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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1805.02508 | Md Meftahul Ferdaus | Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti,
Matthew A. Garratt | A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance
Hexacopter Altitude Control System | submitted in the 2018 IEEE International Conference on Systems, Man,
and Cybernetics (SMC2018) | null | null | null | cs.SY cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, the application of fully autonomous system like rotary wing
unmanned air vehicles (UAVs) is increasing sharply. Due to the complex
nonlinear dynamics, a huge research interest is witnessed in developing
learning machine based intelligent, self-organizing evolving controller for
these vehicles notably to add... | [
{
"created": "Fri, 4 May 2018 05:31:25 GMT",
"version": "v1"
}
] | 2018-05-08 | [
[
"Ferdaus",
"Md Meftahul",
""
],
[
"Pratama",
"Mahardhika",
""
],
[
"Anavatti",
"Sreenatha G.",
""
],
[
"Garratt",
"Matthew A.",
""
]
] | Nowadays, the application of fully autonomous system like rotary wing unmanned air vehicles (UAVs) is increasing sharply. Due to the complex nonlinear dynamics, a huge research interest is witnessed in developing learning machine based intelligent, self-organizing evolving controller for these vehicles notably to addre... |
1208.2561 | Patrick Traxler | Patrick Traxler | The Relative Exponential Time Complexity of Approximate Counting
Satisfying Assignments | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the exponential time complexity of approximate counting satisfying
assignments of CNFs. We reduce the problem to deciding satisfiability of a CNF.
Our reduction preserves the number of variables of the input formula and thus
also preserves the exponential complexity of approximate counting.
Our algorithm i... | [
{
"created": "Mon, 13 Aug 2012 12:08:11 GMT",
"version": "v1"
}
] | 2012-08-14 | [
[
"Traxler",
"Patrick",
""
]
] | We study the exponential time complexity of approximate counting satisfying assignments of CNFs. We reduce the problem to deciding satisfiability of a CNF. Our reduction preserves the number of variables of the input formula and thus also preserves the exponential complexity of approximate counting. Our algorithm is al... |
1303.1417 | Sugata Sanyal | Sugata Sanyal, Parthasarathy P. Iyer | Inter-Cloud Data Security Strategies | 5 pages, 1 Table. arXiv admin note: text overlap with
arXiv:0907.2485, arXiv:0903.0694 by other authors without attribution | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cloud computing is a complex infrastructure of software, hardware,
processing, and storage that is available as a service. Cloud computing offers
immediate access to large numbers of the world's most sophisticated
supercomputers and their corresponding processing power, interconnected at
various locations around the ... | [
{
"created": "Wed, 6 Mar 2013 18:36:09 GMT",
"version": "v1"
}
] | 2013-03-07 | [
[
"Sanyal",
"Sugata",
""
],
[
"Iyer",
"Parthasarathy P.",
""
]
] | Cloud computing is a complex infrastructure of software, hardware, processing, and storage that is available as a service. Cloud computing offers immediate access to large numbers of the world's most sophisticated supercomputers and their corresponding processing power, interconnected at various locations around the wo... |
1712.01653 | Ignacio Garcia Dorado | Aysegul Dundar and Ignacio Garcia-Dorado | Context Augmentation for Convolutional Neural Networks | 8 pages, 7 figures | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent enhancements of deep convolutional neural networks (ConvNets)
empowered by enormous amounts of labeled data have closed the gap with human
performance for many object recognition tasks. These impressive results have
generated interest in understanding and visualization of ConvNets. In this
work, we study the e... | [
{
"created": "Wed, 22 Nov 2017 23:53:47 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Dec 2017 01:11:35 GMT",
"version": "v2"
}
] | 2017-12-13 | [
[
"Dundar",
"Aysegul",
""
],
[
"Garcia-Dorado",
"Ignacio",
""
]
] | Recent enhancements of deep convolutional neural networks (ConvNets) empowered by enormous amounts of labeled data have closed the gap with human performance for many object recognition tasks. These impressive results have generated interest in understanding and visualization of ConvNets. In this work, we study the eff... |
1510.00208 | M\'ark F\"uzesdi | Mark F\"uzesdi | Boolean-type Retractable State-finite Automata Without Outputs | 12 pages | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An automaton $\bf A$ is called a retractable automaton if, for every
subautomaton $\bf B$ of $\bf A$, there is at least one homomorphism of $\bf A$
onto $\bf B$ which leaves the elements of $B$ fixed (such homomorphism is
called a retract homomorphism of $\bf A$ onto $\bf B$). We say that a
retractable automaton ${\b... | [
{
"created": "Thu, 1 Oct 2015 13:02:22 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Oct 2015 14:10:04 GMT",
"version": "v2"
}
] | 2015-10-06 | [
[
"Füzesdi",
"Mark",
""
]
] | An automaton $\bf A$ is called a retractable automaton if, for every subautomaton $\bf B$ of $\bf A$, there is at least one homomorphism of $\bf A$ onto $\bf B$ which leaves the elements of $B$ fixed (such homomorphism is called a retract homomorphism of $\bf A$ onto $\bf B$). We say that a retractable automaton ${\bf ... |
2209.11885 | Wendi Liu | Wendi Liu, Michael J. Pyrcz | Physics-Informed Graph Neural Network for Spatial-temporal Production
Forecasting | null | null | null | null | cs.LG physics.app-ph | http://creativecommons.org/licenses/by/4.0/ | Production forecast based on historical data provides essential value for
developing hydrocarbon resources. Classic history matching workflow is often
computationally intense and geometry-dependent. Analytical data-driven models
like decline curve analysis (DCA) and capacitance resistance models (CRM)
provide a grid-... | [
{
"created": "Fri, 23 Sep 2022 23:28:40 GMT",
"version": "v1"
}
] | 2022-09-27 | [
[
"Liu",
"Wendi",
""
],
[
"Pyrcz",
"Michael J.",
""
]
] | Production forecast based on historical data provides essential value for developing hydrocarbon resources. Classic history matching workflow is often computationally intense and geometry-dependent. Analytical data-driven models like decline curve analysis (DCA) and capacitance resistance models (CRM) provide a grid-fr... |
2212.08769 | Omead Pooladzandi | Omead Pooladzandi, Yiming Zhou | Improving Levenberg-Marquardt Algorithm for Neural Networks | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We explore the usage of the Levenberg-Marquardt (LM) algorithm for regression
(non-linear least squares) and classification (generalized Gauss-Newton
methods) tasks in neural networks. We compare the performance of the LM method
with other popular first-order algorithms such as SGD and Adam, as well as
other second-o... | [
{
"created": "Sat, 17 Dec 2022 00:36:46 GMT",
"version": "v1"
}
] | 2022-12-20 | [
[
"Pooladzandi",
"Omead",
""
],
[
"Zhou",
"Yiming",
""
]
] | We explore the usage of the Levenberg-Marquardt (LM) algorithm for regression (non-linear least squares) and classification (generalized Gauss-Newton methods) tasks in neural networks. We compare the performance of the LM method with other popular first-order algorithms such as SGD and Adam, as well as other second-ord... |
2306.09049 | Andreas Fischer | Zineddine Bettouche and Andreas Fischer | Mapping Researcher Activity based on Publication Data by means of
Transformers | Proc. of the Interdisciplinary Conference on Mechanics, Computers and
Electrics (ICMECE 2022) | null | null | null | cs.CL cs.DL cs.IR cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Modern performance on several natural language processing (NLP) tasks has
been enhanced thanks to the Transformer-based pre-trained language model BERT.
We employ this concept to investigate a local publication database. Research
papers are encoded and clustered to form a landscape view of the scientific
topics, in w... | [
{
"created": "Thu, 15 Jun 2023 11:13:54 GMT",
"version": "v1"
}
] | 2023-06-16 | [
[
"Bettouche",
"Zineddine",
""
],
[
"Fischer",
"Andreas",
""
]
] | Modern performance on several natural language processing (NLP) tasks has been enhanced thanks to the Transformer-based pre-trained language model BERT. We employ this concept to investigate a local publication database. Research papers are encoded and clustered to form a landscape view of the scientific topics, in whi... |
1011.2235 | Konstantinos Tsianos | Konstantinos I. Tsianos and Michael G. Rabbat | Multiscale Gossip for Efficient Decentralized Averaging in Wireless
Packet Networks | (under Review) | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes and analyzes a hierarchical gossip algorithm for solving
the distributed average consensus problem in wireless sensor networks. The
network is recursively partitioned into subnetworks. Initially, nodes at the
finest scale gossip to compute local averages. Then, using geographic routing
to enable ... | [
{
"created": "Tue, 9 Nov 2010 23:50:10 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jan 2012 21:23:03 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Feb 2012 21:51:58 GMT",
"version": "v3"
}
] | 2012-02-29 | [
[
"Tsianos",
"Konstantinos I.",
""
],
[
"Rabbat",
"Michael G.",
""
]
] | This paper describes and analyzes a hierarchical gossip algorithm for solving the distributed average consensus problem in wireless sensor networks. The network is recursively partitioned into subnetworks. Initially, nodes at the finest scale gossip to compute local averages. Then, using geographic routing to enable go... |
2311.18102 | Parshuram Aarotale | Parshuram N. Aarotale, Twyla Hill, Ajita Rattani | PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction | 7 pages,3 figures | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Due to an alarming trend related to obesity affecting 93.3 million adults in
the United States alone, body mass index (BMI) and body weight have drawn
significant interest in various health monitoring applications. Consequently,
several studies have proposed self-diagnostic facial image-based BMI prediction
methods f... | [
{
"created": "Wed, 29 Nov 2023 21:39:24 GMT",
"version": "v1"
}
] | 2023-12-01 | [
[
"Aarotale",
"Parshuram N.",
""
],
[
"Hill",
"Twyla",
""
],
[
"Rattani",
"Ajita",
""
]
] | Due to an alarming trend related to obesity affecting 93.3 million adults in the United States alone, body mass index (BMI) and body weight have drawn significant interest in various health monitoring applications. Consequently, several studies have proposed self-diagnostic facial image-based BMI prediction methods for... |
1607.00234 | Florentin Smarandache | Florentin Smarandache | Neutrosophic Overset, Neutrosophic Underset, and Neutrosophic Offset.
