of AI authorities. As AI decisions become inescapable, entering domains such as healthcare, education, and law, we must confront a vital question: how can we ensure AI systems have the legitimacy necessary for effective governance? This essay argues that to secure AI legitimac... |
2008.05459 | Jun Qi | Jun Qi, Jun Du, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee | Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network
Based Vector-to-Vector Regression | null | IEEE Transactions on Signal Processing, Vol 68, pp. 3411-3422,
2020 | 10.1109/TSP.2020.2993164 | null | cs.LG eess.SP stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we show that, in vector-to-vector regression utilizing deep
neural networks (DNNs), a generalized loss of mean absolute error (MAE) between
the predicted and expected feature vectors is upper bounded by the sum of an
approximation error, an estimation error, and an optimization error. Leveraging
upon e... | [
{
"created": "Tue, 4 Aug 2020 19:39:41 GMT",
"version": "v1"
}
] | 2020-08-13 | [
[
"Qi",
"Jun",
""
],
[
"Du",
"Jun",
""
],
[
"Siniscalchi",
"Sabato Marco",
""
],
[
"Ma",
"Xiaoli",
""
],
[
"Lee",
"Chin-Hui",
""
]
] | In this paper, we show that, in vector-to-vector regression utilizing deep neural networks (DNNs), a generalized loss of mean absolute error (MAE) between the predicted and expected feature vectors is upper bounded by the sum of an approximation error, an estimation error, and an optimization error. Leveraging upon err... |
2109.04066 | Xinbei Ma | Xinbei Ma, Zhuosheng Zhang, Hai Zhao | Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-party multi-turn dialogue comprehension brings unprecedented challenges
on handling the complicated scenarios from multiple speakers and criss-crossed
discourse relationship among speaker-aware utterances. Most existing methods
deal with dialogue contexts as plain texts and pay insufficient attention to
the cru... | [
{
"created": "Thu, 9 Sep 2021 07:12:22 GMT",
"version": "v1"
}
] | 2021-09-10 | [
[
"Ma",
"Xinbei",
""
],
[
"Zhang",
"Zhuosheng",
""
],
[
"Zhao",
"Hai",
""
]
] | Multi-party multi-turn dialogue comprehension brings unprecedented challenges on handling the complicated scenarios from multiple speakers and criss-crossed discourse relationship among speaker-aware utterances. Most existing methods deal with dialogue contexts as plain texts and pay insufficient attention to the cruci... |
0803.2220 | Panagiotis Papadakos | Panagiotis Papadakos, Giorgos Vasiliadis, Yannis Theoharis, Nikos
Armenatzoglou, Stella Kopidaki, Yannis Marketakis, Manos Daskalakis, Kostas
Karamaroudis, Giorgos Linardakis, Giannis Makrydakis, Vangelis Papathanasiou,
Lefteris Sardis, Petros Tsialiamanis, Georgia Troullinou, Kostas Vandikas,
Dimitris Velegrak... | The Anatomy of Mitos Web Search Engine | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Engineering a Web search engine offering effective and efficient information
retrieval is a challenging task. This document presents our experiences from
designing and developing a Web search engine offering a wide spectrum of
functionalities and we report some interesting experimental results. A rather
peculiar desi... | [
{
"created": "Fri, 14 Mar 2008 19:18:15 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Mar 2008 17:25:19 GMT",
"version": "v2"
}
] | 2008-12-18 | [
[
"Papadakos",
"Panagiotis",
""
],
[
"Vasiliadis",
"Giorgos",
""
],
[
"Theoharis",
"Yannis",
""
],
[
"Armenatzoglou",
"Nikos",
""
],
[
"Kopidaki",
"Stella",
""
],
[
"Marketakis",
"Yannis",
""
],
[
"Daskalakis",
"... | Engineering a Web search engine offering effective and efficient information retrieval is a challenging task. This document presents our experiences from designing and developing a Web search engine offering a wide spectrum of functionalities and we report some interesting experimental results. A rather peculiar design... |
1912.04078 | Qiaoyun Wu | Qiaoyun Wu, Kai Xu, Jun Wang, Mingliang Xu, Xiaoxi Gong, Dinesh
Manocha | Reinforcement Learning-based Visual Navigation with
Information-Theoretic Regularization | corresponding author: Kai Xu (kevin.kai.xu@gmail.com) and Jun Wang
(wjun@nuaa.edu.cn), accepted by IEEE Robotics and Automation Letters | null | null | null | cs.RO | http://creativecommons.org/publicdomain/zero/1.0/ | To enhance the cross-target and cross-scene generalization of target-driven
visual navigation based on deep reinforcement learning (RL), we introduce an
information-theoretic regularization term into the RL objective. The
regularization maximizes the mutual information between navigation actions and
visual observatio... | [
{
"created": "Mon, 9 Dec 2019 14:27:21 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Apr 2020 02:31:44 GMT",
"version": "v2"
},
{
"created": "Fri, 21 Aug 2020 14:20:05 GMT",
"version": "v3"
},
{
"created": "Mon, 2 Nov 2020 01:39:52 GMT",
"version": "v4"
},
{
"crea... | 2022-05-10 | [
[
"Wu",
"Qiaoyun",
""
],
[
"Xu",
"Kai",
""
],
[
"Wang",
"Jun",
""
],
[
"Xu",
"Mingliang",
""
],
[
"Gong",
"Xiaoxi",
""
],
[
"Manocha",
"Dinesh",
""
]
] | To enhance the cross-target and cross-scene generalization of target-driven visual navigation based on deep reinforcement learning (RL), we introduce an information-theoretic regularization term into the RL objective. The regularization maximizes the mutual information between navigation actions and visual observation ... |
2103.15493 | Benjamin Marussig | A. Borkovi\'c, B. Marussig, and G. Radenkovi\'c | Geometrically exact static isogeometric analysis of arbitrarily curved
plane Bernoulli-Euler beam | null | Thin-Walled Structures, Volume 170, January 2022, 108539 | 10.1016/j.tws.2021.108539 | null | cs.CE cs.NA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a geometrically exact nonlinear analysis of elastic in-plane beams
in the context of finite but small strain theory. The formulation utilizes the
full beam metric and obtains the complete analytic elastic constitutive model
by employing the exact relation between the reference and equidistant strains.
Thus... | [
{
"created": "Mon, 29 Mar 2021 10:51:20 GMT",
"version": "v1"
}
] | 2021-11-24 | [
[
"Borković",
"A.",
""
],
[
"Marussig",
"B.",
""
],
[
"Radenković",
"G.",
""
]
] | We present a geometrically exact nonlinear analysis of elastic in-plane beams in the context of finite but small strain theory. The formulation utilizes the full beam metric and obtains the complete analytic elastic constitutive model by employing the exact relation between the reference and equidistant strains. Thus, ... |
1808.08279 | Navid Alemi Koohbanani | Navid Alemi Koohababni, Mostafa Jahanifar, Ali Gooya, and Nasir
Rajpoot | Nuclei Detection Using Mixture Density Networks | 8 pages, 3 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nuclei detection is an important task in the histology domain as it is a main
step toward further analysis such as cell counting, cell segmentation, study of
cell connections, etc. This is a challenging task due to the complex texture of
histology image, variation in shape, and touching cells. To tackle these
hurdles... | [
{
"created": "Wed, 22 Aug 2018 05:59:19 GMT",
"version": "v1"
}
] | 2018-08-28 | [
[
"Koohababni",
"Navid Alemi",
""
],
[
"Jahanifar",
"Mostafa",
""
],
[
"Gooya",
"Ali",
""
],
[
"Rajpoot",
"Nasir",
""
]
] | Nuclei detection is an important task in the histology domain as it is a main step toward further analysis such as cell counting, cell segmentation, study of cell connections, etc. This is a challenging task due to the complex texture of histology image, variation in shape, and touching cells. To tackle these hurdles, ... |
0902.2674 | Evira Mayordomo | Lance Fortnow, Jack H. Lutz, Elvira Mayordomo | Inseparability and Strong Hypotheses for Disjoint NP Pairs | null | null | null | null | cs.CC | http://creativecommons.org/licenses/by/3.0/ | This paper investigates the existence of inseparable disjoint pairs of NP
languages and related strong hypotheses in computational complexity. Our main
theorem says that, if NP does not have measure 0 in EXP, then there exist
disjoint pairs of NP languages that are P-inseparable, in fact
TIME(2^(n^k))-inseparable. We... | [
{
"created": "Mon, 16 Feb 2009 12:27:54 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Sep 2009 11:25:44 GMT",
"version": "v2"
},
{
"created": "Thu, 7 Jan 2010 17:04:19 GMT",
"version": "v3"
},
{
"created": "Wed, 3 Feb 2010 11:35:09 GMT",
"version": "v4"
}
] | 2010-02-03 | [
[
"Fortnow",
"Lance",
""
],
[
"Lutz",
"Jack H.",
""
],
[
"Mayordomo",
"Elvira",
""
]
] | This paper investigates the existence of inseparable disjoint pairs of NP languages and related strong hypotheses in computational complexity. Our main theorem says that, if NP does not have measure 0 in EXP, then there exist disjoint pairs of NP languages that are P-inseparable, in fact TIME(2^(n^k))-inseparable. We a... |
2312.17025 | Chen Qian | Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, Yifei Wang,
Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun | Experiential Co-Learning of Software-Developing Agents | Accepted to ACL 2024, https://github.com/OpenBMB/ChatDev | null | null | null | cs.CL cs.AI cs.LG cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in large language models (LLMs) have brought significant
changes to various domains, especially through LLM-driven autonomous agents. A
representative scenario is in software development, where LLM agents
demonstrate efficient collaboration, task division, and assurance of software
quality, marked... | [
{
"created": "Thu, 28 Dec 2023 13:50:42 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 12:50:08 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Jun 2024 13:39:20 GMT",
"version": "v3"
}
] | 2024-06-06 | [
[
"Qian",
"Chen",
""
],
[
"Dang",
"Yufan",
""
],
[
"Li",
"Jiahao",
""
],
[
"Liu",
"Wei",
""
],
[
"Xie",
"Zihao",
""
],
[
"Wang",
"Yifei",
""
],
[
"Chen",
"Weize",
""
],
[
"Yang",
"Cheng",
""
... | Recent advancements in large language models (LLMs) have brought significant changes to various domains, especially through LLM-driven autonomous agents. A representative scenario is in software development, where LLM agents demonstrate efficient collaboration, task division, and assurance of software quality, markedly... |
2406.07229 | JinKyu Lee | JinKyu Lee, Jihie Kim | Improving Commonsense Bias Classification by Mitigating the Influence of
Demographic Terms | 10 pages, 5 figures, conference presentation, supported by MSIT
(Korea) under ITRC program (IITP-2024-2020-0-01789) and AI Convergence
Innovation HR Development (IITP-2024-RS-2023-00254592) | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding commonsense knowledge is crucial in the field of Natural
Language Processing (NLP). However, the presence of demographic terms in
commonsense knowledge poses a potential risk of compromising the performance of
NLP models. This study aims to investigate and propose methods for enhancing
the performance a... | [
{
"created": "Tue, 11 Jun 2024 13:09:16 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Lee",
"JinKyu",
""
],
[
"Kim",
"Jihie",
""
]
] | Understanding commonsense knowledge is crucial in the field of Natural Language Processing (NLP). However, the presence of demographic terms in commonsense knowledge poses a potential risk of compromising the performance of NLP models. This study aims to investigate and propose methods for enhancing the performance and... |
2308.16415 | Kyuhong Shim | Kyuhong Shim, Jinkyu Lee, Simyung Chang, Kyuwoong Hwang | Knowledge Distillation from Non-streaming to Streaming ASR Encoder using
Auxiliary Non-streaming Layer | Accepted to Interspeech 2023 | null | null | null | cs.CL eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Streaming automatic speech recognition (ASR) models are restricted from
accessing future context, which results in worse performance compared to the
non-streaming models. To improve the performance of streaming ASR, knowledge
distillation (KD) from the non-streaming to streaming model has been studied,
mainly focusin... | [
{
"created": "Thu, 31 Aug 2023 02:58:33 GMT",
"version": "v1"
}
] | 2023-09-01 | [
[
"Shim",
"Kyuhong",
""
],
[
"Lee",
"Jinkyu",
""
],
[
"Chang",
"Simyung",
""
],
[
"Hwang",
"Kyuwoong",
""
]
] | Streaming automatic speech recognition (ASR) models are restricted from accessing future context, which results in worse performance compared to the non-streaming models. To improve the performance of streaming ASR, knowledge distillation (KD) from the non-streaming to streaming model has been studied, mainly focusing ... |
