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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2406.08085 | Yiqin Wang | Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Jifeng
Dai, Xiaojie Jin | Flash-VStream: Memory-Based Real-Time Understanding for Long Video
Streams | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Benefiting from the advancements in large language models and cross-modal
alignment, existing multi-modal video understanding methods have achieved
prominent performance in offline scenario. However, online video streams, as
one of the most common media forms in the real world, have seldom received
attention. Compare... | [
{
"created": "Wed, 12 Jun 2024 11:07:55 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Jun 2024 05:39:46 GMT",
"version": "v2"
}
] | 2024-07-02 | [
[
"Zhang",
"Haoji",
""
],
[
"Wang",
"Yiqin",
""
],
[
"Tang",
"Yansong",
""
],
[
"Liu",
"Yong",
""
],
[
"Feng",
"Jiashi",
""
],
[
"Dai",
"Jifeng",
""
],
[
"Jin",
"Xiaojie",
""
]
] | Benefiting from the advancements in large language models and cross-modal alignment, existing multi-modal video understanding methods have achieved prominent performance in offline scenario. However, online video streams, as one of the most common media forms in the real world, have seldom received attention. Compared ... |
2008.10316 | Maximilian B\"other | Thomas Bl\"asius and Maximilian B\"other and Philipp Fischbeck and
Tobias Friedrich and Alina Gries and Falk H\"uffner and Otto Ki{\ss}ig and
Pascal Lenzner and Louise Molitor and Leon Schiller and Armin Wells and Simon
Wietheger | A Strategic Routing Framework and Algorithms for Computing Alternative
Paths | 19 pages, 7 figures, full version of paper accepted at ATMOS 2020 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional navigation services find the fastest route for a single driver.
Though always using the fastest route seems desirable for every individual,
selfish behavior can have undesirable effects such as higher energy consumption
and avoidable congestion, even leading to higher overall and individual travel
times. ... | [
{
"created": "Mon, 24 Aug 2020 10:56:41 GMT",
"version": "v1"
}
] | 2020-08-25 | [
[
"Bläsius",
"Thomas",
""
],
[
"Böther",
"Maximilian",
""
],
[
"Fischbeck",
"Philipp",
""
],
[
"Friedrich",
"Tobias",
""
],
[
"Gries",
"Alina",
""
],
[
"Hüffner",
"Falk",
""
],
[
"Kißig",
"Otto",
""
],
[
... | Traditional navigation services find the fastest route for a single driver. Though always using the fastest route seems desirable for every individual, selfish behavior can have undesirable effects such as higher energy consumption and avoidable congestion, even leading to higher overall and individual travel times. In... |
2004.05575 | Koteswar Rao Jerripothula | Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan | Image Co-skeletonization via Co-segmentation | 13 pages, 12 figures, Submitted to IEEE Transactions on Image
Processing (TIP) | null | null | null | cs.CV cs.MM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in the joint processing of images have certainly shown its
advantages over individual processing. Different from the existing works geared
towards co-segmentation or co-localization, in this paper, we explore a new
joint processing topic: image co-skeletonization, which is defined as joint
skeleton ex... | [
{
"created": "Sun, 12 Apr 2020 09:35:54 GMT",
"version": "v1"
}
] | 2020-04-14 | [
[
"Jerripothula",
"Koteswar Rao",
""
],
[
"Cai",
"Jianfei",
""
],
[
"Lu",
"Jiangbo",
""
],
[
"Yuan",
"Junsong",
""
]
] | Recent advances in the joint processing of images have certainly shown its advantages over individual processing. Different from the existing works geared towards co-segmentation or co-localization, in this paper, we explore a new joint processing topic: image co-skeletonization, which is defined as joint skeleton extr... |
1910.11141 | Alexey Radul | Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman and
Rif A. Saurous | Automatically Batching Control-Intensive Programs for Modern
Accelerators | 10 pages; Machine Learning and Systems 2020 | null | null | null | cs.DC cs.LG cs.PL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present a general approach to batching arbitrary computations for
accelerators such as GPUs. We show orders-of-magnitude speedups using our
method on the No U-Turn Sampler (NUTS), a workhorse algorithm in Bayesian
statistics. The central challenge of batching NUTS and other Markov chain Monte
Carlo algorithms is d... | [
{
"created": "Wed, 23 Oct 2019 14:06:18 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Mar 2020 15:56:56 GMT",
"version": "v2"
}
] | 2020-03-13 | [
[
"Radul",
"Alexey",
""
],
[
"Patton",
"Brian",
""
],
[
"Maclaurin",
"Dougal",
""
],
[
"Hoffman",
"Matthew D.",
""
],
[
"Saurous",
"Rif A.",
""
]
] | We present a general approach to batching arbitrary computations for accelerators such as GPUs. We show orders-of-magnitude speedups using our method on the No U-Turn Sampler (NUTS), a workhorse algorithm in Bayesian statistics. The central challenge of batching NUTS and other Markov chain Monte Carlo algorithms is dat... |
1811.06287 | Michael Werman | Levi Offen and Michael Werman | Sketch based Reduced Memory Hough Transform | 5 pages | 2018 25th IEEE International Conference on Image Processing (ICIP) | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes using sketch algorithms to represent the votes in Hough
transforms. Replacing the accumulator array with a sketch (Sketch Hough
Transform - SHT) significantly reduces the memory needed to compute a Hough
transform. We also present a new sketch, Count Median Update, which works
better than known sk... | [
{
"created": "Thu, 15 Nov 2018 10:44:35 GMT",
"version": "v1"
}
] | 2018-11-16 | [
[
"Offen",
"Levi",
""
],
[
"Werman",
"Michael",
""
]
] | This paper proposes using sketch algorithms to represent the votes in Hough transforms. Replacing the accumulator array with a sketch (Sketch Hough Transform - SHT) significantly reduces the memory needed to compute a Hough transform. We also present a new sketch, Count Median Update, which works better than known sket... |
2407.17738 | Haoran Zhu | Haoran Zhu, Yifan Zhou, Chang Xu, Ruixiang Zhang, and Wen Yang | Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal
Mapping | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fine-Grained Object Detection (FGOD) is a critical task in high-resolution
aerial image analysis. This letter introduces Orthogonal Mapping (OM), a simple
yet effective method aimed at addressing the challenge of semantic confusion
inherent in FGOD. OM introduces orthogonal constraints in the feature space by
decoupl... | [
{
"created": "Thu, 25 Jul 2024 03:26:41 GMT",
"version": "v1"
}
] | 2024-07-26 | [
[
"Zhu",
"Haoran",
""
],
[
"Zhou",
"Yifan",
""
],
[
"Xu",
"Chang",
""
],
[
"Zhang",
"Ruixiang",
""
],
[
"Yang",
"Wen",
""
]
] | Fine-Grained Object Detection (FGOD) is a critical task in high-resolution aerial image analysis. This letter introduces Orthogonal Mapping (OM), a simple yet effective method aimed at addressing the challenge of semantic confusion inherent in FGOD. OM introduces orthogonal constraints in the feature space by decouplin... |
1312.0718 | Yong Zeng | Yong Zeng, Rui Zhang, and Zhi Ning Chen | Electromagnetic Lens-focusing Antenna Enabled Massive MIMO: Performance
Improvement and Cost Reduction | 30 pages, 9 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive multiple-input multiple-output (MIMO) techniques have been recently
advanced to tremendously improve the performance of wireless communication
networks. However, the use of very large antenna arrays at the base stations
(BSs) brings new issues, such as the significantly increased hardware and
signal processin... | [
{
"created": "Tue, 3 Dec 2013 07:14:23 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Mar 2014 14:15:44 GMT",
"version": "v2"
}
] | 2014-03-27 | [
[
"Zeng",
"Yong",
""
],
[
"Zhang",
"Rui",
""
],
[
"Chen",
"Zhi Ning",
""
]
] | Massive multiple-input multiple-output (MIMO) techniques have been recently advanced to tremendously improve the performance of wireless communication networks. However, the use of very large antenna arrays at the base stations (BSs) brings new issues, such as the significantly increased hardware and signal processing ... |
1008.1438 | Ji King | Ji King | Harmonic Analysis and Qualitative Uncertainty Principle | 108 pages,no figures | null | null | null | cs.IT math-ph math.CA math.IT math.MP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the mathematical nature of qualitative uncertainty
principle (QUP), which plays an important role in mathematics, physics and
engineering fields. Consider a 3-tuple (K, H1, H2) that K: H1 -> H2 is an
integral operator. Suppose a signal f in H1, {\Omega}1 and {\Omega}2 are
domains on which f, K... | [
{
"created": "Mon, 9 Aug 2010 01:59:49 GMT",
"version": "v1"
}
] | 2010-08-10 | [
[
"King",
"Ji",
""
]
] | This paper investigates the mathematical nature of qualitative uncertainty principle (QUP), which plays an important role in mathematics, physics and engineering fields. Consider a 3-tuple (K, H1, H2) that K: H1 -> H2 is an integral operator. Suppose a signal f in H1, {\Omega}1 and {\Omega}2 are domains on which f, Kf ... |
2308.10959 | Sijin Wu | Sijin Wu, Dan Zhang, Teng Hu, Shikun Feng | DocPrompt: Large-scale continue pretrain for zero-shot and few-shot
document question answering | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose Docprompt for document question answering tasks
with powerful zero-shot and few-shot performance. We proposed a novel weakly
supervised data generation method, a novel multl-stage training method and a
novel understanding model \& generation model ensemble method. We achieved
state-of-the-ar... | [
{
"created": "Mon, 21 Aug 2023 18:14:00 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Aug 2023 09:14:17 GMT",
"version": "v2"
}
] | 2023-09-01 | [
[
"Wu",
"Sijin",
""
],
[
"Zhang",
"Dan",
""
],
[
"Hu",
"Teng",
""
],
[
"Feng",
"Shikun",
""
]
] | In this paper, we propose Docprompt for document question answering tasks with powerful zero-shot and few-shot performance. We proposed a novel weakly supervised data generation method, a novel multl-stage training method and a novel understanding model \& generation model ensemble method. We achieved state-of-the-art ... |
2402.02055 | Yiping Wang | Yiping Wang, Yifang Chen, Wendan Yan, Kevin Jamieson, Simon Shaolei Du | Variance Alignment Score: A Simple But Tough-to-Beat Data Selection
Method for Multimodal Contrastive Learning | 17 pages, 4 figures | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, data selection has emerged as a core issue for large-scale
visual-language model pretraining, especially on noisy web-curated datasets.
One widely adopted strategy assigns quality scores such as CLIP similarity for
each sample and retains the data pairs with the highest scores. However, these
approac... | [
{
"created": "Sat, 3 Feb 2024 06:29:04 GMT",
"version": "v1"
}
] | 2024-02-06 | [
[
"Wang",
"Yiping",
""
],
[
"Chen",
"Yifang",
""
],
[
"Yan",
"Wendan",
""
],
[
"Jamieson",
"Kevin",
""
],
[
"Du",
"Simon Shaolei",
""
]
] | In recent years, data selection has emerged as a core issue for large-scale visual-language model pretraining, especially on noisy web-curated datasets. One widely adopted strategy assigns quality scores such as CLIP similarity for each sample and retains the data pairs with the highest scores. However, these approache... |
2006.13202 | Oleh Rybkin | Oleh Rybkin, Kostas Daniilidis, Sergey Levine | Simple and Effective VAE Training with Calibrated Decoders | International Conference on Machine Learning (ICML), 2021. Project
website is at https://orybkin.github.io/sigma-vae/ | null | null | null | cs.LG cs.CV eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Variational autoencoders (VAEs) provide an effective and simple method for
modeling complex distributions. However, training VAEs often requires
considerable hyperparameter tuning to determine the optimal amount of
information retained by the latent variable. We study the impact of calibrated
decoders, which learn th... | [
{
"created": "Tue, 23 Jun 2020 17:57:47 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Aug 2020 01:09:15 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Jul 2021 04:06:41 GMT",
"version": "v3"
}
] | 2021-07-13 | [
[
"Rybkin",
"Oleh",
""
],
[
"Daniilidis",
"Kostas",
""
],
[
"Levine",
"Sergey",
""
]
] | Variational autoencoders (VAEs) provide an effective and simple method for modeling complex distributions. However, training VAEs often requires considerable hyperparameter tuning to determine the optimal amount of information retained by the latent variable. We study the impact of calibrated decoders, which learn the ... |
2007.13639 | Pengcheng Xia | Pengcheng Xia, Haoyu Wang, Xiapu Luo, Lei Wu, Yajin Zhou, Guangdong
Bai, Guoai Xu, Gang Huang, Xuanzhe Liu | Don't Fish in Troubled Waters! Characterizing Coronavirus-themed
Cryptocurrency Scams | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As COVID-19 has been spreading across the world since early 2020, a growing
number of malicious campaigns are capitalizing the topic of COVID-19. COVID-19
themed cryptocurrency scams are increasingly popular during the pandemic.
However, these newly emerging scams are poorly understood by our community. In
this paper... | [
{
"created": "Mon, 27 Jul 2020 15:40:05 GMT",
"version": "v1"
},
{
"created": "Sun, 1 Nov 2020 12:43:09 GMT",
"version": "v2"
}
] | 2020-11-03 | [
[
"Xia",
"Pengcheng",
""
],
[
"Wang",
"Haoyu",
""
],
[
"Luo",
"Xiapu",
""
],
[
"Wu",
"Lei",
""
],
[
"Zhou",
"Yajin",
""
],
[
"Bai",
"Guangdong",
""
],
[
"Xu",
"Guoai",
""
],
[
"Huang",
"Gang",
... | As COVID-19 has been spreading across the world since early 2020, a growing number of malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed cryptocurrency scams are increasingly popular during the pandemic. However, these newly emerging scams are poorly understood by our community. In this paper, ... |
2207.08256 | Fajrian Yunus | Fajrian Yunus, Chlo\'e Clavel, Catherine Pelachaud | Representation Learning of Image Schema | null | null | null | null | cs.HC cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image schema is a recurrent pattern of reasoning where one entity is mapped
into another. Image schema is similar to conceptual metaphor and is also
related to metaphoric gesture. Our main goal is to generate metaphoric gestures
for an Embodied Conversational Agent.