Similarly for Neutrosophic Over-/Under-/Off- Logic, Probability, and
Statistics | 170 pages | Pons Editions, Bruxelles, 2016 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neutrosophic Over-/Under-/Off-Set and -Logic were defined by the author in
1995 and published for the first time in 2007. We extended the neutrosophic set
respectively to Neutrosophic Overset {when some neutrosophic component is over
1}, Neutrosophic Underset {when some neutrosophic component is below 0}, and to
Neut... | [
{
"created": "Thu, 30 Jun 2016 02:17:59 GMT",
"version": "v1"
}
] | 2016-07-04 | [
[
"Smarandache",
"Florentin",
""
]
] | Neutrosophic Over-/Under-/Off-Set and -Logic were defined by the author in 1995 and published for the first time in 2007. We extended the neutrosophic set respectively to Neutrosophic Overset {when some neutrosophic component is over 1}, Neutrosophic Underset {when some neutrosophic component is below 0}, and to Neutro... |
1911.11351 | Mingda Wu | Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang | Distraction-Aware Feature Learning for Human Attribute Recognition via
Coarse-to-Fine Attention Mechanism | 8 pages, 5 figures, accepted by AAAI-20 as an oral presentation | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Human Attribute Recognition (HAR) has become a hot topic due to its
scientific challenges and application potentials, where localizing attributes
is a crucial stage but not well handled. In this paper, we propose a novel deep
learning approach to HAR, namely Distraction-aware HAR (Da-HAR). It enhances
deep ... | [
{
"created": "Tue, 26 Nov 2019 05:49:52 GMT",
"version": "v1"
}
] | 2019-11-27 | [
[
"Wu",
"Mingda",
""
],
[
"Huang",
"Di",
""
],
[
"Guo",
"Yuanfang",
""
],
[
"Wang",
"Yunhong",
""
]
] | Recently, Human Attribute Recognition (HAR) has become a hot topic due to its scientific challenges and application potentials, where localizing attributes is a crucial stage but not well handled. In this paper, we propose a novel deep learning approach to HAR, namely Distraction-aware HAR (Da-HAR). It enhances deep CN... |
2011.13347 | Catarina Lopes-Dias | Catarina Lopes-Dias, Andreea I. Sburlea, Katharina Breitegger, Daniela
Wyss, Harald Drescher, Renate Wildburger and Gernot R. M\"uller-Putz | Online asynchronous detection of error-related potentials in
participants with a spinal cord injury using a generic classifier | null | J. Neural Eng. 18 046022 (2021) | 10.1088/1741-2552/abd1eb | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | A BCI user awareness of an error is associated with a cortical signature
named error-related potential (ErrP). The incorporation of ErrPs' detection in
BCIs can improve BCIs' performance. This work is three-folded. First, we
investigate if an ErrP classifier is transferable from able-bodied participants
to participan... | [
{
"created": "Thu, 26 Nov 2020 15:24:41 GMT",
"version": "v1"
},
{
"created": "Sun, 6 Dec 2020 08:08:22 GMT",
"version": "v2"
},
{
"created": "Fri, 2 Apr 2021 16:15:12 GMT",
"version": "v3"
}
] | 2021-04-05 | [
[
"Lopes-Dias",
"Catarina",
""
],
[
"Sburlea",
"Andreea I.",
""
],
[
"Breitegger",
"Katharina",
""
],
[
"Wyss",
"Daniela",
""
],
[
"Drescher",
"Harald",
""
],
[
"Wildburger",
"Renate",
""
],
[
"Müller-Putz",
"Ge... | A BCI user awareness of an error is associated with a cortical signature named error-related potential (ErrP). The incorporation of ErrPs' detection in BCIs can improve BCIs' performance. This work is three-folded. First, we investigate if an ErrP classifier is transferable from able-bodied participants to participants... |
2305.09062 | Gilberto Ochoa-Ruiz | Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Ivan Reyes-Amezcua,
Daniel Flores-Araiza, Francisco Lopez-Tiro, Andres Mendez-Vazquez, Gilberto
Ochoa-Ruiz | SuSana Distancia is all you need: Enforcing class separability in metric
learning via two novel distance-based loss functions for few-shot image
classification | Paper submitted to a journal for publication | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Few-shot learning is a challenging area of research that aims to learn new
concepts with only a few labeled samples of data. Recent works based on
metric-learning approaches leverage the meta-learning approach, which is
encompassed by episodic tasks that make use a support (training) and query set
(test) with the obj... | [
{
"created": "Mon, 15 May 2023 23:12:09 GMT",
"version": "v1"
},
{
"created": "Wed, 17 May 2023 00:58:41 GMT",
"version": "v2"
},
{
"created": "Thu, 18 May 2023 20:41:34 GMT",
"version": "v3"
}
] | 2023-05-22 | [
[
"Mendez-Ruiz",
"Mauricio",
""
],
[
"Gonzalez-Zapata",
"Jorge",
""
],
[
"Reyes-Amezcua",
"Ivan",
""
],
[
"Flores-Araiza",
"Daniel",
""
],
[
"Lopez-Tiro",
"Francisco",
""
],
[
"Mendez-Vazquez",
"Andres",
""
],
[
"Och... | Few-shot learning is a challenging area of research that aims to learn new concepts with only a few labeled samples of data. Recent works based on metric-learning approaches leverage the meta-learning approach, which is encompassed by episodic tasks that make use a support (training) and query set (test) with the objec... |
2107.00495 | Boxiang Dong | Boxiang Dong, Bo Zhang, Hui (Wendy) Wang | VeriDL: Integrity Verification of Outsourced Deep Learning Services
(Extended Version) | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by-sa/4.0/ | Deep neural networks (DNNs) are prominent due to their superior performance
in many fields. The deep-learning-as-a-service (DLaaS) paradigm enables
individuals and organizations (clients) to outsource their DNN learning tasks
to the cloud-based platforms. However, the DLaaS server may return incorrect
DNN models due ... | [
{
"created": "Thu, 1 Jul 2021 14:37:49 GMT",
"version": "v1"
}
] | 2021-07-02 | [
[
"Dong",
"Boxiang",
"",
"Wendy"
],
[
"Zhang",
"Bo",
"",
"Wendy"
],
[
"Hui",
"",
"",
"Wendy"
],
[
"Wang",
"",
""
]
] | Deep neural networks (DNNs) are prominent due to their superior performance in many fields. The deep-learning-as-a-service (DLaaS) paradigm enables individuals and organizations (clients) to outsource their DNN learning tasks to the cloud-based platforms. However, the DLaaS server may return incorrect DNN models due to... |
2404.06780 | Fan Lu | Fan Lu, Kwan-Yee Lin, Yan Xu, Hongsheng Li, Guang Chen, Changjun Jiang | Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior | Project page: https://urbanarchitect.github.io/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Text-to-3D generation has achieved remarkable success via large-scale
text-to-image diffusion models. Nevertheless, there is no paradigm for scaling
up the methodology to urban scale. Urban scenes, characterized by numerous
elements, intricate arrangement relationships, and vast scale, present a
formidable barrier to... | [
{
"created": "Wed, 10 Apr 2024 06:41:30 GMT",
"version": "v1"
}
] | 2024-04-11 | [
[
"Lu",
"Fan",
""
],
[
"Lin",
"Kwan-Yee",
""
],
[
"Xu",
"Yan",
""
],
[
"Li",
"Hongsheng",
""
],
[
"Chen",
"Guang",
""
],
[
"Jiang",
"Changjun",
""
]
] | Text-to-3D generation has achieved remarkable success via large-scale text-to-image diffusion models. Nevertheless, there is no paradigm for scaling up the methodology to urban scale. Urban scenes, characterized by numerous elements, intricate arrangement relationships, and vast scale, present a formidable barrier to t... |
2009.06110 | Gasper Begus | Ga\v{s}per Begu\v{s} | Identity-Based Patterns in Deep Convolutional Networks: Generative
Adversarial Phonology and Reduplication | Paper accepted at TACL | Transactions of the Association for Computational Linguistics 9
(2021): 1180-1196 | 10.1162/tacl_a_00421 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper models unsupervised learning of an identity-based pattern (or
copying) in speech called reduplication from raw continuous data with deep
convolutional neural networks. We use the ciwGAN architecture Begu\v{s} (2021a;
arXiv:2006.02951) in which learning of meaningful representations in speech
emerges from a... | [
{
"created": "Sun, 13 Sep 2020 23:12:49 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Jul 2021 12:03:04 GMT",
"version": "v2"
}
] | 2021-11-23 | [
[
"Beguš",
"Gašper",
""
]
] | This paper models unsupervised learning of an identity-based pattern (or copying) in speech called reduplication from raw continuous data with deep convolutional neural networks. We use the ciwGAN architecture Begu\v{s} (2021a; arXiv:2006.02951) in which learning of meaningful representations in speech emerges from a r... |
1207.2701 | Vijay Mankar | T. S. Das, V. H. Mankar and S. K. Sarkar | Spread Spectrum based Robust Image Watermark Authentication | ICACC 2007 International Conference, Madurai, India, 9-10 Feb, 2007 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a new approach to Spread Spectrum (SS) watermarking technique
is introduced. This problem is particularly interesting in the field of modern
multimedia applications like internet when copyright protection of digital
image is required. The approach exploits two-predecessor single attractor
(TPSA) cellul... | [
{
"created": "Wed, 11 Jul 2012 16:28:43 GMT",
"version": "v1"
}
] | 2012-07-12 | [
[
"Das",
"T. S.",
""
],
[
"Mankar",
"V. H.",
""
],
[
"Sarkar",
"S. K.",
""
]
] | In this paper, a new approach to Spread Spectrum (SS) watermarking technique is introduced. This problem is particularly interesting in the field of modern multimedia applications like internet when copyright protection of digital image is required. The approach exploits two-predecessor single attractor (TPSA) cellular... |
1709.02642 | Dmytro Terletskyi | Dmytro Terletskyi | Object-Oriented Knowledge Extraction using Universal Exploiters | null | Proceedings of the XIIth International Scientific and Technical
Conference Computer Science and Information Technologies, CSIT-2017, 5-8
September, 2017, Lviv, Ukraine, pp. 257-266 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper contains analysis and extension of exploiters-based knowledge
extraction methods, which allow generation of new knowledge, based on the basic
ones. The main achievement of the paper is useful features of some universal
exploiters proof, which allow extending set of basic classes and set of basic
relations ... | [
{
"created": "Fri, 8 Sep 2017 10:55:15 GMT",
"version": "v1"
}
] | 2017-09-11 | [
[
"Terletskyi",
"Dmytro",
""
]
] | This paper contains analysis and extension of exploiters-based knowledge extraction methods, which allow generation of new knowledge, based on the basic ones. The main achievement of the paper is useful features of some universal exploiters proof, which allow extending set of basic classes and set of basic relations by... |
2304.10246 | Baris Kayalibay | Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt,
Justin Bayer | Filter-Aware Model-Predictive Control | null | null | null | null | cs.LG cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Partially-observable problems pose a trade-off between reducing costs and
gathering information. They can be solved optimally by planning in belief
space, but that is often prohibitively expensive. Model-predictive control
(MPC) takes the alternative approach of using a state estimator to form a
belief over the state... | [
{
"created": "Thu, 20 Apr 2023 12:06:41 GMT",
"version": "v1"
}
] | 2023-04-21 | [
[
"Kayalibay",
"Baris",
""
],
[
"Mirchev",
"Atanas",
""
],
[
"Agha",
"Ahmed",
""
],
[
"van der Smagt",
"Patrick",
""
],
[
"Bayer",
"Justin",
""
]
] | Partially-observable problems pose a trade-off between reducing costs and gathering information. They can be solved optimally by planning in belief space, but that is often prohibitively expensive. Model-predictive control (MPC) takes the alternative approach of using a state estimator to form a belief over the state, ... |
1808.09682 | Hung Dang | Hung Dang and Dat Le Tien and Ee-Chien Chang | Fair Marketplace for Secure Outsourced Computations | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The cloud computing paradigm offers clients ubiquitous and on demand access
to a shared pool of computing resources, enabling the clients to provision
scalable services with minimal management effort. Such a pool of resources,
however, is typically owned and controlled by a single service provider, making
it a single... | [
{
"created": "Wed, 29 Aug 2018 08:36:16 GMT",
"version": "v1"
}
] | 2018-08-30 | [
[
"Dang",
"Hung",
""
],
[
"Tien",
"Dat Le",
""
],
[
"Chang",
"Ee-Chien",
""
]
] | The cloud computing paradigm offers clients ubiquitous and on demand access to a shared pool of computing resources, enabling the clients to provision scalable services with minimal management effort. Such a pool of resources, however, is typically owned and controlled by a single service provider, making it a single-p... |
2305.00075 | Nicolas Garcia Trillos | Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim | On the existence of solutions to adversarial training in multiclass
classification | null | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study three models of the problem of adversarial training in multiclass
classification designed to construct robust classifiers against adversarial
perturbations of data in the agnostic-classifier setting. We prove the
existence of Borel measurable robust classifiers in each model and provide a
unified perspective... | [
{
"created": "Fri, 28 Apr 2023 20:03:30 GMT",
"version": "v1"
},
{
"created": "Mon, 29 May 2023 06:19:45 GMT",
"version": "v2"
}
] | 2023-05-30 | [
[
"Trillos",
"Nicolas Garcia",
""
],
[
"Jacobs",
"Matt",
""
],
[
"Kim",
"Jakwang",
""
]
] | We study three models of the problem of adversarial training in multiclass classification designed to construct robust classifiers against adversarial perturbations of data in the agnostic-classifier setting. We prove the existence of Borel measurable robust classifiers in each model and provide a unified perspective o... |
1909.06940 | Zhao Kang | Zhao Kang and Guoxin Shi and Shudong Huang and Wenyu Chen and Xiaorong
Pu and Joey Tianyi Zhou and Zenglin Xu | Multi-graph Fusion for Multi-view Spectral Clustering | submitted to Knowledge-based Systems | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A panoply of multi-view clustering algorithms has been developed to deal with
prevalent multi-view data. Among them, spectral clustering-based methods have
drawn much attention and demonstrated promising results recently. Despite
progress, there are still two fundamental questions that stay unanswered to
date. First,... | [
{
"created": "Mon, 16 Sep 2019 02:22:02 GMT",
"version": "v1"
}
] | 2019-09-17 | [
[
"Kang",
"Zhao",
""
],
[
"Shi",
"Guoxin",
""
],
[
"Huang",
"Shudong",
""
],
[
"Chen",
"Wenyu",
""
],
[
"Pu",
"Xiaorong",
""
],
[
"Zhou",
"Joey Tianyi",
""
],
[
"Xu",
"Zenglin",
""
]
] | A panoply of multi-view clustering algorithms has been developed to deal with prevalent multi-view data. Among them, spectral clustering-based methods have drawn much attention and demonstrated promising results recently. Despite progress, there are still two fundamental questions that stay unanswered to date. First, h... |
2305.09905 | Karim Eldefrawy | Aysajan Abidin, Karim Eldefrawy, Dave Singelee | Entanglement-based Mutual Quantum Distance Bounding | 23 pages | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Mutual distance bounding (DB) protocols enable two distrusting parties to
establish an upper-bound on the distance between them. DB has been so far
mainly considered in classical settings and for classical applications,
especially in wireless settings, e.g., to prevent relay attacks in wireless
authentication and acc... | [
{
"created": "Wed, 17 May 2023 02:28:00 GMT",
"version": "v1"
}
] | 2023-05-18 | [
[
"Abidin",
"Aysajan",
""
],
[
"Eldefrawy",
"Karim",
""
],
[
"Singelee",
"Dave",
""
]
] | Mutual distance bounding (DB) protocols enable two distrusting parties to establish an upper-bound on the distance between them. DB has been so far mainly considered in classical settings and for classical applications, especially in wireless settings, e.g., to prevent relay attacks in wireless authentication and acces... |
1703.01860 | Moritz Mueller | Yijia Chen, Michael Elberfeld, Moritz M\"uller | The parameterized space complexity of model-checking bounded variable
first-order logic | null | Logical Methods in Computer Science, Volume 15, Issue 3 (September
20, 2019) lmcs:3172 | 10.23638/LMCS-15(3:31)2019 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | The parameterized model-checking problem for a class of first-order sentences
(queries) asks to decide whether a given sentence from the class holds true in
a given relational structure (database); the parameter is the length of the
sentence. We study the parameterized space complexity of the model-checking
problem f... | [
{
"created": "Mon, 6 Mar 2017 13:22:10 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Nov 2018 14:56:08 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Jun 2019 09:40:14 GMT",
"version": "v3"
},
{
"created": "Mon, 26 Aug 2019 06:56:34 GMT",
"version": "v4"
},
{
"crea... | 2023-06-22 | [
[
"Chen",
"Yijia",
""
],
[
"Elberfeld",
"Michael",
""
],
[
"Müller",
"Moritz",
""
]
] | The parameterized model-checking problem for a class of first-order sentences (queries) asks to decide whether a given sentence from the class holds true in a given relational structure (database); the parameter is the length of the sentence. We study the parameterized space complexity of the model-checking problem for... |
2405.13448 | Chengyu Wang | Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang | Distilling Instruction-following Abilities of Large Language Models with