2007.13135 | Peng Gao | Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao,
Zuohui Fu, Gerard de Melo, Sen Su | Contrastive Visual-Linguistic Pretraining | null | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several multi-modality representation learning approaches such as LXMERT and
ViLBERT have been proposed recently. Such approaches can achieve superior
performance due to the high-level semantic information captured during
large-scale multimodal pretraining. However, as ViLBERT and LXMERT adopt visual
region regressio... | [
{
"created": "Sun, 26 Jul 2020 14:26:18 GMT",
"version": "v1"
}
] | 2020-07-28 | [
[
"Shi",
"Lei",
""
],
[
"Shuang",
"Kai",
""
],
[
"Geng",
"Shijie",
""
],
[
"Su",
"Peng",
""
],
[
"Jiang",
"Zhengkai",
""
],
[
"Gao",
"Peng",
""
],
[
"Fu",
"Zuohui",
""
],
[
"de Melo",
"Gerard",
... | Several multi-modality representation learning approaches such as LXMERT and ViLBERT have been proposed recently. Such approaches can achieve superior performance due to the high-level semantic information captured during large-scale multimodal pretraining. However, as ViLBERT and LXMERT adopt visual region regression ... |
2103.14986 | Ildar Batyrshin Z. | Ildar Batyrshin, Luis Alfonso Villa-Vargas, Marco Antonio
Ramirez-Salinas, Moises Salinas-Rosales, Nailya Kubysheva | Generating Negations of Probability Distributions | 10 pages, 1 figure | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Recently it was introduced a negation of a probability distribution. The need
for such negation arises when a knowledge-based system can use the terms like
NOT HIGH, where HIGH is represented by a probability distribution (pd). For
example, HIGH PROFIT or HIGH PRICE can be considered. The application of this
negation... | [
{
"created": "Sat, 27 Mar 2021 20:24:10 GMT",
"version": "v1"
}
] | 2021-03-30 | [
[
"Batyrshin",
"Ildar",
""
],
[
"Villa-Vargas",
"Luis Alfonso",
""
],
[
"Ramirez-Salinas",
"Marco Antonio",
""
],
[
"Salinas-Rosales",
"Moises",
""
],
[
"Kubysheva",
"Nailya",
""
]
] | Recently it was introduced a negation of a probability distribution. The need for such negation arises when a knowledge-based system can use the terms like NOT HIGH, where HIGH is represented by a probability distribution (pd). For example, HIGH PROFIT or HIGH PRICE can be considered. The application of this negation i... |
1710.04347 | Duckhwan Kim | Duckhwan Kim, Taesik Na, Sudhakar Yalamanchili, and Saibal
Mukhopadhyay | NeuroTrainer: An Intelligent Memory Module for Deep Learning Training | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents, NeuroTrainer, an intelligent memory module with
in-memory accelerators that forms the building block of a scalable architecture
for energy efficient training for deep neural networks. The proposed
architecture is based on integration of a homogeneous computing substrate
composed of multiple proce... | [
{
"created": "Thu, 12 Oct 2017 02:56:37 GMT",
"version": "v1"
}
] | 2017-10-13 | [
[
"Kim",
"Duckhwan",
""
],
[
"Na",
"Taesik",
""
],
[
"Yalamanchili",
"Sudhakar",
""
],
[
"Mukhopadhyay",
"Saibal",
""
]
] | This paper presents, NeuroTrainer, an intelligent memory module with in-memory accelerators that forms the building block of a scalable architecture for energy efficient training for deep neural networks. The proposed architecture is based on integration of a homogeneous computing substrate composed of multiple process... |
2405.01615 | Chengqian Gao | Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu | Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning | 16 pages, including proofs in the appendix | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Evolution Strategies (ES) have emerged as a competitive alternative for
model-free reinforcement learning, showcasing exemplary performance in tasks
like Mujoco and Atari. Notably, they shine in scenarios with imperfect reward
functions, making them invaluable for real-world applications where dense
reward signals ma... | [
{
"created": "Thu, 2 May 2024 16:19:48 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Gao",
"Chengqian",
""
],
[
"de Vazelhes",
"William",
""
],
[
"Zhang",
"Hualin",
""
],
[
"Gu",
"Bin",
""
],
[
"Xu",
"Zhiqiang",
""
]
] | Evolution Strategies (ES) have emerged as a competitive alternative for model-free reinforcement learning, showcasing exemplary performance in tasks like Mujoco and Atari. Notably, they shine in scenarios with imperfect reward functions, making them invaluable for real-world applications where dense reward signals may ... |
1203.3498 | Enrique Munoz de Cote | Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas
R. Jennings | Automated Planning in Repeated Adversarial Games | Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty
in Artificial Intelligence (UAI2010) | null | null | UAI-P-2010-PG-376-383 | cs.GT cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Game theory's prescriptive power typically relies on full rationality and/or
self-play interactions. In contrast, this work sets aside these fundamental
premises and focuses instead on heterogeneous autonomous interactions between
two or more agents. Specifically, we introduce a new and concise representation
for rep... | [
{
"created": "Thu, 15 Mar 2012 11:17:56 GMT",
"version": "v1"
}
] | 2012-03-19 | [
[
"de Cote",
"Enrique Munoz",
""
],
[
"Chapman",
"Archie C.",
""
],
[
"Sykulski",
"Adam M.",
""
],
[
"Jennings",
"Nicholas R.",
""
]
] | Game theory's prescriptive power typically relies on full rationality and/or self-play interactions. In contrast, this work sets aside these fundamental premises and focuses instead on heterogeneous autonomous interactions between two or more agents. Specifically, we introduce a new and concise representation for repea... |
2303.06638 | Thomas Dag\`es | Thomas Dag\`es, Michael Lindenbaum, Alfred M. Bruckstein | From Compass and Ruler to Convolution and Nonlinearity: On the
Surprising Difficulty of Understanding a Simple CNN Solving a Simple
Geometric Estimation Task | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural networks are omnipresent, but remain poorly understood. Their
increasing complexity and use in critical systems raises the important
challenge to full interpretability. We propose to address a simple well-posed
learning problem: estimating the radius of a centred pulse in a one-dimensional
signal or of a centr... | [
{
"created": "Sun, 12 Mar 2023 11:30:49 GMT",
"version": "v1"
}
] | 2023-03-14 | [
[
"Dagès",
"Thomas",
""
],
[
"Lindenbaum",
"Michael",
""
],
[
"Bruckstein",
"Alfred M.",
""
]
] | Neural networks are omnipresent, but remain poorly understood. Their increasing complexity and use in critical systems raises the important challenge to full interpretability. We propose to address a simple well-posed learning problem: estimating the radius of a centred pulse in a one-dimensional signal or of a centred... |
2210.11720 | Wangjie Jiang | Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi
Liu, Siheng Li, Bang Liu, Yujiu Yang and Yefeng Zheng | MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese
Spelling Correction | The full version of CIKM 2022 accepted resource paper "MCSCSet: A
Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction".
(https://dl.acm.org/doi/10.1145/3511808.3557636) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Chinese Spelling Correction (CSC) is gaining increasing attention due to its
promise of automatically detecting and correcting spelling errors in Chinese
texts. Despite its extensive use in many applications, like search engines and
optical character recognition systems, little has been explored in medical
scenarios ... | [
{
"created": "Fri, 21 Oct 2022 04:11:25 GMT",
"version": "v1"
}
] | 2022-10-24 | [
[
"Jiang",
"Wangjie",
""
],
[
"Ye",
"Zhihao",
""
],
[
"Ou",
"Zijing",
""
],
[
"Zhao",
"Ruihui",
""
],
[
"Zheng",
"Jianguang",
""
],
[
"Liu",
"Yi",
""
],
[
"Li",
"Siheng",
""
],
[
"Liu",
"Bang",
... | Chinese Spelling Correction (CSC) is gaining increasing attention due to its promise of automatically detecting and correcting spelling errors in Chinese texts. Despite its extensive use in many applications, like search engines and optical character recognition systems, little has been explored in medical scenarios in... |
2108.08771 | Hongkai Chen | Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu,
Chiew-Lan Tai, Long Quan | Learning to Match Features with Seeded Graph Matching Network | Accepted by ICCV2021, code to be realeased at
https://github.com/vdvchen/SGMNet | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Matching local features across images is a fundamental problem in computer
vision. Targeting towards high accuracy and efficiency, we propose Seeded Graph
Matching Network, a graph neural network with sparse structure to reduce
redundant connectivity and learn compact representation. The network consists
of 1) Seedin... | [
{
"created": "Thu, 19 Aug 2021 16:25:23 GMT",
"version": "v1"
}
] | 2021-08-20 | [
[
"Chen",
"Hongkai",
""
],
[
"Luo",
"Zixin",
""
],
[
"Zhang",
"Jiahui",
""
],
[
"Zhou",
"Lei",
""
],
[
"Bai",
"Xuyang",
""
],
[
"Hu",
"Zeyu",
""
],
[
"Tai",
"Chiew-Lan",
""
],
[
"Quan",
"Long",
... | Matching local features across images is a fundamental problem in computer vision. Targeting towards high accuracy and efficiency, we propose Seeded Graph Matching Network, a graph neural network with sparse structure to reduce redundant connectivity and learn compact representation. The network consists of 1) Seeding ... |
2002.09723 | Cristian Rusu | Cristian Rusu and Lorenzo Rosasco | Constructing fast approximate eigenspaces with application to the fast
graph Fourier transforms | null | null | 10.1109/TSP.2021.3107629 | null | cs.LG cs.NA eess.SP math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate numerically efficient approximations of eigenspaces associated
to symmetric and general matrices. The eigenspaces are factored into a fixed
number of fundamental components that can be efficiently manipulated (we
consider extended orthogonal Givens or scaling and shear transformations). The
number of t... | [
{
"created": "Sat, 22 Feb 2020 15:55:50 GMT",
"version": "v1"
},
{
"created": "Fri, 20 Mar 2020 19:32:39 GMT",
"version": "v2"
},
{
"created": "Tue, 18 May 2021 20:32:41 GMT",
"version": "v3"
}
] | 2021-09-29 | [
[
"Rusu",
"Cristian",
""
],
[
"Rosasco",
"Lorenzo",
""
]
] | We investigate numerically efficient approximations of eigenspaces associated to symmetric and general matrices. The eigenspaces are factored into a fixed number of fundamental components that can be efficiently manipulated (we consider extended orthogonal Givens or scaling and shear transformations). The number of the... |
1110.5450 | Andreas Kolb | Roberto Cespi, Andreas Kolb, Marvin Lindner | Hand Tracking based on Hierarchical Clustering of Range Data | Technical Report | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fast and robust hand segmentation and tracking is an essential basis for
gesture recognition and thus an important component for contact-less
human-computer interaction (HCI). Hand gesture recognition based on 2D video
data has been intensively investigated. However, in practical scenarios purely
intensity based appr... | [
{
"created": "Tue, 25 Oct 2011 09:24:25 GMT",
"version": "v1"
}
] | 2011-10-26 | [
[
"Cespi",
"Roberto",
""
],
[
"Kolb",
"Andreas",
""
],
[
"Lindner",
"Marvin",
""
]
] | Fast and robust hand segmentation and tracking is an essential basis for gesture recognition and thus an important component for contact-less human-computer interaction (HCI). Hand gesture recognition based on 2D video data has been intensively investigated. However, in practical scenarios purely intensity based approa... |
1911.11288 | Sergey Zakharov | Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon | Autolabeling 3D Objects with Differentiable Rendering of SDF Shape
Priors | CVPR 2020 (Oral). 8 pages + supplementary material. The first two
authors contributed equally to this work | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an automatic annotation pipeline to recover 9D cuboids and 3D
shapes from pre-trained off-the-shelf 2D detectors and sparse LIDAR data. Our
autolabeling method solves an ill-posed inverse problem by considering learned
shape priors and optimizing geometric and physical parameters. To address this
challengi... | [
{
"created": "Tue, 26 Nov 2019 00:11:49 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Apr 2020 15:44:47 GMT",
"version": "v2"
}
] | 2020-04-03 | [