We propose a technique to learn the vector repres... | [
{
"created": "Sun, 17 Jul 2022 18:42:37 GMT",
"version": "v1"
}
] | 2022-07-19 | [
[
"Yunus",
"Fajrian",
""
],
[
"Clavel",
"Chloé",
""
],
[
"Pelachaud",
"Catherine",
""
]
] | Image schema is a recurrent pattern of reasoning where one entity is mapped into another. Image schema is similar to conceptual metaphor and is also related to metaphoric gesture. Our main goal is to generate metaphoric gestures for an Embodied Conversational Agent. We propose a technique to learn the vector representa... |
1404.0408 | Emil Bj\"ornson | Emil Bj\"ornson, Mats Bengtsson, and Bj\"orn Ottersten | Optimal Multiuser Transmit Beamforming: A Difficult Problem with a
Simple Solution Structure | Accepted for publication as lecture note in IEEE Signal Processing
Magazine, 11 pages, 3 figures. The results can be reproduced using the
following Matlab code: https://github.com/emilbjornson/optimal-beamforming | IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July
2014 | 10.1109/MSP.2014.2312183 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transmit beamforming is a versatile technique for signal transmission from an
array of $N$ antennas to one or multiple users [1]. In wireless communications,
the goal is to increase the signal power at the intended user and reduce
interference to non-intended users. A high signal power is achieved by
transmitting the... | [
{
"created": "Tue, 1 Apr 2014 22:01:02 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Apr 2014 09:54:41 GMT",
"version": "v2"
}
] | 2014-07-22 | [
[
"Björnson",
"Emil",
""
],
[
"Bengtsson",
"Mats",
""
],
[
"Ottersten",
"Björn",
""
]
] | Transmit beamforming is a versatile technique for signal transmission from an array of $N$ antennas to one or multiple users [1]. In wireless communications, the goal is to increase the signal power at the intended user and reduce interference to non-intended users. A high signal power is achieved by transmitting the s... |
1411.6741 | Chaitanya Ahuja | Chaitanya Ahuja, Karan Nathwani and Rajesh M. Hegde | A Complex Matrix Factorization approach to Joint Modeling of Magnitude
and Phase for Source Separation | 5 pages, 3 figures | null | null | null | cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conventional NMF methods for source separation factorize the matrix of
spectral magnitudes. Spectral Phase is not included in the decomposition
process of these methods. However, phase of the speech mixture is generally
used in reconstructing the target speech signal. This results in undesired
traces of interfering s... | [
{
"created": "Tue, 25 Nov 2014 06:18:45 GMT",
"version": "v1"
}
] | 2014-11-26 | [
[
"Ahuja",
"Chaitanya",
""
],
[
"Nathwani",
"Karan",
""
],
[
"Hegde",
"Rajesh M.",
""
]
] | Conventional NMF methods for source separation factorize the matrix of spectral magnitudes. Spectral Phase is not included in the decomposition process of these methods. However, phase of the speech mixture is generally used in reconstructing the target speech signal. This results in undesired traces of interfering sou... |
1902.06007 | Andrew Silva | Andrew Silva, Matthew Gombolay | Neural-encoding Human Experts' Domain Knowledge to Warm Start
Reinforcement Learning | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep reinforcement learning has been successful in a variety of tasks, such
as game playing and robotic manipulation. However, attempting to learn
\textit{tabula rasa} disregards the logical structure of many domains as well
as the wealth of readily available knowledge from domain experts that could
help "warm start"... | [
{
"created": "Fri, 15 Feb 2019 23:28:59 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jul 2019 14:23:30 GMT",
"version": "v2"
},
{
"created": "Mon, 2 Dec 2019 17:47:06 GMT",
"version": "v3"
},
{
"created": "Wed, 23 Sep 2020 22:17:29 GMT",
"version": "v4"
}
] | 2020-09-25 | [
[
"Silva",
"Andrew",
""
],
[
"Gombolay",
"Matthew",
""
]
] | Deep reinforcement learning has been successful in a variety of tasks, such as game playing and robotic manipulation. However, attempting to learn \textit{tabula rasa} disregards the logical structure of many domains as well as the wealth of readily available knowledge from domain experts that could help "warm start" t... |
2312.03567 | Joel Stremmel | Joel Stremmel, Ardavan Saeedi, Hamid Hassanzadeh, Sanjit Batra,
Jeffrey Hertzberg, Jaime Murillo, Eran Halperin | XAIQA: Explainer-Based Data Augmentation for Extractive Question
Answering | Extended Abstract presented at Machine Learning for Health (ML4H)
symposium 2023, December 10th, 2023, New Orleans, United States, 8 pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Extractive question answering (QA) systems can enable physicians and
researchers to query medical records, a foundational capability for designing
clinical studies and understanding patient medical history. However, building
these systems typically requires expert-annotated QA pairs. Large language
models (LLMs), whi... | [
{
"created": "Wed, 6 Dec 2023 15:59:06 GMT",
"version": "v1"
}
] | 2023-12-07 | [
[
"Stremmel",
"Joel",
""
],
[
"Saeedi",
"Ardavan",
""
],
[
"Hassanzadeh",
"Hamid",
""
],
[
"Batra",
"Sanjit",
""
],
[
"Hertzberg",
"Jeffrey",
""
],
[
"Murillo",
"Jaime",
""
],
[
"Halperin",
"Eran",
""
]
] | Extractive question answering (QA) systems can enable physicians and researchers to query medical records, a foundational capability for designing clinical studies and understanding patient medical history. However, building these systems typically requires expert-annotated QA pairs. Large language models (LLMs), which... |
2205.13280 | Chengyu Qiao | Chengyu Qiao, Zhiyu Xiang and Xinglu Wang | Objects Matter: Learning Object Relation Graph for Robust Camera
Relocalization | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual relocalization aims to estimate the pose of a camera from one or more
images. In recent years deep learning based pose regression methods have
attracted many attentions. They feature predicting the absolute poses without
relying on any prior built maps or stored images, making the relocalization
very efficient... | [
{
"created": "Thu, 26 May 2022 11:37:11 GMT",
"version": "v1"
}
] | 2022-05-27 | [
[
"Qiao",
"Chengyu",
""
],
[
"Xiang",
"Zhiyu",
""
],
[
"Wang",
"Xinglu",
""
]
] | Visual relocalization aims to estimate the pose of a camera from one or more images. In recent years deep learning based pose regression methods have attracted many attentions. They feature predicting the absolute poses without relying on any prior built maps or stored images, making the relocalization very efficient. ... |
2004.11568 | Ryan Mann | Ryan L. Mann, Tyler Helmuth | Efficient Algorithms for Approximating Quantum Partition Functions | 7 pages, 0 figures, published version | Journal of Mathematical Physics 62, 022201 (2021) | 10.1063/5.0013689 | null | cs.DS cs.CC math.CO quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We establish a polynomial-time approximation algorithm for partition
functions of quantum spin models at high temperature. Our algorithm is based on
the quantum cluster expansion of Neto\v{c}n\'y and Redig and the cluster
expansion approach to designing algorithms due to Helmuth, Perkins, and Regts.
Similar results h... | [
{
"created": "Fri, 24 Apr 2020 07:21:43 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Feb 2021 13:59:44 GMT",
"version": "v2"
}
] | 2021-02-02 | [
[
"Mann",
"Ryan L.",
""
],
[
"Helmuth",
"Tyler",
""
]
] | We establish a polynomial-time approximation algorithm for partition functions of quantum spin models at high temperature. Our algorithm is based on the quantum cluster expansion of Neto\v{c}n\'y and Redig and the cluster expansion approach to designing algorithms due to Helmuth, Perkins, and Regts. Similar results hav... |
1601.07932 | Keehwan Park | Keehwan Park and Jean Honorio | Information-Theoretic Lower Bounds for Recovery of Diffusion Network
Structures | ISIT'16 | International Symposium on Information Theory (ISIT) 2016 | null | null | cs.LG cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the information-theoretic lower bound of the sample complexity of
the correct recovery of diffusion network structures. We introduce a
discrete-time diffusion model based on the Independent Cascade model for which
we obtain a lower bound of order $\Omega(k \log p)$, for directed graphs of $p$
nodes, and at m... | [
{
"created": "Thu, 28 Jan 2016 22:12:06 GMT",
"version": "v1"
},
{
"created": "Mon, 23 May 2016 23:29:19 GMT",
"version": "v2"
}
] | 2019-05-28 | [
[
"Park",
"Keehwan",
""
],
[
"Honorio",
"Jean",
""
]
] | We study the information-theoretic lower bound of the sample complexity of the correct recovery of diffusion network structures. We introduce a discrete-time diffusion model based on the Independent Cascade model for which we obtain a lower bound of order $\Omega(k \log p)$, for directed graphs of $p$ nodes, and at mos... |
1902.07762 | Ondrej Skopek | Lukas Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu | Adversarial Augmentation for Enhancing Classification of Mammography
Images | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Supervised deep learning relies on the assumption that enough training data
is available, which presents a problem for its application to several fields,
like medical imaging. On the example of a binary image classification task
(breast cancer recognition), we show that pretraining a generative model for
meaningful i... | [
{
"created": "Wed, 20 Feb 2019 20:13:24 GMT",
"version": "v1"
}
] | 2019-02-22 | [
[
"Jendele",
"Lukas",
""
],
[
"Skopek",
"Ondrej",
""
],
[
"Becker",
"Anton S.",
""
],
[
"Konukoglu",
"Ender",
""
]
] | Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging. On the example of a binary image classification task (breast cancer recognition), we show that pretraining a generative model for meaningful ima... |
2301.05466 | Liwang Zhu | Liwang Zhu and Zhongzhi Zhang | A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social
Networks | null | Proceedings of the ACM SIGKDD Conference on Knowledge Discovery
and Data Mining 2022, pp.2648-2656 | 10.1145/3534678.3539469 | null | cs.SI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Concomitant with the tremendous prevalence of online social media platforms,
the interactions among individuals are unprecedentedly enhanced. People are
free to interact with acquaintances, express and exchange their own opinions
through commenting, liking, retweeting on online social media, leading to
resistance, co... | [
{
"created": "Fri, 13 Jan 2023 10:32:12 GMT",
"version": "v1"
}
] | 2023-01-16 | [
[
"Zhu",
"Liwang",
""
],
[
"Zhang",
"Zhongzhi",
""
]
] | Concomitant with the tremendous prevalence of online social media platforms, the interactions among individuals are unprecedentedly enhanced. People are free to interact with acquaintances, express and exchange their own opinions through commenting, liking, retweeting on online social media, leading to resistance, cont... |
2403.07593 | Juan Jos\'e Cabrera Mora | J.J. Cabrera, A. Santo, A. Gil, C. Viegas and L. Pay\'a | MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D
Sparse Convolutions | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents MinkUNeXt, an effective and efficient architecture for
place-recognition from point clouds entirely based on the new 3D MinkNeXt
Block, a residual block composed of 3D sparse convolutions that follows the
philosophy established by recent Transformers but purely using simple 3D
convolutions. Featur... | [
{
"created": "Tue, 12 Mar 2024 12:25:54 GMT",
"version": "v1"
},
{
"created": "Wed, 13 Mar 2024 09:39:14 GMT",
"version": "v2"
}
] | 2024-03-14 | [
[
"Cabrera",
"J. J.",
""
],
[
"Santo",
"A.",
""
],
[
"Gil",
"A.",
""
],
[
"Viegas",
"C.",
""
],
[
"Payá",
"L.",
""
]
] | This paper presents MinkUNeXt, an effective and efficient architecture for place-recognition from point clouds entirely based on the new 3D MinkNeXt Block, a residual block composed of 3D sparse convolutions that follows the philosophy established by recent Transformers but purely using simple 3D convolutions. Feature ... |
1603.08978 | William Waites | William Waites, James Sweet, Roger Baig, Peter Buneman, Marwan Fayed,
Gordon Hughes, Michael Fourman, Richard Simmons | RemIX: A Distributed Internet Exchange for Remote and Rural Networks | null | null | 10.1145/2940157.2940162 | null | cs.NI | http://creativecommons.org/licenses/by-sa/4.0/ | The concept of the IXP, an Ethernet fabric central to the structure of the
global Internet, is largely absent from the development of community-driven
collaborative network infrastructure. The reasons for this are two-fold. IXPs
exist in central, typically urban, environments where strong network
infrastructure ensur... | [
{
"created": "Tue, 29 Mar 2016 21:51:02 GMT",
"version": "v1"
}
] | 2020-06-24 | [
[
"Waites",
"William",
""
],
[
"Sweet",
"James",
""
],
[
"Baig",
"Roger",
""
],
[
"Buneman",
"Peter",
""
],
[
"Fayed",
"Marwan",
""
],
[
"Hughes",
"Gordon",
""
],
[
"Fourman",
"Michael",
""
],
[
"Simm... | The concept of the IXP, an Ethernet fabric central to the structure of the global Internet, is largely absent from the development of community-driven collaborative network infrastructure. The reasons for this are two-fold. IXPs exist in central, typically urban, environments where strong network infrastructure ensures... |
1802.07021 | Yuehong Huang | Yuehong Huang, Yu-Chee Tseng | Fusing Video and Inertial Sensor Data for Walking Person Identification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An autonomous computer system (such as a robot) typically needs to identify,
locate, and track persons appearing in its sight. However, most solutions have
their limitations regarding efficiency, practicability, or environmental
constraints. In this paper, we propose an effective and practical system which
combines v... | [
{
"created": "Tue, 20 Feb 2018 09:16:21 GMT",
"version": "v1"
}
] | 2018-02-21 | [
[
"Huang",
"Yuehong",
""
],
[
"Tseng",
"Yu-Chee",
""
]
] | An autonomous computer system (such as a robot) typically needs to identify, locate, and track persons appearing in its sight. However, most solutions have their limitations regarding efficiency, practicability, or environmental constraints. In this paper, we propose an effective and practical system which combines vid... |
2401.11694 | Patrick Cook | Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean
Lee | Parametric Matrix Models | Exact same content as previous version (v4); corrected author email | null | null | null | cs.LG cond-mat.dis-nn nucl-th physics.comp-ph quant-ph | http://creativecommons.org/licenses/by-sa/4.0/ | We present a general class of machine learning algorithms called parametric
matrix models. In contrast with most existing machine learning models that
imitate the biology of neurons, parametric matrix models use matrix equations
that emulate the physics of quantum systems. Similar to how physics problems
are usually ... | [
{
"created": "Mon, 22 Jan 2024 05:26:18 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Jan 2024 20:06:38 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Jul 2024 19:55:41 GMT",
"version": "v3"
},
{
"created": "Fri, 12 Jul 2024 20:08:17 GMT",
"version": "v4"
},
{
"cr... | 2024-08-01 | [
[
"Cook",
"Patrick",
""
],
[
"Jammooa",
"Danny",
""
],
[
"Hjorth-Jensen",
"Morten",
""
],
[
"Lee",
"Daniel D.",
""
],
[
"Lee",
"Dean",
""
]
] | We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neurons, parametric matrix models use matrix equations that emulate the physics of quantum systems. Similar to how physics problems are usually so... |
2210.07795 | Tiannan Wang | Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang | EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge
Distillation and Modal-adaptive Pruning | work in progress | null | null | null | cs.CL cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-trained vision-language models (VLMs) have achieved impressive results in
a range of vision-language tasks. However, popular VLMs usually consist of
hundreds of millions of parameters which brings challenges for fine-tuning and
deployment in real-world applications due to space, memory, and latency
constraints. I... | [
{
"created": "Fri, 14 Oct 2022 13:26:41 GMT",
"version": "v1"
}
] | 2022-10-17 | [
[
"Wang",
"Tiannan",
""
],
[
"Zhou",
"Wangchunshu",
""
],
[
"Zeng",
"Yan",
""
],
[
"Zhang",
"Xinsong",
""
]
] | Pre-trained vision-language models (VLMs) have achieved impressive results in a range of vision-language tasks. However, popular VLMs usually consist of hundreds of millions of parameters which brings challenges for fine-tuning and deployment in real-world applications due to space, memory, and latency constraints. In ... |
1303.6017 | Zhouyun Wu | Zhouyun Wu, Aiping Huang, and Hsiao-Hwa Chen | Scrambling Code Planning in TD-SCDMA Systems | This paper has been withdrawn | null | null | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper has been withdrawn by the author due to a crucial sign error in
equation 2.