Task-aware Curriculum Planning | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The process of instruction tuning aligns pre-trained large language models
(LLMs) with open-domain instructions and human-preferred responses. While
several studies have explored autonomous approaches to distilling and
annotating instructions from more powerful proprietary LLMs, such as ChatGPT,
they often neglect th... | [
{
"created": "Wed, 22 May 2024 08:38:26 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Yue",
"Yuanhao",
""
],
[
"Wang",
"Chengyu",
""
],
[
"Huang",
"Jun",
""
],
[
"Wang",
"Peng",
""
]
] | The process of instruction tuning aligns pre-trained large language models (LLMs) with open-domain instructions and human-preferred responses. While several studies have explored autonomous approaches to distilling and annotating instructions from more powerful proprietary LLMs, such as ChatGPT, they often neglect the ... |
1401.2949 | Larry Bull | Larry Bull | Exploiting generalisation symmetries in accuracy-based learning
classifier systems: An initial study | 6 pages, 13 figures | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern learning classifier systems typically exploit a niched genetic
algorithm to facilitate rule discovery. When used for reinforcement learning,
such rules represent generalisations over the state-action-reward space. Whilst
encouraging maximal generality, the niching can potentially hinder the
formation of genera... | [
{
"created": "Fri, 10 Jan 2014 12:46:56 GMT",
"version": "v1"
}
] | 2014-01-14 | [
[
"Bull",
"Larry",
""
]
] | Modern learning classifier systems typically exploit a niched genetic algorithm to facilitate rule discovery. When used for reinforcement learning, such rules represent generalisations over the state-action-reward space. Whilst encouraging maximal generality, the niching can potentially hinder the formation of generali... |
2308.11911 | Hyekang Park | Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham | ACLS: Adaptive and Conditional Label Smoothing for Network Calibration | Accepted to ICCV 2023 (Oral presentation) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of network calibration adjusting miscalibrated
confidences of deep neural networks. Many approaches to network calibration
adopt a regularization-based method that exploits a regularization term to
smooth the miscalibrated confidences. Although these approaches have shown the
effectiveness on c... | [
{
"created": "Wed, 23 Aug 2023 04:52:48 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Aug 2023 06:35:22 GMT",
"version": "v2"
}
] | 2023-08-25 | [
[
"Park",
"Hyekang",
""
],
[
"Noh",
"Jongyoun",
""
],
[
"Oh",
"Youngmin",
""
],
[
"Baek",
"Donghyeon",
""
],
[
"Ham",
"Bumsub",
""
]
] | We address the problem of network calibration adjusting miscalibrated confidences of deep neural networks. Many approaches to network calibration adopt a regularization-based method that exploits a regularization term to smooth the miscalibrated confidences. Although these approaches have shown the effectiveness on cal... |
1703.01148 | Bikash Chandra | Bikash Chandra, S. Sudarshan | Runtime Optimization of Join Location in Parallel Data Management
Systems | 17 pages | null | null | null | cs.DB cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Applications running on parallel systems often need to join a streaming
relation or a stored relation with data indexed in a parallel data storage
system. Some applications also compute UDFs on the joined tuples. The join can
be done at the data storage nodes, corresponding to reduce side joins, or by
fetching data f... | [
{
"created": "Fri, 3 Mar 2017 13:21:25 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Jun 2017 06:01:10 GMT",
"version": "v2"
},
{
"created": "Mon, 31 Jul 2017 09:26:37 GMT",
"version": "v3"
}
] | 2017-08-01 | [
[
"Chandra",
"Bikash",
""
],
[
"Sudarshan",
"S.",
""
]
] | Applications running on parallel systems often need to join a streaming relation or a stored relation with data indexed in a parallel data storage system. Some applications also compute UDFs on the joined tuples. The join can be done at the data storage nodes, corresponding to reduce side joins, or by fetching data fro... |
1502.02551 | Suyog Gupta | Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan | Deep Learning with Limited Numerical Precision | 10 pages, 6 figures, 1 table | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training of large-scale deep neural networks is often constrained by the
available computational resources. We study the effect of limited precision
data representation and computation on neural network training. Within the
context of low-precision fixed-point computations, we observe the rounding
scheme to play a cr... | [
{
"created": "Mon, 9 Feb 2015 16:37:29 GMT",
"version": "v1"
}
] | 2015-02-11 | [
[
"Gupta",
"Suyog",
""
],
[
"Agrawal",
"Ankur",
""
],
[
"Gopalakrishnan",
"Kailash",
""
],
[
"Narayanan",
"Pritish",
""
]
] | Training of large-scale deep neural networks is often constrained by the available computational resources. We study the effect of limited precision data representation and computation on neural network training. Within the context of low-precision fixed-point computations, we observe the rounding scheme to play a cruc... |
1712.00656 | Alper Kose | Noyan Evirgen, Alper Kose and Hakan Gokcesu | An Asymptotically Optimal Algorithm for Communicating Multiplayer
Multi-Armed Bandit Problems | This work is an extension of the paper [arXiv:1711.01628] which has
been accepted to the 2017 IEEE ICMLA and submitted to Elsevier Signal
Processing | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a decentralized stochastic multi-armed bandit problem with
multiple players. Each player aims to maximize his/her own reward by pulling an
arm. The arms give rewards based on i.i.d. stochastic Bernoulli distributions.
Players are not aware about the probability distributions of the arms. At the
end of eac... | [
{
"created": "Sat, 2 Dec 2017 18:58:04 GMT",
"version": "v1"
}
] | 2017-12-05 | [
[
"Evirgen",
"Noyan",
""
],
[
"Kose",
"Alper",
""
],
[
"Gokcesu",
"Hakan",
""
]
] | We consider a decentralized stochastic multi-armed bandit problem with multiple players. Each player aims to maximize his/her own reward by pulling an arm. The arms give rewards based on i.i.d. stochastic Bernoulli distributions. Players are not aware about the probability distributions of the arms. At the end of each ... |
1602.05837 | Arturs Backurs | Arturs Backurs and Nishanth Dikkala and Christos Tzamos | Tight Hardness Results for Maximum Weight Rectangles | null | null | null | null | cs.DS cs.CC cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given $n$ weighted points (positive or negative) in $d$ dimensions, what is
the axis-aligned box which maximizes the total weight of the points it
contains?
The best known algorithm for this problem is based on a reduction to a
related problem, the Weighted Depth problem [T. M. Chan, FOCS'13], and runs in
time $O(n... | [
{
"created": "Thu, 18 Feb 2016 15:24:22 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Mar 2016 00:12:38 GMT",
"version": "v2"
}
] | 2016-03-04 | [
[
"Backurs",
"Arturs",
""
],
[
"Dikkala",
"Nishanth",
""
],
[
"Tzamos",
"Christos",
""
]
] | Given $n$ weighted points (positive or negative) in $d$ dimensions, what is the axis-aligned box which maximizes the total weight of the points it contains? The best known algorithm for this problem is based on a reduction to a related problem, the Weighted Depth problem [T. M. Chan, FOCS'13], and runs in time $O(n^d)$... |
2106.05498 | Angela Zhou | Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah
Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian | It's COMPASlicated: The Messy Relationship between RAI Datasets and
Algorithmic Fairness Benchmarks | NeurIPS 2021 Datasets and Benchmarks | null | null | null | cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Risk assessment instrument (RAI) datasets, particularly ProPublica's COMPAS
dataset, are commonly used in algorithmic fairness papers due to benchmarking
practices of comparing algorithms on datasets used in prior work. In many
cases, this data is used as a benchmark to demonstrate good performance without
accounting... | [
{
"created": "Thu, 10 Jun 2021 04:59:06 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Dec 2021 21:22:06 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Apr 2022 18:04:20 GMT",
"version": "v3"
}
] | 2022-05-02 | [
[
"Bao",
"Michelle",
""
],
[
"Zhou",
"Angela",
""
],
[
"Zottola",
"Samantha",
""
],
[
"Brubach",
"Brian",
""
],
[
"Desmarais",
"Sarah",
""
],
[
"Horowitz",
"Aaron",
""
],
[
"Lum",
"Kristian",
""
],
[
... | Risk assessment instrument (RAI) datasets, particularly ProPublica's COMPAS dataset, are commonly used in algorithmic fairness papers due to benchmarking practices of comparing algorithms on datasets used in prior work. In many cases, this data is used as a benchmark to demonstrate good performance without accounting f... |
1108.5212 | Gadiel Seroussi | Gadiel Seroussi, Wojciech Szpankowski, Marcelo J. Weinberger | Deinterleaving Finite Memory Processes via Penalized Maximum Likelihood | null | null | null | Hewlett-Packard Laboratories Technical Report HPL-2011-136 | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of deinterleaving a set of finite-memory (Markov)
processes over disjoint finite alphabets, which have been randomly interleaved
by a finite-memory switch. The deinterleaver has access to a sample of the
resulting interleaved process, but no knowledge of the number or structure of
the component M... | [
{
"created": "Thu, 25 Aug 2011 22:25:48 GMT",
"version": "v1"
}
] | 2011-08-29 | [
[
"Seroussi",
"Gadiel",
""
],
[
"Szpankowski",
"Wojciech",
""
],
[
"Weinberger",
"Marcelo J.",
""
]
] | We study the problem of deinterleaving a set of finite-memory (Markov) processes over disjoint finite alphabets, which have been randomly interleaved by a finite-memory switch. The deinterleaver has access to a sample of the resulting interleaved process, but no knowledge of the number or structure of the component Mar... |
2307.01069 | Konstantin Pakulev Stanislavovich | Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer | Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability
Score | 10 pages, 4 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning a feature point detector presents a challenge both due to the
ambiguity of the definition of a keypoint and correspondingly the need for a
specially prepared ground truth labels for such points. In our work, we address
both of these issues by utilizing a combination of a hand-crafted Shi detector
and a neura... | [
{
"created": "Mon, 3 Jul 2023 14:50:14 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"Pakulev",
"Konstantin",
""
],
[
"Vakhitov",
"Alexander",
""
],
[
"Ferrer",
"Gonzalo",
""
]
] | Learning a feature point detector presents a challenge both due to the ambiguity of the definition of a keypoint and correspondingly the need for a specially prepared ground truth labels for such points. In our work, we address both of these issues by utilizing a combination of a hand-crafted Shi detector and a neural ... |
2404.13400 | Linhui Xiao | Linhui Xiao, Xiaoshan Yang, Fang Peng, Yaowei Wang, Changsheng Xu | HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual
Grounding | The project page: https://github.com/linhuixiao/HiVG | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual grounding, which aims to ground a visual region via natural language,
is a task that heavily relies on cross-modal alignment. Existing works utilized
uni-modal pre-trained models to transfer visual/linguistic knowledge separately
while ignoring the multimodal corresponding information. Motivated by recent
adva... | [
{
"created": "Sat, 20 Apr 2024 14:57:31 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Xiao",
"Linhui",
""
],
[
"Yang",
"Xiaoshan",
""
],
[
"Peng",
"Fang",
""
],
[
"Wang",
"Yaowei",
""
],
[
"Xu",
"Changsheng",
""
]
] | Visual grounding, which aims to ground a visual region via natural language, is a task that heavily relies on cross-modal alignment. Existing works utilized uni-modal pre-trained models to transfer visual/linguistic knowledge separately while ignoring the multimodal corresponding information. Motivated by recent advanc... |
1911.05649 | Xin Zhang | Songbin Xu, Yang Xue, Xin Zhang, Lianwen Jin | Air-Writing Translater: A Novel Unsupervised Domain Adaptation Method
for Inertia-Trajectory Translation of In-air Handwriting | null | null | null | null | cs.CV cs.AI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a new way of human-computer interaction, inertial sensor based in-air
handwriting can provide a natural and unconstrained interaction to express more
complex and richer information in 3D space. However, most of the existing
in-air handwriting work is mainly focused on handwritten character recognition,
which makes... | [
{
"created": "Fri, 1 Nov 2019 14:09:44 GMT",
"version": "v1"
}
] | 2019-11-14 | [
[
"Xu",
"Songbin",
""
],
[
"Xue",
"Yang",
""
],
[
"Zhang",
"Xin",
""
],
[
"Jin",
"Lianwen",
""
]
] | As a new way of human-computer interaction, inertial sensor based in-air handwriting can provide a natural and unconstrained interaction to express more complex and richer information in 3D space. However, most of the existing in-air handwriting work is mainly focused on handwritten character recognition, which makes t... |
2307.07854 | Fuxiang Chen | Iman Saberi, Fatemeh Fard and Fuxiang Chen | AdvFusion: Multilingual Adapter-based Knowledge Transfer for Code
Summarization | under submission | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Parameter Efficient Fine-Tuning (PEFT) is an alternate choice to full
fine-tuning a language model. Though PEFT methods are used in natural language
domain widely, there are limited studies on using PEFT for language models that
are pre-trained on code and comment datasets (i.e., code-LMs). Previous
research has also... | [
{
"created": "Sat, 15 Jul 2023 17:17:16 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Feb 2024 10:47:32 GMT",
"version": "v2"
}
] | 2024-02-05 | [
[
"Saberi",
"Iman",
""
],
[
"Fard",
"Fatemeh",
""
],
[
"Chen",
"Fuxiang",
""
]
] | Parameter Efficient Fine-Tuning (PEFT) is an alternate choice to full fine-tuning a language model. Though PEFT methods are used in natural language domain widely, there are limited studies on using PEFT for language models that are pre-trained on code and comment datasets (i.e., code-LMs). Previous research has also s... |
1407.0080 | Graeme Wilson N | Graeme N. Wilson, Alejandro Ramirez-Serrano, Mahmoud Mustafa, and
Krispin A. Davies | Velocity Selection for High-Speed UGVs in Rough Unknown Terrains using
Force Prediction | 10 pages, 6 figures, Proceedings of 5th International Conference on
Intelligent Robotics and Applications, Concordia University, October 3-5,
2012, Montreal, Canada | 5th International Conference, ICIRA 2012, Montreal, Canada,
October 3-5, 2012, Proceedings, Part II. 7507: 387-396 | 10.1007/978-3-642-33515-0_39 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Enabling high speed navigation of Unmanned Ground Vehicles (UGVs) in unknown
rough terrain where limited or no information is available in advance requires
the assessment of terrain in front of the UGV. Attempts have been made to
predict the forces the terrain exerts on the UGV for the purpose of determining
the maxi... | [
{
"created": "Mon, 30 Jun 2014 23:43:59 GMT",
"version": "v1"
}
] | 2014-07-02 | [
[
"Wilson",
"Graeme N.",
""
],
[
"Ramirez-Serrano",
"Alejandro",
""
],
[
"Mustafa",
"Mahmoud",
""
],
[
"Davies",
"Krispin A.",
""
]
] | Enabling high speed navigation of Unmanned Ground Vehicles (UGVs) in unknown rough terrain where limited or no information is available in advance requires the assessment of terrain in front of the UGV. Attempts have been made to predict the forces the terrain exerts on the UGV for the purpose of determining the maximu... |
1003.2441 | Kien Nguyen | Kien C. Nguyen, Dilip V. Sarwate | Up-sampling and Natural Sample Value Computation for Digital Pulse Width
Modulators | null | null | null | null | cs.SD cs.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Digital pulse width modulation has been considered for high-fidelity and
high-efficiency audio amplifiers for several years. It has been shown that the
distortion can be reduced and the implementation of the system can be
simplified if the switching frequency is much higher than the Nyquist rate of
the modulating wav... | [
{
"created": "Thu, 11 Mar 2010 23:00:15 GMT",
"version": "v1"
}
] | 2010-03-15 | [
[
"Nguyen",
"Kien C.",
""
],
[
"Sarwate",
"Dilip V.",
""
]
] | Digital pulse width modulation has been considered for high-fidelity and high-efficiency audio amplifiers for several years. It has been shown that the distortion can be reduced and the implementation of the system can be simplified if the switching frequency is much higher than the Nyquist rate of the modulating wavef... |
1501.03124 | Amartansh Dubey | Amartansh Dubey and K. M. Bhurchandi | Robust and Real Time Detection of Curvy Lanes (Curves) with Desired
Slopes for Driving Assistance and Autonomous Vehicles | 13 pages, 12 figures, published in International Conference on Signal
and Image Processing (AIRCC Publishing Corporation) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the biggest reasons for road accidents is curvy lanes and blind turns.