[
"Zakharov",
"Sergey",
""
],
[
"Kehl",
"Wadim",
""
],
[
"Bhargava",
"Arjun",
""
],
[
"Gaidon",
"Adrien",
""
]
] | We present an automatic annotation pipeline to recover 9D cuboids and 3D shapes from pre-trained off-the-shelf 2D detectors and sparse LIDAR data. Our autolabeling method solves an ill-posed inverse problem by considering learned shape priors and optimizing geometric and physical parameters. To address this challenging... |
2402.00152 | Yahong Yang | Yahong Yang and Juncai He | Deeper or Wider: A Perspective from Optimal Generalization Error with
Sobolev Loss | arXiv admin note: text overlap with arXiv:2310.10766,
arXiv:2305.08466 | null | null | null | cs.LG cs.NA math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Constructing the architecture of a neural network is a challenging pursuit
for the machine learning community, and the dilemma of whether to go deeper or
wider remains a persistent question. This paper explores a comparison between
deeper neural networks (DeNNs) with a flexible number of layers and wider
neural netwo... | [
{
"created": "Wed, 31 Jan 2024 20:10:10 GMT",
"version": "v1"
},
{
"created": "Sun, 12 May 2024 13:47:30 GMT",
"version": "v2"
}
] | 2024-05-14 | [
[
"Yang",
"Yahong",
""
],
[
"He",
"Juncai",
""
]
] | Constructing the architecture of a neural network is a challenging pursuit for the machine learning community, and the dilemma of whether to go deeper or wider remains a persistent question. This paper explores a comparison between deeper neural networks (DeNNs) with a flexible number of layers and wider neural network... |
1003.5437 | Secretary Aircc Journal | K.Prasanth (1), Dr.K.Duraiswamy (2), K.Jayasudha (3) and
Dr.C.Chandrasekar (4), ((1) K.S.Rangasamy College of Technology, India, (2)
K.S.Rangasamy College of Technology, India, (3) K.S.R College of Engineering,
India, (4) Periyar University, India) | Improved Packet Forwarding Approach in Vehicular Ad Hoc Networks Using
RDGR Algorithm | 14 Pages, IJNGN Journal | International Journal of Next-Generation Networks 2.1 (2010) 64-77 | 10.5121/ijngn.2010.2106 | null | cs.NI | http://creativecommons.org/licenses/by-nc-sa/3.0/ | VANETs (Vehicular Ad hoc Networks) are highly mobile wireless ad hoc networks
and will play an important role in public safety communications and commercial
applications. Routing of data in VANETs is a challenging task due to rapidly
changing topology and high speed mobility of vehicles. Position based routing
protoc... | [
{
"created": "Mon, 29 Mar 2010 06:55:33 GMT",
"version": "v1"
}
] | 2010-07-15 | [
[
"Prasanth",
"K.",
""
],
[
"Duraiswamy",
"Dr. K.",
""
],
[
"Jayasudha",
"K.",
""
],
[
"Chandrasekar",
"Dr. C.",
""
]
] | VANETs (Vehicular Ad hoc Networks) are highly mobile wireless ad hoc networks and will play an important role in public safety communications and commercial applications. Routing of data in VANETs is a challenging task due to rapidly changing topology and high speed mobility of vehicles. Position based routing protocol... |
1901.05376 | Faisal Qureshi | Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi | Joint Spatial and Layer Attention for Convolutional Networks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel approach that learns to sequentially attend
to different Convolutional Neural Networks (CNN) layers (i.e., ``what'' feature
abstraction to attend to) and different spatial locations of the selected
feature map (i.e., ``where'') to perform the task at hand. Specifically, at
each Recur... | [
{
"created": "Wed, 16 Jan 2019 16:32:31 GMT",
"version": "v1"
},
{
"created": "Fri, 31 May 2019 11:38:07 GMT",
"version": "v2"
}
] | 2019-06-03 | [
[
"Joseph",
"Tony",
""
],
[
"Derpanis",
"Konstantinos G.",
""
],
[
"Qureshi",
"Faisal Z.",
""
]
] | In this paper, we propose a novel approach that learns to sequentially attend to different Convolutional Neural Networks (CNN) layers (i.e., ``what'' feature abstraction to attend to) and different spatial locations of the selected feature map (i.e., ``where'') to perform the task at hand. Specifically, at each Recurre... |
2312.02405 | Anssi Kanervisto | Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander
Schulhoff, Brandon Houghton, Rohin Shah | BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for
Training and Benchmarking Agents that Solve Fuzzy Tasks | NeurIPS 2023 Datasets and Benchmarks Oral. Dataset links are
available on Github: https://github.com/minerllabs/basalt-benchmark | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The MineRL BASALT competition has served to catalyze advances in learning
from human feedback through four hard-to-specify tasks in Minecraft, such as
create and photograph a waterfall. Given the completion of two years of BASALT
competitions, we offer to the community a formalized benchmark through the
BASALT Evalua... | [
{
"created": "Tue, 5 Dec 2023 00:29:44 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Milani",
"Stephanie",
""
],
[
"Kanervisto",
"Anssi",
""
],
[
"Ramanauskas",
"Karolis",
""
],
[
"Schulhoff",
"Sander",
""
],
[
"Houghton",
"Brandon",
""
],
[
"Shah",
"Rohin",
""
]
] | The MineRL BASALT competition has served to catalyze advances in learning from human feedback through four hard-to-specify tasks in Minecraft, such as create and photograph a waterfall. Given the completion of two years of BASALT competitions, we offer to the community a formalized benchmark through the BASALT Evaluati... |
1712.00376 | Alexios Balatsoukas-Stimming | Alexios Balatsoukas-Stimming, Tomasz Podzorny, Jan Uythoven | Polar Coding for the Large Hadron Collider: Challenges in Code
Concatenation | Presented at the 51st Asilomar Conference on Signals, Systems, and
Computers, November 2017 | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we present a concatenated repetition-polar coding scheme that
is aimed at applications requiring highly unbalanced unequal bit-error
protection, such as the Beam Interlock System of the Large Hadron Collider at
CERN. Even though this concatenation scheme is simple, it reveals significant
challenges that... | [
{
"created": "Fri, 1 Dec 2017 15:48:35 GMT",
"version": "v1"
}
] | 2017-12-04 | [
[
"Balatsoukas-Stimming",
"Alexios",
""
],
[
"Podzorny",
"Tomasz",
""
],
[
"Uythoven",
"Jan",
""
]
] | In this work, we present a concatenated repetition-polar coding scheme that is aimed at applications requiring highly unbalanced unequal bit-error protection, such as the Beam Interlock System of the Large Hadron Collider at CERN. Even though this concatenation scheme is simple, it reveals significant challenges that m... |
2211.02208 | Adrian Tam | Aaron Yagnik and Adrian S.-W. Tam | Automated Logging Drone: A Computer Vision Drone Implementation | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by-sa/4.0/ | In recent years, Artificial Intelligence (AI) and Computer Vision (CV) have
become the pinnacle of technology with new developments seemingly every day.
This technology along with more powerful drone technology have made autonomous
surveillance more sought after. Here an overview of the Automated Logging Drone
(ALD) ... | [
{
"created": "Fri, 4 Nov 2022 01:36:32 GMT",
"version": "v1"
}
] | 2022-11-07 | [
[
"Yagnik",
"Aaron",
""
],
[
"Tam",
"Adrian S. -W.",
""
]
] | In recent years, Artificial Intelligence (AI) and Computer Vision (CV) have become the pinnacle of technology with new developments seemingly every day. This technology along with more powerful drone technology have made autonomous surveillance more sought after. Here an overview of the Automated Logging Drone (ALD) pr... |
cs/0407027 | Atsushi Fujii | Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, Tetsuya Ishikawa | Unsupervised Topic Adaptation for Lecture Speech Retrieval | 4 pages, Proceedings of the 8th International Conference on Spoken
Language Processing (to appear) | Proceedings of the 8th International Conference on Spoken Language
Processing (ICSLP 2004), pp.2957-2960, Oct. 2004 | null | null | cs.CL | null | We are developing a cross-media information retrieval system, in which users
can view specific segments of lecture videos by submitting text queries. To
produce a text index, the audio track is extracted from a lecture video and a
transcription is generated by automatic speech recognition. In this paper, to
improve t... | [
{
"created": "Sat, 10 Jul 2004 11:45:57 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Fujii",
"Atsushi",
""
],
[
"Itou",
"Katunobu",
""
],
[
"Akiba",
"Tomoyosi",
""
],
[
"Ishikawa",
"Tetsuya",
""
]
] | We are developing a cross-media information retrieval system, in which users can view specific segments of lecture videos by submitting text queries. To produce a text index, the audio track is extracted from a lecture video and a transcription is generated by automatic speech recognition. In this paper, to improve the... |
1710.08015 | Chenwei Zhang | Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu | Bringing Semantic Structures to User Intent Detection in Online Medical
Queries | 10 pages, 2017 IEEE International Conference on Big Data (Big Data
2017) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet has revolutionized healthcare by offering medical information
ubiquitously to patients via web search. The healthcare status, complex medical
information needs of patients are expressed diversely and implicitly in their
medical text queries. Aiming to better capture a focused picture of user's
medical-re... | [
{
"created": "Sun, 22 Oct 2017 21:03:28 GMT",
"version": "v1"
}
] | 2017-10-24 | [
[
"Zhang",
"Chenwei",
""
],
[
"Du",
"Nan",
""
],
[
"Fan",
"Wei",
""
],
[
"Li",
"Yaliang",
""
],
[
"Lu",
"Chun-Ta",
""
],
[
"Yu",
"Philip S.",
""
]
] | The Internet has revolutionized healthcare by offering medical information ubiquitously to patients via web search. The healthcare status, complex medical information needs of patients are expressed diversely and implicitly in their medical text queries. Aiming to better capture a focused picture of user's medical-rela... |
2204.05039 | Shrestha Ghosh | Shrestha Ghosh, Simon Razniewski, Gerhard Weikum | Answering Count Queries with Explanatory Evidence | Version published at SIGIR 2022 | null | 10.1145/3477495.3531870 | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | A challenging case in web search and question answering are count queries,
such as \textit{"number of songs by John Lennon"}. Prior methods merely answer
these with a single, and sometimes puzzling number or return a ranked list of
text snippets with different numbers. This paper proposes a methodology for
answering ... | [
{
"created": "Mon, 11 Apr 2022 12:20:13 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Aug 2022 09:46:27 GMT",
"version": "v2"
}
] | 2022-08-31 | [
[
"Ghosh",
"Shrestha",
""
],
[
"Razniewski",
"Simon",
""
],
[
"Weikum",
"Gerhard",
""
]
] | A challenging case in web search and question answering are count queries, such as \textit{"number of songs by John Lennon"}. Prior methods merely answer these with a single, and sometimes puzzling number or return a ranked list of text snippets with different numbers. This paper proposes a methodology for answering co... |
1108.5472 | Shan Zhou | Shan Zhou, Xinzhou Wu, Lei Ying | Distributed Power Control and Coding-Modulation Adaptation in Wireless
Networks using Annealed Gibbs Sampling | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In wireless networks, the transmission rate of a link is determined by
received signal strength, interference from simultaneous transmissions, and
available coding-modulation schemes. Rate allocation is a key problem in
wireless network design, but a very challenging problem because: (i) wireless
interference is glob... | [
{
"created": "Sat, 27 Aug 2011 20:17:52 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Oct 2012 03:52:04 GMT",
"version": "v2"
}
] | 2012-10-24 | [
[
"Zhou",
"Shan",
""
],
[
"Wu",
"Xinzhou",
""
],
[
"Ying",
"Lei",
""
]
] | In wireless networks, the transmission rate of a link is determined by received signal strength, interference from simultaneous transmissions, and available coding-modulation schemes. Rate allocation is a key problem in wireless network design, but a very challenging problem because: (i) wireless interference is global... |
1810.01719 | Orfeas Stefanos Thyfronitis Litos | Aggelos Kiayias and Benjamin Livshits and Andr\'es Monteoliva Mosteiro
and Orfeas Stefanos Thyfronitis Litos | A Puff of Steem: Security Analysis of Decentralized Content Curation | 15 pages main text, 35 pages in total, 6 figures, 6 algorithms.
