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1404.3840
Chaochao Lu
Chaochao Lu, Xiaoou Tang
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace
Appearing in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), Oral Presentation
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face verification remains a challenging problem in very complex conditions with large variations such as pose, illumination, expression, and occlusions. This problem is exacerbated when we rely unrealistically on a single training data source, which is often insufficient to cover the intrinsically complex face variat...
[ { "created": "Tue, 15 Apr 2014 07:51:23 GMT", "version": "v1" }, { "created": "Mon, 16 Jun 2014 14:37:38 GMT", "version": "v2" }, { "created": "Sat, 20 Dec 2014 03:37:36 GMT", "version": "v3" } ]
2014-12-23
[ [ "Lu", "Chaochao", "" ], [ "Tang", "Xiaoou", "" ] ]
Face verification remains a challenging problem in very complex conditions with large variations such as pose, illumination, expression, and occlusions. This problem is exacerbated when we rely unrealistically on a single training data source, which is often insufficient to cover the intrinsically complex face variatio...
2401.00910
Saravanabalagi Ramachandran
Saravanabalagi Ramachandran and Nathaniel Cibik and Ganesh Sistu and John McDonald
WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge
CVPR 2023 OmniCV Workshop Challenge
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Motion segmentation is a complex yet indispensable task in autonomous driving. The challenges introduced by the ego-motion of the cameras, radial distortion in fisheye lenses, and the need for temporal consistency make the task more complicated, rendering traditional and standard Convolutional Neural Network (CNN) ap...
[ { "created": "Sun, 31 Dec 2023 23:53:50 GMT", "version": "v1" }, { "created": "Tue, 16 Jan 2024 16:28:58 GMT", "version": "v2" } ]
2024-01-17
[ [ "Ramachandran", "Saravanabalagi", "" ], [ "Cibik", "Nathaniel", "" ], [ "Sistu", "Ganesh", "" ], [ "McDonald", "John", "" ] ]
Motion segmentation is a complex yet indispensable task in autonomous driving. The challenges introduced by the ego-motion of the cameras, radial distortion in fisheye lenses, and the need for temporal consistency make the task more complicated, rendering traditional and standard Convolutional Neural Network (CNN) appr...
2406.09804
Arne Symons
Steven Colleman, Arne Symons, Victor J.B. Jung, Marian Verhelst
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms
Accepted to ISQED2024
null
null
null
cs.AR
http://creativecommons.org/licenses/by/4.0/
The impact of transformer networks is booming, yet, they come with significant computational complexity. It is therefore essential to understand how to optimally map and execute these networks on modern neural processor hardware. So far, literature on transformer scheduling optimization has been focusing on deploymen...
[ { "created": "Fri, 14 Jun 2024 07:56:37 GMT", "version": "v1" } ]
2024-06-17
[ [ "Colleman", "Steven", "" ], [ "Symons", "Arne", "" ], [ "Jung", "Victor J. B.", "" ], [ "Verhelst", "Marian", "" ] ]
The impact of transformer networks is booming, yet, they come with significant computational complexity. It is therefore essential to understand how to optimally map and execute these networks on modern neural processor hardware. So far, literature on transformer scheduling optimization has been focusing on deployment ...
2004.00055
Simon DeDeo
Scott Viteri and Simon DeDeo
Epistemic Phase Transitions in Mathematical Proofs
22 pages, 5 figures. Matches published version. Supplementary information available at https://www.sciencedirect.com/science/article/pii/S0010027722001081
Cognition, 225, 105120 (2022)
10.1016/j.cognition.2022.105120
null
cs.SC cs.AI math.HO physics.soc-ph q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mathematical proofs are both paradigms of certainty and some of the most explicitly-justified arguments that we have in the cultural record. Their very explicitness, however, leads to a paradox, because the probability of error grows exponentially as the argument expands. When a mathematician encounters a proof, how ...
[ { "created": "Tue, 31 Mar 2020 18:39:56 GMT", "version": "v1" }, { "created": "Tue, 12 Apr 2022 15:25:22 GMT", "version": "v2" } ]
2022-04-13
[ [ "Viteri", "Scott", "" ], [ "DeDeo", "Simon", "" ] ]
Mathematical proofs are both paradigms of certainty and some of the most explicitly-justified arguments that we have in the cultural record. Their very explicitness, however, leads to a paradox, because the probability of error grows exponentially as the argument expands. When a mathematician encounters a proof, how do...
2404.04068
Filip Seitl
Filip Seitl, Tom\'a\v{s} Kov\'a\v{r}\'ik, Soheyla Mirshahi, Jan Kry\v{s}t\r{u}fek, Rastislav Dujava, Mat\'u\v{s} Ondrei\v{c}ka, Herbert Ullrich, Petr Gronat
Assessing the quality of information extraction
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Advances in large language models have notably enhanced the efficiency of information extraction from unstructured and semi-structured data sources. As these technologies become integral to various applications, establishing an objective measure for the quality of information extraction becomes imperative. However, t...
[ { "created": "Fri, 5 Apr 2024 12:51:48 GMT", "version": "v1" }, { "created": "Wed, 22 May 2024 09:04:52 GMT", "version": "v2" } ]
2024-05-24
[ [ "Seitl", "Filip", "" ], [ "Kovářík", "Tomáš", "" ], [ "Mirshahi", "Soheyla", "" ], [ "Kryštůfek", "Jan", "" ], [ "Dujava", "Rastislav", "" ], [ "Ondreička", "Matúš", "" ], [ "Ullrich", "Herbert", "" ], ...
Advances in large language models have notably enhanced the efficiency of information extraction from unstructured and semi-structured data sources. As these technologies become integral to various applications, establishing an objective measure for the quality of information extraction becomes imperative. However, the...
1910.01713
Vadim Arzamasov
Vadim Arzamasov and Klemens B\"ohm
REDS: Rule Extraction for Discovering Scenarios
null
null
10.1145/3448016.3457301
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scenario discovery is the process of finding areas of interest, known as scenarios, in data spaces resulting from simulations. For instance, one might search for conditions, i.e., inputs of the simulation model, where the system is unstable. Subgroup discovery methods are commonly used for scenario discovery. They fi...
[ { "created": "Thu, 3 Oct 2019 20:40:18 GMT", "version": "v1" }, { "created": "Thu, 5 May 2022 11:13:58 GMT", "version": "v2" } ]
2022-05-06
[ [ "Arzamasov", "Vadim", "" ], [ "Böhm", "Klemens", "" ] ]
Scenario discovery is the process of finding areas of interest, known as scenarios, in data spaces resulting from simulations. For instance, one might search for conditions, i.e., inputs of the simulation model, where the system is unstable. Subgroup discovery methods are commonly used for scenario discovery. They find...