| [
{
"created": "Mon, 25 Mar 2013 02:31:32 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Mar 2013 10:05:47 GMT",
"version": "v2"
}
] | 2013-04-02 | [
[
"Wu",
"Zhouyun",
""
],
[
"Huang",
"Aiping",
""
],
[
"Chen",
"Hsiao-Hwa",
""
]
] | This paper has been withdrawn by the author due to a crucial sign error in equation 2. |
2005.06645 | Michael Vaughn | Michael Vaughn and Thomas Reps | A Generating-Extension-Generator for Machine Code | 21 pages, 8 Figures Fixed inclusion of LaTeX macro in plaintext
abstract | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of "debloating" programs for security and performance purposes
has begun to see increased attention. Of particular interest in many
environments is debloating commodity off-the-shelf (COTS) software, which is
most commonly made available to end users as stripped binaries (i.e., neither
source code nor sym... | [
{
"created": "Wed, 13 May 2020 22:19:04 GMT",
"version": "v1"
},
{
"created": "Fri, 15 May 2020 00:53:30 GMT",
"version": "v2"
}
] | 2020-05-18 | [
[
"Vaughn",
"Michael",
""
],
[
"Reps",
"Thomas",
""
]
] | The problem of "debloating" programs for security and performance purposes has begun to see increased attention. Of particular interest in many environments is debloating commodity off-the-shelf (COTS) software, which is most commonly made available to end users as stripped binaries (i.e., neither source code nor symbo... |
2303.04249 | Brandon Clark | Brandon Clark, Alec Kerrigan, Parth Parag Kulkarni, Vicente Vivanco
Cepeda, Mubarak Shah | Where We Are and What We're Looking At: Query Based Worldwide Image
Geo-localization Using Hierarchies and Scenes | CVPR 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Determining the exact latitude and longitude that a photo was taken is a
useful and widely applicable task, yet it remains exceptionally difficult
despite the accelerated progress of other computer vision tasks. Most previous
approaches have opted to learn a single representation of query images, which
are then class... | [
{
"created": "Tue, 7 Mar 2023 21:47:58 GMT",
"version": "v1"
}
] | 2023-03-09 | [
[
"Clark",
"Brandon",
""
],
[
"Kerrigan",
"Alec",
""
],
[
"Kulkarni",
"Parth Parag",
""
],
[
"Cepeda",
"Vicente Vivanco",
""
],
[
"Shah",
"Mubarak",
""
]
] | Determining the exact latitude and longitude that a photo was taken is a useful and widely applicable task, yet it remains exceptionally difficult despite the accelerated progress of other computer vision tasks. Most previous approaches have opted to learn a single representation of query images, which are then classif... |
2310.20703 | Noam Razin | Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley,
Preetum Nakkiran, Joshua Susskind, Etai Littwin | Vanishing Gradients in Reinforcement Finetuning of Language Models | Accepted to ICLR 2024 | null | null | null | cs.LG cs.AI cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pretrained language models are commonly aligned with human preferences and
downstream tasks via reinforcement finetuning (RFT), which refers to maximizing
a (possibly learned) reward function using policy gradient algorithms. This
work identifies a fundamental optimization obstacle in RFT: we prove that the
expected ... | [
{
"created": "Tue, 31 Oct 2023 17:59:05 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jan 2024 12:39:06 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Mar 2024 08:05:18 GMT",
"version": "v3"
}
] | 2024-03-15 | [
[
"Razin",
"Noam",
""
],
[
"Zhou",
"Hattie",
""
],
[
"Saremi",
"Omid",
""
],
[
"Thilak",
"Vimal",
""
],
[
"Bradley",
"Arwen",
""
],
[
"Nakkiran",
"Preetum",
""
],
[
"Susskind",
"Joshua",
""
],
[
"Litt... | Pretrained language models are commonly aligned with human preferences and downstream tasks via reinforcement finetuning (RFT), which refers to maximizing a (possibly learned) reward function using policy gradient algorithms. This work identifies a fundamental optimization obstacle in RFT: we prove that the expected gr... |
2305.16943 | Hayeon Lee | Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang | DiffusionNAG: Predictor-guided Neural Architecture Generation with
Diffusion Models | Accepted to ICLR 2024 | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Existing NAS methods suffer from either an excessive amount of time for
repetitive sampling and training of many task-irrelevant architectures. To
tackle such limitations of existing NAS methods, we propose a paradigm shift
from NAS to a novel conditional Neural Architecture Generation (NAG) framework
based on diffus... | [
{
"created": "Fri, 26 May 2023 13:58:18 GMT",
"version": "v1"
},
{
"created": "Sun, 31 Dec 2023 00:30:53 GMT",
"version": "v2"
},
{
"created": "Fri, 19 Jan 2024 21:38:42 GMT",
"version": "v3"
},
{
"created": "Sun, 24 Mar 2024 22:00:04 GMT",
"version": "v4"
}
] | 2024-03-26 | [
[
"An",
"Sohyun",
""
],
[
"Lee",
"Hayeon",
""
],
[
"Jo",
"Jaehyeong",
""
],
[
"Lee",
"Seanie",
""
],
[
"Hwang",
"Sung Ju",
""
]
] | Existing NAS methods suffer from either an excessive amount of time for repetitive sampling and training of many task-irrelevant architectures. To tackle such limitations of existing NAS methods, we propose a paradigm shift from NAS to a novel conditional Neural Architecture Generation (NAG) framework based on diffusio... |
1702.05939 | Andr\'e Gr\"uning | Joseph Chrol-Cannon and Yaochu Jin and Andr\'e Gr\"uning | An Efficient Method for online Detection of Polychronous Patterns in
Spiking Neural Network | 17 pages, 8 figures | null | 10.1016/j.neucom.2017.06.025 | null | cs.NE q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Polychronous neural groups are effective structures for the recognition of
precise spike-timing patterns but the detection method is an inefficient
multi-stage brute force process that works off-line on pre-recorded simulation
data. This work presents a new model of polychronous patterns that can capture
precise sequ... | [
{
"created": "Mon, 20 Feb 2017 12:02:50 GMT",
"version": "v1"
}
] | 2017-07-12 | [
[
"Chrol-Cannon",
"Joseph",
""
],
[
"Jin",
"Yaochu",
""
],
[
"Grüning",
"André",
""
]
] | Polychronous neural groups are effective structures for the recognition of precise spike-timing patterns but the detection method is an inefficient multi-stage brute force process that works off-line on pre-recorded simulation data. This work presents a new model of polychronous patterns that can capture precise sequen... |
2005.10460 | Md. Redowan Mahmud | Redowan Mahmud, Kotagiri Ramamohanarao and Rajkumar Buyya | Application Management in Fog Computing Environments: A Taxonomy, Review
and Future Directions | null | ACM Computing Surveys, 2020 | 10.1145/3403955 | Volume: 53, Issue: 4 | cs.DC eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet of Things (IoT) paradigm is being rapidly adopted for the
creation of smart environments in various domains. The IoT-enabled
Cyber-Physical Systems (CPSs) associated with smart city, healthcare, Industry
4.0 and Agtech handle a huge volume of data and require data processing
services from different types... | [
{
"created": "Thu, 21 May 2020 04:43:44 GMT",
"version": "v1"
}
] | 2020-07-28 | [
[
"Mahmud",
"Redowan",
""
],
[
"Ramamohanarao",
"Kotagiri",
""
],
[
"Buyya",
"Rajkumar",
""
]
] | The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart environments in various domains. The IoT-enabled Cyber-Physical Systems (CPSs) associated with smart city, healthcare, Industry 4.0 and Agtech handle a huge volume of data and require data processing services from different types o... |
2308.04526 | Jord\~ao Bragantini | Jord\~ao Bragantini, Merlin Lange, Lo\"ic Royer | Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours
Maps | 13 pages, 7 figures, 4 tables | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this work, we describe a method for large-scale 3D cell-tracking through a
segmentation selection approach. The proposed method is effective at tracking
cells across large microscopy datasets on two fronts: (i) It can solve problems
containing millions of segmentation instances in terabyte-scale 3D+t datasets;
(ii... | [
{
"created": "Tue, 8 Aug 2023 18:41:38 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2024 23:50:32 GMT",
"version": "v2"
}
] | 2024-04-15 | [
[
"Bragantini",
"Jordão",
""
],
[
"Lange",
"Merlin",
""
],
[
"Royer",
"Loïc",
""
]
] | In this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach. The proposed method is effective at tracking cells across large microscopy datasets on two fronts: (i) It can solve problems containing millions of segmentation instances in terabyte-scale 3D+t datasets; (ii) ... |
1412.6141 | Song-Ju Kim Dr. | Song-Ju Kim, Masashi Aono, and Etsushi Nameda | Efficient Decision-Making by Volume-Conserving Physical Object | 5 pages, 3 figures | null | 10.1088/1367-2630/17/8/083023 | null | cs.AI cs.LG nlin.AO physics.data-an | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We demonstrate that any physical object, as long as its volume is conserved
when coupled with suitable operations, provides a sophisticated decision-making
capability. We consider the problem of finding, as accurately and quickly as
possible, the most profitable option from a set of options that gives
stochastic rewa... | [
{
"created": "Thu, 30 Oct 2014 08:23:13 GMT",
"version": "v1"
}
] | 2015-09-02 | [
[
"Kim",
"Song-Ju",
""
],
[
"Aono",
"Masashi",
""
],
[
"Nameda",
"Etsushi",
""
]
] | We demonstrate that any physical object, as long as its volume is conserved when coupled with suitable operations, provides a sophisticated decision-making capability. We consider the problem of finding, as accurately and quickly as possible, the most profitable option from a set of options that gives stochastic reward... |
2112.01998 | Hariprasad Kodamana | Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya
Chakraborty | Application of Machine Learning in understanding plant virus
pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus
interplay and management | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Inclusion of high throughput technologies in the field of biology has
generated massive amounts of biological data in the recent years. Now,
transforming these huge volumes of data into knowledge is the primary challenge
in computational biology. The traditional methods of data analysis have failed
to carry out the t... | [
{
"created": "Fri, 3 Dec 2021 16:25:26 GMT",
"version": "v1"
}
] | 2021-12-06 | [
[
"Ghosh",
"Dibyendu",
""
],
[
"Chakraborty",
"Srija",
""
],
[
"Kodamana",
"Hariprasad",
""
],
[
"Chakraborty",
"Supriya",
""
]
] | Inclusion of high throughput technologies in the field of biology has generated massive amounts of biological data in the recent years. Now, transforming these huge volumes of data into knowledge is the primary challenge in computational biology. The traditional methods of data analysis have failed to carry out the tas... |
2208.14966 | Andrew Bai | Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui
Hsieh | Concept Gradient: Concept-based Interpretation Without Linear Assumption | 21 pages, 7 figures, published in ICLR 2023 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Concept-based interpretations of black-box models are often more intuitive
for humans to understand. The most widely adopted approach for concept-based
interpretation is Concept Activation Vector (CAV). CAV relies on learning a
linear relation between some latent representation of a given model and
concepts. The line... | [
{
"created": "Wed, 31 Aug 2022 17:06:46 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Feb 2024 21:27:45 GMT",
"version": "v2"
}
] | 2024-02-07 | [
[
"Bai",
"Andrew",
""
],
[
"Yeh",
"Chih-Kuan",
""
],
[
"Ravikumar",
"Pradeep",
""
],
[
"Lin",
"Neil Y. C.",
""
],
[
"Hsieh",
"Cho-Jui",
""
]
] | Concept-based interpretations of black-box models are often more intuitive for humans to understand. The most widely adopted approach for concept-based interpretation is Concept Activation Vector (CAV). CAV relies on learning a linear relation between some latent representation of a given model and concepts. The linear... |
2405.09409 | Markus Ralf Bujotzek | Markus R. Bujotzek, \"Unal Ak\"unal, Stefan Denner, Peter Neher,
Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon Kim, Nicolai R. Krekiehn,
Manuel Nickel, Richard Ruppel, Marcus Both, Felix D\"ollinger, Marcel Opitz,
Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus Maier-Hein,
Rickmer Braren, Andreas ... | Real-World Federated Learning in Radiology: Hurdles to overcome and
Benefits to gain | null | null | null | null | cs.CV cs.DC | http://creativecommons.org/licenses/by/4.0/ | Objective: Federated Learning (FL) enables collaborative model training while
keeping data locally. Currently, most FL studies in radiology are conducted in
simulated environments due to numerous hurdles impeding its translation into
practice. The few existing real-world FL initiatives rarely communicate
specific mea... | [
{
"created": "Wed, 15 May 2024 15:04:27 GMT",
"version": "v1"
}
] | 2024-05-16 | [
[
"Bujotzek",
"Markus R.",
""
],
[
"Akünal",
"Ünal",
""
],
[
"Denner",
"Stefan",
""
],
[
"Neher",
"Peter",
""
],
[
"Zenk",
"Maximilian",
""
],
[
"Frodl",
"Eric",
""
],
[
"Jaiswal",
"Astha",
""
],
[
"K... | Objective: Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments due to numerous hurdles impeding its translation into practice. The few existing real-world FL initiatives rarely communicate specific measu... |
2311.07453 | Mubashara Akhtar | Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana
Cocarascu, Elena Simperl | ChartCheck: Explainable Fact-Checking over Real-World Chart Images | null | null | null | null | cs.CL cs.CV | http://creativecommons.org/licenses/by/4.0/ | Whilst fact verification has attracted substantial interest in the natural
language processing community, verifying misinforming statements against data
visualizations such as charts has so far been overlooked. Charts are commonly
used in the real-world to summarize and communicate key information, but they
can also ... | [
{
"created": "Mon, 13 Nov 2023 16:35:29 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Feb 2024 12:14:05 GMT",
"version": "v2"
}
] | 2024-02-19 | [
[
"Akhtar",
"Mubashara",
""
],
[
"Subedi",
"Nikesh",
""
],
[
"Gupta",
"Vivek",
""
],
[
"Tahmasebi",
"Sahar",
""
],
[
"Cocarascu",
"Oana",
""
],
[
"Simperl",
"Elena",
""
]
] | Whilst fact verification has attracted substantial interest in the natural language processing community, verifying misinforming statements against data visualizations such as charts has so far been overlooked. Charts are commonly used in the real-world to summarize and communicate key information, but they can also be... |
1711.02484 | Elie Ngomseu Mambou | Ebenezer Esenogho and Elie Ngomseu Mambou | Evaluation of Handover Exchange Schemes Between Two Cognitive Radio Base
Stations with and without Buffers | 5 pages, 7 figures, conference | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article investigates and evaluate a handover exchange scheme between two
secondary users (SUs) moving in different directions across the handover region
of neighbouring cell in a cognitive radio network. More specifically, this
investigation compares the performance of SUs in a cellular cognitive radio
network w... | [
{
"created": "Tue, 7 Nov 2017 14:27:16 GMT",
"version": "v1"
}
] | 2017-11-08 | [
[
"Esenogho",
"Ebenezer",
""
],
[
"Mambou",
"Elie Ngomseu",
""
]
] | This article investigates and evaluate a handover exchange scheme between two secondary users (SUs) moving in different directions across the handover region of neighbouring cell in a cognitive radio network. More specifically, this investigation compares the performance of SUs in a cellular cognitive radio network wit... |
2305.14329 | Fivos Kalogiannis | Fivos Kalogiannis, Ioannis Panageas | Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient
Computation of Nash Equilibria | Added missing proofs for the infinite-horizon | null | null | null | cs.GT cs.MA cs.SI | http://creativecommons.org/licenses/by/4.0/ | The works of (Daskalakis et al., 2009, 2022; Jin et al., 2022; Deng et al.,
2023) indicate that computing Nash equilibria in multi-player Markov games is a
computationally hard task. This fact raises the question of whether or not
computational intractability can be circumvented if one focuses on specific
classes of ... | [
{
"created": "Tue, 23 May 2023 17:56:45 GMT",
"version": "v1"
},
{
"created": "Mon, 29 May 2023 17:57:58 GMT",
"version": "v2"
}
] | 2023-05-30 | [
[
"Kalogiannis",
"Fivos",
""
],
[
"Panageas",
"Ioannis",
""
]
] | The works of (Daskalakis et al., 2009, 2022; Jin et al., 2022; Deng et al., 2023) indicate that computing Nash equilibria in multi-player Markov games is a computationally hard task. This fact raises the question of whether or not computational intractability can be circumvented if one focuses on specific classes of Ma... |
2303.10288 | Jun Zhao | Terence Jie Chua, Wenhan Yu, Jun Zhao | Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse
with Deep Reinforcement Learning | This paper appears in IEEE International Conference on
Communications, 2023 | null | null | null | cs.NI cs.AI | http://creativecommons.org/licenses/by/4.0/ | Real-time Digital Twinning of physical world scenes onto the Metaverse is
necessary for a myriad of applications such as augmented-reality (AR) assisted
driving. In AR assisted driving, physical environment scenes are first captured
by Internet of Vehicles (IoVs) and are uploaded to the Metaverse. A central
Metaverse... | [
{
"created": "Sat, 18 Mar 2023 00:03:50 GMT",
"version": "v1"
}
] | 2023-03-21 | [
[
"Chua",
"Terence Jie",
""
],
[
"Yu",
"Wenhan",
""
],
[
"Zhao",
"Jun",
""
]
] | Real-time Digital Twinning of physical world scenes onto the Metaverse is necessary for a myriad of applications such as augmented-reality (AR) assisted driving. In AR assisted driving, physical environment scenes are first captured by Internet of Vehicles (IoVs) and are uploaded to the Metaverse. A central Metaverse M... |
2306.07512 | Wang Ruijie | Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan,
Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher | Noisy Positive-Unlabeled Learning with Self-Training for Speculative
Knowledge Graph Reasoning | This paper is accepted by ACL-Findings 2023 | null | null | null | cs.LG cs.AI cs.CL cs.SI | http://creativecommons.org/licenses/by/4.0/ | This paper studies speculative reasoning task on real-world knowledge graphs
(KG) that contain both \textit{false negative issue} (i.e., potential true
facts being excluded) and \textit{false positive issue} (i.e., unreliable or
outdated facts being included). State-of-the-art methods fall short in the
speculative re... | [
{
"created": "Tue, 13 Jun 2023 02:43:21 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Wang",
"Ruijie",
""
],
[
"Li",
"Baoyu",
""
],
[
"Lu",
"Yichen",
""
],
[
"Sun",
"Dachun",
""
],
[
"Li",
"Jinning",
""
],
[
"Yan",
"Yuchen",
""
],
[
"Liu",
"Shengzhong",
""
],
[
"Tong",
"Hanghang... | This paper studies speculative reasoning task on real-world knowledge graphs (KG) that contain both \textit{false negative issue} (i.e., potential true facts being excluded) and \textit{false positive issue} (i.e., unreliable or outdated facts being included). State-of-the-art methods fall short in the speculative reas... |
2301.07868 | Bowen Zhang | Xiaojie Jin, Bowen Zhang, Weibo Gong, Kai Xu, XueQing Deng, Peng Wang,
Zhao Zhang, Xiaohui Shen, Jiashi Feng | MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art video-text retrieval (VTR) methods typically involve fully
fine-tuning a pre-trained model (e.g. CLIP) on specific datasets. However, this
can result in significant storage costs in practical applications as a separate
model per task must be stored. To address this issue, we present our pioneering
wo... | [
{
"created": "Thu, 19 Jan 2023 03:42:56 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2024 06:21:29 GMT",
"version": "v2"
}
] | 2024-04-12 | [
[
"Jin",
"Xiaojie",
""
],
[
"Zhang",
"Bowen",
""
],
[
"Gong",
"Weibo",
""
],
[
"Xu",
"Kai",
""
],
[
"Deng",
"XueQing",
""
],
[
"Wang",
"Peng",
""
],
[
"Zhang",
"Zhao",
""
],
[
"Shen",
"Xiaohui",
... | State-of-the-art video-text retrieval (VTR) methods typically involve fully fine-tuning a pre-trained model (e.g. CLIP) on specific datasets. However, this can result in significant storage costs in practical applications as a separate model per task must be stored. To address this issue, we present our pioneering work... |
2202.03575 | Peiying Zhang | Peiying Zhang, Chao Wang, Chunxiao Jiang, and Zhu Han | Deep Reinforcement Learning Assisted Federated Learning Algorithm for
Data Management of IIoT | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The continuous expanded scale of the industrial Internet of Things (IIoT)
leads to IIoT equipments generating massive amounts of user data every moment.
According to the different requirement of end users, these data usually have
high heterogeneity and privacy, while most of users are reluctant to expose
them to the ... | [
{
"created": "Thu, 3 Feb 2022 07:12:36 GMT",
"version": "v1"
}
] | 2022-02-09 | [
[
"Zhang",
"Peiying",
""
],
[
"Wang",
"Chao",
""
],
[
"Jiang",
"Chunxiao",
""
],
[
"Han",
"Zhu",
""
]
] | The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT equipments generating massive amounts of user data every moment. According to the different requirement of end users, these data usually have high heterogeneity and privacy, while most of users are reluctant to expose them to the pu... |
2103.06742 | Qianhao Wang | Qianhao Wang, Yuman Gao, Jialin Ji, Chao Xu, and Fei Gao | Visibility-aware Trajectory Optimization with Application to Aerial
Tracking | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The visibility of targets determines performance and even success rate of
various applications, such as active slam, exploration, and target tracking.