Contains mathematical analysis and computer simulation | null | null | null | cs.MA | http://creativecommons.org/licenses/by-sa/4.0/ | Decentralized content curation is the process through which uploaded posts
are ranked and filtered based exclusively on users' feedback. Platforms such as
the blockchain-based Steemit employ this type of curation while providing
monetary incentives to promote the visibility of high quality posts according
to the perc... | [
{
"created": "Wed, 3 Oct 2018 12:50:38 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Jan 2019 16:59:06 GMT",
"version": "v2"
}
] | 2019-01-03 | [
[
"Kiayias",
"Aggelos",
""
],
[
"Livshits",
"Benjamin",
""
],
[
"Mosteiro",
"Andrés Monteoliva",
""
],
[
"Litos",
"Orfeas Stefanos Thyfronitis",
""
]
] | Decentralized content curation is the process through which uploaded posts are ranked and filtered based exclusively on users' feedback. Platforms such as the blockchain-based Steemit employ this type of curation while providing monetary incentives to promote the visibility of high quality posts according to the percep... |
2003.06706 | Rickard Br\"uel Gabrielsson | Rickard Br\"uel-Gabrielsson | Universal Function Approximation on Graphs | null | null | null | null | cs.DS cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we produce a framework for constructing universal function
approximators on graph isomorphism classes. We prove how this framework comes
with a collection of theoretically desirable properties and enables novel
analysis. We show how this allows us to achieve state-of-the-art performance on
four different... | [
{
"created": "Sat, 14 Mar 2020 21:12:33 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Sep 2020 09:06:02 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Oct 2020 07:58:11 GMT",
"version": "v3"
}
] | 2020-10-27 | [
[
"Brüel-Gabrielsson",
"Rickard",
""
]
] | In this work we produce a framework for constructing universal function approximators on graph isomorphism classes. We prove how this framework comes with a collection of theoretically desirable properties and enables novel analysis. We show how this allows us to achieve state-of-the-art performance on four different w... |
2407.13368 | Gertjan Burghouts | Gertjan Burghouts, Marianne Schaaphok, Michael van Bekkum, Wouter
Meijer, Fieke Hillerstr\"om, Jelle van Mil | Affordance Perception by a Knowledge-Guided Vision-Language Model with
Efficient Error Correction | 15 pages | International Conference on Pattern Recognition and Artificial
Intelligence (ICPRAI) 2024 | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Mobile robot platforms will increasingly be tasked with activities that
involve grasping and manipulating objects in open world environments.
Affordance understanding provides a robot with means to realise its goals and
execute its tasks, e.g. to achieve autonomous navigation in unknown buildings
where it has to find... | [
{
"created": "Thu, 18 Jul 2024 10:24:22 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Burghouts",
"Gertjan",
""
],
[
"Schaaphok",
"Marianne",
""
],
[
"van Bekkum",
"Michael",
""
],
[
"Meijer",
"Wouter",
""
],
[
"Hillerström",
"Fieke",
""
],
[
"van Mil",
"Jelle",
""
]
] | Mobile robot platforms will increasingly be tasked with activities that involve grasping and manipulating objects in open world environments. Affordance understanding provides a robot with means to realise its goals and execute its tasks, e.g. to achieve autonomous navigation in unknown buildings where it has to find d... |
2408.07434 | Christopher Herneth | Christopher Herneth, Junnan Li, Muhammad Hilman Fatoni, Amartya
Ganguly, and Sami Haddadin | Object Augmentation Algorithm: Computing virtual object motion and
object induced interaction wrench from optical markers | An open source implementation of the described algorithm is available
at
https://github.com/ChristopherHerneth/ObjectAugmentationAlgorithm/tree/main.
Accompanying video material may be found here https://youtu.be/8oz-awvyNRA.
The article was accepted at IROS 2024 | null | null | null | cs.RO | http://creativecommons.org/licenses/by-sa/4.0/ | This study addresses the critical need for diverse and comprehensive data
focused on human arm joint torques while performing activities of daily living
(ADL). Previous studies have often overlooked the influence of objects on joint
torques during ADL, resulting in limited datasets for analysis. To address this
gap, ... | [
{
"created": "Wed, 14 Aug 2024 10:09:00 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Herneth",
"Christopher",
""
],
[
"Li",
"Junnan",
""
],
[
"Fatoni",
"Muhammad Hilman",
""
],
[
"Ganguly",
"Amartya",
""
],
[
"Haddadin",
"Sami",
""
]
] | This study addresses the critical need for diverse and comprehensive data focused on human arm joint torques while performing activities of daily living (ADL). Previous studies have often overlooked the influence of objects on joint torques during ADL, resulting in limited datasets for analysis. To address this gap, we... |
1104.4680 | Prasad Raghavendra | Boaz Barak, Prasad Raghavendra, David Steurer | Rounding Semidefinite Programming Hierarchies via Global Correlation | 30 pages | null | null | null | cs.DS cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show a new way to round vector solutions of semidefinite programming (SDP)
hierarchies into integral solutions, based on a connection between these
hierarchies and the spectrum of the input graph. We demonstrate the utility of
our method by providing a new SDP-hierarchy based algorithm for constraint
satisfaction ... | [
{
"created": "Mon, 25 Apr 2011 04:58:50 GMT",
"version": "v1"
}
] | 2011-04-26 | [
[
"Barak",
"Boaz",
""
],
[
"Raghavendra",
"Prasad",
""
],
[
"Steurer",
"David",
""
]
] | We show a new way to round vector solutions of semidefinite programming (SDP) hierarchies into integral solutions, based on a connection between these hierarchies and the spectrum of the input graph. We demonstrate the utility of our method by providing a new SDP-hierarchy based algorithm for constraint satisfaction pr... |
2205.02125 | Yongsheng Bai | Yongsheng Bai, Bing Zha, Halil Sezen and Alper Yilmaz | Engineering deep learning methods on automatic detection of damage in
infrastructure due to extreme events | Thanks for the revivers' help for improving this paper. Structural
Health Monitoring (2022) | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | This paper presents a few comprehensive experimental studies for automated
Structural Damage Detection (SDD) in extreme events using deep learning methods
for processing 2D images. In the first study, a 152-layer Residual network
(ResNet) is utilized to classify multiple classes in eight SDD tasks, which
include iden... | [
{
"created": "Sun, 1 May 2022 19:55:56 GMT",
"version": "v1"
}
] | 2022-05-05 | [
[
"Bai",
"Yongsheng",
""
],
[
"Zha",
"Bing",
""
],
[
"Sezen",
"Halil",
""
],
[
"Yilmaz",
"Alper",
""
]
] | This paper presents a few comprehensive experimental studies for automated Structural Damage Detection (SDD) in extreme events using deep learning methods for processing 2D images. In the first study, a 152-layer Residual network (ResNet) is utilized to classify multiple classes in eight SDD tasks, which include identi... |
2310.04426 | Jamal El-Ouahi | Jamal El-Ouahi | Research Funding in the Middle East and North Africa: Analyses of
Acknowledgments in Scientific Publications indexed in the Web of Science
(2008-2021) | 34 pages, 7 figures, 8 tables | null | 10.1007/s11192-024-04983-8 | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | Funding acknowledgments are important objects of study in the context of
science funding. This study uses a mixed-methods approach to analyze the
funding acknowledgments found in 2.3 million scientific publications published
between 2008 and 2021 by authors affiliated with research institutions located
in the Middle ... | [
{
"created": "Mon, 18 Sep 2023 07:29:52 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jan 2024 07:11:58 GMT",
"version": "v2"
},
{
"created": "Thu, 16 May 2024 04:45:06 GMT",
"version": "v3"
}
] | 2024-05-17 | [
[
"El-Ouahi",
"Jamal",
""
]
] | Funding acknowledgments are important objects of study in the context of science funding. This study uses a mixed-methods approach to analyze the funding acknowledgments found in 2.3 million scientific publications published between 2008 and 2021 by authors affiliated with research institutions located in the Middle Ea... |
1406.5597 | Anando Chatterjee | A. G. Chatterjee, M. K. Verma, and M. Chaudhuri | Transpose-free Fast Fourier Transform for Turbulence Simulation | null | null | null | null | cs.MS cs.CE cs.DS physics.comp-ph physics.flu-dyn | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pseudo-spectral method is one of the most accurate techniques for simulating
turbulent flows. Fast Fourier transform (FFT) is an integral part of this
method. In this paper, we present a new procedure to compute FFT in which we
save operations during interprocess communications by avoiding transpose of the
array. As ... | [
{
"created": "Sat, 21 Jun 2014 11:19:59 GMT",
"version": "v1"
}
] | 2014-06-24 | [
[
"Chatterjee",
"A. G.",
""
],
[
"Verma",
"M. K.",
""
],
[
"Chaudhuri",
"M.",
""
]
] | Pseudo-spectral method is one of the most accurate techniques for simulating turbulent flows. Fast Fourier transform (FFT) is an integral part of this method. In this paper, we present a new procedure to compute FFT in which we save operations during interprocess communications by avoiding transpose of the array. As a ... |
1103.5254 | Kevin Waugh | Kevin Waugh and Brian D. Ziebart and J. Andrew Bagnell | Computational Rationalization: The Inverse Equilibrium Problem | 8 pages, 4 page appendix, ICML 2011 | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modeling the purposeful behavior of imperfect agents from a small number of
observations is a challenging task. When restricted to the single-agent
decision-theoretic setting, inverse optimal control techniques assume that
observed behavior is an approximately optimal solution to an unknown decision
problem. These te... | [
{
"created": "Sun, 27 Mar 2011 22:13:15 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Mar 2011 19:13:06 GMT",
"version": "v2"
},
{
"created": "Fri, 6 May 2011 20:41:14 GMT",
"version": "v3"
}
] | 2015-03-19 | [
[
"Waugh",
"Kevin",
""
],
[
"Ziebart",
"Brian D.",
""
],
[
"Bagnell",
"J. Andrew",
""
]
] | Modeling the purposeful behavior of imperfect agents from a small number of observations is a challenging task. When restricted to the single-agent decision-theoretic setting, inverse optimal control techniques assume that observed behavior is an approximately optimal solution to an unknown decision problem. These tech... |
1001.3734 | T.R. Gopalakrishnan Nair | Muthu Ramachandran, T.R. Gopalakrsihnan Nair, R. Selvarani | Software Components for Web Services | 6 pages, 4 figures | Journal of Research & Industry, Volume 1, Issue 1, pp 1-6, 2008 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Service-oriented computing has emerged as the new area to address software as
a service. This paper proposes a model for component based development for
service-oriented systems and have created best practice guidelines on software
component design.