2206.07082
Yunwen Lei
Yunwen Lei
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
To appear in COLT 2023
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Stochastic optimization has found wide applications in minimizing objective functions in machine learning, which motivates a lot of theoretical studies to understand its practical success. Most of existing studies focus on the convergence of optimization errors, while the generalization analysis of stochastic optimiz...
[ { "created": "Tue, 14 Jun 2022 18:14:30 GMT", "version": "v1" }, { "created": "Wed, 21 Jun 2023 09:07:46 GMT", "version": "v2" }, { "created": "Tue, 18 Jul 2023 02:00:40 GMT", "version": "v3" } ]
2023-07-19
[ [ "Lei", "Yunwen", "" ] ]
Stochastic optimization has found wide applications in minimizing objective functions in machine learning, which motivates a lot of theoretical studies to understand its practical success. Most of existing studies focus on the convergence of optimization errors, while the generalization analysis of stochastic optimizat...
1711.00520
Yuxuan Wang
Yuxuan Wang, RJ Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous
Uncovering Latent Style Factors for Expressive Speech Synthesis
Submitted to NIPS ML4Audio workshop and ICASSP
null
null
null
cs.CL cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prosodic modeling is a core problem in speech synthesis. The key challenge is producing desirable prosody from textual input containing only phonetic information. In this preliminary study, we introduce the concept of "style tokens" in Tacotron, a recently proposed end-to-end neural speech synthesis model. Using styl...
[ { "created": "Wed, 1 Nov 2017 19:40:00 GMT", "version": "v1" } ]
2017-11-03
[ [ "Wang", "Yuxuan", "" ], [ "Skerry-Ryan", "RJ", "" ], [ "Xiao", "Ying", "" ], [ "Stanton", "Daisy", "" ], [ "Shor", "Joel", "" ], [ "Battenberg", "Eric", "" ], [ "Clark", "Rob", "" ], [ "Saurous", ...
Prosodic modeling is a core problem in speech synthesis. The key challenge is producing desirable prosody from textual input containing only phonetic information. In this preliminary study, we introduce the concept of "style tokens" in Tacotron, a recently proposed end-to-end neural speech synthesis model. Using style ...
1504.01949
Fran\c{c}ois Dross
Fran\c{c}ois Dross, Mickael Montassier and Alexandre Pinlou
A lower bound on the order of the largest induced forest in planar graphs with high girth
12 pages, 6 figures. arXiv admin note: text overlap with arXiv:1409.1348
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give here new upper bounds on the size of a smallest feedback vertex set in planar graphs with high girth. In particular, we prove that a planar graph with girth $g$ and size $m$ has a feedback vertex set of size at most $\frac{4m}{3g}$, improving the trivial bound of $\frac{2m}{g}$. We also prove that every $2$-c...
[ { "created": "Wed, 8 Apr 2015 13:16:17 GMT", "version": "v1" } ]
2015-04-09
[ [ "Dross", "François", "" ], [ "Montassier", "Mickael", "" ], [ "Pinlou", "Alexandre", "" ] ]
We give here new upper bounds on the size of a smallest feedback vertex set in planar graphs with high girth. In particular, we prove that a planar graph with girth $g$ and size $m$ has a feedback vertex set of size at most $\frac{4m}{3g}$, improving the trivial bound of $\frac{2m}{g}$. We also prove that every $2$-con...
2002.00837
Enyan Dai
Enyan Dai, Yiwei Sun, Suhang Wang
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository
null
null
null
null
cs.SI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, Internet is a primary source of attaining health information. Massive fake health news which is spreading over the Internet, has become a severe threat to public health. Numerous studies and research works have been done in fake news detection domain, however, few of them are designed to cope with the chall...
[ { "created": "Mon, 27 Jan 2020 17:27:58 GMT", "version": "v1" }, { "created": "Mon, 30 Mar 2020 06:08:08 GMT", "version": "v2" } ]
2020-03-31
[ [ "Dai", "Enyan", "" ], [ "Sun", "Yiwei", "" ], [ "Wang", "Suhang", "" ] ]
Nowadays, Internet is a primary source of attaining health information. Massive fake health news which is spreading over the Internet, has become a severe threat to public health. Numerous studies and research works have been done in fake news detection domain, however, few of them are designed to cope with the challen...
1805.07256
Petr Svarny
Petr \v{S}varn\'y and Mat\v{e}j Hoffmann
Safety of human-robot interaction through tactile sensors and peripersonal space representations
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Human-robot collaboration including close physical human-robot interaction (pHRI) is a current trend in industry and also science. The safety guidelines prescribe two modes of safety: (i) power and force limitation and (ii) speed and separation monitoring. We examine the potential of robots equipped with artificial s...
[ { "created": "Fri, 18 May 2018 14:55:08 GMT", "version": "v1" } ]
2018-05-21
[ [ "Švarný", "Petr", "" ], [ "Hoffmann", "Matěj", "" ] ]
Human-robot collaboration including close physical human-robot interaction (pHRI) is a current trend in industry and also science. The safety guidelines prescribe two modes of safety: (i) power and force limitation and (ii) speed and separation monitoring. We examine the potential of robots equipped with artificial sen...
cs/0701166
Jim Gray
Jim Gray, Catharine van Ingen
Empirical Measurements of Disk Failure Rates and Error Rates
null
null
null
MSR-TR-2005-166
cs.DB cs.AR
null
The SATA advertised bit error rate of one error in 10 terabytes is frightening. We moved 2 PB through low-cost hardware and saw five disk read error events, several controller failures, and many system reboots caused by security patches. We conclude that SATA uncorrectable read errors are not yet a dominant system-fa...
[ { "created": "Fri, 26 Jan 2007 00:29:02 GMT", "version": "v1" } ]
2007-05-23
[ [ "Gray", "Jim", "" ], [ "van Ingen", "Catharine", "" ] ]
The SATA advertised bit error rate of one error in 10 terabytes is frightening. We moved 2 PB through low-cost hardware and saw five disk read error events, several controller failures, and many system reboots caused by security patches. We conclude that SATA uncorrectable read errors are not yet a dominant system-faul...
1604.01200
Zhong-Yuan Zhang
Zhong-Yuan Zhang and Yujie Gai and Yu-Fei Wang and Hui-Min Cheng and Xin Liu
On Equivalence of Likelihood Maximization of Stochastic Block Model and Constrained Nonnegative Matrix Factorization
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Community structures detection in complex network is important for understanding not only the topological structures of the network, but also the functions of it. Stochastic block model and nonnegative matrix factorization are two widely used methods for community detection, which are proposed from different perspect...
[ { "created": "Tue, 5 Apr 2016 09:47:34 GMT", "version": "v1" }, { "created": "Tue, 26 Apr 2016 14:51:32 GMT", "version": "v2" }, { "created": "Thu, 8 Dec 2016 14:40:41 GMT", "version": "v3" }, { "created": "Wed, 19 Apr 2017 08:17:29 GMT", "version": "v4" }, { "cre...