Therefore, it is crucial to take the visibility of targets into explicit
account in trajectory planning. In this paper, we propose a general metric for
target visibili... | [
{
"created": "Thu, 11 Mar 2021 15:43:13 GMT",
"version": "v1"
}
] | 2021-03-12 | [
[
"Wang",
"Qianhao",
""
],
[
"Gao",
"Yuman",
""
],
[
"Ji",
"Jialin",
""
],
[
"Xu",
"Chao",
""
],
[
"Gao",
"Fei",
""
]
] | The visibility of targets determines performance and even success rate of various applications, such as active slam, exploration, and target tracking. Therefore, it is crucial to take the visibility of targets into explicit account in trajectory planning. In this paper, we propose a general metric for target visibility... |
2403.05066 | Hongjoon Ahn | Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, and Taesup Moon | Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual
Reinforcement Learning | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | We argue that the negative transfer problem occurring when the new task to
learn arrives is an important problem that needs not be overlooked when
developing effective Continual Reinforcement Learning (CRL) algorithms. Through
comprehensive experimental validation, we demonstrate that such issue
frequently exists in ... | [
{
"created": "Fri, 8 Mar 2024 05:37:59 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Aug 2024 06:32:11 GMT",
"version": "v2"
}
] | 2024-08-15 | [
[
"Ahn",
"Hongjoon",
""
],
[
"Hyeon",
"Jinu",
""
],
[
"Oh",
"Youngmin",
""
],
[
"Hwang",
"Bosun",
""
],
[
"Moon",
"Taesup",
""
]
] | We argue that the negative transfer problem occurring when the new task to learn arrives is an important problem that needs not be overlooked when developing effective Continual Reinforcement Learning (CRL) algorithms. Through comprehensive experimental validation, we demonstrate that such issue frequently exists in CR... |
1311.2677 | Raman Singh Mr. | Raman Singh, Harish Kumar and R.K. Singla | Sampling Based Approaches to Handle Imbalances in Network Traffic
Dataset for Machine Learning Techniques | 12 pages | null | 10.5121/csit.2013.3704 | null | cs.NI cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network traffic data is huge, varying and imbalanced because various classes
are not equally distributed. Machine learning (ML) algorithms for traffic
analysis uses the samples from this data to recommend the actions to be taken
by the network administrators as well as training. Due to imbalances in
dataset, it is di... | [
{
"created": "Tue, 12 Nov 2013 05:32:48 GMT",
"version": "v1"
}
] | 2013-11-13 | [
[
"Singh",
"Raman",
""
],
[
"Kumar",
"Harish",
""
],
[
"Singla",
"R. K.",
""
]
] | Network traffic data is huge, varying and imbalanced because various classes are not equally distributed. Machine learning (ML) algorithms for traffic analysis uses the samples from this data to recommend the actions to be taken by the network administrators as well as training. Due to imbalances in dataset, it is diff... |
1709.04579 | Behzad Ghazanfari | Behzad Ghazanfari and Matthew E. Taylor | Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement
Learning and Multi-task Reinforcement Learning | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning (RL), while often powerful, can suffer from slow
learning speeds, particularly in high dimensional spaces. The autonomous
decomposition of tasks and use of hierarchical methods hold the potential to
significantly speed up learning in such domains. This paper proposes a novel
practical method th... | [
{
"created": "Thu, 14 Sep 2017 01:43:13 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Sep 2017 16:21:03 GMT",
"version": "v2"
}
] | 2017-09-18 | [
[
"Ghazanfari",
"Behzad",
""
],
[
"Taylor",
"Matthew E.",
""
]
] | Reinforcement learning (RL), while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces. The autonomous decomposition of tasks and use of hierarchical methods hold the potential to significantly speed up learning in such domains. This paper proposes a novel practical method that... |
2203.16428 | Stuart Millar Mr | Stuart Millar | Vulnerability Detection in Open Source Software: An Introduction | This version dated March 26th 2017 | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | This paper is an introductory discussion on the cause of open source software
vulnerabilities, their importance in the cybersecurity ecosystem, and a
selection of detection methods. A recent application security report showed 44%
of applications contain critical vulnerabilities in an open source component, a
concerni... | [
{
"created": "Sun, 6 Mar 2022 16:46:58 GMT",
"version": "v1"
}
] | 2022-03-31 | [
[
"Millar",
"Stuart",
""
]
] | This paper is an introductory discussion on the cause of open source software vulnerabilities, their importance in the cybersecurity ecosystem, and a selection of detection methods. A recent application security report showed 44% of applications contain critical vulnerabilities in an open source component, a concerning... |
2103.13447 | Seunghun Lee | Seunghun Lee, Sunghyun Cho, Sunghoon Im | DRANet: Disentangling Representation and Adaptation Networks for
Unsupervised Cross-Domain Adaptation | Accepted to CVPR 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present DRANet, a network architecture that disentangles
image representations and transfers the visual attributes in a latent space for
unsupervised cross-domain adaptation. Unlike the existing domain adaptation
methods that learn associated features sharing a domain, DRANet preserves the
distincti... | [
{
"created": "Wed, 24 Mar 2021 18:54:23 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Mar 2021 07:14:37 GMT",
"version": "v2"
}
] | 2021-03-30 | [
[
"Lee",
"Seunghun",
""
],
[
"Cho",
"Sunghyun",
""
],
[
"Im",
"Sunghoon",
""
]
] | In this paper, we present DRANet, a network architecture that disentangles image representations and transfers the visual attributes in a latent space for unsupervised cross-domain adaptation. Unlike the existing domain adaptation methods that learn associated features sharing a domain, DRANet preserves the distinctive... |
1502.06732 | Zhiwen Zeng | Zhiwen Zeng, Xiangke Wang, Zhiqiang Zheng | Convergence Analysis using the Edge Laplacian: Robust Consensus of
Nonlinear Multi-agent Systems via ISS Method | 22 pages, 10 figures; Submitted to International Journal of Robust
and Nonlinear Control | null | null | null | cs.SY cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study develops an original and innovative matrix representation with
respect to the information flow for networked multi-agent system. To begin
with, the general concepts of the edge Laplacian of digraph are proposed with
its algebraic properties. Benefit from this novel graph-theoretic tool, we can
build a brid... | [
{
"created": "Tue, 24 Feb 2015 09:52:52 GMT",
"version": "v1"
}
] | 2015-02-25 | [
[
"Zeng",
"Zhiwen",
""
],
[
"Wang",
"Xiangke",
""
],
[
"Zheng",
"Zhiqiang",
""
]
] | This study develops an original and innovative matrix representation with respect to the information flow for networked multi-agent system. To begin with, the general concepts of the edge Laplacian of digraph are proposed with its algebraic properties. Benefit from this novel graph-theoretic tool, we can build a bridge... |
2103.08698 | Zden\v{e}k Dvo\v{r}\'ak | Zden\v{e}k Dvo\v{r}\'ak | Approximation metatheorems for classes with bounded expansion | 35 pages, no figures; revised the presentation | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give a number of approximation metatheorems for monotone maximization
problems expressible in the first-order logic, in substantially more general
settings than the previously known. We obtain * constant-factor approximation
algorithm in any class of graphs with bounded expansion, * a QPTAS in any class
with stron... | [
{
"created": "Mon, 15 Mar 2021 20:26:05 GMT",
"version": "v1"
},
{
"created": "Sat, 11 Sep 2021 16:12:58 GMT",
"version": "v2"
},
{
"created": "Sat, 9 Oct 2021 23:06:38 GMT",
"version": "v3"
}
] | 2021-10-12 | [
[
"Dvořák",
"Zdeněk",
""
]
] | We give a number of approximation metatheorems for monotone maximization problems expressible in the first-order logic, in substantially more general settings than the previously known. We obtain * constant-factor approximation algorithm in any class of graphs with bounded expansion, * a QPTAS in any class with strongl... |
2302.13399 | Lingjie Kong | Lingjie Kong and Yun Liao | Path Integral Based Convolution and Pooling for Heterogeneous Graph
Neural Networks | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph neural networks (GNN) extends deep learning to graph-structure dataset.
Similar to Convolutional Neural Networks (CNN) using on image prediction,
convolutional and pooling layers are the foundation to success for GNN on graph
prediction tasks. In the initial PAN paper, it uses a path integral based graph
neural... | [
{
"created": "Sun, 26 Feb 2023 20:05:23 GMT",
"version": "v1"
}
] | 2023-02-28 | [
[
"Kong",
"Lingjie",
""
],
[
"Liao",
"Yun",
""
]
] | Graph neural networks (GNN) extends deep learning to graph-structure dataset. Similar to Convolutional Neural Networks (CNN) using on image prediction, convolutional and pooling layers are the foundation to success for GNN on graph prediction tasks. In the initial PAN paper, it uses a path integral based graph neural n... |
2310.12274 | Chen Jin | Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare | An Image is Worth Multiple Words: Discovering Object Level Concepts
using Multi-Concept Prompt Learning | ICML 2024; project page: https://astrazeneca.github.io/mcpl.github.io | null | null | null | cs.CV cs.AI cs.CL cs.GR cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Textural Inversion, a prompt learning method, learns a singular text
embedding for a new "word" to represent image style and appearance, allowing it
to be integrated into natural language sentences to generate novel synthesised
images. However, identifying multiple unknown object-level concepts within one
scene remai... | [
{
"created": "Wed, 18 Oct 2023 19:18:19 GMT",
"version": "v1"
},
{
"created": "Sat, 25 May 2024 00:01:46 GMT",
"version": "v2"
}
] | 2024-05-28 | [
[
"Jin",
"Chen",
""
],
[
"Tanno",
"Ryutaro",
""
],
[
"Saseendran",
"Amrutha",
""
],
[
"Diethe",
"Tom",
""
],
[
"Teare",
"Philip",
""
]
] | Textural Inversion, a prompt learning method, learns a singular text embedding for a new "word" to represent image style and appearance, allowing it to be integrated into natural language sentences to generate novel synthesised images. However, identifying multiple unknown object-level concepts within one scene remains... |
1304.6501 | Evmorfia Argyriou N. | Evmorfia N. Argyriou and Aikaterini A. Sotiraki and Antonios Symvonis | Occupational Fraud Detection Through Visualization | null | null | null | null | cs.CY cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Occupational fraud affects many companies worldwide causing them economic
loss and liability issues towards their customers and other involved entities.
Detecting internal fraud in a company requires significant effort and,
unfortunately cannot be entirely prevented. The internal auditors have to
process a huge amoun... | [
{
"created": "Wed, 24 Apr 2013 07:57:53 GMT",
"version": "v1"
}
] | 2013-04-25 | [
[
"Argyriou",
"Evmorfia N.",
""
],
[
"Sotiraki",
"Aikaterini A.",
""
],
[
"Symvonis",
"Antonios",
""
]
] | Occupational fraud affects many companies worldwide causing them economic loss and liability issues towards their customers and other involved entities. Detecting internal fraud in a company requires significant effort and, unfortunately cannot be entirely prevented. The internal auditors have to process a huge amount ... |
2404.08850 | Amit Sharma | Amit Sharma, Teodor-Dumitru Ene, Kishor Kunal, Mingjie Liu, Zafar
Hasan and Haoxing Ren | Assessing Economic Viability: A Comparative Analysis of Total Cost of
Ownership for Domain-Adapted Large Language Models versus State-of-the-art
Counterparts in Chip Design Coding Assistance | Paper accepted in IEEE-ACM conference: 2024 IEEE LLM-Aided Design
Workshop (LAD) | null | null | null | cs.AI cs.CE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a comparative analysis of total cost of ownership (TCO)
and performance between domain-adapted large language models (LLM) and
state-of-the-art (SoTA) LLMs , with a particular emphasis on tasks related to
coding assistance for chip design. We examine the TCO and performance metrics
of a domain-ada... | [
{
"created": "Fri, 12 Apr 2024 23:37:56 GMT",
"version": "v1"
},
{
"created": "Tue, 28 May 2024 17:11:44 GMT",
"version": "v2"
}
] | 2024-05-29 | [
[
"Sharma",
"Amit",
""
],
[
"Ene",
"Teodor-Dumitru",
""
],
[
"Kunal",
"Kishor",
""
],
[
"Liu",
"Mingjie",
""
],
[
"Hasan",
"Zafar",
""
],
[
"Ren",
"Haoxing",
""
]
] | This paper presents a comparative analysis of total cost of ownership (TCO) and performance between domain-adapted large language models (LLM) and state-of-the-art (SoTA) LLMs , with a particular emphasis on tasks related to coding assistance for chip design. We examine the TCO and performance metrics of a domain-adapt... |
0908.1077 | Ali Tajer | Ali Tajer, Narayan Prasad, and Xiaodong Wang | Beamforming and Rate Allocation in MISO Cognitive Radio Networks | 32 pages, 6 figures | null | 10.1109/TSP.2009.2031280 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider decentralized multi-antenna cognitive radio networks where
secondary (cognitive) users are granted simultaneous spectrum access along with
license-holding (primary) users. We treat the problem of distributed
beamforming and rate allocation for the secondary users such that the minimum
weighted secondary r... | [
{
"created": "Fri, 7 Aug 2009 15:46:00 GMT",
"version": "v1"
}
] | 2015-05-13 | [
[
"Tajer",
"Ali",
""
],
[
"Prasad",
"Narayan",
""
],
[
"Wang",
"Xiaodong",
""
]
] | We consider decentralized multi-antenna cognitive radio networks where secondary (cognitive) users are granted simultaneous spectrum access along with license-holding (primary) users. We treat the problem of distributed beamforming and rate allocation for the secondary users such that the minimum weighted secondary rat... |
1612.00414 | Farzad Salehisadaghiani | Farzad Salehisadaghiani and Lacra Pavel | Distributed Nash Equilibrium Seeking via the Alternating Direction
Method of Multipliers | null | null | null | null | cs.SY cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, the problem of finding a Nash equilibrium of a multi-player
game is considered. The players are only aware of their own cost functions as
well as the action space of all players. We develop a relatively fast algorithm
within the framework of inexact-ADMM. It requires a communication graph for the
infor... | [
{
"created": "Thu, 1 Dec 2016 20:23:48 GMT",
"version": "v1"
}
] | 2017-05-09 | [
[
"Salehisadaghiani",
"Farzad",
""
],
[
"Pavel",
"Lacra",
""
]
] | In this paper, the problem of finding a Nash equilibrium of a multi-player game is considered. The players are only aware of their own cost functions as well as the action space of all players. We develop a relatively fast algorithm within the framework of inexact-ADMM. It requires a communication graph for the informa... |
1810.11112 | Ammar Ahmad Awan | Ammar Ahmad Awan, Jeroen Bedorf, Ching-Hsiang Chu, Hari Subramoni, and
Dhabaleswar K. Panda | Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI:
Characterization, Designs, and Performance Evaluation | 10 pages, 9 figures, submitted to IEEE IPDPS 2019 for peer-review | IEEE CCGrid, 2019 | 10.1109/CCGRID.2019.00064 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | TensorFlow has been the most widely adopted Machine/Deep Learning framework.
However, little exists in the literature that provides a thorough understanding
of the capabilities which TensorFlow offers for the distributed training of
large ML/DL models that need computation and communication at scale. Most
commonly us... | [
{
"created": "Thu, 25 Oct 2018 21:25:26 GMT",
"version": "v1"
}
] | 2019-11-14 | [
[
"Awan",
"Ammar Ahmad",
""
],
[
"Bedorf",
"Jeroen",
""
],
[
"Chu",
"Ching-Hsiang",
""
],
[
"Subramoni",
"Hari",
""
],
[
"Panda",
"Dhabaleswar K.",
""
]
] | TensorFlow has been the most widely adopted Machine/Deep Learning framework. However, little exists in the literature that provides a thorough understanding of the capabilities which TensorFlow offers for the distributed training of large ML/DL models that need computation and communication at scale. Most commonly used... |
2311.03078 | Md. Shahad Mahmud Chowdhury | Sadia Afrin, Md. Shahad Mahmud Chowdhury, Md. Ekramul Islam, Faisal
Ahamed Khan, Labib Imam Chowdhury, MD. Motahar Mahtab, Nazifa Nuha Chowdhury,
Massud Forkan, Neelima Kundu, Hakim Arif, Mohammad Mamun Or Rashid, Mohammad
Ruhul Amin, Nabeel Mohammed | BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla
Lemmatizer | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Lemmatization holds significance in both natural language processing (NLP)
and linguistics, as it effectively decreases data density and aids in
comprehending contextual meaning. However, due to the highly inflected nature
and morphological richness, lemmatization in Bangla text poses a complex
challenge. In this stu... | [
{
"created": "Mon, 6 Nov 2023 13:02:07 GMT",
"version": "v1"
}
] | 2023-11-07 | [
[
"Afrin",
"Sadia",
""
],
[
"Chowdhury",
"Md. Shahad Mahmud",
""
],
[
"Islam",
"Md. Ekramul",
""
],
[
"Khan",
"Faisal Ahamed",
""
],
[
"Chowdhury",
"Labib Imam",
""
],
[
"Mahtab",
"MD. Motahar",
""
],
[
"Chowdhury",
... | Lemmatization holds significance in both natural language processing (NLP) and linguistics, as it effectively decreases data density and aids in comprehending contextual meaning. However, due to the highly inflected nature and morphological richness, lemmatization in Bangla text poses a complex challenge. In this study... |
2405.09942 | Siliang Ma | Siliang Ma, Yong Xu | FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of
Rotated Object Detection | arXiv admin note: text overlap with arXiv:2307.07662, text overlap
with arXiv:1902.09630 by other authors | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bounding box regression is one of the important steps of object detection.