| [
{
"created": "Thu, 21 Jan 2010 06:56:10 GMT",
"version": "v1"
}
] | 2016-09-08 | [
[
"Ramachandran",
"Muthu",
""
],
[
"Nair",
"T. R. Gopalakrsihnan",
""
],
[
"Selvarani",
"R.",
""
]
] | Service-oriented computing has emerged as the new area to address software as a service. This paper proposes a model for component based development for service-oriented systems and have created best practice guidelines on software component design. |
2111.14297 | Panjian Huang | Panjian Huang, Xu Liu and Yongzhen Huang | Data Augmentation For Medical MR Image Using Generative Adversarial
Networks | null | null | null | null | cs.CV cs.LG eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computer-assisted diagnosis (CAD) based on deep learning has become a crucial
diagnostic technology in the medical industry, effectively improving diagnosis
accuracy. However, the scarcity of brain tumor Magnetic Resonance (MR) image
datasets causes the low performance of deep learning algorithms. The
distribution of... | [
{
"created": "Mon, 29 Nov 2021 01:59:50 GMT",
"version": "v1"
}
] | 2021-11-30 | [
[
"Huang",
"Panjian",
""
],
[
"Liu",
"Xu",
""
],
[
"Huang",
"Yongzhen",
""
]
] | Computer-assisted diagnosis (CAD) based on deep learning has become a crucial diagnostic technology in the medical industry, effectively improving diagnosis accuracy. However, the scarcity of brain tumor Magnetic Resonance (MR) image datasets causes the low performance of deep learning algorithms. The distribution of t... |
2112.01155 | Junghun Oh | Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong and Kyoung Mu Lee | Batch Normalization Tells You Which Filter is Important | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of filter pruning is to search for unimportant filters to remove in
order to make convolutional neural networks (CNNs) efficient without
sacrificing the performance in the process. The challenge lies in finding
information that can help determine how important or relevant each filter is
with respect to the f... | [
{
"created": "Thu, 2 Dec 2021 12:04:59 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Apr 2022 09:22:50 GMT",
"version": "v2"
}
] | 2022-04-26 | [
[
"Oh",
"Junghun",
""
],
[
"Kim",
"Heewon",
""
],
[
"Baik",
"Sungyong",
""
],
[
"Hong",
"Cheeun",
""
],
[
"Lee",
"Kyoung Mu",
""
]
] | The goal of filter pruning is to search for unimportant filters to remove in order to make convolutional neural networks (CNNs) efficient without sacrificing the performance in the process. The challenge lies in finding information that can help determine how important or relevant each filter is with respect to the fin... |
2309.10505 | Muah Kim | Muah Kim, Rick Fritschek, and Rafael F. Schaefer | Diffusion Models for Accurate Channel Distribution Generation | 13 pages, 6 figures, preprint | null | null | null | cs.IT cs.LG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Strong generative models can accurately learn channel distributions. This
could save recurring costs for physical measurements of the channel. Moreover,
the resulting differentiable channel model supports training neural encoders by
enabling gradient-based optimization. The initial approach in the literature
draws up... | [
{
"created": "Tue, 19 Sep 2023 10:35:54 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Sep 2023 14:45:03 GMT",
"version": "v2"
},
{
"created": "Fri, 7 Jun 2024 21:30:35 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Jun 2024 04:01:00 GMT",
"version": "v4"
}
] | 2024-06-12 | [
[
"Kim",
"Muah",
""
],
[
"Fritschek",
"Rick",
""
],
[
"Schaefer",
"Rafael F.",
""
]
] | Strong generative models can accurately learn channel distributions. This could save recurring costs for physical measurements of the channel. Moreover, the resulting differentiable channel model supports training neural encoders by enabling gradient-based optimization. The initial approach in the literature draws upon... |
2208.03084 | Federico Simonetta | Alessandro Maria Poir\`e, Federico Simonetta, Stavros Ntalampiras | Deep Feature Learning for Medical Acoustics | Published at ICANN 2022 | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The purpose of this paper is to compare different learnable frontends in
medical acoustics tasks. A framework has been implemented to classify human
respiratory sounds and heartbeats in two categories, i.e. healthy or affected
by pathologies. After obtaining two suitable datasets, we proceeded to classify
the sounds ... | [
{
"created": "Fri, 5 Aug 2022 10:39:37 GMT",
"version": "v1"
}
] | 2022-08-08 | [
[
"Poirè",
"Alessandro Maria",
""
],
[
"Simonetta",
"Federico",
""
],
[
"Ntalampiras",
"Stavros",
""
]
] | The purpose of this paper is to compare different learnable frontends in medical acoustics tasks. A framework has been implemented to classify human respiratory sounds and heartbeats in two categories, i.e. healthy or affected by pathologies. After obtaining two suitable datasets, we proceeded to classify the sounds us... |
2407.02877 | Zhiqiang Wei | Zhiqiang Wei and Dongfang Xu and Shuangyang Li and Shenghui Song and
Derrick Wing Kwan Ng and Giuseppe Caire | Resource Allocation Design for Next-Generation Multiple Access: A
Tutorial Overview | 69 pages, 10 figures, 5 tables | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | Multiple access is the cornerstone technology for each generation of wireless
cellular networks and resource allocation design plays a crucial role in
multiple access. In this paper, we present a comprehensive tutorial overview
for junior researchers in this field, aiming to offer a foundational guide for
resource al... | [
{
"created": "Wed, 3 Jul 2024 07:45:39 GMT",
"version": "v1"
}
] | 2024-07-04 | [
[
"Wei",
"Zhiqiang",
""
],
[
"Xu",
"Dongfang",
""
],
[
"Li",
"Shuangyang",
""
],
[
"Song",
"Shenghui",
""
],
[
"Ng",
"Derrick Wing Kwan",
""
],
[
"Caire",
"Giuseppe",
""
]
] | Multiple access is the cornerstone technology for each generation of wireless cellular networks and resource allocation design plays a crucial role in multiple access. In this paper, we present a comprehensive tutorial overview for junior researchers in this field, aiming to offer a foundational guide for resource allo... |
2202.13033 | Wei-Chang Yeh | WC Yeh, CL Huang, TY Hsu, Z Liu, SY Tan | A New BAT and PageRank algorithm for Propagation Probability in Social
Networks | null | null | null | null | cs.SI math.PR | http://creativecommons.org/publicdomain/zero/1.0/ | Social networks have increasingly become important and popular in modern
times. Moreover, the influence of social networks plays a vital role in various
organizations including government organizations, academic research or
corporate organizations. Therefore, how to strategize the optimal propagation
strategy in soci... | [
{
"created": "Sat, 26 Feb 2022 01:27:09 GMT",
"version": "v1"
}
] | 2022-03-01 | [
[
"Yeh",
"WC",
""
],
[
"Huang",
"CL",
""
],
[
"Hsu",
"TY",
""
],
[
"Liu",
"Z",
""
],
[
"Tan",
"SY",
""
]
] | Social networks have increasingly become important and popular in modern times. Moreover, the influence of social networks plays a vital role in various organizations including government organizations, academic research or corporate organizations. Therefore, how to strategize the optimal propagation strategy in social... |
1107.0018 | A. Al-Ani | A. Al-Ani, M. Deriche | A New Technique for Combining Multiple Classifiers using The
Dempster-Shafer Theory of Evidence | null | Journal Of Artificial Intelligence Research, Volume 17, pages
333-361, 2002 | 10.1613/jair.1026 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new classifier combination technique based on the
Dempster-Shafer theory of evidence. The Dempster-Shafer theory of evidence is a
powerful method for combining measures of evidence from different classifiers.
However, since each of the available methods that estimates the evidence of
classifiers... | [
{
"created": "Thu, 30 Jun 2011 20:31:52 GMT",
"version": "v1"
}
] | 2011-07-04 | [
[
"Al-Ani",
"A.",
""
],
[
"Deriche",
"M.",
""
]
] | This paper presents a new classifier combination technique based on the Dempster-Shafer theory of evidence. The Dempster-Shafer theory of evidence is a powerful method for combining measures of evidence from different classifiers. However, since each of the available methods that estimates the evidence of classifiers h... |
2403.05168 | Hai Huang | Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming
Zhu, Zhenhua Dong, Zhou Zhao | Unlocking the Potential of Multimodal Unified Discrete Representation
through Training-Free Codebook Optimization and Hierarchical Alignment | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in representation learning have demonstrated the significance
of multimodal alignment. The Dual Cross-modal Information Disentanglement
(DCID) model, utilizing a unified codebook, shows promising results in
achieving fine-grained representation and cross-modal generalization. However,
it is still hind... | [
{
"created": "Fri, 8 Mar 2024 09:16:47 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Huang",
"Hai",
""
],
[
"Xia",
"Yan",
""
],
[
"Ji",
"Shengpeng",
""
],
[
"Wang",
"Shulei",
""
],
[
"Wang",
"Hanting",
""
],
[
"Zhu",
"Jieming",
""
],
[
"Dong",
"Zhenhua",
""
],
[
"Zhao",
"Zhou",... | Recent advances in representation learning have demonstrated the significance of multimodal alignment. The Dual Cross-modal Information Disentanglement (DCID) model, utilizing a unified codebook, shows promising results in achieving fine-grained representation and cross-modal generalization. However, it is still hinder... |
2005.00723 | Qiang Yu | Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay
Chen Tan | Towards Efficient Processing and Learning with Spikes: New Approaches
for Multi-Spike Learning | 13 pages | null | 10.1109/TCYB.2020.2984888 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spikes are the currency in central nervous systems for information
transmission and processing. They are also believed to play an essential role
in low-power consumption of the biological systems, whose efficiency attracts
increasing attentions to the field of neuromorphic computing. However,
efficient processing and... | [
{
"created": "Sat, 2 May 2020 06:41:20 GMT",
"version": "v1"
}
] | 2020-05-05 | [
[
"Yu",
"Qiang",
""
],
[
"Li",
"Shenglan",
""
],
[
"Tang",
"Huajin",
""
],
[
"Wang",
"Longbiao",
""
],
[
"Dang",
"Jianwu",
""
],
[
"Tan",
"Kay Chen",
""
]
] | Spikes are the currency in central nervous systems for information transmission and processing. They are also believed to play an essential role in low-power consumption of the biological systems, whose efficiency attracts increasing attentions to the field of neuromorphic computing. However, efficient processing and l... |
1403.4722 | Abhik Banerjee | Abhik Banerjee, Abhirup Ghosh, Koustuvmoni Bharadwaj, Hemanta Saikia | Mouse Control using a Web Camera based on Colour Detection | 10 pages, 6 figures, 1 flowchart, "Published with International
Journal of Computer Trends and Technology (IJCTT)" | International Journal of Computer Trends and Technology (IJCTT)
V9(1):15-20,March 2014.ISSN:2231-2803 Published by Seventh Sense Research
Group | 10.14445/22312803/IJCTT-V9P104 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present an approach for Human computer Interaction (HCI),
where we have tried to control the mouse cursor movement and click events of
the mouse using hand gestures. Hand gestures were acquired using a camera based
on colour detection technique. This method mainly focuses on the use of a Web
Camera t... | [
{
"created": "Wed, 19 Mar 2014 07:40:55 GMT",
"version": "v1"
}
] | 2014-03-20 | [
[
"Banerjee",
"Abhik",
""
],
[
"Ghosh",
"Abhirup",
""
],
[
"Bharadwaj",
"Koustuvmoni",
""
],
[
"Saikia",
"Hemanta",
""
]
] | In this paper we present an approach for Human computer Interaction (HCI), where we have tried to control the mouse cursor movement and click events of the mouse using hand gestures. Hand gestures were acquired using a camera based on colour detection technique. This method mainly focuses on the use of a Web Camera to ... |
2408.01916 | Yumeng Jin | Leilei Lin, Yumeng Jin, Yingming Zhou, Wenlong Chen, Chen Qian | MAO: A Framework for Process Model Generation with Multi-Agent
Orchestration | null | null | null | null | cs.AI cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Process models are frequently used in software engineering to describe
business requirements, guide software testing and control system improvement.