2017-07-11
[ [ "Zhang", "Zhong-Yuan", "" ], [ "Gai", "Yujie", "" ], [ "Wang", "Yu-Fei", "" ], [ "Cheng", "Hui-Min", "" ], [ "Liu", "Xin", "" ] ]
Community structures detection in complex network is important for understanding not only the topological structures of the network, but also the functions of it. Stochastic block model and nonnegative matrix factorization are two widely used methods for community detection, which are proposed from different perspectiv...
1908.09961
Kien Do
Kien Do and Truyen Tran
Theory and Evaluation Metrics for Learning Disentangled Representations
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We make two theoretical contributions to disentanglement learning by (a) defining precise semantics of disentangled representations, and (b) establishing robust metrics for evaluation. First, we characterize the concept "disentangled representations" used in supervised and unsupervised methods along three dimensions-...
[ { "created": "Mon, 26 Aug 2019 23:55:11 GMT", "version": "v1" }, { "created": "Tue, 4 Feb 2020 21:08:15 GMT", "version": "v2" }, { "created": "Thu, 18 Mar 2021 22:59:04 GMT", "version": "v3" } ]
2021-03-22
[ [ "Do", "Kien", "" ], [ "Tran", "Truyen", "" ] ]
We make two theoretical contributions to disentanglement learning by (a) defining precise semantics of disentangled representations, and (b) establishing robust metrics for evaluation. First, we characterize the concept "disentangled representations" used in supervised and unsupervised methods along three dimensions-in...
2210.12776
Boel Nelson
Boel Nelson, Elena Pagnin, Aslan Askarov
Metadata Privacy Beyond Tunneling for Instant Messaging
To appear at the 9th IEEE European Symposium on Security and Privacy
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Transport layer data leaks metadata unintentionally -- such as who communicates with whom. While tools for strong transport layer privacy exist, they have adoption obstacles, including performance overheads incompatible with mobile devices. We posit that by changing the objective of metadata privacy for $\textit{all ...
[ { "created": "Sun, 23 Oct 2022 16:32:35 GMT", "version": "v1" }, { "created": "Thu, 25 May 2023 14:50:47 GMT", "version": "v2" }, { "created": "Wed, 6 Mar 2024 15:29:00 GMT", "version": "v3" } ]
2024-03-07
[ [ "Nelson", "Boel", "" ], [ "Pagnin", "Elena", "" ], [ "Askarov", "Aslan", "" ] ]
Transport layer data leaks metadata unintentionally -- such as who communicates with whom. While tools for strong transport layer privacy exist, they have adoption obstacles, including performance overheads incompatible with mobile devices. We posit that by changing the objective of metadata privacy for $\textit{all tr...
1908.01887
Yusuke Urakami
Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel
DoorGym: A Scalable Door Opening Environment And Baseline Agent
Accepted to NeurIPS2019 Deep Reinforcement Learning Workshop. Full version
null
null
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to practically implement the door opening task, a policy ought to be robust to a wide distribution of door types and environment settings. Reinforcement Learning (RL) with Domain Randomization (DR) is a promising technique to enforce policy generalization, however, there are only a few accessible training en...
[ { "created": "Mon, 5 Aug 2019 22:20:32 GMT", "version": "v1" }, { "created": "Wed, 7 Aug 2019 17:21:36 GMT", "version": "v2" }, { "created": "Wed, 13 May 2020 07:56:55 GMT", "version": "v3" }, { "created": "Tue, 24 May 2022 07:15:00 GMT", "version": "v4" } ]
2022-05-25
[ [ "Urakami", "Yusuke", "" ], [ "Hodgkinson", "Alec", "" ], [ "Carlin", "Casey", "" ], [ "Leu", "Randall", "" ], [ "Rigazio", "Luca", "" ], [ "Abbeel", "Pieter", "" ] ]
In order to practically implement the door opening task, a policy ought to be robust to a wide distribution of door types and environment settings. Reinforcement Learning (RL) with Domain Randomization (DR) is a promising technique to enforce policy generalization, however, there are only a few accessible training envi...
2002.11833
Jean Harb
Jean Harb, Tom Schaul, Doina Precup and Pierre-Luc Bacon
Policy Evaluation Networks
12 pages, 11 figures
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many reinforcement learning algorithms use value functions to guide the search for better policies. These methods estimate the value of a single policy while generalizing across many states. The core idea of this paper is to flip this convention and estimate the value of many policies, for a single set of states. Thi...
[ { "created": "Wed, 26 Feb 2020 23:00:27 GMT", "version": "v1" } ]
2020-02-28
[ [ "Harb", "Jean", "" ], [ "Schaul", "Tom", "" ], [ "Precup", "Doina", "" ], [ "Bacon", "Pierre-Luc", "" ] ]
Many reinforcement learning algorithms use value functions to guide the search for better policies. These methods estimate the value of a single policy while generalizing across many states. The core idea of this paper is to flip this convention and estimate the value of many policies, for a single set of states. This ...
2304.08993
Rui Li
Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
Accepted by CVPR 2023. Code and models are available at: https://github.com/ruili3/dynamic-multiframe-depth
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-frame depth estimation generally achieves high accuracy relying on the multi-view geometric consistency. When applied in dynamic scenes, e.g., autonomous driving, this consistency is usually violated in the dynamic areas, leading to corrupted estimations. Many multi-frame methods handle dynamic areas by identif...
[ { "created": "Tue, 18 Apr 2023 13:55:24 GMT", "version": "v1" } ]
2023-04-19
[ [ "Li", "Rui", "" ], [ "Gong", "Dong", "" ], [ "Yin", "Wei", "" ], [ "Chen", "Hao", "" ], [ "Zhu", "Yu", "" ], [ "Wang", "Kaixuan", "" ], [ "Chen", "Xiaozhi", "" ], [ "Sun", "Jinqiu", "" ], ...
Multi-frame depth estimation generally achieves high accuracy relying on the multi-view geometric consistency. When applied in dynamic scenes, e.g., autonomous driving, this consistency is usually violated in the dynamic areas, leading to corrupted estimations. Many multi-frame methods handle dynamic areas by identifyi...
0708.3019
Ananthanarayanan Chockalingam
D. Sreedhar, A. Chockalingam, B. Sundar Rajan
Single-Symbol ML Decodable Distributed STBCs for Partially-Coherent Cooperative Networks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Space-time block codes (STBCs) that are single-symbol decodable (SSD) in a co-located multiple antenna setting need not be SSD in a distributed cooperative communication setting. A relay network with N relays and a single source-destination pair is called a partially-coherent relay channel (PCRC) if the destination h...