Even one of the biggest hurdles for new autonomous vehicles is to detect curvy
lanes, multiple lanes and lanes with a lot of discontinuity and noise. This
paper presents very efficient and advanced algorithm for detecting curves
having desi... | [
{
"created": "Tue, 13 Jan 2015 19:35:18 GMT",
"version": "v1"
}
] | 2015-01-14 | [
[
"Dubey",
"Amartansh",
""
],
[
"Bhurchandi",
"K. M.",
""
]
] | One of the biggest reasons for road accidents is curvy lanes and blind turns. Even one of the biggest hurdles for new autonomous vehicles is to detect curvy lanes, multiple lanes and lanes with a lot of discontinuity and noise. This paper presents very efficient and advanced algorithm for detecting curves having desire... |
2307.08763 | Kumar Ashutosh | Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras,
Kristen Grauman | Video-Mined Task Graphs for Keystep Recognition in Instructional Videos | NeurIPS 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Procedural activity understanding requires perceiving human actions in terms
of a broader task, where multiple keysteps are performed in sequence across a
long video to reach a final goal state -- such as the steps of a recipe or a
DIY fix-it task. Prior work largely treats keystep recognition in isolation of
this br... | [
{
"created": "Mon, 17 Jul 2023 18:19:36 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Oct 2023 04:16:11 GMT",
"version": "v2"
}
] | 2023-10-31 | [
[
"Ashutosh",
"Kumar",
""
],
[
"Ramakrishnan",
"Santhosh Kumar",
""
],
[
"Afouras",
"Triantafyllos",
""
],
[
"Grauman",
"Kristen",
""
]
] | Procedural activity understanding requires perceiving human actions in terms of a broader task, where multiple keysteps are performed in sequence across a long video to reach a final goal state -- such as the steps of a recipe or a DIY fix-it task. Prior work largely treats keystep recognition in isolation of this broa... |
2204.07886 | Yonis Gulzar | Saira Soomro, Arjumand Bano Soomro, Tarique Bhatti and Yonis Gulzar | Gender-Wise Perception of Students Towards Blended Learning in Higher
Education: Pakistan | 5 pages | Scientific Journal of King Faisal University (2021) 22 (2),
126-130 | 10.37575/h/edu/0019 | null | cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Blended learning (BL) is a recent tread among many options that can best fit
learners' needs, regardless of time and place. This study aimed to discover
students' perceptions of BL and the challenges faced by them while using
technology. This quantitative study used data gathered from 300 students
enrolled in four pu... | [
{
"created": "Sat, 16 Apr 2022 23:47:16 GMT",
"version": "v1"
}
] | 2022-04-19 | [
[
"Soomro",
"Saira",
""
],
[
"Soomro",
"Arjumand Bano",
""
],
[
"Bhatti",
"Tarique",
""
],
[
"Gulzar",
"Yonis",
""
]
] | Blended learning (BL) is a recent tread among many options that can best fit learners' needs, regardless of time and place. This study aimed to discover students' perceptions of BL and the challenges faced by them while using technology. This quantitative study used data gathered from 300 students enrolled in four publ... |
2109.01982 | Brian DuSell | Brian DuSell and David Chiang | Learning Hierarchical Structures with Differentiable Nondeterministic
Stacks | 17 pages, 4 figures. Published as a spotlight paper at ICLR 2022.
This revision fixes typos and minor errors | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning hierarchical structures in sequential data -- from simple
algorithmic patterns to natural language -- in a reliable, generalizable way
remains a challenging problem for neural language models. Past work has shown
that recurrent neural networks (RNNs) struggle to generalize on held-out
algorithmic or syntacti... | [
{
"created": "Sun, 5 Sep 2021 03:25:23 GMT",
"version": "v1"
},
{
"created": "Sun, 24 Apr 2022 01:15:47 GMT",
"version": "v2"
},
{
"created": "Tue, 29 Nov 2022 23:39:55 GMT",
"version": "v3"
}
] | 2022-12-01 | [
[
"DuSell",
"Brian",
""
],
[
"Chiang",
"David",
""
]
] | Learning hierarchical structures in sequential data -- from simple algorithmic patterns to natural language -- in a reliable, generalizable way remains a challenging problem for neural language models. Past work has shown that recurrent neural networks (RNNs) struggle to generalize on held-out algorithmic or syntactic ... |
2211.02701 | M. Jorge Cardoso | M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot,
Yiheng Wang, Benjamin Murrey, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh
Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Andriy Myronenko, Wentao Zhu, Yun
Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz
Hashemian, Sachidanand... | MONAI: An open-source framework for deep learning in healthcare | www.monai.io | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | Artificial Intelligence (AI) is having a tremendous impact across most areas
of science. Applications of AI in healthcare have the potential to improve our
ability to detect, diagnose, prognose, and intervene on human disease. For AI
models to be used clinically, they need to be made safe, reproducible and
robust, an... | [
{
"created": "Fri, 4 Nov 2022 18:35:00 GMT",
"version": "v1"
}
] | 2022-11-08 | [
[
"Cardoso",
"M. Jorge",
""
],
[
"Li",
"Wenqi",
""
],
[
"Brown",
"Richard",
""
],
[
"Ma",
"Nic",
""
],
[
"Kerfoot",
"Eric",
""
],
[
"Wang",
"Yiheng",
""
],
[
"Murrey",
"Benjamin",
""
],
[
"Myronenko",... | Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, prognose, and intervene on human disease. For AI models to be used clinically, they need to be made safe, reproducible and robust, and ... |
1906.09907 | Sibylle Hess | Sibylle Hess and Katharina Morik | C-SALT: Mining Class-Specific ALTerations in Boolean Matrix
Factorization | Joint European Conference on Machine Learning and Knowledge Discovery
in Databases. Springer, Cham, 2017 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given labeled data represented by a binary matrix, we consider the task to
derive a Boolean matrix factorization which identifies commonalities and
specifications among the classes. While existing works focus on rank-one
factorizations which are either specific or common to the classes, we derive
class-specific alter... | [
{
"created": "Mon, 17 Jun 2019 22:38:00 GMT",
"version": "v1"
}
] | 2019-06-25 | [
[
"Hess",
"Sibylle",
""
],
[
"Morik",
"Katharina",
""
]
] | Given labeled data represented by a binary matrix, we consider the task to derive a Boolean matrix factorization which identifies commonalities and specifications among the classes. While existing works focus on rank-one factorizations which are either specific or common to the classes, we derive class-specific alterat... |
2203.11987 | Ryan Grainger | Ryan Grainger, Thomas Paniagua, Xi Song, Naresh Cuntoor, Mun Wai Lee,
Tianfu Wu | PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers | CVPR 2023 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision Transformers (ViTs) are built on the assumption of treating image
patches as ``visual tokens" and learn patch-to-patch attention. The patch
embedding based tokenizer has a semantic gap with respect to its counterpart,
the textual tokenizer. The patch-to-patch attention suffers from the quadratic
complexity iss... | [
{
"created": "Tue, 22 Mar 2022 18:28:02 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Apr 2023 00:46:43 GMT",
"version": "v2"
}
] | 2023-04-10 | [
[
"Grainger",
"Ryan",
""
],
[
"Paniagua",
"Thomas",
""
],
[
"Song",
"Xi",
""
],
[
"Cuntoor",
"Naresh",
""
],
[
"Lee",
"Mun Wai",
""
],
[
"Wu",
"Tianfu",
""
]
] | Vision Transformers (ViTs) are built on the assumption of treating image patches as ``visual tokens" and learn patch-to-patch attention. The patch embedding based tokenizer has a semantic gap with respect to its counterpart, the textual tokenizer. The patch-to-patch attention suffers from the quadratic complexity issue... |
2404.13456 | Hanjiang Hu | Hanjiang Hu, Jianglin Lan, Changliu Liu | Real-Time Safe Control of Neural Network Dynamic Models with Sound
Approximation | Camera-ready version of L4DC 2024, 12 pages, 3 figures, 4 tables | null | null | null | cs.LG cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by-sa/4.0/ | Safe control of neural network dynamic models (NNDMs) is important to
robotics and many applications. However, it remains challenging to compute an
optimal safe control in real time for NNDM. To enable real-time computation, we
propose to use a sound approximation of the NNDM in the control synthesis. In
particular, ... | [
{
"created": "Sat, 20 Apr 2024 19:51:29 GMT",
"version": "v1"
},
{
"created": "Mon, 20 May 2024 21:57:31 GMT",
"version": "v2"
}
] | 2024-05-22 | [
[
"Hu",
"Hanjiang",
""
],
[
"Lan",
"Jianglin",
""
],
[
"Liu",
"Changliu",
""
]
] | Safe control of neural network dynamic models (NNDMs) is important to robotics and many applications. However, it remains challenging to compute an optimal safe control in real time for NNDM. To enable real-time computation, we propose to use a sound approximation of the NNDM in the control synthesis. In particular, we... |
2004.07403 | Nisheeth Vishnoi | Jonathan Leake and Nisheeth K. Vishnoi | On the computability of continuous maximum entropy distributions with
applications | 50 pages, STOC 2020 | null | null | null | cs.DS math.OC stat.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We initiate a study of the following problem: Given a continuous domain
$\Omega$ along with its convex hull $\mathcal{K}$, a point $A \in \mathcal{K}$
and a prior measure $\mu$ on $\Omega$, find the probability density over
$\Omega$ whose marginal is $A$ and that minimizes the KL-divergence to $\mu$.