However, traditional process modeling methods often require the participation
of numerous experts, which is expensive and time-consuming. Therefore, the
exploration of a... | [
{
"created": "Sun, 4 Aug 2024 03:32:17 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Aug 2024 10:37:38 GMT",
"version": "v2"
}
] | 2024-08-08 | [
[
"Lin",
"Leilei",
""
],
[
"Jin",
"Yumeng",
""
],
[
"Zhou",
"Yingming",
""
],
[
"Chen",
"Wenlong",
""
],
[
"Qian",
"Chen",
""
]
] | Process models are frequently used in software engineering to describe business requirements, guide software testing and control system improvement. However, traditional process modeling methods often require the participation of numerous experts, which is expensive and time-consuming. Therefore, the exploration of a m... |
2310.02964 | Zihan Liu | Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li | Co-modeling the Sequential and Graphical Routes for Peptide
Representation Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Peptides are formed by the dehydration condensation of multiple amino acids.
The primary structure of a peptide can be represented either as an amino acid
sequence or as a molecular graph consisting of atoms and chemical bonds.
Previous studies have indicated that deep learning routes specific to
sequential and graph... | [
{
"created": "Wed, 4 Oct 2023 16:58:25 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Oct 2023 12:42:25 GMT",
"version": "v2"
}
] | 2023-10-06 | [
[
"Liu",
"Zihan",
""
],
[
"Wang",
"Ge",
""
],
[
"Wang",
"Jiaqi",
""
],
[
"Zheng",
"Jiangbin",
""
],
[
"Li",
"Stan Z.",
""
]
] | Peptides are formed by the dehydration condensation of multiple amino acids. The primary structure of a peptide can be represented either as an amino acid sequence or as a molecular graph consisting of atoms and chemical bonds. Previous studies have indicated that deep learning routes specific to sequential and graphic... |
1505.00752 | Asbj{\o}rn Br{\ae}ndeland | Asbj{\o}rn Br{\ae}ndeland | A family of greedy algorithms for finding maximum independent sets | 4 pages | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The greedy algorithm A iterates over a set of uniformly sized independent
sets of a given graph G and checks for each set S which non-neighbor of S, if
any, is best suited to be added to S, until no more suitable non-neighbors are
found for any of the sets. The algorithms receives as arguments the graph, the
heuristi... | [
{
"created": "Mon, 4 May 2015 18:56:55 GMT",
"version": "v1"
}
] | 2015-05-05 | [
[
"Brændeland",
"Asbjørn",
""
]
] | The greedy algorithm A iterates over a set of uniformly sized independent sets of a given graph G and checks for each set S which non-neighbor of S, if any, is best suited to be added to S, until no more suitable non-neighbors are found for any of the sets. The algorithms receives as arguments the graph, the heuristic ... |
2307.02729 | Yuheng Zha | Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu | Text Alignment Is An Efficient Unified Model for Massive NLP Tasks | NeurIPS 2023 Camera Ready, Code available at
https://github.com/yuh-zha/Align | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs), typically designed as a function of next-word
prediction, have excelled across extensive NLP tasks. Despite the generality,
next-word prediction is often not an efficient formulation for many of the
tasks, demanding an extreme scale of model parameters (10s or 100s of billions)
and somet... | [
{
"created": "Thu, 6 Jul 2023 02:28:31 GMT",
"version": "v1"
},
{
"created": "Thu, 2 Nov 2023 03:49:19 GMT",
"version": "v2"
}
] | 2023-11-03 | [
[
"Zha",
"Yuheng",
""
],
[
"Yang",
"Yichi",
""
],
[
"Li",
"Ruichen",
""
],
[
"Hu",
"Zhiting",
""
]
] | Large language models (LLMs), typically designed as a function of next-word prediction, have excelled across extensive NLP tasks. Despite the generality, next-word prediction is often not an efficient formulation for many of the tasks, demanding an extreme scale of model parameters (10s or 100s of billions) and sometim... |
2011.01624 | Andreas van Cranenburgh | Andreas van Cranenburgh, Corina Koolen | Results of a Single Blind Literary Taste Test with Short Anonymized
Novel Fragments | Accepted for LaTeCH 2020 @ COLING | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | It is an open question to what extent perceptions of literary quality are
derived from text-intrinsic versus social factors. While supervised models can
predict literary quality ratings from textual factors quite successfully, as
shown in the Riddle of Literary Quality project (Koolen et al., 2020), this
does not pro... | [
{
"created": "Tue, 3 Nov 2020 11:10:17 GMT",
"version": "v1"
}
] | 2020-11-04 | [
[
"van Cranenburgh",
"Andreas",
""
],
[
"Koolen",
"Corina",
""
]
] | It is an open question to what extent perceptions of literary quality are derived from text-intrinsic versus social factors. While supervised models can predict literary quality ratings from textual factors quite successfully, as shown in the Riddle of Literary Quality project (Koolen et al., 2020), this does not prove... |
1807.11456 | Stevan Tomic | Stevan Tomic, Federico Pecora, Alessandro Saffiotti | Norms, Institutions, and Robots | 12 pages, 8 figures. This work has been submitted to the IEEE for
possible publication. Copyright may be transferred without notice, after
which this version may no longer be accessible | null | null | null | cs.AI cs.CY cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Interactions within human societies are usually regulated by social norms. If
robots are to be accepted into human society, it is essential that they are
aware of and capable of reasoning about social norms. In this paper, we focus
on how to represent social norms in societies with humans and robots, and how
artifici... | [
{
"created": "Mon, 30 Jul 2018 17:27:06 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Aug 2020 12:43:40 GMT",
"version": "v2"
}
] | 2020-08-21 | [
[
"Tomic",
"Stevan",
""
],
[
"Pecora",
"Federico",
""
],
[
"Saffiotti",
"Alessandro",
""
]
] | Interactions within human societies are usually regulated by social norms. If robots are to be accepted into human society, it is essential that they are aware of and capable of reasoning about social norms. In this paper, we focus on how to represent social norms in societies with humans and robots, and how artificial... |
2201.03998 | Tarik Taleb Dr. | O. El Marai and T. Taleb | Smooth and Low Latency Video Streaming for Autonomous Cars during
Handover | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Self-driving vehicles are expected to bring many benefits among which
enhancing traffic efficiency and relia-bility, and reducing fuel consumption
which would have a great economical and environmental impact. The success of
this technology heavily relies on the full situational awareness of its
surrounding entities. ... | [
{
"created": "Wed, 5 Jan 2022 09:04:24 GMT",
"version": "v1"
}
] | 2022-01-12 | [
[
"Marai",
"O. El",
""
],
[
"Taleb",
"T.",
""
]
] | Self-driving vehicles are expected to bring many benefits among which enhancing traffic efficiency and relia-bility, and reducing fuel consumption which would have a great economical and environmental impact. The success of this technology heavily relies on the full situational awareness of its surrounding entities. Th... |
2202.03958 | Xiaotong Li | Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, Ling-Yu Duan | Uncertainty Modeling for Out-of-Distribution Generalization | Accepted by ICLR 2022 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though remarkable progress has been achieved in various vision tasks, deep
neural networks still suffer obvious performance degradation when tested in
out-of-distribution scenarios. We argue that the feature statistics (mean and
standard deviation), which carry the domain characteristics of the training
data, can be ... | [
{
"created": "Tue, 8 Feb 2022 16:09:12 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Apr 2022 03:10:41 GMT",
"version": "v2"
}
] | 2022-04-25 | [
[
"Li",
"Xiaotong",
""
],
[
"Dai",
"Yongxing",
""
],
[
"Ge",
"Yixiao",
""
],
[
"Liu",
"Jun",
""
],
[
"Shan",
"Ying",
""
],
[
"Duan",
"Ling-Yu",
""
]
] | Though remarkable progress has been achieved in various vision tasks, deep neural networks still suffer obvious performance degradation when tested in out-of-distribution scenarios. We argue that the feature statistics (mean and standard deviation), which carry the domain characteristics of the training data, can be pr... |
2108.13389 | Omkar Phadke | Omkar Phadke, Jayatika Sakhuja, Vivek Saraswat, Udayan Ganguly | Exploiting the Electrothermal Timescale in PrMnO3 RRAM for a compact,
clock-less neuron exhibiting biological spiking patterns | null | null | 10.1088/1361-6641/ac24e8 | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spiking Neural Networks (SNNs) are gaining widespread momentum in the field
of neuromorphic computing. These network systems integrated with neurons and
synapses provide computational efficiency by mimicking the human brain. It is
desired to incorporate the biological neuronal dynamics, including complex
spiking patt... | [
{
"created": "Mon, 30 Aug 2021 17:17:44 GMT",
"version": "v1"
}
] | 2021-10-27 | [
[
"Phadke",
"Omkar",
""
],
[
"Sakhuja",
"Jayatika",
""
],
[
"Saraswat",
"Vivek",
""
],
[
"Ganguly",
"Udayan",
""
]
] | Spiking Neural Networks (SNNs) are gaining widespread momentum in the field of neuromorphic computing. These network systems integrated with neurons and synapses provide computational efficiency by mimicking the human brain. It is desired to incorporate the biological neuronal dynamics, including complex spiking patter... |
1607.08692 | Rui Wang | Rui Wang, Hai Zhao, Sabine Ploux, Bao-Liang Lu, Masao Utiyama and
Eiichiro Sumita | A Novel Bilingual Word Embedding Method for Lexical Translation Using
Bilingual Sense Clique | under review by COLING-2016 | null | 10.1145/3203078 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of the existing methods for bilingual word embedding only consider
shallow context or simple co-occurrence information. In this paper, we propose
a latent bilingual sense unit (Bilingual Sense Clique, BSC), which is derived
from a maximum complete sub-graph of pointwise mutual information based graph
over biling... | [
{
"created": "Fri, 29 Jul 2016 06:28:32 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Aug 2016 06:58:04 GMT",
"version": "v2"
}
] | 2018-06-19 | [
[
"Wang",
"Rui",
""
],
[
"Zhao",
"Hai",
""
],
[
"Ploux",
"Sabine",
""
],
[
"Lu",
"Bao-Liang",
""
],
[
"Utiyama",
"Masao",
""
],
[
"Sumita",
"Eiichiro",
""
]
] | Most of the existing methods for bilingual word embedding only consider shallow context or simple co-occurrence information. In this paper, we propose a latent bilingual sense unit (Bilingual Sense Clique, BSC), which is derived from a maximum complete sub-graph of pointwise mutual information based graph over bilingua... |
2306.08888 | Srivatsan Krishnan | Srivatsan Krishnan, Amir Yazdanbaksh, Shvetank Prakash, Jason Jabbour,
Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins,
Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi | ArchGym: An Open-Source Gymnasium for Machine Learning Assisted
Architecture Design | International Symposium on Computer Architecture (ISCA 2023) | null | null | null | cs.AR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning is a prevalent approach to tame the complexity of design
space exploration for domain-specific architectures. Using ML for design space
exploration poses challenges. First, it's not straightforward to identify the
suitable algorithm from an increasing pool of ML methods. Second, assessing the
trade-o... | [
{
"created": "Thu, 15 Jun 2023 06:41:23 GMT",
"version": "v1"
}
] | 2023-06-16 | [
[
"Krishnan",
"Srivatsan",
""
],
[
"Yazdanbaksh",
"Amir",
""
],
[
"Prakash",
"Shvetank",
""
],
[
"Jabbour",
"Jason",
""
],
[
"Uchendu",
"Ikechukwu",
""
],
[
"Ghosh",
"Susobhan",
""
],
[
"Boroujerdian",
"Behzad",
... | Machine learning is a prevalent approach to tame the complexity of design space exploration for domain-specific architectures. Using ML for design space exploration poses challenges. First, it's not straightforward to identify the suitable algorithm from an increasing pool of ML methods. Second, assessing the trade-off... |
2406.04745 | Chao Qian | Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian | Confidence-aware Contrastive Learning for Selective Classification | Accepted by ICML 2024 | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Selective classification enables models to make predictions only when they
are sufficiently confident, aiming to enhance safety and reliability, which is
important in high-stakes scenarios. Previous methods mainly use deep neural
networks and focus on modifying the architecture of classification layers to
enable the ... | [
{
"created": "Fri, 7 Jun 2024 08:43:53 GMT",
"version": "v1"
}
] | 2024-06-10 | [
[
"Wu",
"Yu-Chang",
""
],
[
"Lyu",
"Shen-Huan",
""
],
[
"Shang",
"Haopu",
""
],
[
"Wang",
"Xiangyu",
""
],
[
"Qian",
"Chao",
""
]
] | Selective classification enables models to make predictions only when they are sufficiently confident, aiming to enhance safety and reliability, which is important in high-stakes scenarios. Previous methods mainly use deep neural networks and focus on modifying the architecture of classification layers to enable the mo... |
2010.06216 | Koar Marntirosian | Koar Marntirosian, Tom Schrijvers, Bruno C. d. S. Oliveira, Georgios
Karachalias | Resolution as Intersection Subtyping via Modus Ponens | 43 pages, 20 figures; typos corrected, link to artifact added | null | 10.1145/3428274 | null | cs.PL cs.LO | http://creativecommons.org/licenses/by/4.0/ | Resolution and subtyping are two common mechanisms in programming languages.