[ { "created": "Wed, 22 Aug 2007 13:58:36 GMT", "version": "v1" }, { "created": "Sat, 29 Nov 2008 04:34:11 GMT", "version": "v2" } ]
2008-11-29
[ [ "Sreedhar", "D.", "" ], [ "Chockalingam", "A.", "" ], [ "Rajan", "B. Sundar", "" ] ]
Space-time block codes (STBCs) that are single-symbol decodable (SSD) in a co-located multiple antenna setting need not be SSD in a distributed cooperative communication setting. A relay network with N relays and a single source-destination pair is called a partially-coherent relay channel (PCRC) if the destination has...
2102.12621
Ba Dung Le Dr
Ba Dung Le and Tanveer Zia
Discrete Distribution Estimation with Local Differential Privacy: A Comparative Analysis
Accepted for publication to SPT-IoT 2021: The Fifth Workshop on Security, Privacy and Trust in the Internet of Things
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Local differential privacy is a promising privacy-preserving model for statistical aggregation of user data that prevents user privacy leakage from the data aggregator. This paper focuses on the problem of estimating the distribution of discrete user values with Local differential privacy. We review and present a com...
[ { "created": "Thu, 25 Feb 2021 01:32:06 GMT", "version": "v1" } ]
2021-02-26
[ [ "Le", "Ba Dung", "" ], [ "Zia", "Tanveer", "" ] ]
Local differential privacy is a promising privacy-preserving model for statistical aggregation of user data that prevents user privacy leakage from the data aggregator. This paper focuses on the problem of estimating the distribution of discrete user values with Local differential privacy. We review and present a compa...
2005.06420
James Henderson
James Henderson
The Unstoppable Rise of Computational Linguistics in Deep Learning
13 pages. Accepted for publication at ACL 2020, in the theme track
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we trace the history of neural networks applied to natural language understanding tasks, and identify key contributions which the nature of language has made to the development of neural network architectures. We focus on the importance of variable binding and its instantiation in attention-based model...
[ { "created": "Wed, 13 May 2020 16:51:02 GMT", "version": "v1" }, { "created": "Sun, 17 May 2020 10:07:40 GMT", "version": "v2" }, { "created": "Thu, 11 Jun 2020 07:58:28 GMT", "version": "v3" } ]
2020-06-12
[ [ "Henderson", "James", "" ] ]
In this paper, we trace the history of neural networks applied to natural language understanding tasks, and identify key contributions which the nature of language has made to the development of neural network architectures. We focus on the importance of variable binding and its instantiation in attention-based models,...
2303.05847
Xuanhua Yang
Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang and Bo Zheng
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning
5 pages, 3 figures
null
null
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-task learning (MTL) has been widely applied in online advertising and recommender systems. To address the negative transfer issue, recent studies have proposed optimization methods that thoroughly focus on the gradient alignment of directions or magnitudes. However, since prior study has proven that both genera...
[ { "created": "Fri, 10 Mar 2023 10:42:21 GMT", "version": "v1" } ]
2023-03-13
[ [ "Yang", "Xuanhua", "" ], [ "Zhao", "Jianxin", "" ], [ "Liu", "Shaoguo", "" ], [ "Wang", "Liang", "" ], [ "Zheng", "Bo", "" ] ]
Multi-task learning (MTL) has been widely applied in online advertising and recommender systems. To address the negative transfer issue, recent studies have proposed optimization methods that thoroughly focus on the gradient alignment of directions or magnitudes. However, since prior study has proven that both general ...
1806.09852
EPTCS
Kasper Dokter (CWI), Farhad Arbab (CWI)
Treo: Textual Syntax for Reo Connectors
In Proceedings MeTRiD 2018, arXiv:1806.09330
EPTCS 272, 2018, pp. 121-135
10.4204/EPTCS.272.10
null
cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reo is an interaction-centric model of concurrency for compositional specification of communication and coordination protocols. Formal verification tools exist to ensure correctness and compliance of protocols specified in Reo, which can readily be (re)used in different applications, or composed into more complex pro...
[ { "created": "Tue, 26 Jun 2018 08:55:13 GMT", "version": "v1" } ]
2018-06-27
[ [ "Dokter", "Kasper", "", "CWI" ], [ "Arbab", "Farhad", "", "CWI" ] ]
Reo is an interaction-centric model of concurrency for compositional specification of communication and coordination protocols. Formal verification tools exist to ensure correctness and compliance of protocols specified in Reo, which can readily be (re)used in different applications, or composed into more complex proto...
1703.05539
Sven Hug
Sven E. Hug, Martin P. Braendle
The coverage of Microsoft Academic: Analyzing the publication output of a university
null
null
10.1007/s11192-017-2535-3
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This is the first detailed study on the coverage of Microsoft Academic (MA). Based on the complete and verified publication list of a university, the coverage of MA was assessed and compared with two benchmark databases, Scopus and Web of Science (WoS), on the level of individual publications. Citation counts were an...
[ { "created": "Thu, 16 Mar 2017 09:56:33 GMT", "version": "v1" }, { "created": "Thu, 20 Apr 2017 23:29:36 GMT", "version": "v2" }, { "created": "Thu, 11 May 2017 13:06:37 GMT", "version": "v3" }, { "created": "Mon, 25 Sep 2017 17:42:22 GMT", "version": "v4" } ]
2019-08-06
[ [ "Hug", "Sven E.", "" ], [ "Braendle", "Martin P.", "" ] ]
This is the first detailed study on the coverage of Microsoft Academic (MA). Based on the complete and verified publication list of a university, the coverage of MA was assessed and compared with two benchmark databases, Scopus and Web of Science (WoS), on the level of individual publications. Citation counts were anal...
1911.03897
Yaoyiran Li
Yaoyiran Li, Jing Jiang
Two-Headed Monster And Crossed Co-Attention Networks
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper presents some preliminary investigations of a new co-attention mechanism in neural transduction models. We propose a paradigm, termed Two-Headed Monster (THM), which consists of two symmetric encoder modules and one decoder module connected with co-attention. As a specific and concrete implementation of TH...
[ { "created": "Sun, 10 Nov 2019 10:55:12 GMT", "version": "v1" } ]
2019-11-12
[ [ "Li", "Yaoyiran", "" ], [ "Jiang", "Jing", "" ] ]
This paper presents some preliminary investigations of a new co-attention mechanism in neural transduction models. We propose a paradigm, termed Two-Headed Monster (THM), which consists of two symmetric encoder modules and one decoder module connected with co-attention. As a specific and concrete implementation of THM,...
2309.12650
Yixin Chen
Yixin Chen, Ourui Fu, Wenrui Shao, Zhaoheng Xie
FP-PET: Large Model, Multiple Loss And Focused Practice
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study presents FP-PET, a comprehensive approach to medical image segmentation with a focus on CT and PET images. Utilizing a dataset from the AutoPet2023 Challenge, the research employs a variety of machine learning models, including STUNet-large, SwinUNETR, and VNet, to achieve state-of-the-art segmentation per...