However, rotation detectors often involve a more complicated loss based on
SkewIoU which is unfriendly to gradient-based training. Most of the existing
loss functions for rotated object detection calculate the difference between
two bounding b... | [
{
"created": "Thu, 16 May 2024 09:44:00 GMT",
"version": "v1"
},
{
"created": "Sun, 19 May 2024 04:32:53 GMT",
"version": "v2"
}
] | 2024-05-21 | [
[
"Ma",
"Siliang",
""
],
[
"Xu",
"Yong",
""
]
] | Bounding box regression is one of the important steps of object detection. However, rotation detectors often involve a more complicated loss based on SkewIoU which is unfriendly to gradient-based training. Most of the existing loss functions for rotated object detection calculate the difference between two bounding box... |
2007.15951 | Brian Kenji Iwana | Brian Kenji Iwana, Seiichi Uchida | An Empirical Survey of Data Augmentation for Time Series Classification
with Neural Networks | null | null | 10.1371/journal.pone.0254841 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent times, deep artificial neural networks have achieved many successes
in pattern recognition. Part of this success can be attributed to the reliance
on big data to increase generalization. However, in the field of time series
recognition, many datasets are often very small. One method of addressing this
probl... | [
{
"created": "Fri, 31 Jul 2020 10:33:54 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Feb 2021 09:58:48 GMT",
"version": "v2"
},
{
"created": "Mon, 24 May 2021 07:40:30 GMT",
"version": "v3"
},
{
"created": "Fri, 2 Jul 2021 09:15:08 GMT",
"version": "v4"
}
] | 2021-09-15 | [
[
"Iwana",
"Brian Kenji",
""
],
[
"Uchida",
"Seiichi",
""
]
] | In recent times, deep artificial neural networks have achieved many successes in pattern recognition. Part of this success can be attributed to the reliance on big data to increase generalization. However, in the field of time series recognition, many datasets are often very small. One method of addressing this problem... |
2203.01927 | Jannis Vamvas | Jannis Vamvas and Rico Sennrich | As Little as Possible, as Much as Necessary: Detecting Over- and
Undertranslations with Contrastive Conditioning | ACL 2022 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Omission and addition of content is a typical issue in neural machine
translation. We propose a method for detecting such phenomena with
off-the-shelf translation models. Using contrastive conditioning, we compare
the likelihood of a full sequence under a translation model to the likelihood
of its parts, given the co... | [
{
"created": "Thu, 3 Mar 2022 18:59:02 GMT",
"version": "v1"
}
] | 2022-03-04 | [
[
"Vamvas",
"Jannis",
""
],
[
"Sennrich",
"Rico",
""
]
] | Omission and addition of content is a typical issue in neural machine translation. We propose a method for detecting such phenomena with off-the-shelf translation models. Using contrastive conditioning, we compare the likelihood of a full sequence under a translation model to the likelihood of its parts, given the corr... |
2206.14846 | Kaixuan Huang | Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu,
Mengdi Wang, Huazheng Wang | Provably Efficient Reinforcement Learning for Online Adaptive Influence
Maximization | null | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online influence maximization aims to maximize the influence spread of a
content in a social network with unknown network model by selecting a few seed
nodes. Recent studies followed a non-adaptive setting, where the seed nodes are
selected before the start of the diffusion process and network parameters are
updated ... | [
{
"created": "Wed, 29 Jun 2022 18:17:28 GMT",
"version": "v1"
}
] | 2022-07-01 | [
[
"Huang",
"Kaixuan",
""
],
[
"Wu",
"Yu",
""
],
[
"Zhang",
"Xuezhou",
""
],
[
"Tu",
"Shenyinying",
""
],
[
"Wu",
"Qingyun",
""
],
[
"Wang",
"Mengdi",
""
],
[
"Wang",
"Huazheng",
""
]
] | Online influence maximization aims to maximize the influence spread of a content in a social network with unknown network model by selecting a few seed nodes. Recent studies followed a non-adaptive setting, where the seed nodes are selected before the start of the diffusion process and network parameters are updated wh... |
1907.09029 | Bestoun Ahmed Dr. | Bestoun S. Ahmed and Angelo Gargantini and Kamal Z. Zamli and Cemal
Yilmaz and Miroslav Bures and Marek Szeles | Code-Aware Combinatorial Interaction Testing | 28 pages | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Combinatorial interaction testing (CIT) is a useful testing technique to
address the interaction of input parameters in software systems. In many
applications, the technique has been used as a systematic sampling technique to
sample the enormous possibilities of test cases. In the last decade, most of
the research ac... | [
{
"created": "Sun, 21 Jul 2019 20:27:28 GMT",
"version": "v1"
}
] | 2019-07-23 | [
[
"Ahmed",
"Bestoun S.",
""
],
[
"Gargantini",
"Angelo",
""
],
[
"Zamli",
"Kamal Z.",
""
],
[
"Yilmaz",
"Cemal",
""
],
[
"Bures",
"Miroslav",
""
],
[
"Szeles",
"Marek",
""
]
] | Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. In many applications, the technique has been used as a systematic sampling technique to sample the enormous possibilities of test cases. In the last decade, most of the research acti... |
2104.01772 | Haimin Luo | Haimin Luo, Anpei Chen, Qixuan Zhang, Bai Pang, Minye Wu, Lan Xu, and
Jingyi Yu | Convolutional Neural Opacity Radiance Fields | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Photo-realistic modeling and rendering of fuzzy objects with complex opacity
are critical for numerous immersive VR/AR applications, but it suffers from
strong view-dependent brightness, color. In this paper, we propose a novel
scheme to generate opacity radiance fields with a convolutional neural renderer
for fuzzy ... | [
{
"created": "Mon, 5 Apr 2021 04:46:46 GMT",
"version": "v1"
}
] | 2021-04-06 | [
[
"Luo",
"Haimin",
""
],
[
"Chen",
"Anpei",
""
],
[
"Zhang",
"Qixuan",
""
],
[
"Pang",
"Bai",
""
],
[
"Wu",
"Minye",
""
],
[
"Xu",
"Lan",
""
],
[
"Yu",
"Jingyi",
""
]
] | Photo-realistic modeling and rendering of fuzzy objects with complex opacity are critical for numerous immersive VR/AR applications, but it suffers from strong view-dependent brightness, color. In this paper, we propose a novel scheme to generate opacity radiance fields with a convolutional neural renderer for fuzzy ob... |
1705.06457 | Augustin Speyer | Augustin Speyer, Robin Lemke | Information Density as a Factor for Variation in the Embedding of
Relative Clauses | 10 pages. To be submitted in a German version to 'Sprachwissenschaft' | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In German, relative clauses can be positioned in-situ or extraposed. A
potential factor for the variation might be information density. In this study,
this hypothesis is tested with a corpus of 17th century German funeral sermons.
For each referent in the relative clauses and their matrix clauses, the
attention state... | [
{
"created": "Thu, 18 May 2017 08:16:20 GMT",
"version": "v1"
}
] | 2017-05-19 | [
[
"Speyer",
"Augustin",
""
],
[
"Lemke",
"Robin",
""
]
] | In German, relative clauses can be positioned in-situ or extraposed. A potential factor for the variation might be information density. In this study, this hypothesis is tested with a corpus of 17th century German funeral sermons. For each referent in the relative clauses and their matrix clauses, the attention state w... |
1507.06199 | Rani Izsak | Moran Feldman and Rani Izsak | Building a Good Team: Secretary Problems and the Supermodular Degree | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the Secretary Problem, one has to hire the best among n candidates. The
candidates are interviewed, one at a time, at a random order, and one has to
decide on the spot, whether to hire a candidate or continue interviewing. It is
well known that the best candidate can be hired with a probability of 1/e
(Dynkin, 196... | [
{
"created": "Wed, 22 Jul 2015 14:15:10 GMT",
"version": "v1"
}
] | 2015-07-23 | [
[
"Feldman",
"Moran",
""
],
[
"Izsak",
"Rani",
""
]
] | In the Secretary Problem, one has to hire the best among n candidates. The candidates are interviewed, one at a time, at a random order, and one has to decide on the spot, whether to hire a candidate or continue interviewing. It is well known that the best candidate can be hired with a probability of 1/e (Dynkin, 1963)... |
2012.09790 | Yilun Du | Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu | Neural Radiance Flow for 4D View Synthesis and Video Processing | ICCV 2021. Website: https://yilundu.github.io/nerflow/ | null | null | null | cs.CV cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method, Neural Radiance Flow (NeRFlow),to learn a 4D
spatial-temporal representation of a dynamic scene from a set of RGB images.
Key to our approach is the use of a neural implicit representation that learns
to capture the 3D occupancy, radiance, and dynamics of the scene. By enforcing
consistency acros... | [
{
"created": "Thu, 17 Dec 2020 17:54:32 GMT",
"version": "v1"
},
{
"created": "Sun, 5 Sep 2021 16:39:21 GMT",
"version": "v2"
}
] | 2021-09-07 | [
[
"Du",
"Yilun",
""
],
[
"Zhang",
"Yinan",
""
],
[
"Yu",
"Hong-Xing",
""
],
[
"Tenenbaum",
"Joshua B.",
""
],
[
"Wu",
"Jiajun",
""
]
] | We present a method, Neural Radiance Flow (NeRFlow),to learn a 4D spatial-temporal representation of a dynamic scene from a set of RGB images. Key to our approach is the use of a neural implicit representation that learns to capture the 3D occupancy, radiance, and dynamics of the scene. By enforcing consistency across ... |
2204.02822 | Ritesh Kumar | Ritesh Kumar, Bornini Lahiri | Language Resources and Technologies for Non-Scheduled and Endangered
Indian Languages | To appear in Proceedings of Conference on Sanskrit and Indian
Languages: Technology | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the present paper, we will present a survey of the language resources and
technologies available for the non-scheduled and endangered languages of India.