This framework g... | [
{
"created": "Thu, 16 Apr 2020 00:41:40 GMT",
"version": "v1"
}
] | 2020-04-17 | [
[
"Leake",
"Jonathan",
""
],
[
"Vishnoi",
"Nisheeth K.",
""
]
] | We initiate a study of the following problem: Given a continuous domain $\Omega$ along with its convex hull $\mathcal{K}$, a point $A \in \mathcal{K}$ and a prior measure $\mu$ on $\Omega$, find the probability density over $\Omega$ whose marginal is $A$ and that minimizes the KL-divergence to $\mu$. This framework giv... |
2210.06213 | Somya Sharma | Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu
Chatterjee, John Nieber, Christopher Duffy, Vipin Kumar | Probabilistic Inverse Modeling: An Application in Hydrology | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-sa/4.0/ | The astounding success of these methods has made it imperative to obtain more
explainable and trustworthy estimates from these models. In hydrology, basin
characteristics can be noisy or missing, impacting streamflow prediction. For
solving inverse problems in such applications, ensuring explainability is
pivotal for... | [
{
"created": "Wed, 12 Oct 2022 14:00:37 GMT",
"version": "v1"
}
] | 2022-10-13 | [
[
"Sharma",
"Somya",
""
],
[
"Ghosh",
"Rahul",
""
],
[
"Renganathan",
"Arvind",
""
],
[
"Li",
"Xiang",
""
],
[
"Chatterjee",
"Snigdhansu",
""
],
[
"Nieber",
"John",
""
],
[
"Duffy",
"Christopher",
""
],
[... | The astounding success of these methods has made it imperative to obtain more explainable and trustworthy estimates from these models. In hydrology, basin characteristics can be noisy or missing, impacting streamflow prediction. For solving inverse problems in such applications, ensuring explainability is pivotal for t... |
2012.12362 | Rolysent Paredes | Rolysent K Paredes and Alexander A. Hernandez | Designing an Adaptive Bandwidth Management for Higher Education
Institutions | null | null | 10.25147/ijcsr.2017.001.1.22 | null | cs.NI cs.DB | http://creativecommons.org/licenses/by/4.0/ | Purpose: This study proposes an adaptive bandwidth management system which
can be explicitly used by educational institutions. The primary goal of the
system is to increase the bandwidth of the users who access more on educational
websites. Through this proposed bandwidth management, the users of the campus
networks ... | [
{
"created": "Thu, 19 Nov 2020 11:59:29 GMT",
"version": "v1"
}
] | 2020-12-24 | [
[
"Paredes",
"Rolysent K",
""
],
[
"Hernandez",
"Alexander A.",
""
]
] | Purpose: This study proposes an adaptive bandwidth management system which can be explicitly used by educational institutions. The primary goal of the system is to increase the bandwidth of the users who access more on educational websites. Through this proposed bandwidth management, the users of the campus networks is... |
1405.6164 | Ion Androutsopoulos | Ion Androutsopoulos, Gerasimos Lampouras, Dimitrios Galanis | Generating Natural Language Descriptions from OWL Ontologies: the
NaturalOWL System | null | Journal Of Artificial Intelligence Research, Volume 48, pages
671-715, 2013 | 10.1613/jair.4017 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present NaturalOWL, a natural language generation system that produces
texts describing individuals or classes of OWL ontologies. Unlike simpler OWL
verbalizers, which typically express a single axiom at a time in controlled,
often not entirely fluent natural language primarily for the benefit of domain
experts, w... | [
{
"created": "Thu, 24 Apr 2014 02:47:37 GMT",
"version": "v1"
}
] | 2014-05-26 | [
[
"Androutsopoulos",
"Ion",
""
],
[
"Lampouras",
"Gerasimos",
""
],
[
"Galanis",
"Dimitrios",
""
]
] | We present NaturalOWL, a natural language generation system that produces texts describing individuals or classes of OWL ontologies. Unlike simpler OWL verbalizers, which typically express a single axiom at a time in controlled, often not entirely fluent natural language primarily for the benefit of domain experts, we ... |
1801.05627 | Patrick Glauner | Patrick Glauner, Radu State, Petko Valtchev, Diogo Duarte | On the Reduction of Biases in Big Data Sets for the Detection of
Irregular Power Usage | null | Proceedings of the 13th International FLINS Conference on Data
Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018) | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In machine learning, a bias occurs whenever training sets are not
representative for the test data, which results in unreliable models. The most
common biases in data are arguably class imbalance and covariate shift. In this
work, we aim to shed light on this topic in order to increase the overall
attention to this i... | [
{
"created": "Wed, 17 Jan 2018 11:48:18 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Apr 2018 09:06:42 GMT",
"version": "v2"
}
] | 2018-04-04 | [
[
"Glauner",
"Patrick",
""
],
[
"State",
"Radu",
""
],
[
"Valtchev",
"Petko",
""
],
[
"Duarte",
"Diogo",
""
]
] | In machine learning, a bias occurs whenever training sets are not representative for the test data, which results in unreliable models. The most common biases in data are arguably class imbalance and covariate shift. In this work, we aim to shed light on this topic in order to increase the overall attention to this iss... |
2307.11073 | Oscar Michel | Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha
Kembhavi, Tanmay Gupta | OBJECT 3DIT: Language-guided 3D-aware Image Editing | null | null | null | null | cs.CV cs.AI cs.GR | http://creativecommons.org/licenses/by/4.0/ | Existing image editing tools, while powerful, typically disregard the
underlying 3D geometry from which the image is projected. As a result, edits
made using these tools may become detached from the geometry and lighting
conditions that are at the foundation of the image formation process. In this
work, we formulate ... | [
{
"created": "Thu, 20 Jul 2023 17:53:46 GMT",
"version": "v1"
}
] | 2023-07-21 | [
[
"Michel",
"Oscar",
""
],
[
"Bhattad",
"Anand",
""
],
[
"VanderBilt",
"Eli",
""
],
[
"Krishna",
"Ranjay",
""
],
[
"Kembhavi",
"Aniruddha",
""
],
[
"Gupta",
"Tanmay",
""
]
] | Existing image editing tools, while powerful, typically disregard the underlying 3D geometry from which the image is projected. As a result, edits made using these tools may become detached from the geometry and lighting conditions that are at the foundation of the image formation process. In this work, we formulate th... |
1910.10679 | Leslie Smith | Leslie N. Smith | A Useful Taxonomy for Adversarial Robustness of Neural Networks | NRL Technical Report | null | null | null | cs.LG cs.CR cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial attacks and defenses are currently active areas of research for
the deep learning community. A recent review paper divided the defense
approaches into three categories; gradient masking, robust optimization, and
adversarial example detection. We divide gradient masking and robust
optimization differently:... | [
{
"created": "Wed, 23 Oct 2019 17:33:15 GMT",
"version": "v1"
}
] | 2019-10-24 | [
[
"Smith",
"Leslie N.",
""
]
] | Adversarial attacks and defenses are currently active areas of research for the deep learning community. A recent review paper divided the defense approaches into three categories; gradient masking, robust optimization, and adversarial example detection. We divide gradient masking and robust optimization differently: (... |
1703.06113 | Pedro Recuero | Pedro Recuero | Toward an enumeration of unlabeled trees | 10 pages, 17 figures | null | null | null | cs.DS math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an algorithm that, on input $n$, lists every unlabeled tree of
order $n$.
| [
{
"created": "Sat, 11 Mar 2017 02:10:17 GMT",
"version": "v1"
}
] | 2017-03-20 | [
[
"Recuero",
"Pedro",
""
]
] | We present an algorithm that, on input $n$, lists every unlabeled tree of order $n$. |
2109.09034 | Chapman Siu | Chapman Siu, Jason Traish, Richard Yi Da Xu | Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning | null | null | null | null | cs.LG cs.MA stat.ML | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper introduces Greedy UnMix (GUM) for cooperative multi-agent
reinforcement learning (MARL). Greedy UnMix aims to avoid scenarios where MARL
methods fail due to overestimation of values as part of the large joint
state-action space. It aims to address this through a conservative Q-learning
approach through res... | [
{
"created": "Sun, 19 Sep 2021 00:35:18 GMT",
"version": "v1"
}
] | 2021-09-21 | [
[
"Siu",
"Chapman",
""
],
[
"Traish",
"Jason",
""
],
[
"Da Xu",
"Richard Yi",
""
]
] | This paper introduces Greedy UnMix (GUM) for cooperative multi-agent reinforcement learning (MARL). Greedy UnMix aims to avoid scenarios where MARL methods fail due to overestimation of values as part of the large joint state-action space. It aims to address this through a conservative Q-learning approach through restr... |
2110.01315 | Kritika Prakash | Andrew Trask, Kritika Prakash | Towards General-purpose Infrastructure for Protecting Scientific Data
Under Study | null | null | null | null | cs.CR cs.AI cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | The scientific method presents a key challenge to privacy because it requires
many samples to support a claim. When samples are commercially valuable or
privacy-sensitive enough, their owners have strong reasons to avoid releasing
them for scientific study. Privacy techniques seek to mitigate this tension by
enforcin... | [
{
"created": "Mon, 4 Oct 2021 10:48:38 GMT",
"version": "v1"
}
] | 2021-10-05 | [
[
"Trask",
"Andrew",
""
],
[
"Prakash",
"Kritika",
""
]
] | The scientific method presents a key challenge to privacy because it requires many samples to support a claim. When samples are commercially valuable or privacy-sensitive enough, their owners have strong reasons to avoid releasing them for scientific study. Privacy techniques seek to mitigate this tension by enforcing ... |
2305.08299 | Marcos Kalinowski | Silvio Alonso, Marcos Kalinowski, Bruna Ferreira, Simone D. J.
Barbosa, Helio Lopes | A Systematic Mapping Study and Practitioner Insights on the Use of
Software Engineering Practices to Develop MVPs | null | Information and Software Technology, Volume 156, April 2023,
107144 | 10.1016/j.infsof.2022.107144 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | [Background] The MVP concept has influenced the way in which development
teams apply Software Engineering practices. However, the overall understanding
of this influence of MVPs on SE practices is still poor. [Objective] Our goal
is to characterize the publication landscape on practices that have been used
in the con... | [
{
"created": "Mon, 15 May 2023 02:00:47 GMT",
"version": "v1"
}
] | 2023-05-16 | [
[
"Alonso",
"Silvio",
""
],
[
"Kalinowski",
"Marcos",
""
],
[
"Ferreira",
"Bruna",
""
],
[
"Barbosa",
"Simone D. J.",
""
],
[
"Lopes",
"Helio",
""
]
] | [Background] The MVP concept has influenced the way in which development teams apply Software Engineering practices. However, the overall understanding of this influence of MVPs on SE practices is still poor. [Objective] Our goal is to characterize the publication landscape on practices that have been used in the conte... |
1108.1762 | Yoav Wilf | Michal Feldman and Yoav Wilf | Randomized Strategyproof Mechanisms for Facility Location and the
Mini-Sum-of-Squares Objective | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of locating a public facility on a line, where a set
of $n$ strategic agents report their \emph{locations} and a mechanism
determines, either deterministically or randomly, the location of the facility.