[ { "created": "Fri, 22 Sep 2023 06:44:28 GMT", "version": "v1" } ]
2023-09-25
[ [ "Chen", "Yixin", "" ], [ "Fu", "Ourui", "" ], [ "Shao", "Wenrui", "" ], [ "Xie", "Zhaoheng", "" ] ]
This study presents FP-PET, a comprehensive approach to medical image segmentation with a focus on CT and PET images. Utilizing a dataset from the AutoPet2023 Challenge, the research employs a variety of machine learning models, including STUNet-large, SwinUNETR, and VNet, to achieve state-of-the-art segmentation perfo...
1810.12646
Uwe Reichel
Uwe D. Reichel and Katalin M\'ady and Jennifer Cole
Prosodic entrainment in dialog acts
This manuscript is under revision. Please contact the authors for information about updates
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We examined prosodic entrainment in spoken dialogs separately for several dialog acts in cooperative and competitive games. Entrainment was measured for intonation features derived from a superpositional intonation stylization as well as for rhythm features. The found differences can be related to the cooperative or ...
[ { "created": "Tue, 30 Oct 2018 10:53:42 GMT", "version": "v1" } ]
2018-10-31
[ [ "Reichel", "Uwe D.", "" ], [ "Mády", "Katalin", "" ], [ "Cole", "Jennifer", "" ] ]
We examined prosodic entrainment in spoken dialogs separately for several dialog acts in cooperative and competitive games. Entrainment was measured for intonation features derived from a superpositional intonation stylization as well as for rhythm features. The found differences can be related to the cooperative or co...
1210.5908
Carlos Gershenson
Keith D. Farnsworth, John Nelson and Carlos Gershenson
Living is information processing: from molecules to global systems
28 pages, 2 figures
Acta Biotheoretica, 61(2):203-222. 2013
10.1007/s10441-013-9179-3
null
cs.IT math.IT physics.bio-ph q-bio.OT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We extend the concept that life is an informational phenomenon, at every level of organisation, from molecules to the global ecological system. According to this thesis: (a) living is information processing, in which memory is maintained by both molecular states and ecological states as well as the more obvious nucle...
[ { "created": "Mon, 22 Oct 2012 14:42:31 GMT", "version": "v1" }, { "created": "Fri, 1 Mar 2013 16:10:43 GMT", "version": "v2" } ]
2014-02-17
[ [ "Farnsworth", "Keith D.", "" ], [ "Nelson", "John", "" ], [ "Gershenson", "Carlos", "" ] ]
We extend the concept that life is an informational phenomenon, at every level of organisation, from molecules to the global ecological system. According to this thesis: (a) living is information processing, in which memory is maintained by both molecular states and ecological states as well as the more obvious nucleic...
1906.01127
Zequn Wang
Narendra Patwardhan and Zequn Wang
Proximal Reliability Optimization for Reinforcement Learning
12 pages, 6 figures
null
null
null
cs.LG cs.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the numerous advances, reinforcement learning remains away from widespread acceptance for autonomous controller design as compared to classical methods due to lack of ability to effectively tackle the reality gap. The reliance on absolute or deterministic reward as a metric for optimization process renders re...
[ { "created": "Mon, 3 Jun 2019 23:43:16 GMT", "version": "v1" } ]
2019-06-05
[ [ "Patwardhan", "Narendra", "" ], [ "Wang", "Zequn", "" ] ]
Despite the numerous advances, reinforcement learning remains away from widespread acceptance for autonomous controller design as compared to classical methods due to lack of ability to effectively tackle the reality gap. The reliance on absolute or deterministic reward as a metric for optimization process renders rein...
2103.08783
Devlin Gualtieri Ph.D.
Devlin Gualtieri
One-Time Pads from the Digits of Pi
12 page PDF file (5 page article with 7 pages of computer source code). Comments are welcome
null
null
null
cs.OH
http://creativecommons.org/licenses/by-sa/4.0/
I present a method for generating one-time pads from the digits of pi. Computer code is given to generate such pads from passphrases in a method having an extremely low probability (<10^-53) of a successful discovery of the one-time pads by a brute-force attack. The advantages and disadvantages of this method are dis...
[ { "created": "Tue, 16 Mar 2021 00:34:44 GMT", "version": "v1" } ]
2021-03-17
[ [ "Gualtieri", "Devlin", "" ] ]
I present a method for generating one-time pads from the digits of pi. Computer code is given to generate such pads from passphrases in a method having an extremely low probability (<10^-53) of a successful discovery of the one-time pads by a brute-force attack. The advantages and disadvantages of this method are discu...
2107.14590
Yiyang Li
GuoLiang Li and Yiyang Li
Residual Tree Aggregation of Layers for Neural Machine Translation
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Although attention-based Neural Machine Translation has achieved remarkable progress in recent layers, it still suffers from issue of making insufficient use of the output of each layer. In transformer, it only uses the top layer of encoder and decoder in the subsequent process, which makes it impossible to take adva...
[ { "created": "Mon, 19 Jul 2021 09:32:10 GMT", "version": "v1" } ]
2021-08-02
[ [ "Li", "GuoLiang", "" ], [ "Li", "Yiyang", "" ] ]
Although attention-based Neural Machine Translation has achieved remarkable progress in recent layers, it still suffers from issue of making insufficient use of the output of each layer. In transformer, it only uses the top layer of encoder and decoder in the subsequent process, which makes it impossible to take advant...
2408.01129
Haohao Qu
Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Xin Xu, Qing Li
A Survey of Mamba
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning, as a vital technique, has sparked a notable revolution in artificial intelligence. As the most representative architecture, Transformers have empowered numerous advanced models, especially the large language models that comprise billions of parameters, becoming a cornerstone in deep learning. Despite t...
[ { "created": "Fri, 2 Aug 2024 09:18:41 GMT", "version": "v1" } ]
2024-08-05
[ [ "Qu", "Haohao", "" ], [ "Ning", "Liangbo", "" ], [ "An", "Rui", "" ], [ "Fan", "Wenqi", "" ], [ "Derr", "Tyler", "" ], [ "Xu", "Xin", "" ], [ "Li", "Qing", "" ] ]
Deep learning, as a vital technique, has sparked a notable revolution in artificial intelligence. As the most representative architecture, Transformers have empowered numerous advanced models, especially the large language models that comprise billions of parameters, becoming a cornerstone in deep learning. Despite the...
1910.09134
Jiaying Lu
Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning
null
CVPR'2022 Workshop on Open-Domain Retrieval Under a Multi-Modal Setting
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple-choice VQA has drawn increasing attention from researchers and end-users recently. As the demand for automatically constructing large-scale multiple-choice VQA data grows, we introduce a novel task called textual Distractors Generation for VQA (DG-VQA) focusing on generating challenging yet meaningful distra...