While there have been different estimates from different sources about the
number of languages in India, it could be assumed that there are more than
1,000 langu... | [
{
"created": "Wed, 6 Apr 2022 13:33:24 GMT",
"version": "v1"
}
] | 2022-04-07 | [
[
"Kumar",
"Ritesh",
""
],
[
"Lahiri",
"Bornini",
""
]
] | In the present paper, we will present a survey of the language resources and technologies available for the non-scheduled and endangered languages of India. While there have been different estimates from different sources about the number of languages in India, it could be assumed that there are more than 1,000 languag... |
2211.03509 | Gang Cao | Zijie Lou, Gang Cao, Man Lin | Black-Box Attack against GAN-Generated Image Detector with Contrastive
Perturbation | null | null | null | null | cs.CV cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visually realistic GAN-generated facial images raise obvious concerns on
potential misuse. Many effective forensic algorithms have been developed to
detect such synthetic images in recent years. It is significant to assess the
vulnerability of such forensic detectors against adversarial attacks. In this
paper, we pro... | [
{
"created": "Mon, 7 Nov 2022 12:56:14 GMT",
"version": "v1"
}
] | 2022-11-08 | [
[
"Lou",
"Zijie",
""
],
[
"Cao",
"Gang",
""
],
[
"Lin",
"Man",
""
]
] | Visually realistic GAN-generated facial images raise obvious concerns on potential misuse. Many effective forensic algorithms have been developed to detect such synthetic images in recent years. It is significant to assess the vulnerability of such forensic detectors against adversarial attacks. In this paper, we propo... |
1409.1045 | Uwe Aickelin | Josie C. McCullochy, Chris J. Hinde, Christian Wagner and Uwe Aickelin | A Fuzzy Directional Distance Measure | Proceedings of the 2014 World Congress on Computational Intelligence
(WCCI 2014), pp. 141-148, 2014 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The measure of distance between two fuzzy sets is a fundamental tool within
fuzzy set theory, however, distance measures currently within the literature
use a crisp value to represent the distance between fuzzy sets. A real valued
distance measure is developed into a fuzzy distance measure which better
reflects the u... | [
{
"created": "Wed, 3 Sep 2014 11:48:23 GMT",
"version": "v1"
}
] | 2014-09-04 | [
[
"McCullochy",
"Josie C.",
""
],
[
"Hinde",
"Chris J.",
""
],
[
"Wagner",
"Christian",
""
],
[
"Aickelin",
"Uwe",
""
]
] | The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory, however, distance measures currently within the literature use a crisp value to represent the distance between fuzzy sets. A real valued distance measure is developed into a fuzzy distance measure which better reflects the unc... |
1712.01329 | Dana Kianfar | Mircea Mironenco, Dana Kianfar, Ke Tran, Evangelos Kanoulas,
Efstratios Gavves | Examining Cooperation in Visual Dialog Models | 9 pages, 5 figures, 2 tables, code at
http://github.com/danakianfar/Examining-Cooperation-in-VDM/ | null | null | null | cs.CV cs.AI cs.CL cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose a blackbox intervention method for visual dialog
models, with the aim of assessing the contribution of individual linguistic or
visual components. Concretely, we conduct structured or randomized
interventions that aim to impair an individual component of the model, and
observe changes in task ... | [
{
"created": "Mon, 4 Dec 2017 20:16:52 GMT",
"version": "v1"
}
] | 2017-12-06 | [
[
"Mironenco",
"Mircea",
""
],
[
"Kianfar",
"Dana",
""
],
[
"Tran",
"Ke",
""
],
[
"Kanoulas",
"Evangelos",
""
],
[
"Gavves",
"Efstratios",
""
]
] | In this work we propose a blackbox intervention method for visual dialog models, with the aim of assessing the contribution of individual linguistic or visual components. Concretely, we conduct structured or randomized interventions that aim to impair an individual component of the model, and observe changes in task pe... |
1909.05569 | Michal Kleinbort | Michal Kleinbort, Edgar Granados, Kiril Solovey, Riccardo Bonalli,
Kostas E. Bekris, Dan Halperin | Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the
State-Cost Space | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel analysis of AO-RRT: a tree-based planner for motion
planning with kinodynamic constraints, originally described by Hauser and Zhou
(AO-X, 2016). AO-RRT explores the state-cost space and has been shown to
efficiently obtain high-quality solutions in practice without relying on the
availability of a ... | [
{
"created": "Thu, 12 Sep 2019 11:18:55 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Sep 2019 04:58:54 GMT",
"version": "v2"
},
{
"created": "Mon, 9 Mar 2020 14:43:35 GMT",
"version": "v3"
}
] | 2020-03-10 | [
[
"Kleinbort",
"Michal",
""
],
[
"Granados",
"Edgar",
""
],
[
"Solovey",
"Kiril",
""
],
[
"Bonalli",
"Riccardo",
""
],
[
"Bekris",
"Kostas E.",
""
],
[
"Halperin",
"Dan",
""
]
] | We present a novel analysis of AO-RRT: a tree-based planner for motion planning with kinodynamic constraints, originally described by Hauser and Zhou (AO-X, 2016). AO-RRT explores the state-cost space and has been shown to efficiently obtain high-quality solutions in practice without relying on the availability of a co... |
1511.08987 | Napas Udomsak | Napas Udomsak | How do the naive Bayes classifier and the Support Vector Machine compare
in their ability to forecast the Stock Exchange of Thailand? | 16 pages | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | This essay investigates the question of how the naive Bayes classifier and
the support vector machine compare in their ability to forecast the Stock
Exchange of Thailand. The theory behind the SVM and the naive Bayes classifier
is explored. The algorithms are trained using data from the month of January
2010, extract... | [
{
"created": "Sun, 29 Nov 2015 09:57:42 GMT",
"version": "v1"
}
] | 2015-12-01 | [
[
"Udomsak",
"Napas",
""
]
] | This essay investigates the question of how the naive Bayes classifier and the support vector machine compare in their ability to forecast the Stock Exchange of Thailand. The theory behind the SVM and the naive Bayes classifier is explored. The algorithms are trained using data from the month of January 2010, extracted... |
2401.15688 | Zhenyu Wang | Zhenyu Wang, Enze Xie, Aoxue Li, Zhongdao Wang, Xihui Liu, Zhenguo Li | Divide and Conquer: Language Models can Plan and Self-Correct for
Compositional Text-to-Image Generation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Despite significant advancements in text-to-image models for generating
high-quality images, these methods still struggle to ensure the controllability
of text prompts over images in the context of complex text prompts, especially
when it comes to retaining object attributes and relationships. In this paper,
we propo... | [
{
"created": "Sun, 28 Jan 2024 16:18:39 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Jan 2024 13:05:13 GMT",
"version": "v2"
}
] | 2024-01-31 | [
[
"Wang",
"Zhenyu",
""
],
[
"Xie",
"Enze",
""
],
[
"Li",
"Aoxue",
""
],
[
"Wang",
"Zhongdao",
""
],
[
"Liu",
"Xihui",
""
],
[
"Li",
"Zhenguo",
""
]
] | Despite significant advancements in text-to-image models for generating high-quality images, these methods still struggle to ensure the controllability of text prompts over images in the context of complex text prompts, especially when it comes to retaining object attributes and relationships. In this paper, we propose... |
1601.06043 | Junaid Qadir | Sana Habib, Junaid Qadir, Anwaar Ali, Durdana Habib, Ming Li, Arjuna
Sathiaseelan | The Past, Present, and Future of Transport-Layer Multipath | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multipathing in communication networks is gaining momentum due to its
attractive features of increased reliability, throughput, fault tolerance, and
load balancing capabilities. In particular, wireless environments and
datacenters are envisioned to become largely dependent on the power of
multipathing for seamless ha... | [
{
"created": "Fri, 22 Jan 2016 15:38:11 GMT",
"version": "v1"
}
] | 2016-01-25 | [
[
"Habib",
"Sana",
""
],
[
"Qadir",
"Junaid",
""
],
[
"Ali",
"Anwaar",
""
],
[
"Habib",
"Durdana",
""
],
[
"Li",
"Ming",
""
],
[
"Sathiaseelan",
"Arjuna",
""
]
] | Multipathing in communication networks is gaining momentum due to its attractive features of increased reliability, throughput, fault tolerance, and load balancing capabilities. In particular, wireless environments and datacenters are envisioned to become largely dependent on the power of multipathing for seamless hand... |
1010.4603 | Aravind Iyengar | Aravind R. Iyengar, Paul H. Siegel, Jack K. Wolf | Write Channel Model for Bit-Patterned Media Recording | 11 pages, 12 figures, journal | null | 10.1109/TMAG.2010.2080667 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new write channel model for bit-patterned media recording that
reflects the data dependence of write synchronization errors. It is shown that
this model accommodates both substitution-like errors and insertion-deletion
errors whose statistics are determined by an underlying channel state process.
We stud... | [
{
"created": "Fri, 22 Oct 2010 02:28:04 GMT",
"version": "v1"
}
] | 2011-06-02 | [
[
"Iyengar",
"Aravind R.",
""
],
[
"Siegel",
"Paul H.",
""
],
[
"Wolf",
"Jack K.",
""
]
] | We propose a new write channel model for bit-patterned media recording that reflects the data dependence of write synchronization errors. It is shown that this model accommodates both substitution-like errors and insertion-deletion errors whose statistics are determined by an underlying channel state process. We study ... |
2202.04620 | Md Morshed Alam | Md Morshed Alam, Md Sajidul Islam Sajid, Weichao Wang, Jinpeng Wei
(Department of Software and Information Systems, University of North Carolina
at Charlotte, Charlotte, USA) | IoTMonitor: A Hidden Markov Model-based Security System to Identify
Crucial Attack Nodes in Trigger-action IoT Platforms | This paper appears in the 2022 IEEE Wireless Communications and
Networking Conference (WCNC 2022). Personal use of this material is
permitted. Permission from IEEE must be obtained for all other uses | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | With the emergence and fast development of trigger-action platforms in IoT
settings, security vulnerabilities caused by the interactions among IoT devices
become more prevalent. The event occurrence at one device triggers an action in
another device, which may eventually contribute to the creation of a chain of
event... | [
{
"created": "Wed, 9 Feb 2022 18:36:42 GMT",
"version": "v1"
}
] | 2022-02-10 | [
[
"Alam",
"Md Morshed",
"",
"Department of Software and Information Systems, University of North Carolina\n at Charlotte, Charlotte, USA"
],
[
"Sajid",
"Md Sajidul Islam",
"",
"Department of Software and Information Systems, University of North Carolina\n at Charlotte, Charlott... | With the emergence and fast development of trigger-action platforms in IoT settings, security vulnerabilities caused by the interactions among IoT devices become more prevalent. The event occurrence at one device triggers an action in another device, which may eventually contribute to the creation of a chain of events ... |
2406.07497 | Judith Dineley Dr | Nicholas Cummins, Lauren L. White, Zahia Rahman, Catriona Lucas, Tian
Pan, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. Dobson and Judith
Dineley | A pilot protocol and cohort for the investigation of non-pathological
variability in speech | 29 pages. Pre peer review | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Background Speech-based biomarkers have potential as a means for regular,
objective assessment of symptom severity, remotely and in-clinic in combination
with advanced analytical models. However, the complex nature of speech and the
often subtle changes associated with health mean that findings are highly
dependent o... | [
{
"created": "Tue, 11 Jun 2024 17:32:28 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Cummins",
"Nicholas",
""
],
[
"White",
"Lauren L.",
""
],
[
"Rahman",
"Zahia",
""
],
[
"Lucas",
"Catriona",
""
],
[
"Pan",
"Tian",
""
],
[
"Carr",
"Ewan",
""
],
[
"Matcham",
"Faith",
""
],
[
"Downs... | Background Speech-based biomarkers have potential as a means for regular, objective assessment of symptom severity, remotely and in-clinic in combination with advanced analytical models. However, the complex nature of speech and the often subtle changes associated with health mean that findings are highly dependent on ... |
2005.07427 | Chen Luo | Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li,
Haifeng Chen | Structural Temporal Graph Neural Networks for Anomaly Detection in
Dynamic Graphs | null | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detecting anomalies in dynamic graphs is a vital task, with numerous
practical applications in areas such as security, finance, and social media.
Previous network embedding based methods have been mostly focusing on learning
good node representations, whereas largely ignoring the subgraph structural
changes related t... | [
{
"created": "Fri, 15 May 2020 09:17:08 GMT",
"version": "v1"
},
{
"created": "Mon, 25 May 2020 08:38:54 GMT",
"version": "v2"
}
] | 2020-05-26 | [
[
"Cai",
"Lei",
""
],
[
"Chen",
"Zhengzhang",
""
],
[
"Luo",
"Chen",
""
],
[
"Gui",
"Jiaping",
""
],
[
"Ni",
"Jingchao",
""
],
[
"Li",
"Ding",
""
],
[
"Chen",
"Haifeng",
""
]
] | Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications in areas such as security, finance, and social media. Previous network embedding based methods have been mostly focusing on learning good node representations, whereas largely ignoring the subgraph structural changes related to ... |
2005.02470 | Zein Shaheen | Zein Shaheen, Gerhard Wohlgenannt, Bassel Zaity, Dmitry Mouromtsev,
Vadim Pak | Russian Natural Language Generation: Creation of a Language Modelling
Dataset and Evaluation with Modern Neural Architectures | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating coherent, grammatically correct, and meaningful text is very
challenging, however, it is crucial to many modern NLP systems. So far,
research has mostly focused on English language, for other languages both
standardized datasets, as well as experiments with state-of-the-art models, are
rare. In this work, ... | [
{
"created": "Tue, 5 May 2020 20:20:25 GMT",
"version": "v1"
}
] | 2020-05-07 | [
[
"Shaheen",
"Zein",
""
],
[
"Wohlgenannt",
"Gerhard",
""
],
[
"Zaity",
"Bassel",
""
],
[
"Mouromtsev",
"Dmitry",
""
],
[
"Pak",
"Vadim",
""
]
] | Generating coherent, grammatically correct, and meaningful text is very challenging, however, it is crucial to many modern NLP systems. So far, research has mostly focused on English language, for other languages both standardized datasets, as well as experiments with state-of-the-art models, are rare. In this work, we... |
1906.01069 | Deepan Muthirayan | Deepan Muthirayan, Dileep Kalathil, Sen Li, Kameshwar Poolla and
Pravin Varaiya | Selling Demand Response Using Options | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wholesale electricity markets in many jurisdictions use a two-settlement
structure: a day-ahead market for bulk power transactions and a real-time
market for fine-grain supply-demand balancing. This paper explores trading
demand response assets within this two-settlement market structure. We consider
two approaches f... | [
{
"created": "Mon, 3 Jun 2019 20:34:13 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Mar 2020 04:33:52 GMT",
"version": "v2"
},
{
"created": "Fri, 13 Mar 2020 00:35:07 GMT",
"version": "v3"
},
{
"created": "Mon, 20 Jul 2020 23:13:45 GMT",
"version": "v4"
},
{
"cr... | 2020-08-04 | [
[
"Muthirayan",
"Deepan",
""
],
[
"Kalathil",
"Dileep",
""
],
[
"Li",
"Sen",
""
],
[
"Poolla",
"Kameshwar",
""
],
[
"Varaiya",
"Pravin",
""
]
] | Wholesale electricity markets in many jurisdictions use a two-settlement structure: a day-ahead market for bulk power transactions and a real-time market for fine-grain supply-demand balancing. This paper explores trading demand response assets within this two-settlement market structure. We consider two approaches for... |
2008.01365 | Zehao Huang | Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang | 1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object
Detection Track | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this technical report, we present our solutions of Waymo Open Dataset
(WOD) Challenge 2020 - 2D Object Track. We adopt FPN as our basic framework.
Cascade RCNN, stacked PAFPN Neck and Double-Head are used for performance
improvements. In order to handle the small object detection problem in WOD, we
use very large ... | [
{
"created": "Tue, 4 Aug 2020 06:46:28 GMT",
"version": "v1"
}
] | 2020-08-05 | [
[
"Huang",
"Zehao",
""
],
[
"Chen",
"Zehui",
""
],
[
"Li",
"Qiaofei",
""
],
[
"Zhang",
"Hongkai",
""
],
[
"Wang",
"Naiyan",
""
]
] | In this technical report, we present our solutions of Waymo Open Dataset (WOD) Challenge 2020 - 2D Object Track. We adopt FPN as our basic framework. Cascade RCNN, stacked PAFPN Neck and Double-Head are used for performance improvements. In order to handle the small object detection problem in WOD, we use very large im... |
2111.08919 | Yaya Shi | Yaya Shi, Xu Yang, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu,
Zheng-Jun Zha | EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained
Embedding Matching | cvpr2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current metrics for video captioning are mostly based on the text-level
comparison between reference and candidate captions. However, they have some
insuperable drawbacks, e.g., they cannot handle videos without references, and
they may result in biased evaluation due to the one-to-many nature of
video-to-text and th... | [
{
"created": "Wed, 17 Nov 2021 06:02:43 GMT",
"version": "v1"
},
{
"created": "Sun, 17 Jul 2022 04:35:18 GMT",
"version": "v2"
}
] | 2022-07-19 | [
[
"Shi",
"Yaya",
""
],
[
"Yang",
"Xu",
""
],
[
"Xu",
"Haiyang",
""
],
[
"Yuan",
"Chunfeng",
""
],
[
"Li",
"Bing",
""
],
[
"Hu",
"Weiming",
""
],
[
"Zha",
"Zheng-Jun",
""
]
] | Current metrics for video captioning are mostly based on the text-level comparison between reference and candidate captions. However, they have some insuperable drawbacks, e.g., they cannot handle videos without references, and they may result in biased evaluation due to the one-to-many nature of video-to-text and the ... |
1709.08521 | Omar Al-Harbi | Omar Al-Harbi | Using objective words in the reviews to improve the colloquial arabic
sentiment analysis | 14 pages, 1 figure, International Journal on Natural Language
Computing (IJNLC) | International Journal on Natural Language Computing (IJNLC) Vol.