Game theoretic perspectives of the facility location problem advanced in two
main direction... | [
{
"created": "Mon, 8 Aug 2011 17:47:11 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Apr 2012 19:33:10 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Jul 2012 18:06:25 GMT",
"version": "v3"
},
{
"created": "Sat, 26 Oct 2013 20:34:06 GMT",
"version": "v4"
}
] | 2013-10-29 | [
[
"Feldman",
"Michal",
""
],
[
"Wilf",
"Yoav",
""
]
] | We consider the problem of locating a public facility on a line, where a set of $n$ strategic agents report their \emph{locations} and a mechanism determines, either deterministically or randomly, the location of the facility. Game theoretic perspectives of the facility location problem advanced in two main directions.... |
2311.09071 | Fei Yuan | Fei Yuan, Shuai Yuan, Zhiyong Wu, Lei Li | How Vocabulary Sharing Facilitates Multilingualism in LLaMA? | ACL-2024 Findings | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs), often show strong performance on English tasks,
while exhibiting limitations on other languages. What is an LLM's multilingual
capability when it is trained only on certain languages? The underlying
mechanism remains unclear. This study endeavors to examine the multilingual
capability of... | [
{
"created": "Wed, 15 Nov 2023 16:13:14 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 06:11:06 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Yuan",
"Fei",
""
],
[
"Yuan",
"Shuai",
""
],
[
"Wu",
"Zhiyong",
""
],
[
"Li",
"Lei",
""
]
] | Large Language Models (LLMs), often show strong performance on English tasks, while exhibiting limitations on other languages. What is an LLM's multilingual capability when it is trained only on certain languages? The underlying mechanism remains unclear. This study endeavors to examine the multilingual capability of L... |
2210.10906 | Stanislas Lauly | Suvodeep Majumder, Stanislas Lauly, Maria Nadejde, Marcello Federico,
Georgiana Dinu | A baseline revisited: Pushing the limits of multi-segment models for
context-aware translation | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the task of contextual translation using multi-segment
models. Specifically we show that increasing model capacity further pushes the
limits of this approach and that deeper models are more suited to capture
context dependencies. Furthermore, improvements observed with larger models can
be transf... | [
{
"created": "Wed, 19 Oct 2022 22:04:25 GMT",
"version": "v1"
},
{
"created": "Fri, 21 Oct 2022 15:50:52 GMT",
"version": "v2"
}
] | 2022-10-24 | [
[
"Majumder",
"Suvodeep",
""
],
[
"Lauly",
"Stanislas",
""
],
[
"Nadejde",
"Maria",
""
],
[
"Federico",
"Marcello",
""
],
[
"Dinu",
"Georgiana",
""
]
] | This paper addresses the task of contextual translation using multi-segment models. Specifically we show that increasing model capacity further pushes the limits of this approach and that deeper models are more suited to capture context dependencies. Furthermore, improvements observed with larger models can be transfer... |
2402.13243 | Bo Jiang | Shaoyu Chen, Bo Jiang, Hao Gao, Bencheng Liao, Qing Xu, Qian Zhang,
Chang Huang, Wenyu Liu, Xinggang Wang | VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic
Planning | Project Page: https://hgao-cv.github.io/VADv2 | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Learning a human-like driving policy from large-scale driving demonstrations
is promising, but the uncertainty and non-deterministic nature of planning make
it challenging. In this work, to cope with the uncertainty problem, we propose
VADv2, an end-to-end driving model based on probabilistic planning. VADv2 takes
mu... | [
{
"created": "Tue, 20 Feb 2024 18:55:09 GMT",
"version": "v1"
}
] | 2024-02-21 | [
[
"Chen",
"Shaoyu",
""
],
[
"Jiang",
"Bo",
""
],
[
"Gao",
"Hao",
""
],
[
"Liao",
"Bencheng",
""
],
[
"Xu",
"Qing",
""
],
[
"Zhang",
"Qian",
""
],
[
"Huang",
"Chang",
""
],
[
"Liu",
"Wenyu",
""... | Learning a human-like driving policy from large-scale driving demonstrations is promising, but the uncertainty and non-deterministic nature of planning make it challenging. In this work, to cope with the uncertainty problem, we propose VADv2, an end-to-end driving model based on probabilistic planning. VADv2 takes mult... |
2304.10250 | Wentian Xu | Wentian Xu and Jianbo Jiao | Revisiting Implicit Neural Representations in Low-Level Vision | Published at the ICLR 2023 Neural Fields workshop. Project Webpage:
https://wentxul.github.io/LINR-projectpage | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Implicit Neural Representation (INR) has been emerging in computer vision in
recent years. It has been shown to be effective in parameterising continuous
signals such as dense 3D models from discrete image data, e.g. the neural
radius field (NeRF). However, INR is under-explored in 2D image processing
tasks. Consider... | [
{
"created": "Thu, 20 Apr 2023 12:19:27 GMT",
"version": "v1"
}
] | 2023-04-21 | [
[
"Xu",
"Wentian",
""
],
[
"Jiao",
"Jianbo",
""
]
] | Implicit Neural Representation (INR) has been emerging in computer vision in recent years. It has been shown to be effective in parameterising continuous signals such as dense 3D models from discrete image data, e.g. the neural radius field (NeRF). However, INR is under-explored in 2D image processing tasks. Considerin... |
2304.05492 | Juntao Tan | Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang,
Huan Wang | Towards More Robust and Accurate Sequential Recommendation with
Cascade-guided Adversarial Training | Accepted to present at SIAM International Conference on Data Mining
(SDM24) | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sequential recommendation models, models that learn from chronological
user-item interactions, outperform traditional recommendation models in many
settings. Despite the success of sequential recommendation models, their
robustness has recently come into question. Two properties unique to the nature
of sequential rec... | [
{
"created": "Tue, 11 Apr 2023 20:55:02 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jan 2024 18:37:59 GMT",
"version": "v2"
}
] | 2024-01-17 | [
[
"Tan",
"Juntao",
""
],
[
"Heinecke",
"Shelby",
""
],
[
"Liu",
"Zhiwei",
""
],
[
"Chen",
"Yongjun",
""
],
[
"Zhang",
"Yongfeng",
""
],
[
"Wang",
"Huan",
""
]
] | Sequential recommendation models, models that learn from chronological user-item interactions, outperform traditional recommendation models in many settings. Despite the success of sequential recommendation models, their robustness has recently come into question. Two properties unique to the nature of sequential recom... |
1612.01431 | Mike Thelwall Prof | Mike Thelwall | Three practical field normalised alternative indicator formulae for
research evaluation | Thelwall, M. (in press). Three practical field normalised alternative
indicator formulae for research evaluation. Journal of Informetrics.
doi:10.1016/j.joi.2016.12.002 Changes from the previous version are
highlighted in yellow | null | 10.1016/j.joi.2016.12.002 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although altmetrics and other web-based alternative indicators are now
commonplace in publishers' websites, they can be difficult for research
evaluators to use because of the time or expense of the data, the need to
benchmark in order to assess their values, the high proportion of zeros in some
alternative indicator... | [
{
"created": "Mon, 5 Dec 2016 17:02:21 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Dec 2016 12:02:49 GMT",
"version": "v2"
}
] | 2016-12-22 | [
[
"Thelwall",
"Mike",
""
]
] | Although altmetrics and other web-based alternative indicators are now commonplace in publishers' websites, they can be difficult for research evaluators to use because of the time or expense of the data, the need to benchmark in order to assess their values, the high proportion of zeros in some alternative indicators,... |
0804.0352 | \^Hamed \"Owladeghaffari | M.Sharifzadeh, H.Owladeghaffari, K.Shahriar, E.Bakhtavar | Permeability Analysis based on information granulation theory | 8 pages,7 figures | null | null | null | cs.NE cs.AI | http://creativecommons.org/licenses/by/3.0/ | This paper describes application of information granulation theory, on the
analysis of "lugeon data". In this manner, using a combining of Self Organizing
Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are
obtained. Balancing of crisp granules and sub- fuzzy granules, within non fuzzy
inf... | [
{
"created": "Wed, 2 Apr 2008 13:45:51 GMT",
"version": "v1"
}
] | 2008-04-03 | [
[
"Sharifzadeh",
"M.",
""
],
[
"Owladeghaffari",
"H.",
""
],
[
"Shahriar",
"K.",
""
],
[
"Bakhtavar",
"E.",
""
]
] | This paper describes application of information granulation theory, on the analysis of "lugeon data". In this manner, using a combining of Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are obtained. Balancing of crisp granules and sub- fuzzy granules, within non fuzzy infor... |
2407.05480 | Wenxin Zhou | Wenxin Zhou | Biomedical Nested NER with Large Language Model and UMLS Heuristics | Submitted to CEUR-WS for the BioNNE task of BioASQ Lab in Conference
and Labs of the Evaluation Forum (CLEF) 2024 as a working note | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present our system for the BioNNE English track, which aims
to extract 8 types of biomedical nested named entities from biomedical text. We
use a large language model (Mixtral 8x7B instruct) and ScispaCy NER model to
identify entities in an article and build custom heuristics based on unified
medica... | [
{
"created": "Sun, 7 Jul 2024 19:37:40 GMT",
"version": "v1"
}
] | 2024-07-09 | [
[
"Zhou",
"Wenxin",
""
]
] | In this paper, we present our system for the BioNNE English track, which aims to extract 8 types of biomedical nested named entities from biomedical text. We use a large language model (Mixtral 8x7B instruct) and ScispaCy NER model to identify entities in an article and build custom heuristics based on unified medical ... |
1311.6093 | Pushkar Mishra | Pushkar Mishra | A New Algorithm for Updating and Querying Sub-arrays of Multidimensional
Arrays | 14 Pages, 3 Figures, 1 Table | null | 10.13140/RG.2.1.2394.2485 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a $d$-dimensional array $A$, an update operation adds a given constant
$C$ to each element within a continuous sub-array of $A$. A query operation
computes the sum of all the elements within a continuous sub-array of $A$. The
one-dimensional update and query handling problem has been studied intensively
and is ... | [
{
"created": "Sun, 24 Nov 2013 08:18:04 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Dec 2013 15:28:05 GMT",
"version": "v2"
},
{
"created": "Wed, 4 Dec 2013 17:27:11 GMT",
"version": "v3"
},
{
"created": "Thu, 23 Jan 2014 12:19:36 GMT",
"version": "v4"
},
{
"cre... | 2016-08-05 | [
[
"Mishra",
"Pushkar",
""
]
] | Given a $d$-dimensional array $A$, an update operation adds a given constant $C$ to each element within a continuous sub-array of $A$. A query operation computes the sum of all the elements within a continuous sub-array of $A$. The one-dimensional update and query handling problem has been studied intensively and is us... |
2004.08348 | Thibault Rieutord | Petr Kuznetsov, Thibault Rieutord and Yuan He | An Asynchronous Computability Theorem for Fair Adversaries | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a simple topological characterization of a large class of
fair adversarial models via affine tasks: sub-complexes of the second iteration
of the standard chromatic subdivision. We show that the task computability of a
model in the class is precisely captured by iterations of the corresponding
affi... | [
{
"created": "Fri, 17 Apr 2020 17:09:35 GMT",
"version": "v1"
}
] | 2020-04-20 | [
[
"Kuznetsov",
"Petr",
""
],
[
"Rieutord",
"Thibault",
""
],
[
"He",
"Yuan",
""
]
] | This paper proposes a simple topological characterization of a large class of fair adversarial models via affine tasks: sub-complexes of the second iteration of the standard chromatic subdivision. We show that the task computability of a model in the class is precisely captured by iterations of the corresponding affine... |
2208.02313 | Monika Kwiatkowski | Dominik Kuhnke, Monika Kwiatkowski, Olaf Hellwich | Image-based Detection of Surface Defects in Concrete during Construction | null | null | 10.1007/978-3-658-42796-2_13 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Defects increase the cost and duration of construction projects as they
require significant inspection and documentation efforts. Automating defect
detection could significantly reduce these efforts. This work focuses on
detecting honeycombs, a substantial defect in concrete structures that may
affect structural inte... | [
{
"created": "Wed, 3 Aug 2022 19:05:12 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Dec 2022 15:19:33 GMT",
"version": "v2"
}
] | 2024-05-21 | [
[
"Kuhnke",
"Dominik",
""
],
[
"Kwiatkowski",
"Monika",
""
],
[
"Hellwich",
"Olaf",
""
]
] | Defects increase the cost and duration of construction projects as they require significant inspection and documentation efforts. Automating defect detection could significantly reduce these efforts. This work focuses on detecting honeycombs, a substantial defect in concrete structures that may affect structural integr... |
1811.00511 | Woon Sang Cho | Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley,
Chris Brockett, Mengdi Wang, Jianfeng Gao | Towards Coherent and Cohesive Long-form Text Generation | Selected for spotlight oral presentation at NAACL-HLT 2019 Workshop
on Narrative Understanding | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating coherent and cohesive long-form texts is a challenging task.