[ { "created": "Mon, 21 Oct 2019 03:32:17 GMT", "version": "v1" }, { "created": "Sat, 27 Mar 2021 21:01:47 GMT", "version": "v2" }, { "created": "Mon, 18 Apr 2022 19:44:03 GMT", "version": "v3" } ]
2022-04-20
[ [ "Lu", "Jiaying", "" ], [ "Ye", "Xin", "" ], [ "Ren", "Yi", "" ], [ "Yang", "Yezhou", "" ] ]
Multiple-choice VQA has drawn increasing attention from researchers and end-users recently. As the demand for automatically constructing large-scale multiple-choice VQA data grows, we introduce a novel task called textual Distractors Generation for VQA (DG-VQA) focusing on generating challenging yet meaningful distract...
1911.11881
Yifei Fan
Chao Tang, Yifei Fan, Anthony Yezzi
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense
NeurIPS-2019 Workshop on Safety and Robustness in Decision Making
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The safety and robustness of learning-based decision-making systems are under threats from adversarial examples, as imperceptible perturbations can mislead neural networks to completely different outputs. In this paper, we present an adaptive view of the issue via evaluating various test-time smoothing defense agains...
[ { "created": "Tue, 26 Nov 2019 23:45:25 GMT", "version": "v1" } ]
2019-11-28
[ [ "Tang", "Chao", "" ], [ "Fan", "Yifei", "" ], [ "Yezzi", "Anthony", "" ] ]
The safety and robustness of learning-based decision-making systems are under threats from adversarial examples, as imperceptible perturbations can mislead neural networks to completely different outputs. In this paper, we present an adaptive view of the issue via evaluating various test-time smoothing defense against ...
2303.14464
Ana Ozaki
Emilia Przybysz and Bimal Bhattarai and Cosimo Persia and Ana Ozaki and Ole-Christoffer Granmo and Jivitesh Sharma
Verifying Properties of Tsetlin Machines
12 pages, accepted at ISTM (https://istm.no/)
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into propositional logic and formally verify properties of TsMs using a SAT solver. In particular, we introduce in this work a notion of similar...
[ { "created": "Sat, 25 Mar 2023 13:17:21 GMT", "version": "v1" }, { "created": "Sun, 2 Jul 2023 13:47:37 GMT", "version": "v2" } ]
2023-07-04
[ [ "Przybysz", "Emilia", "" ], [ "Bhattarai", "Bimal", "" ], [ "Persia", "Cosimo", "" ], [ "Ozaki", "Ana", "" ], [ "Granmo", "Ole-Christoffer", "" ], [ "Sharma", "Jivitesh", "" ] ]
Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into propositional logic and formally verify properties of TsMs using a SAT solver. In particular, we introduce in this work a notion of similarit...
0903.4796
Martin Vatshelle
B.-M. Bui-Xuan and J. A. Telle and M. Vatshelle (Department of Informatics, University of Bergen, Norway)
Fast FPT algorithms for vertex subset and vertex partitioning problems using neighborhood unions
The new version has runtimes expressed by number of equivalence classes, but no other changes
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the graph parameter boolean-width, related to the number of different unions of neighborhoods across a cut of a graph. Boolean-width is similar to rank-width, which is related to the number of $GF[2]$-sums (1+1=0) of neighborhoods instead of the boolean-sums (1+1=1) used for boolean-width. We give algori...
[ { "created": "Fri, 27 Mar 2009 13:34:08 GMT", "version": "v1" }, { "created": "Fri, 3 Apr 2009 07:24:30 GMT", "version": "v2" }, { "created": "Wed, 9 Mar 2011 15:17:52 GMT", "version": "v3" } ]
2011-03-10
[ [ "Bui-Xuan", "B. -M.", "", "Department of\n Informatics, University of Bergen, Norway" ], [ "Telle", "J. A.", "", "Department of\n Informatics, University of Bergen, Norway" ], [ "Vatshelle", "M.", "", "Department of\n Informatics, University of Bergen, No...
We introduce the graph parameter boolean-width, related to the number of different unions of neighborhoods across a cut of a graph. Boolean-width is similar to rank-width, which is related to the number of $GF[2]$-sums (1+1=0) of neighborhoods instead of the boolean-sums (1+1=1) used for boolean-width. We give algorith...
2309.13636
Ikechukwu Onyenwe
Nwafor Emmanuel O, Ngozi Maryrose Umeh, Ikechukwu Ekene Onyenwe
Development of an intelligent system for the detection of corona virus using artificial neural network
13 pages, 8 Figures
International Journal of Real-Time Application and Computing Systems (IJORTACS) Volume 1, Issue XI, November 2022, pp. 294-306
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after series of literature review which indicated that high fever accounts for 87.9% of the COVID-19 symptoms. 683 temperature data of COVID-19 patients at >= 38C^o were collect...
[ { "created": "Sun, 24 Sep 2023 13:30:50 GMT", "version": "v1" } ]
2023-09-26
[ [ "O", "Nwafor Emmanuel", "" ], [ "Umeh", "Ngozi Maryrose", "" ], [ "Onyenwe", "Ikechukwu Ekene", "" ] ]
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after series of literature review which indicated that high fever accounts for 87.9% of the COVID-19 symptoms. 683 temperature data of COVID-19 patients at >= 38C^o were collected...
1905.04779
Paolo Frasca
Francesco Acciani, Paolo Frasca, Geert Heijenk, Anton Stoorvogel
Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication
10 pages, 7 figures; submitted to journal
null
null
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is about obtaining stable vehicle platooning by using Cooperative Adaptive Cruise Control when the communication is unreliable and suffers from message losses. We model communication losses as independent random events and we propose an original design for the cooperative controller, which mitigates the ef...
[ { "created": "Sun, 12 May 2019 19:54:15 GMT", "version": "v1" } ]
2019-05-14
[ [ "Acciani", "Francesco", "" ], [ "Frasca", "Paolo", "" ], [ "Heijenk", "Geert", "" ], [ "Stoorvogel", "Anton", "" ] ]
This paper is about obtaining stable vehicle platooning by using Cooperative Adaptive Cruise Control when the communication is unreliable and suffers from message losses. We model communication losses as independent random events and we propose an original design for the cooperative controller, which mitigates the effe...
1702.08349
P{\aa}l Sunds{\o}y
P\r{a}l Sunds{\o}y
Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data
166 pages, PHD thesis
null
null
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Through seven publications this dissertation shows how anonymized mobile phone data can contribute to the social good and provide insights into human behaviour on a large scale. The size of the datasets analysed ranges from 500 million to 300 billion phone records, covering millions of people. The key contributions a...