Resolution is used by features such as type classes or Scala-style implicits to
synthesize values automatically from contextual type information. Subtyping is
commonly used to automatically convert the type of a value into another
compatible... | [
{
"created": "Tue, 13 Oct 2020 07:58:17 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Oct 2020 09:32:19 GMT",
"version": "v2"
}
] | 2020-10-19 | [
[
"Marntirosian",
"Koar",
""
],
[
"Schrijvers",
"Tom",
""
],
[
"Oliveira",
"Bruno C. d. S.",
""
],
[
"Karachalias",
"Georgios",
""
]
] | Resolution and subtyping are two common mechanisms in programming languages. Resolution is used by features such as type classes or Scala-style implicits to synthesize values automatically from contextual type information. Subtyping is commonly used to automatically convert the type of a value into another compatible t... |
2303.08120 | Chenyang Lei | Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang, Qifeng Chen | Blind Video Deflickering by Neural Filtering with a Flawed Atlas | To appear in CVPR2023. Code:
github.com/ChenyangLEI/All-In-One-Deflicker Website:
chenyanglei.github.io/deflicker | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Many videos contain flickering artifacts. Common causes of flicker include
video processing algorithms, video generation algorithms, and capturing videos
under specific situations. Prior work usually requires specific guidance such
as the flickering frequency, manual annotations, or extra consistent videos to
remove ... | [
{
"created": "Tue, 14 Mar 2023 17:52:29 GMT",
"version": "v1"
}
] | 2023-03-15 | [
[
"Lei",
"Chenyang",
""
],
[
"Ren",
"Xuanchi",
""
],
[
"Zhang",
"Zhaoxiang",
""
],
[
"Chen",
"Qifeng",
""
]
] | Many videos contain flickering artifacts. Common causes of flicker include video processing algorithms, video generation algorithms, and capturing videos under specific situations. Prior work usually requires specific guidance such as the flickering frequency, manual annotations, or extra consistent videos to remove th... |
1102.2794 | Xinhua Wang | Xinhua Wang | Universal approximation using differentiators and application to
feedback control | null | null | null | null | cs.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider the problems of approximating uncertainties and
feedback control for a class of nonlinear systems without full-known states,
and two approximation methods are proposed: universal approximation using
integral-chain differentiator or extended observer. Comparing to the
approximations by fuzzy... | [
{
"created": "Mon, 14 Feb 2011 15:15:28 GMT",
"version": "v1"
}
] | 2011-02-15 | [
[
"Wang",
"Xinhua",
""
]
] | In this paper, we consider the problems of approximating uncertainties and feedback control for a class of nonlinear systems without full-known states, and two approximation methods are proposed: universal approximation using integral-chain differentiator or extended observer. Comparing to the approximations by fuzzy s... |
2112.04088 | Xiaoge Deng | Xiaoge Deng, Dongsheng Li, Tao Sun and Xicheng Lu | Communication-Efficient Distributed Learning via Sparse and Adaptive
Stochastic Gradient | Accepted by IEEE Transactions on Big Data, 2024 | null | 10.1109/TBDATA.2024.3407510 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gradient-based optimization methods implemented on distributed computing
architectures are increasingly used to tackle large-scale machine learning
applications. A key bottleneck in such distributed systems is the high
communication overhead for exchanging information, such as stochastic
gradients, between workers. T... | [
{
"created": "Wed, 8 Dec 2021 02:55:28 GMT",
"version": "v1"
},
{
"created": "Sun, 17 Apr 2022 03:47:42 GMT",
"version": "v2"
},
{
"created": "Mon, 29 Aug 2022 14:38:01 GMT",
"version": "v3"
},
{
"created": "Wed, 29 May 2024 09:18:28 GMT",
"version": "v4"
},
{
"cr... | 2024-06-11 | [
[
"Deng",
"Xiaoge",
""
],
[
"Li",
"Dongsheng",
""
],
[
"Sun",
"Tao",
""
],
[
"Lu",
"Xicheng",
""
]
] | Gradient-based optimization methods implemented on distributed computing architectures are increasingly used to tackle large-scale machine learning applications. A key bottleneck in such distributed systems is the high communication overhead for exchanging information, such as stochastic gradients, between workers. The... |
2305.17910 | Safinah Ali | Safinah Ali, Vishesh Kumar, Cynthia Breazeal | AI Audit: A Card Game to Reflect on Everyday AI Systems | null | null | null | null | cs.CY cs.AI cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | An essential element of K-12 AI literacy is educating learners about the
ethical and societal implications of AI systems. Previous work in AI ethics
literacy have developed curriculum and classroom activities that engage
learners in reflecting on the ethical implications of AI systems and developing
responsible AI. T... | [
{
"created": "Mon, 29 May 2023 06:41:47 GMT",
"version": "v1"
}
] | 2023-05-30 | [
[
"Ali",
"Safinah",
""
],
[
"Kumar",
"Vishesh",
""
],
[
"Breazeal",
"Cynthia",
""
]
] | An essential element of K-12 AI literacy is educating learners about the ethical and societal implications of AI systems. Previous work in AI ethics literacy have developed curriculum and classroom activities that engage learners in reflecting on the ethical implications of AI systems and developing responsible AI. The... |
1806.08554 | Bei Chen | Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu
Zhu, Yong Cao | Learning-to-Ask: Knowledge Acquisition via 20 Questions | Accepted by KDD 2018 | null | 10.1145/3219819.3220047 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Almost all the knowledge empowered applications rely upon accurate knowledge,
which has to be either collected manually with high cost, or extracted
automatically with unignorable errors. In this paper, we study 20 Questions, an
online interactive game where each question-response pair corresponds to a fact
of the ta... | [
{
"created": "Fri, 22 Jun 2018 08:48:49 GMT",
"version": "v1"
}
] | 2018-06-25 | [
[
"Chen",
"Yihong",
""
],
[
"Chen",
"Bei",
""
],
[
"Duan",
"Xuguang",
""
],
[
"Lou",
"Jian-Guang",
""
],
[
"Wang",
"Yue",
""
],
[
"Zhu",
"Wenwu",
""
],
[
"Cao",
"Yong",
""
]
] | Almost all the knowledge empowered applications rely upon accurate knowledge, which has to be either collected manually with high cost, or extracted automatically with unignorable errors. In this paper, we study 20 Questions, an online interactive game where each question-response pair corresponds to a fact of the targ... |
2307.15555 | Daniele Mari | Daniele Mari, Davide Salvi, Paolo Bestagini, and Simone Milani | All-for-One and One-For-All: Deep learning-based feature fusion for
Synthetic Speech Detection | Accepted at ECML-PKDD 2023 Workshop "Deep Learning and Multimedia
Forensics. Combating fake media and misinformation" | null | null | null | cs.SD cs.CL cs.CR eess.AS | http://creativecommons.org/licenses/by/4.0/ | Recent advances in deep learning and computer vision have made the synthesis
and counterfeiting of multimedia content more accessible than ever, leading to
possible threats and dangers from malicious users. In the audio field, we are
witnessing the growth of speech deepfake generation techniques, which solicit
the de... | [
{
"created": "Fri, 28 Jul 2023 13:50:25 GMT",
"version": "v1"
}
] | 2023-07-31 | [
[
"Mari",
"Daniele",
""
],
[
"Salvi",
"Davide",
""
],
[
"Bestagini",
"Paolo",
""
],
[
"Milani",
"Simone",
""
]
] | Recent advances in deep learning and computer vision have made the synthesis and counterfeiting of multimedia content more accessible than ever, leading to possible threats and dangers from malicious users. In the audio field, we are witnessing the growth of speech deepfake generation techniques, which solicit the deve... |
2307.04442 | Mohamed Amine Kerkouri | Aymen Sekhri, Marouane Tliba, Mohamed Amine Kerkouri, Yassine Nasser,
Aladine Chetouani, Alessandro Bruno, Rachid Jennane, | Automatic diagnosis of knee osteoarthritis severity using Swin
transformer | CBMI 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Knee osteoarthritis (KOA) is a widespread condition that can cause chronic
pain and stiffness in the knee joint. Early detection and diagnosis are crucial
for successful clinical intervention and management to prevent severe
complications, such as loss of mobility. In this paper, we propose an automated
approach that... | [
{
"created": "Mon, 10 Jul 2023 09:49:30 GMT",
"version": "v1"
}
] | 2023-07-11 | [
[
"Sekhri",
"Aymen",
""
],
[
"Tliba",
"Marouane",
""
],
[
"Kerkouri",
"Mohamed Amine",
""
],
[
"Nasser",
"Yassine",
""
],
[
"Chetouani",
"Aladine",
""
],
[
"Bruno",
"Alessandro",
""
],
[
"Jennane",
"Rachid",
... | Knee osteoarthritis (KOA) is a widespread condition that can cause chronic pain and stiffness in the knee joint. Early detection and diagnosis are crucial for successful clinical intervention and management to prevent severe complications, such as loss of mobility. In this paper, we propose an automated approach that e... |
1312.2867 | Chanabasayya Vastrad M | Doreswamy and Chanabasayya M. Vastrad | Study Of E-Smooth Support Vector Regression And Comparison With E-
Support Vector Regression And Potential Support Vector Machines For
Prediction For The Antitubercular Activity Of Oxazolines And Oxazoles
Derivatives | null | Published International Journal on Soft Computing, Artificial
Intelligence and Applications (IJSCAI), Vol.2, No.2, April 2013 | 10.5121/ijscai.2013.2204 | null | cs.CE cs.LO | http://creativecommons.org/licenses/by-nc-sa/3.0/ | A new smoothing method for solving ? -support vector regression (?-SVR),
tolerating a small error in fitting a given data sets nonlinearly is proposed
in this study. Which is a smooth unconstrained optimization reformulation of
the traditional linear programming associated with a ?-insensitive support
vector regressi... | [
{
"created": "Tue, 10 Dec 2013 16:44:56 GMT",
"version": "v1"
}
] | 2013-12-13 | [
[
"Doreswamy",
"",
""
],
[
"Vastrad",
"Chanabasayya M.",
""
]
] | A new smoothing method for solving ? -support vector regression (?-SVR), tolerating a small error in fitting a given data sets nonlinearly is proposed in this study. Which is a smooth unconstrained optimization reformulation of the traditional linear programming associated with a ?-insensitive support vector regression... |
2303.05228 | Luca Mariot | Luca Mariot and Luca Manzoni | A classification of S-boxes generated by Orthogonal Cellular Automata | 22 pages. Extended version of "On the Linear Components Space of
S-boxes Generated by Orthogonal Cellular Automata" arXiv:2203.14365v,
presented at ACRI 2022. Currently under submission at Natural Computing | null | null | null | cs.CR cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of the approaches published in the literature to construct S-boxes via
Cellular Automata (CA) work by either iterating a finite CA for several time
steps, or by a one-shot application of the global rule. The main characteristic
that brings together these works is that they employ a single CA rule to define
the v... | [
{
"created": "Thu, 9 Mar 2023 13:04:31 GMT",
"version": "v1"
}
] | 2023-03-10 | [
[
"Mariot",
"Luca",
""
],
[
"Manzoni",
"Luca",
""
]
] | Most of the approaches published in the literature to construct S-boxes via Cellular Automata (CA) work by either iterating a finite CA for several time steps, or by a one-shot application of the global rule. The main characteristic that brings together these works is that they employ a single CA rule to define the vec... |
1405.1112 | EPTCS | \'Etienne Andr\'e (Universit\'e Paris 13, France), Mohamed Mahdi
Benmoussa (Universit\'e Paris 13, France), Christine Choppy (Universit\'e
Paris 13, France) | Translating UML State Machines to Coloured Petri Nets Using Acceleo: A
Report | In Proceedings ESSS 2014, arXiv:1405.0554 | EPTCS 150, 2014, pp. 1-7 | 10.4204/EPTCS.150.1 | null | cs.SE cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | UML state machines are widely used to specify dynamic systems behaviours.