Previous works relied on large amounts of human-generated texts to train neural
language models. However, few attempted to explicitly improve neural language
models from the perspectives of coherence and cohesion. In this work, we
propose a new n... | [
{
"created": "Thu, 1 Nov 2018 17:30:50 GMT",
"version": "v1"
},
{
"created": "Wed, 29 May 2019 15:56:31 GMT",
"version": "v2"
}
] | 2019-05-30 | [
[
"Cho",
"Woon Sang",
""
],
[
"Zhang",
"Pengchuan",
""
],
[
"Zhang",
"Yizhe",
""
],
[
"Li",
"Xiujun",
""
],
[
"Galley",
"Michel",
""
],
[
"Brockett",
"Chris",
""
],
[
"Wang",
"Mengdi",
""
],
[
"Gao",
... | Generating coherent and cohesive long-form texts is a challenging task. Previous works relied on large amounts of human-generated texts to train neural language models. However, few attempted to explicitly improve neural language models from the perspectives of coherence and cohesion. In this work, we propose a new neu... |
2307.00493 | Nhat Thanh Tran | Nhat Thanh Tran, Jack Xin | Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence
Time-Series Forecasting | 19 pages (main), 11 pages (appendix), 8 figures | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a fast local-global window-based attention method to accelerate
Informer for long sequence time-series forecasting. While window attention
being local is a considerable computational saving, it lacks the ability to
capture global token information which is compensated by a subsequent Fourier
transform block.... | [
{
"created": "Sun, 2 Jul 2023 06:48:19 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Feb 2024 01:29:54 GMT",
"version": "v2"
},
{
"created": "Wed, 17 Apr 2024 06:37:30 GMT",
"version": "v3"
}
] | 2024-04-18 | [
[
"Tran",
"Nhat Thanh",
""
],
[
"Xin",
"Jack",
""
]
] | We study a fast local-global window-based attention method to accelerate Informer for long sequence time-series forecasting. While window attention being local is a considerable computational saving, it lacks the ability to capture global token information which is compensated by a subsequent Fourier transform block. O... |
2405.13857 | Eman Alashwali | Xiaoxin Shen and Eman Alashwali and Lorrie Faith Cranor | What Do Privacy Advertisements Communicate to Consumers? | This document is the author's manuscript for a paper appeared at the
Proceedings on Privacy Enhancing Technologies 2024(4) | null | null | null | cs.CR cs.CY cs.HC | http://creativecommons.org/licenses/by/4.0/ | When companies release marketing materials aimed at promoting their privacy
practices or highlighting specific privacy features, what do they actually
communicate to consumers? In this paper, we explore the impact of privacy
marketing on: (1) consumers' attitudes toward the organizations providing the
campaigns, (2) ... | [
{
"created": "Wed, 22 May 2024 17:32:04 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Jun 2024 13:04:31 GMT",
"version": "v2"
},
{
"created": "Wed, 24 Jul 2024 10:34:59 GMT",
"version": "v3"
}
] | 2024-07-25 | [
[
"Shen",
"Xiaoxin",
""
],
[
"Alashwali",
"Eman",
""
],
[
"Cranor",
"Lorrie Faith",
""
]
] | When companies release marketing materials aimed at promoting their privacy practices or highlighting specific privacy features, what do they actually communicate to consumers? In this paper, we explore the impact of privacy marketing on: (1) consumers' attitudes toward the organizations providing the campaigns, (2) ov... |
1910.09086 | Jindong Gu | Jindong Gu, Volker Tresp | Contextual Prediction Difference Analysis for Explaining Individual
Image Classifications | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Much effort has been devoted to understanding the decisions of deep neural
networks in recent years. A number of model-aware saliency methods were
proposed to explain individual classification decisions by creating saliency
maps. However, they are not applicable when the parameters and the gradients of
the underlying... | [
{
"created": "Mon, 21 Oct 2019 00:04:22 GMT",
"version": "v1"
},
{
"created": "Sat, 6 Jun 2020 00:41:19 GMT",
"version": "v2"
}
] | 2020-06-09 | [
[
"Gu",
"Jindong",
""
],
[
"Tresp",
"Volker",
""
]
] | Much effort has been devoted to understanding the decisions of deep neural networks in recent years. A number of model-aware saliency methods were proposed to explain individual classification decisions by creating saliency maps. However, they are not applicable when the parameters and the gradients of the underlying m... |
2105.02632 | Han Xu | Han Xu and Zhenjiang Hu | Analytical Differential Calculus with Integration | null | null | null | null | cs.PL | http://creativecommons.org/licenses/by/4.0/ | Differential lambda-calculus was first introduced by Thomas Ehrhard and
Laurent Regnier in 2003. Despite more than 15 years of history, little work has
been done on a differential calculus with integration. In this paper, we shall
propose a differential calculus with integration from programming point of
view. We sho... | [
{
"created": "Thu, 6 May 2021 13:06:55 GMT",
"version": "v1"
},
{
"created": "Fri, 7 May 2021 01:43:31 GMT",
"version": "v2"
}
] | 2021-05-10 | [
[
"Xu",
"Han",
""
],
[
"Hu",
"Zhenjiang",
""
]
] | Differential lambda-calculus was first introduced by Thomas Ehrhard and Laurent Regnier in 2003. Despite more than 15 years of history, little work has been done on a differential calculus with integration. In this paper, we shall propose a differential calculus with integration from programming point of view. We show ... |
2308.02968 | Param Hanji | Param Hanji and Rafa{\l} K. Mantiuk | Robust estimation of exposure ratios in multi-exposure image stacks | 11 pages, 11 figures, journal | Transactions on Computational Imaging, 9, pp.721-731, 2023 | 10.1109/TCI.2023.3301338 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Merging multi-exposure image stacks into a high dynamic range (HDR) image
requires knowledge of accurate exposure times. When exposure times are
inaccurate, for example, when they are extracted from a camera's EXIF metadata,
the reconstructed HDR images reveal banding artifacts at smooth gradients. To
remedy this, we... | [
{
"created": "Sat, 5 Aug 2023 23:42:59 GMT",
"version": "v1"
},
{
"created": "Sat, 12 Aug 2023 10:36:52 GMT",
"version": "v2"
}
] | 2023-08-15 | [
[
"Hanji",
"Param",
""
],
[
"Mantiuk",
"Rafał K.",
""
]
] | Merging multi-exposure image stacks into a high dynamic range (HDR) image requires knowledge of accurate exposure times. When exposure times are inaccurate, for example, when they are extracted from a camera's EXIF metadata, the reconstructed HDR images reveal banding artifacts at smooth gradients. To remedy this, we p... |
2010.04918 | James Koppel | James Koppel, Jackson Kearl, Armando Solar-Lezama | Automatically Deriving Control-Flow Graph Generators from Operational
Semantics | null | null | 10.1145/3547648 | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop the first theory of control-flow graphs from first principles, and
use it to create an algorithm for automatically synthesizing many variants of
control-flow graph generators from a language's operational semantics. Our
approach first introduces a new algorithm for converting a large class of
small-step op... | [
{
"created": "Sat, 10 Oct 2020 06:28:11 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Jul 2022 04:17:02 GMT",
"version": "v2"
}
] | 2022-07-25 | [
[
"Koppel",
"James",
""
],
[
"Kearl",
"Jackson",
""
],
[
"Solar-Lezama",
"Armando",
""
]
] | We develop the first theory of control-flow graphs from first principles, and use it to create an algorithm for automatically synthesizing many variants of control-flow graph generators from a language's operational semantics. Our approach first introduces a new algorithm for converting a large class of small-step oper... |
1603.06850 | Przemys{\l}aw Daca | Przemys{\l}aw Daca, Thomas A. Henzinger, Andrey Kupriyanov | Array Folds Logic | null | null | null | null | cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an extension to the quantifier-free theory of integer arrays which
allows us to express counting. The properties expressible in Array Folds Logic
(AFL) include statements such as "the first array cell contains the array
length," and "the array contains equally many minimal and maximal elements."
These prop... | [
{
"created": "Tue, 22 Mar 2016 16:10:47 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Mar 2016 19:49:04 GMT",
"version": "v2"
},
{
"created": "Thu, 12 May 2016 14:41:29 GMT",
"version": "v3"
}
] | 2016-05-13 | [
[
"Daca",
"Przemysław",
""
],
[
"Henzinger",
"Thomas A.",
""
],
[
"Kupriyanov",
"Andrey",
""
]
] | We present an extension to the quantifier-free theory of integer arrays which allows us to express counting. The properties expressible in Array Folds Logic (AFL) include statements such as "the first array cell contains the array length," and "the array contains equally many minimal and maximal elements." These proper... |
2401.16373 | Calvin Tsay | Joel A. Paulson and Calvin Tsay | Bayesian optimization as a flexible and efficient design framework for
sustainable process systems | 16 pages, 1 figure, 1 table | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian optimization (BO) is a powerful technology for optimizing noisy
expensive-to-evaluate black-box functions, with a broad range of real-world
applications in science, engineering, economics, manufacturing, and beyond. In
this paper, we provide an overview of recent developments, challenges, and
opportunities i... | [
{
"created": "Mon, 29 Jan 2024 18:12:32 GMT",
"version": "v1"
}
] | 2024-01-30 | [
[
"Paulson",
"Joel A.",
""
],
[
"Tsay",
"Calvin",
""
]
] | Bayesian optimization (BO) is a powerful technology for optimizing noisy expensive-to-evaluate black-box functions, with a broad range of real-world applications in science, engineering, economics, manufacturing, and beyond. In this paper, we provide an overview of recent developments, challenges, and opportunities in ... |
2005.11957 | Tianshi Li | Tianshi Li, Jackie (Junrui) Yang, Cori Faklaris, Jennifer King, Yuvraj
Agarwal, Laura Dabbish, Jason I. Hong | Decentralized is not risk-free: Understanding public perceptions of
privacy-utility trade-offs in COVID-19 contact-tracing apps | 21 pages, 8 figures | null | null | null | cs.HC cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contact-tracing apps have potential benefits in helping health authorities to
act swiftly to halt the spread of COVID-19. However, their effectiveness is
heavily dependent on their installation rate, which may be influenced by
people's perceptions of the utility of these apps and any potential privacy
risks due to th... | [
{
"created": "Mon, 25 May 2020 07:50:51 GMT",
"version": "v1"
}
] | 2020-05-26 | [
[
"Li",
"Tianshi",
"",
"Junrui"
],
[
"Jackie",
"",
"",
"Junrui"
],
[
"Yang",
"",
""
],
[
"Faklaris",
"Cori",
""
],
[
"King",
"Jennifer",
""
],
[
"Agarwal",
"Yuvraj",
""
],
[
"Dabbish",
"Laura",
""
]... | Contact-tracing apps have potential benefits in helping health authorities to act swiftly to halt the spread of COVID-19. However, their effectiveness is heavily dependent on their installation rate, which may be influenced by people's perceptions of the utility of these apps and any potential privacy risks due to the ... |
2004.01817 | Xuelu Li | Xuelu Li and Vishal Monga | Group Based Deep Shared Feature Learning for Fine-grained Image
Classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fine-grained image classification has emerged as a significant challenge
because objects in such images have small inter-class visual differences but
with large variations in pose, lighting, and viewpoints, etc. Most existing
work focuses on highly customized feature extraction via deep network
architectures which ha... | [
{
"created": "Sat, 4 Apr 2020 00:01:11 GMT",
"version": "v1"
}
] | 2020-04-07 | [
[
"Li",
"Xuelu",
""
],
[
"Monga",
"Vishal",
""
]
] | Fine-grained image classification has emerged as a significant challenge because objects in such images have small inter-class visual differences but with large variations in pose, lighting, and viewpoints, etc. Most existing work focuses on highly customized feature extraction via deep network architectures which have... |
1404.3407 | Ruslan Shevchenko | Ruslan Shevchenko | Annotated imports | null | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Presented simple extensions to scala language related to import statements:
exported imports, which provide ability to reuse sequence of import clauses in
composable form and default rewriters, which provide mechanism for pluggable
macro-based AST transformation of overall compilation unit, activated by import
of lib... | [
{
"created": "Sun, 13 Apr 2014 18:20:40 GMT",
"version": "v1"
}
] | 2014-04-15 | [
[
"Shevchenko",
"Ruslan",
""
]
] | Presented simple extensions to scala language related to import statements: exported imports, which provide ability to reuse sequence of import clauses in composable form and default rewriters, which provide mechanism for pluggable macro-based AST transformation of overall compilation unit, activated by import of libra... |
1903.11782 | Hamed Pezeshki | Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, and J. Nicholas
Laneman | Anywhere Decoding: Low-Overhead Uplink Interference Management for
Wireless Networks | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inter-cell interference (ICI) is one of the major performance-limiting
factors in the context of modern cellular systems. To tackle ICI, coordinated
multi-point (CoMP) schemes have been proposed as a key technology for
next-generation mobile communication systems. Although CoMP schemes offer
promising theoretical gai... | [
{
"created": "Thu, 28 Mar 2019 04:34:02 GMT",
"version": "v1"
}
] | 2019-03-29 | [
[
"Pezeshki",
"Hamed",
""
],
[
"Sadeghi",
"Masoumeh",
""
],
[
"Haenggi",
"Martin",
""
],
[
"Laneman",
"J. Nicholas",
""
]
] | Inter-cell interference (ICI) is one of the major performance-limiting factors in the context of modern cellular systems. To tackle ICI, coordinated multi-point (CoMP) schemes have been proposed as a key technology for next-generation mobile communication systems. Although CoMP schemes offer promising theoretical gains... |
2107.09257 | Raunak Srivastava | Raunak Srivastava, Roshan Sah and Kaushik Das | Attitude and In-orbit Residual Magnetic Moment Estimation of Small
Satellites Using only Magnetometer | 10 pages, 8 figures, Accepted in Small Satellite conference 2021 | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Attitude estimation or determination is a fundamental task for satellites to
remain effectively operational. This task is furthermore complicated on small
satellites by the limited space and computational power available on-board.
This, coupled with a usually low budget, restricts small satellites from using
high pre... | [
{
"created": "Tue, 20 Jul 2021 04:31:29 GMT",
"version": "v1"
}
] | 2021-07-21 | [
[
"Srivastava",
"Raunak",
""
],
[
"Sah",
"Roshan",
""
],
[
"Das",
"Kaushik",
""
]
] | Attitude estimation or determination is a fundamental task for satellites to remain effectively operational. This task is furthermore complicated on small satellites by the limited space and computational power available on-board. This, coupled with a usually low budget, restricts small satellites from using high preci... |
cs/0510003 | Giuseppe Abreu | Giuseppe Thadeu Freitas de Abreu | Generalized ABBA Space-Time Block Codes | 47 pages, 6 figures, Matlab codes included | null | null | null | cs.IT math.IT | null | Linear space-time block codes (STBCs) of unitary rate and full diversity,
systematically constructed over arbitrary constellations for any number of
transmit antennas are introduced. The codes are obtained by generalizing the
existing ABBA STBCs, a.k.a quasi-orthogonal STBCs (QO-STBCs). Furthermore, a
fully orthogona... | [
{
"created": "Sun, 2 Oct 2005 14:10:11 GMT",
"version": "v1"
}
] | 2007-07-13 | [
[
"de Abreu",
"Giuseppe Thadeu Freitas",
""
]
] | Linear space-time block codes (STBCs) of unitary rate and full diversity, systematically constructed over arbitrary constellations for any number of transmit antennas are introduced. The codes are obtained by generalizing the existing ABBA STBCs, a.k.a quasi-orthogonal STBCs (QO-STBCs). Furthermore, a fully orthogonal ... |
1910.02120 | Cameron R. Wolfe | Binhang Yuan and Cameron R. Wolfe and Chen Dun and Yuxin Tang and
Anastasios Kyrillidis and Christopher M. Jermaine | Distributed Learning of Deep Neural Networks using Independent Subnet
Training | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed machine learning (ML) can bring more computational resources to
bear than single-machine learning, thus enabling reductions in training time.