[ { "created": "Mon, 27 Feb 2017 16:09:48 GMT", "version": "v1" } ]
2017-02-28
[ [ "Sundsøy", "Pål", "" ] ]
Through seven publications this dissertation shows how anonymized mobile phone data can contribute to the social good and provide insights into human behaviour on a large scale. The size of the datasets analysed ranges from 500 million to 300 billion phone records, covering millions of people. The key contributions are...
2306.04356
Lingfeng Yang
Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang
Fine-Grained Visual Prompting
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Vision-Language Models (VLMs), such as CLIP, have demonstrated impressive zero-shot transfer capabilities in image-level visual perception. However, these models have shown limited performance in instance-level tasks that demand precise localization and recognition. Previous works have suggested that incorporating vi...
[ { "created": "Wed, 7 Jun 2023 11:39:56 GMT", "version": "v1" }, { "created": "Tue, 12 Dec 2023 06:36:53 GMT", "version": "v2" } ]
2023-12-13
[ [ "Yang", "Lingfeng", "" ], [ "Wang", "Yueze", "" ], [ "Li", "Xiang", "" ], [ "Wang", "Xinlong", "" ], [ "Yang", "Jian", "" ] ]
Vision-Language Models (VLMs), such as CLIP, have demonstrated impressive zero-shot transfer capabilities in image-level visual perception. However, these models have shown limited performance in instance-level tasks that demand precise localization and recognition. Previous works have suggested that incorporating visu...
2202.08446
Kaiyuan Yang
Dai Li, Akhil Pakala, Kaiyuan Yang
MeNTT: A Compact and Efficient Processing-in-Memory Number Theoretic Transform (NTT) Accelerator
This paper has been accepted to IEEE Transactions on Very Large Scale Integration (TVLSI)
null
null
null
cs.CR cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lattice-based cryptography (LBC) exploiting Learning with Errors (LWE) problems is a promising candidate for post-quantum cryptography. Number theoretic transform (NTT) is the latency- and energy- dominant process in the computation of LWE problems. This paper presents a compact and efficient in-MEmory NTT accelerato...
[ { "created": "Thu, 17 Feb 2022 04:36:10 GMT", "version": "v1" } ]
2022-02-18
[ [ "Li", "Dai", "" ], [ "Pakala", "Akhil", "" ], [ "Yang", "Kaiyuan", "" ] ]
Lattice-based cryptography (LBC) exploiting Learning with Errors (LWE) problems is a promising candidate for post-quantum cryptography. Number theoretic transform (NTT) is the latency- and energy- dominant process in the computation of LWE problems. This paper presents a compact and efficient in-MEmory NTT accelerator,...
1303.0462
M.M.A. Hashem
Moslema Jahan, M. M. A. Hashem and Gazi Abdullah Shahriar
Distributed Evolutionary Computation: A New Technique for Solving Large Number of Equations
null
International Journal of Parallel and Distributed Systems (IJPDS), Vol. 2, No.6, pp.31-49,(2011)
10.5121/ijdps.2011.2604
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Evolutionary computation techniques have mostly been used to solve various optimization and learning problems successfully. Evolutionary algorithm is more effective to gain optimal solution(s) to solve complex problems than traditional methods. In case of problems with large set of parameters, evolutionary computatio...
[ { "created": "Sun, 3 Mar 2013 05:38:41 GMT", "version": "v1" } ]
2013-03-05
[ [ "Jahan", "Moslema", "" ], [ "Hashem", "M. M. A.", "" ], [ "Shahriar", "Gazi Abdullah", "" ] ]
Evolutionary computation techniques have mostly been used to solve various optimization and learning problems successfully. Evolutionary algorithm is more effective to gain optimal solution(s) to solve complex problems than traditional methods. In case of problems with large set of parameters, evolutionary computation ...
1910.02065
Oana-Maria Camburu
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
null
NeurIPS 2019 Workshop on Safety and Robustness in Decision Making, Vancouver, Canada
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For AI systems to garner widespread public acceptance, we must develop methods capable of explaining the decisions of black-box models such as neural networks. In this work, we identify two issues of current explanatory methods. First, we show that two prevalent perspectives on explanations --- feature-additivity and...
[ { "created": "Fri, 4 Oct 2019 17:44:36 GMT", "version": "v1" }, { "created": "Wed, 9 Oct 2019 14:58:47 GMT", "version": "v2" }, { "created": "Thu, 5 Dec 2019 13:41:46 GMT", "version": "v3" } ]
2019-12-06
[ [ "Camburu", "Oana-Maria", "" ], [ "Giunchiglia", "Eleonora", "" ], [ "Foerster", "Jakob", "" ], [ "Lukasiewicz", "Thomas", "" ], [ "Blunsom", "Phil", "" ] ]
For AI systems to garner widespread public acceptance, we must develop methods capable of explaining the decisions of black-box models such as neural networks. In this work, we identify two issues of current explanatory methods. First, we show that two prevalent perspectives on explanations --- feature-additivity and f...
2301.10901
Tao Jiang
Tao Jiang, Samuel Tan, Stephen Vavasis
Re-embedding data to strengthen recovery guarantees of clustering
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a clustering method that involves chaining four known techniques into a pipeline yielding an algorithm with stronger recovery guarantees than any of the four components separately. Given $n$ points in $\mathbb R^d$, the first component of our pipeline, which we call leapfrog distances, is reminiscent of de...
[ { "created": "Thu, 26 Jan 2023 02:15:11 GMT", "version": "v1" } ]
2023-01-27
[ [ "Jiang", "Tao", "" ], [ "Tan", "Samuel", "" ], [ "Vavasis", "Stephen", "" ] ]
We propose a clustering method that involves chaining four known techniques into a pipeline yielding an algorithm with stronger recovery guarantees than any of the four components separately. Given $n$ points in $\mathbb R^d$, the first component of our pipeline, which we call leapfrog distances, is reminiscent of dens...
0808.0234
S Birenjith
K. Sreeram, S. Birenjith, P. Vijay Kumar
DMT of Multi-hop Cooperative Networks - Part I: Basic Results
This submission is Part-I of a two-part paper, which is a detailed version of the previous submission arXiv:0802.1888
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this two-part paper, the DMT of cooperative multi-hop networks is examined. The focus is on single-source single-sink (ss-ss) multi-hop relay networks having slow-fading links and relays that potentially possess multiple antennas. The present paper examines the two end-points of the DMT of full-duplex networks. In...
[ { "created": "Sat, 2 Aug 2008 07:29:50 GMT", "version": "v1" } ]
2008-08-05
[ [ "Sreeram", "K.", "" ], [ "Birenjith", "S.", "" ], [ "Kumar", "P. Vijay", "" ] ]
In this two-part paper, the DMT of cooperative multi-hop networks is examined. The focus is on single-source single-sink (ss-ss) multi-hop relay networks having slow-fading links and relays that potentially possess multiple antennas. The present paper examines the two end-points of the DMT of full-duplex networks. In p...