6, No.3, June 2017 | 10.5121/ijnlc | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the main difficulties in sentiment analysis of the Arabic language is
the presence of the colloquialism. In this paper, we examine the effect of
using objective words in conjunction with sentimental words on sentiment
classification for the colloquial Arabic reviews, specifically Jordanian
colloquial reviews. ... | [
{
"created": "Mon, 25 Sep 2017 14:40:28 GMT",
"version": "v1"
}
] | 2017-09-26 | [
[
"Al-Harbi",
"Omar",
""
]
] | One of the main difficulties in sentiment analysis of the Arabic language is the presence of the colloquialism. In this paper, we examine the effect of using objective words in conjunction with sentimental words on sentiment classification for the colloquial Arabic reviews, specifically Jordanian colloquial reviews. Th... |
2002.01078 | Mordechai Guri | Mordechai Guri, Dima Bykhovsky, Yuval Elovici | BRIGHTNESS: Leaking Sensitive Data from Air-Gapped Workstations via
Screen Brightness | 2019 12th CMI Conference on Cybersecurity and Privacy (CMI) | null | 10.1109/CMI48017.2019.8962137 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Air-gapped computers are systems that are kept isolated from the Internet
since they store or process sensitive information.
In this paper, we introduce an optical covert channel in which an attacker
can leak (or, exfiltlrate) sensitive information from air-gapped computers
through manipulations on the screen brigh... | [
{
"created": "Tue, 4 Feb 2020 01:25:44 GMT",
"version": "v1"
}
] | 2020-02-05 | [
[
"Guri",
"Mordechai",
""
],
[
"Bykhovsky",
"Dima",
""
],
[
"Elovici",
"Yuval",
""
]
] | Air-gapped computers are systems that are kept isolated from the Internet since they store or process sensitive information. In this paper, we introduce an optical covert channel in which an attacker can leak (or, exfiltlrate) sensitive information from air-gapped computers through manipulations on the screen brightnes... |
2312.10504 | Chi Zhang | Chi Zhang (1), Wenkai Xiang (1), Xingzhi Guo (2), Baojian Zhou (1),
Deqing Yang (1) ((1) Fudan University, Shanghai Key Laboratory of Data
Science, (2) Stony Brook University) | SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic
Graphs | null | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given a dynamic graph, the efficient tracking of anomalous subgraphs via
their node embeddings poses a significant challenge. Addressing this issue
necessitates an effective scoring mechanism and an innovative anomalous
subgraph strategy. Existing methods predominantly focus on designing scoring
strategies or employi... | [
{
"created": "Sat, 16 Dec 2023 17:18:30 GMT",
"version": "v1"
}
] | 2023-12-19 | [
[
"Zhang",
"Chi",
""
],
[
"Xiang",
"Wenkai",
""
],
[
"Guo",
"Xingzhi",
""
],
[
"Zhou",
"Baojian",
""
],
[
"Yang",
"Deqing",
""
]
] | Given a dynamic graph, the efficient tracking of anomalous subgraphs via their node embeddings poses a significant challenge. Addressing this issue necessitates an effective scoring mechanism and an innovative anomalous subgraph strategy. Existing methods predominantly focus on designing scoring strategies or employing... |
1810.09294 | Michael Taynnan Barros | Michael Taynnan Barros and Walisson Silva and Carlos Danilo Miranda
Regis | The Multi-Scale Impact of the Alzheimer's Disease in the Topology
Diversity of Astrocytes Molecular Communications Nanonetworks | Submitted to journal publication | null | null | null | cs.ET q-bio.MN | http://creativecommons.org/licenses/by/4.0/ | The Internet of Bio-Nano-Things is a new paradigm that can bring novel
remotely controlled actuation and sensing techniques inside the human body.
Towards precise bionano sensing techniques in the brain, we investigate the
challenges of modelling spatial distribution of astrocyte networks in
developing a mathematical... | [
{
"created": "Mon, 22 Oct 2018 13:54:43 GMT",
"version": "v1"
}
] | 2018-10-23 | [
[
"Barros",
"Michael Taynnan",
""
],
[
"Silva",
"Walisson",
""
],
[
"Regis",
"Carlos Danilo Miranda",
""
]
] | The Internet of Bio-Nano-Things is a new paradigm that can bring novel remotely controlled actuation and sensing techniques inside the human body. Towards precise bionano sensing techniques in the brain, we investigate the challenges of modelling spatial distribution of astrocyte networks in developing a mathematical f... |
1704.02738 | Xin Tao | Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, Jiaya Jia | Detail-revealing Deep Video Super-resolution | 9 pages, submitted to conference | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Previous CNN-based video super-resolution approaches need to align multiple
frames to the reference. In this paper, we show that proper frame alignment and
motion compensation is crucial for achieving high quality results. We
accordingly propose a `sub-pixel motion compensation' (SPMC) layer in a CNN
framework. Analy... | [
{
"created": "Mon, 10 Apr 2017 07:28:27 GMT",
"version": "v1"
}
] | 2017-04-11 | [
[
"Tao",
"Xin",
""
],
[
"Gao",
"Hongyun",
""
],
[
"Liao",
"Renjie",
""
],
[
"Wang",
"Jue",
""
],
[
"Jia",
"Jiaya",
""
]
] | Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results. We accordingly propose a `sub-pixel motion compensation' (SPMC) layer in a CNN framework. Analysi... |
2306.00356 | Hyunsu Kim | Hyunsu Kim, Hyungi Lee, Hongseok Yang, and Juho Lee | Regularizing Towards Soft Equivariance Under Mixed Symmetries | Proceedings of the International Conference on Machine Learning
(ICML), 2023 | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Datasets often have their intrinsic symmetries, and particular deep-learning
models called equivariant or invariant models have been developed to exploit
these symmetries. However, if some or all of these symmetries are only
approximate, which frequently happens in practice, these models may be
suboptimal due to the ... | [
{
"created": "Thu, 1 Jun 2023 05:33:41 GMT",
"version": "v1"
}
] | 2023-06-02 | [
[
"Kim",
"Hyunsu",
""
],
[
"Lee",
"Hyungi",
""
],
[
"Yang",
"Hongseok",
""
],
[
"Lee",
"Juho",
""
]
] | Datasets often have their intrinsic symmetries, and particular deep-learning models called equivariant or invariant models have been developed to exploit these symmetries. However, if some or all of these symmetries are only approximate, which frequently happens in practice, these models may be suboptimal due to the ar... |
1707.00825 | Juan Colmenares | Juan A. Colmenares, Reza Dorrigiv and Daniel G. Waddington | Ingestion, Indexing and Retrieval of High-Velocity Multidimensional
Sensor Data on a Single Node | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multidimensional data are becoming more prevalent, partly due to the rise of
the Internet of Things (IoT), and with that the need to ingest and analyze data
streams at rates higher than before. Some industrial IoT applications require
ingesting millions of records per second, while processing queries on recently
inge... | [
{
"created": "Tue, 4 Jul 2017 06:30:37 GMT",
"version": "v1"
}
] | 2017-07-05 | [
[
"Colmenares",
"Juan A.",
""
],
[
"Dorrigiv",
"Reza",
""
],
[
"Waddington",
"Daniel G.",
""
]
] | Multidimensional data are becoming more prevalent, partly due to the rise of the Internet of Things (IoT), and with that the need to ingest and analyze data streams at rates higher than before. Some industrial IoT applications require ingesting millions of records per second, while processing queries on recently ingest... |
1910.06437 | Sebastiano Vigna | Sebastiano Vigna | It is high time we let go of the Mersenne Twister | null | null | null | null | cs.DS cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When the Mersenne Twister made his first appearance in 1997 it was a powerful
example of how linear maps on $\mathbf F_2$ could be used to generate
pseudorandom numbers. In particular, the easiness with which generators with
long periods could be defined gave the Mersenne Twister a large following, in
spite of the fa... | [
{
"created": "Mon, 14 Oct 2019 21:44:14 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Nov 2019 14:50:14 GMT",
"version": "v2"
}
] | 2019-11-15 | [
[
"Vigna",
"Sebastiano",
""
]
] | When the Mersenne Twister made his first appearance in 1997 it was a powerful example of how linear maps on $\mathbf F_2$ could be used to generate pseudorandom numbers. In particular, the easiness with which generators with long periods could be defined gave the Mersenne Twister a large following, in spite of the fact... |
1510.00225 | Frederick Benaben | Matthieu Lauras, Frederick Benaben, Sebastien Truptil, Aurelie Charles
(UL2) | Event-Cloud Platform to Support Decision- Making in Emergency Management | null | Information Systems Frontiers, Springer Verlag (Germany), 2015, 17
(4), pp.857-869 | 10.1007/s10796-013-9475-0 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The challenge of this paper is to underline the capability of an Event-Cloud
Platform to support efficiently an emergency situation. We chose to focus on a
nuclear crisis use case. The proposed approach consists in modeling the
business processes of crisis response on the one hand, and in supporting the
orchestration... | [
{
"created": "Thu, 1 Oct 2015 13:34:44 GMT",
"version": "v1"
}
] | 2015-10-02 | [
[
"Lauras",
"Matthieu",
"",
"UL2"
],
[
"Benaben",
"Frederick",
"",
"UL2"
],
[
"Truptil",
"Sebastien",
"",
"UL2"
],
[
"Charles",
"Aurelie",
"",
"UL2"
]
] | The challenge of this paper is to underline the capability of an Event-Cloud Platform to support efficiently an emergency situation. We chose to focus on a nuclear crisis use case. The proposed approach consists in modeling the business processes of crisis response on the one hand, and in supporting the orchestration a... |
2209.08353 | Fengxin Li | Zhaoxin Fan, Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du | Human Pose Driven Object Effects Recommendation | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we research the new topic of object effects recommendation in
micro-video platforms, which is a challenging but important task for many
practical applications such as advertisement insertion. To avoid the problem of
introducing background bias caused by directly learning video content from
image frames... | [
{
"created": "Sat, 17 Sep 2022 15:32:54 GMT",
"version": "v1"
}
] | 2022-09-20 | [
[
"Fan",
"Zhaoxin",
""
],
[
"Li",
"Fengxin",
""
],
[
"Liu",
"Hongyan",
""
],
[
"He",
"Jun",
""
],
[
"Du",
"Xiaoyong",
""
]
] | In this paper, we research the new topic of object effects recommendation in micro-video platforms, which is a challenging but important task for many practical applications such as advertisement insertion. To avoid the problem of introducing background bias caused by directly learning video content from image frames, ... |
2010.01243 | Yae Jee Cho | Yae Jee Cho and Jianyu Wang and Gauri Joshi | Client Selection in Federated Learning: Convergence Analysis and
Power-of-Choice Selection Strategies | null | null | null | null | cs.LG cs.DC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning is a distributed optimization paradigm that enables a
large number of resource-limited client nodes to cooperatively train a model
without data sharing. Several works have analyzed the convergence of federated
learning by accounting of data heterogeneity, communication and computation
limitations, ... | [
{
"created": "Sat, 3 Oct 2020 01:04:17 GMT",
"version": "v1"
}
] | 2020-10-06 | [
[
"Cho",
"Yae Jee",
""
],
[
"Wang",
"Jianyu",
""
],
[
"Joshi",
"Gauri",
""
]
] | Federated learning is a distributed optimization paradigm that enables a large number of resource-limited client nodes to cooperatively train a model without data sharing. Several works have analyzed the convergence of federated learning by accounting of data heterogeneity, communication and computation limitations, an... |
1704.03822 | Wenzhen Yuan | Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, Edward Adelson | Connecting Look and Feel: Associating the visual and tactile properties
of physical materials | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For machines to interact with the physical world, they must understand the
physical properties of objects and materials they encounter. We use fabrics as
an example of a deformable material with a rich set of mechanical properties. A
thin flexible fabric, when draped, tends to look different from a heavy stiff
fabric... | [
{
"created": "Wed, 12 Apr 2017 16:28:14 GMT",
"version": "v1"
}
] | 2017-04-13 | [
[
"Yuan",
"Wenzhen",
""
],
[
"Wang",
"Shaoxiong",
""
],
[
"Dong",
"Siyuan",
""
],
[
"Adelson",
"Edward",
""
]
] | For machines to interact with the physical world, they must understand the physical properties of objects and materials they encounter. We use fabrics as an example of a deformable material with a rich set of mechanical properties. A thin flexible fabric, when draped, tends to look different from a heavy stiff fabric. ... |
2404.18239 | Jinghan Jia | Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal,
James Diffenderfer, Bhavya Kailkhura, Sijia Liu | SOUL: Unlocking the Power of Second-Order Optimization for LLM
Unlearning | null | null | null | null | cs.LG cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) have highlighted the necessity of effective
unlearning mechanisms to comply with data regulations and ethical AI practices.
LLM unlearning aims at removing undesired data influences and associated model
capabilities without compromising utility beyond the scope of unlearning. While
intere... | [
{
"created": "Sun, 28 Apr 2024 16:31:32 GMT",
"version": "v1"
},
{
"created": "Fri, 31 May 2024 17:38:51 GMT",
"version": "v2"
},
{
"created": "Mon, 3 Jun 2024 01:10:53 GMT",
"version": "v3"
},
{
"created": "Mon, 24 Jun 2024 20:24:53 GMT",
"version": "v4"
}
] | 2024-06-26 | [
[
"Jia",
"Jinghan",
""
],
[
"Zhang",
"Yihua",
""
],
[
"Zhang",
"Yimeng",
""
],
[
"Liu",
"Jiancheng",
""
],
[
"Runwal",
"Bharat",
""
],
[
"Diffenderfer",
"James",
""
],
[
"Kailkhura",
"Bhavya",
""
],
[
... | Large Language Models (LLMs) have highlighted the necessity of effective unlearning mechanisms to comply with data regulations and ethical AI practices. LLM unlearning aims at removing undesired data influences and associated model capabilities without compromising utility beyond the scope of unlearning. While interest... |
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