However its semantics is described informally, thus preventing the application
of model checking techniques that could guarantee the system safety. In a
former work, we proposed a formalisation of non-concurrent UML state machines
using coloure... | [
{
"created": "Tue, 6 May 2014 00:53:22 GMT",
"version": "v1"
}
] | 2014-05-07 | [
[
"André",
"Étienne",
"",
"Université Paris 13, France"
],
[
"Benmoussa",
"Mohamed Mahdi",
"",
"Université Paris 13, France"
],
[
"Choppy",
"Christine",
"",
"Université\n Paris 13, France"
]
] | UML state machines are widely used to specify dynamic systems behaviours. However its semantics is described informally, thus preventing the application of model checking techniques that could guarantee the system safety. In a former work, we proposed a formalisation of non-concurrent UML state machines using coloured ... |
2009.02694 | Marco Di Renzo | Gabriele Gradoni and Marco Di Renzo | End-to-End Mutual Coupling Aware Communication Model for Reconfigurable
Intelligent Surfaces: An Electromagnetic-Compliant Approach Based on Mutual
Impedances | Submitted for journal publication | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reconfigurable intelligent surfaces (RISs) are an emerging technology for
application to wireless networks. We introduce a physics and electromagnetic
(EM) compliant communication model for analyzing and optimizing RIS-assisted
wireless systems. The proposed model has four main notable attributes: (i) it
is end-to-en... | [
{
"created": "Sun, 6 Sep 2020 10:01:48 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Dec 2020 09:48:16 GMT",
"version": "v2"
}
] | 2020-12-08 | [
[
"Gradoni",
"Gabriele",
""
],
[
"Di Renzo",
"Marco",
""
]
] | Reconfigurable intelligent surfaces (RISs) are an emerging technology for application to wireless networks. We introduce a physics and electromagnetic (EM) compliant communication model for analyzing and optimizing RIS-assisted wireless systems. The proposed model has four main notable attributes: (i) it is end-to-end,... |
1806.09817 | Tim Roughgarden | Tim Roughgarden | Beyond Worst-Case Analysis | To appear in Communications of the ACM | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the worst-case analysis of algorithms, the overall performance of an
algorithm is summarized by its worst performance on any input. This approach
has countless success stories, but there are also important computational
problems --- like linear programming, clustering, online caching, and neural
network training -... | [
{
"created": "Tue, 26 Jun 2018 07:15:56 GMT",
"version": "v1"
}
] | 2018-06-27 | [
[
"Roughgarden",
"Tim",
""
]
] | In the worst-case analysis of algorithms, the overall performance of an algorithm is summarized by its worst performance on any input. This approach has countless success stories, but there are also important computational problems --- like linear programming, clustering, online caching, and neural network training ---... |
1212.3747 | Su Hu | Su Hu and Yong Liang Guan and Guoan Bi and Shaoqian Li | Cluster-based Transform Domain Communication Systems for High Spectrum
Efficiency | 15 pages, 9 figures, Accepted for publication in IET Communications | null | null | null | cs.NI cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a cluster-based transform domain communication system
(TDCS) to improve spectrum efficiency. Unlike the utilities of clusters in
orthogonal frequency division multiplex (OFDM) systems, the cluster-based TDCS
framework divides entire unoccupied spectrum bins into $L$ clusters, where each
one repres... | [
{
"created": "Sun, 16 Dec 2012 03:25:05 GMT",
"version": "v1"
}
] | 2012-12-18 | [
[
"Hu",
"Su",
""
],
[
"Guan",
"Yong Liang",
""
],
[
"Bi",
"Guoan",
""
],
[
"Li",
"Shaoqian",
""
]
] | This paper presents a cluster-based transform domain communication system (TDCS) to improve spectrum efficiency. Unlike the utilities of clusters in orthogonal frequency division multiplex (OFDM) systems, the cluster-based TDCS framework divides entire unoccupied spectrum bins into $L$ clusters, where each one represen... |
2308.09985 | Hanzhuo Tan | Hanzhuo Tan, Chunpu Xu, Jing Li, Yuqun Zhang, Zeyang Fang, Zeyu Chen,
Baohua Lai | HICL: Hashtag-Driven In-Context Learning for Social Media Natural
Language Understanding | https://github.com/albertan017/HICL | 10.1109/TNNLS.2024.3384987 | 10.1109/TNNLS.2024.3384987 | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Natural language understanding (NLU) is integral to various social media
applications. However, existing NLU models rely heavily on context for semantic
learning, resulting in compromised performance when faced with short and noisy
social media content. To address this issue, we leverage in-context learning
(ICL), wh... | [
{
"created": "Sat, 19 Aug 2023 11:31:45 GMT",
"version": "v1"
}
] | 2024-04-17 | [
[
"Tan",
"Hanzhuo",
""
],
[
"Xu",
"Chunpu",
""
],
[
"Li",
"Jing",
""
],
[
"Zhang",
"Yuqun",
""
],
[
"Fang",
"Zeyang",
""
],
[
"Chen",
"Zeyu",
""
],
[
"Lai",
"Baohua",
""
]
] | Natural language understanding (NLU) is integral to various social media applications. However, existing NLU models rely heavily on context for semantic learning, resulting in compromised performance when faced with short and noisy social media content. To address this issue, we leverage in-context learning (ICL), wher... |
2309.06527 | Alexey Zaytsev | Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev | Machine Translation Models Stand Strong in the Face of Adversarial
Attacks | null | AIST-2023 | null | null | cs.CL cs.CR cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Adversarial attacks expose vulnerabilities of deep learning models by
introducing minor perturbations to the input, which lead to substantial
alterations in the output. Our research focuses on the impact of such
adversarial attacks on sequence-to-sequence (seq2seq) models, specifically
machine translation models. We ... | [
{
"created": "Sun, 10 Sep 2023 11:22:59 GMT",
"version": "v1"
}
] | 2023-09-14 | [
[
"Burnyshev",
"Pavel",
""
],
[
"Kostenok",
"Elizaveta",
""
],
[
"Zaytsev",
"Alexey",
""
]
] | Adversarial attacks expose vulnerabilities of deep learning models by introducing minor perturbations to the input, which lead to substantial alterations in the output. Our research focuses on the impact of such adversarial attacks on sequence-to-sequence (seq2seq) models, specifically machine translation models. We in... |
2311.15562 | Chongyan Chen | Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna
Gurari | Fully Authentic Visual Question Answering Dataset from Online
Communities | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Visual Question Answering (VQA) entails answering questions about images. We
introduce the first VQA dataset in which all contents originate from an
authentic use case. Sourced from online question answering community forums, we
call it VQAonline. We characterize this dataset and how it relates to eight
mainstream VQ... | [
{
"created": "Mon, 27 Nov 2023 06:19:00 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 14:18:39 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Mar 2024 03:50:36 GMT",
"version": "v3"
},
{
"created": "Wed, 17 Jul 2024 07:28:19 GMT",
"version": "v4"
}
] | 2024-07-18 | [
[
"Chen",
"Chongyan",
""
],
[
"Liu",
"Mengchen",
""
],
[
"Codella",
"Noel",
""
],
[
"Li",
"Yunsheng",
""
],
[
"Yuan",
"Lu",
""
],
[
"Gurari",
"Danna",
""
]
] | Visual Question Answering (VQA) entails answering questions about images. We introduce the first VQA dataset in which all contents originate from an authentic use case. Sourced from online question answering community forums, we call it VQAonline. We characterize this dataset and how it relates to eight mainstream VQA ... |
1209.4532 | Sachin Lakra | T.V. Prasad, Sachin Lakra, G. Ramakrishna | Applicability of Crisp and Fuzzy Logic in Intelligent Response
Generation | 4 pages, 1 table | Published in proceedings of National Conference on Information,
Computational Technologies and e-Governance 2010, Alwar, Rajasthan, India,
19-20 November, 2010, pp. 137-139 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper discusses the merits and demerits of crisp logic and fuzzy logic
with respect to their applicability in intelligent response generation by a
human being and by a robot. Intelligent systems must have the capability of
taking decisions that are wise and handle situations intelligently. A direct
relationship ... | [
{
"created": "Thu, 20 Sep 2012 14:00:06 GMT",
"version": "v1"
}
] | 2012-09-21 | [
[
"Prasad",
"T. V.",
""
],
[
"Lakra",
"Sachin",
""
],
[
"Ramakrishna",
"G.",
""
]
] | This paper discusses the merits and demerits of crisp logic and fuzzy logic with respect to their applicability in intelligent response generation by a human being and by a robot. Intelligent systems must have the capability of taking decisions that are wise and handle situations intelligently. A direct relationship ex... |
2011.07355 | Jamie Hayes | Jamie Hayes, Krishnamurthy (Dj) Dvijotham, Yutian Chen, Sander
Dieleman, Pushmeet Kohli, Norman Casagrande | Towards transformation-resilient provenance detection of digital media | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advancements in deep generative models have made it possible to synthesize
images, videos and audio signals that are difficult to distinguish from natural
signals, creating opportunities for potential abuse of these capabilities. This
motivates the problem of tracking the provenance of signals, i.e., being able
to de... | [
{
"created": "Sat, 14 Nov 2020 18:08:07 GMT",
"version": "v1"
}
] | 2020-11-17 | [
[
"Hayes",
"Jamie",
"",
"Dj"
],
[
"Krishnamurthy",
"",
"",
"Dj"
],
[
"Dvijotham",
"",
""
],
[
"Chen",
"Yutian",
""
],
[
"Dieleman",
"Sander",
""
],
[
"Kohli",
"Pushmeet",
""
],
[
"Casagrande",
"Norman",
... | Advancements in deep generative models have made it possible to synthesize images, videos and audio signals that are difficult to distinguish from natural signals, creating opportunities for potential abuse of these capabilities. This motivates the problem of tracking the provenance of signals, i.e., being able to dete... |
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