Distributed learning partitions models and data over many machines, allowing
model and dataset sizes beyond the available compute power and memory of a
single machi... | [
{
"created": "Fri, 4 Oct 2019 19:46:16 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Feb 2020 20:01:11 GMT",
"version": "v2"
},
{
"created": "Wed, 4 Mar 2020 02:17:29 GMT",
"version": "v3"
},
{
"created": "Mon, 8 Jun 2020 23:29:57 GMT",
"version": "v4"
},
{
"creat... | 2022-04-20 | [
[
"Yuan",
"Binhang",
""
],
[
"Wolfe",
"Cameron R.",
""
],
[
"Dun",
"Chen",
""
],
[
"Tang",
"Yuxin",
""
],
[
"Kyrillidis",
"Anastasios",
""
],
[
"Jermaine",
"Christopher M.",
""
]
] | Distributed machine learning (ML) can bring more computational resources to bear than single-machine learning, thus enabling reductions in training time. Distributed learning partitions models and data over many machines, allowing model and dataset sizes beyond the available compute power and memory of a single machine... |
1505.00278 | Michal \v{C}ertick\'y | Bj\"orn Persson Mattsson, Tom\'a\v{s} Vajda, Michal \v{C}ertick\'y | Automatic Observer Script for StarCraft: Brood War Bot Games (technical
report) | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This short report describes an automated BWAPI-based script developed for
live streams of a StarCraft Brood War bot tournament, SSCAIT. The script
controls the in-game camera in order to follow the relevant events and improve
the viewer experience. We enumerate its novel features and provide a few
implementation note... | [
{
"created": "Fri, 1 May 2015 20:41:19 GMT",
"version": "v1"
}
] | 2015-05-05 | [
[
"Mattsson",
"Björn Persson",
""
],
[
"Vajda",
"Tomáš",
""
],
[
"Čertický",
"Michal",
""
]
] | This short report describes an automated BWAPI-based script developed for live streams of a StarCraft Brood War bot tournament, SSCAIT. The script controls the in-game camera in order to follow the relevant events and improve the viewer experience. We enumerate its novel features and provide a few implementation notes. |
2105.14105 | Dominik Schildknecht | Dominik Schildknecht, Anastasia N. Popova, Jack Stellwagen, Matt
Thomson | Reinforcement Learning reveals fundamental limits on the mixing of
active particles | null | Soft Matter, 2022 | 10.1039/D1SM01400E | null | cs.LG cs.SY eess.SY nlin.AO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The control of far-from-equilibrium physical systems, including active
materials, has emerged as an important area for the application of
reinforcement learning (RL) strategies to derive control policies for physical
systems. In active materials, non-linear dynamics and long-range interactions
between particles prohi... | [
{
"created": "Fri, 28 May 2021 21:04:55 GMT",
"version": "v1"
}
] | 2021-12-23 | [
[
"Schildknecht",
"Dominik",
""
],
[
"Popova",
"Anastasia N.",
""
],
[
"Stellwagen",
"Jack",
""
],
[
"Thomson",
"Matt",
""
]
] | The control of far-from-equilibrium physical systems, including active materials, has emerged as an important area for the application of reinforcement learning (RL) strategies to derive control policies for physical systems. In active materials, non-linear dynamics and long-range interactions between particles prohibi... |
1704.04218 | Samuel Coogan | Samuel Coogan | A Contractive Approach to Separable Lyapunov Functions for Monotone
Systems | arXiv admin note: text overlap with arXiv:1609.06258 | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Monotone systems preserve a partial ordering of states along system
trajectories and are often amenable to separable Lyapunov functions that are
either the sum or the maximum of a collection of functions of a scalar
argument. In this paper, we consider constructing separable Lyapunov functions
for monotone systems th... | [
{
"created": "Thu, 13 Apr 2017 17:32:57 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Oct 2017 22:41:17 GMT",
"version": "v2"
}
] | 2017-10-26 | [
[
"Coogan",
"Samuel",
""
]
] | Monotone systems preserve a partial ordering of states along system trajectories and are often amenable to separable Lyapunov functions that are either the sum or the maximum of a collection of functions of a scalar argument. In this paper, we consider constructing separable Lyapunov functions for monotone systems that... |
2206.05988 | Shoki Miyagawa | Shoki Miyagawa, Atsuyoshi Yano, Naoko Sawada and Isamu Ogawa | High-Dimensional Bayesian Optimization with Constraints: Application to
Powder Weighing | 14 pages, 6 figures, accepted to PDPTA 2022 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bayesian optimization works effectively optimizing parameters in black-box
problems. However, this method did not work for high-dimensional parameters in
limited trials. Parameters can be efficiently explored by nonlinearly embedding
them into a low-dimensional space; however, the constraints cannot be
considered. We... | [
{
"created": "Mon, 13 Jun 2022 09:14:06 GMT",
"version": "v1"
}
] | 2022-06-14 | [
[
"Miyagawa",
"Shoki",
""
],
[
"Yano",
"Atsuyoshi",
""
],
[
"Sawada",
"Naoko",
""
],
[
"Ogawa",
"Isamu",
""
]
] | Bayesian optimization works effectively optimizing parameters in black-box problems. However, this method did not work for high-dimensional parameters in limited trials. Parameters can be efficiently explored by nonlinearly embedding them into a low-dimensional space; however, the constraints cannot be considered. We p... |
1905.10990 | Frederik Diehl | Frederik Diehl | Edge Contraction Pooling for Graph Neural Networks | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Network (GNN) research has concentrated on improving
convolutional layers, with little attention paid to developing graph pooling
layers. Yet pooling layers can enable GNNs to reason over abstracted groups of
nodes instead of single nodes. To close this gap, we propose a graph pooling
layer relying on th... | [
{
"created": "Mon, 27 May 2019 06:18:24 GMT",
"version": "v1"
}
] | 2019-05-28 | [
[
"Diehl",
"Frederik",
""
]
] | Graph Neural Network (GNN) research has concentrated on improving convolutional layers, with little attention paid to developing graph pooling layers. Yet pooling layers can enable GNNs to reason over abstracted groups of nodes instead of single nodes. To close this gap, we propose a graph pooling layer relying on the ... |
2104.04733 | Nadeem Yousaf | Nadeem Yousaf, Sarfaraz Hussein, Waqas Sultani | Estimation of BMI from Facial Images using Semantic Segmentation based
Region-Aware Pooling | Accepted for publication in computers in biology and medicine | Computers in Biology and Medicine Volume 133, June 2021, Pages
104392 | 10.1016/j.compbiomed.2021.104392 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Body-Mass-Index (BMI) conveys important information about one's life such as
health and socio-economic conditions. Large-scale automatic estimation of BMIs
can help predict several societal behaviors such as health, job opportunities,
friendships, and popularity. The recent works have either employed hand-crafted
geo... | [
{
"created": "Sat, 10 Apr 2021 10:53:21 GMT",
"version": "v1"
}
] | 2021-04-26 | [
[
"Yousaf",
"Nadeem",
""
],
[
"Hussein",
"Sarfaraz",
""
],
[
"Sultani",
"Waqas",
""
]
] | Body-Mass-Index (BMI) conveys important information about one's life such as health and socio-economic conditions. Large-scale automatic estimation of BMIs can help predict several societal behaviors such as health, job opportunities, friendships, and popularity. The recent works have either employed hand-crafted geome... |
2404.08997 | Ryan Cotterell | Ryan Cotterell, Thomas M\"uller, Alexander Fraser, Hinrich Sch\"utze | Labeled Morphological Segmentation with Semi-Markov Models | CoNLL 2015 | null | 10.18653/v1/K15-1017 | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We present labeled morphological segmentation, an alternative view of
morphological processing that unifies several tasks. From an annotation
standpoint, we additionally introduce a new hierarchy of morphotactic tagsets.
Finally, we develop \modelname, a discriminative morphological segmentation
system that, contrary... | [
{
"created": "Sat, 13 Apr 2024 12:51:53 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Cotterell",
"Ryan",
""
],
[
"Müller",
"Thomas",
""
],
[
"Fraser",
"Alexander",
""
],
[
"Schütze",
"Hinrich",
""
]
] | We present labeled morphological segmentation, an alternative view of morphological processing that unifies several tasks. From an annotation standpoint, we additionally introduce a new hierarchy of morphotactic tagsets. Finally, we develop \modelname, a discriminative morphological segmentation system that, contrary t... |
2212.11484 | Zohreh Azizi | Zohreh Azizi, C.-C. Jay Kuo | SALVE: Self-supervised Adaptive Low-light Video Enhancement | 12 pages, 7 figures, 4 tables | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A self-supervised adaptive low-light video enhancement method, called SALVE,
is proposed in this work. SALVE first enhances a few key frames of an input
low-light video using a retinex-based low-light image enhancement technique.
For each keyframe, it learns a mapping from low-light image patches to enhanced
ones via... | [
{
"created": "Thu, 22 Dec 2022 05:00:18 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Feb 2023 02:37:05 GMT",
"version": "v2"
}
] | 2023-02-23 | [
[
"Azizi",
"Zohreh",
""
],
[
"Kuo",
"C. -C. Jay",
""
]
] | A self-supervised adaptive low-light video enhancement method, called SALVE, is proposed in this work. SALVE first enhances a few key frames of an input low-light video using a retinex-based low-light image enhancement technique. For each keyframe, it learns a mapping from low-light image patches to enhanced ones via r... |
0912.2303 | Kadirvelu SivaKumar | Ratish Agarwal, Dr. Mahesh Motwani | Survey of clustering algorithms for MANET | null | IJCSE Volume 1 Issue 2 2009 98-104 | null | null | cs.DC cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many clustering schemes have been proposed for ad hoc networks. A systematic
classification of these clustering schemes enables one to better understand and
make improvements. In mobile ad hoc networks, the movement of the network nodes
may quickly change the topology resulting in the increase of the overhead
message... | [
{
"created": "Fri, 11 Dec 2009 18:17:40 GMT",
"version": "v1"
}
] | 2009-12-14 | [
[
"Agarwal",
"Ratish",
""
],
[
"Motwani",
"Dr. Mahesh",
""
]
] | Many clustering schemes have been proposed for ad hoc networks. A systematic classification of these clustering schemes enables one to better understand and make improvements. In mobile ad hoc networks, the movement of the network nodes may quickly change the topology resulting in the increase of the overhead message i... |
2201.04425 | Pavlo Mykytyn | Pavlo Mykytyn, Marcin Brzozowski, Zoya Dyka and Peter Langendoerfer | Jamming Detection for IR-UWB Ranging Technology in Autonomous UAV Swarms | 6 pages, 1 figure | 2021 10th MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, p. 81-86 | 10.1109/MECO52532.2021.9460250 | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Jamming is a form of the Denial of Service (J-DoS) attack. It is a
significant threat that causes malfunction in Unmanned Aerial Vehicle systems,
especially when used in hostile environments. The attackers mainly operate in
the wireless communication environment by following a few preexisting
scenarios. In this paper... | [
{
"created": "Wed, 12 Jan 2022 11:45:32 GMT",
"version": "v1"
}
] | 2022-01-13 | [
[
"Mykytyn",
"Pavlo",
""
],
[
"Brzozowski",
"Marcin",
""
],
[
"Dyka",
"Zoya",
""
],
[
"Langendoerfer",
"Peter",
""
]
] | Jamming is a form of the Denial of Service (J-DoS) attack. It is a significant threat that causes malfunction in Unmanned Aerial Vehicle systems, especially when used in hostile environments. The attackers mainly operate in the wireless communication environment by following a few preexisting scenarios. In this paper, ... |
1803.01768 | Wei Hu | Sanjeev Arora, Wei Hu, Pravesh K. Kothari | An Analysis of the t-SNE Algorithm for Data Visualization | In Conference on Learning Theory (COLT) 2018 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A first line of attack in exploratory data analysis is data visualization,
i.e., generating a 2-dimensional representation of data that makes clusters of
similar points visually identifiable. Standard Johnson-Lindenstrauss
dimensionality reduction does not produce data visualizations. The t-SNE
heuristic of van der M... | [
{
"created": "Mon, 5 Mar 2018 16:48:58 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jun 2018 19:27:28 GMT",
"version": "v2"
}
] | 2018-06-08 | [
[
"Arora",
"Sanjeev",
""
],
[
"Hu",
"Wei",
""
],
[
"Kothari",
"Pravesh K.",
""
]
] | A first line of attack in exploratory data analysis is data visualization, i.e., generating a 2-dimensional representation of data that makes clusters of similar points visually identifiable. Standard Johnson-Lindenstrauss dimensionality reduction does not produce data visualizations. The t-SNE heuristic of van der Maa... |
2001.05755 | Eden Belouadah | Eden Belouadah and Adrian Popescu | ScaIL: Classifier Weights Scaling for Class Incremental Learning | 8 pages, 4 figures, 2 tables, accepted in WACV2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Incremental learning is useful if an AI agent needs to integrate data from a
stream. The problem is non trivial if the agent runs on a limited computational
budget and has a bounded memory of past data. In a deep learning approach, the
constant computational budget requires the use of a fixed architecture for all
inc... | [
{
"created": "Thu, 16 Jan 2020 12:10:45 GMT",
"version": "v1"
}
] | 2020-01-17 | [
[
"Belouadah",
"Eden",
""
],
[
"Popescu",
"Adrian",
""
]
] | Incremental learning is useful if an AI agent needs to integrate data from a stream. The problem is non trivial if the agent runs on a limited computational budget and has a bounded memory of past data. In a deep learning approach, the constant computational budget requires the use of a fixed architecture for all incre... |
2205.02764 | Sahraoui Dhelim Dr | Sahraoui Dhelim, Tahar Kechadi, Liming Chen, Nyothiri Aung, Huansheng
Ning and Luigi Atzori | Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge
Computing | Submitted to IEEE IoTJ | null | null | null | cs.DC cs.AI cs.NI cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Metaverse is a virtual environment where users are represented by avatars
to navigate a virtual world, which has strong links with the physical one.
State-of-the-art Metaverse architectures rely on a cloud-based approach for
avatar physics emulation and graphics rendering computation. Such centralized
design is u... | [
{
"created": "Wed, 13 Apr 2022 11:38:57 GMT",
"version": "v1"
}
] | 2022-05-06 | [
[
"Dhelim",
"Sahraoui",
""
],
[
"Kechadi",
"Tahar",
""
],
[
"Chen",
"Liming",
""
],
[
"Aung",
"Nyothiri",
""
],
[
"Ning",
"Huansheng",
""
],
[
"Atzori",
"Luigi",
""
]
] | The Metaverse is a virtual environment where users are represented by avatars to navigate a virtual world, which has strong links with the physical one. State-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design is unf... |
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