2210.06779
Weichen Yu
Weichen Yu, Hongyuan Yu, Yan Huang, Liang Wang
Generalized Inter-class Loss for Gait Recognition
to be published in ACMMM 2022
null
10.1145/3503161.3548311
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic systems. Previous gait works focus more on minimizing the intra-class variance while ignoring the significance in constraining inter-class var...
[ { "created": "Thu, 13 Oct 2022 06:44:53 GMT", "version": "v1" } ]
2022-10-14
[ [ "Yu", "Weichen", "" ], [ "Yu", "Hongyuan", "" ], [ "Huang", "Yan", "" ], [ "Wang", "Liang", "" ] ]
Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic systems. Previous gait works focus more on minimizing the intra-class variance while ignoring the significance in constraining inter-class varia...
2110.09991
Kaiyu Zheng
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex
Towards Optimal Correlational Object Search
10 pages, 5 figures, 4 tables. IEEE Conference on Robotics and Automation (ICRA) 2022; minor fix in appendix & references
null
null
null
cs.RO cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
In realistic applications of object search, robots will need to locate target objects in complex environments while coping with unreliable sensors, especially for small or hard-to-detect objects. In such settings, correlational information can be valuable for planning efficiently. Previous approaches that consider co...
[ { "created": "Tue, 19 Oct 2021 14:03:43 GMT", "version": "v1" }, { "created": "Wed, 2 Mar 2022 05:42:32 GMT", "version": "v2" }, { "created": "Fri, 1 Apr 2022 14:23:38 GMT", "version": "v3" } ]
2022-04-04
[ [ "Zheng", "Kaiyu", "" ], [ "Chitnis", "Rohan", "" ], [ "Sung", "Yoonchang", "" ], [ "Konidaris", "George", "" ], [ "Tellex", "Stefanie", "" ] ]
In realistic applications of object search, robots will need to locate target objects in complex environments while coping with unreliable sensors, especially for small or hard-to-detect objects. In such settings, correlational information can be valuable for planning efficiently. Previous approaches that consider corr...
1203.3485
Matthew J. Johnson
Matthew J. Johnson, Alan Willsky
The Hierarchical Dirichlet Process Hidden Semi-Markov Model
Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)
null
null
UAI-P-2010-PG-252-259
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the traditional HMM. However, in many settings the HDP-HMM's strict Markovian constraints are undesirable, particularly if we wish to learn or encode non-geometric state duration...
[ { "created": "Thu, 15 Mar 2012 11:17:56 GMT", "version": "v1" } ]
2012-03-19
[ [ "Johnson", "Matthew J.", "" ], [ "Willsky", "Alan", "" ] ]
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the traditional HMM. However, in many settings the HDP-HMM's strict Markovian constraints are undesirable, particularly if we wish to learn or encode non-geometric state durations....
2002.02707
Gabriel John Dusing
Audris Mockus, Diomidis Spinellis, Zoe Kotti, Gabriel John Dusing
A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits
5 pages
null
10.1145/3379597.3387499
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to understand the state and evolution of the entirety of open source software we need to get a handle on the set of distinct software projects. Most of open source projects presently utilize Git, which is a distributed version control system allowing easy creation of clones and resulting in numerous reposito...
[ { "created": "Fri, 7 Feb 2020 10:47:30 GMT", "version": "v1" }, { "created": "Sun, 15 Mar 2020 23:50:46 GMT", "version": "v2" }, { "created": "Thu, 26 Mar 2020 16:03:34 GMT", "version": "v3" }, { "created": "Mon, 6 Apr 2020 17:11:49 GMT", "version": "v4" } ]
2020-04-07
[ [ "Mockus", "Audris", "" ], [ "Spinellis", "Diomidis", "" ], [ "Kotti", "Zoe", "" ], [ "Dusing", "Gabriel John", "" ] ]
In order to understand the state and evolution of the entirety of open source software we need to get a handle on the set of distinct software projects. Most of open source projects presently utilize Git, which is a distributed version control system allowing easy creation of clones and resulting in numerous repositori...
1503.07940
Ananda Theertha Suresh
Alon Orlitsky and Ananda Theertha Suresh
Competitive Distribution Estimation
15 pages
null
null
null
cs.IT cs.DS cs.LG math.IT math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimating an unknown distribution from its samples is a fundamental problem in statistics. The common, min-max, formulation of this goal considers the performance of the best estimator over all distributions in a class. It shows that with $n$ samples, distributions over $k$ symbols can be learned to a KL divergence ...
[ { "created": "Fri, 27 Mar 2015 01:41:48 GMT", "version": "v1" } ]
2015-03-30
[ [ "Orlitsky", "Alon", "" ], [ "Suresh", "Ananda Theertha", "" ] ]
Estimating an unknown distribution from its samples is a fundamental problem in statistics. The common, min-max, formulation of this goal considers the performance of the best estimator over all distributions in a class. It shows that with $n$ samples, distributions over $k$ symbols can be learned to a KL divergence th...
1612.05778
Ning Xie
Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Marc Moreno Maza, Ning Xie and Yuzhen Xie
Parallel Integer Polynomial Multiplication
null
null
null
null
cs.SC cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new algorithm for multiplying dense polynomials with integer coefficients in a parallel fashion, targeting multi-core processor architectures. Complexity estimates and experimental comparisons demonstrate the advantages of this new approach.
[ { "created": "Sat, 17 Dec 2016 14:54:52 GMT", "version": "v1" } ]
2016-12-20
[ [ "Chen", "Changbo", "" ], [ "Covanov", "Svyatoslav", "" ], [ "Mansouri", "Farnam", "" ], [ "Maza", "Marc Moreno", "" ], [ "Xie", "Ning", "" ], [ "Xie", "Yuzhen", "" ] ]
We propose a new algorithm for multiplying dense polynomials with integer coefficients in a parallel fashion, targeting multi-core processor architectures. Complexity estimates and experimental comparisons demonstrate the advantages of this new approach.
1709.01424
Maedeh Aghaei
Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton Ferrer, Petia Radeva
Towards social pattern characterization in egocentric photo-streams
42 pages, 14 figures. Submitted to Elsevier, Computer Vision and Image Understanding (Under Review)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Following the increasingly popular trend of social interaction analysis in egocentric vision, this manuscript presents a comprehensive study for automatic social pattern characterization of a wearable photo-camera user, by relying on the visual analysis of egocentric photo-streams. The proposed framework consists of ...
[ { "created": "Tue, 5 Sep 2017 14:50:00 GMT", "version": "v1" }, { "created": "Wed, 27 Sep 2017 16:02:18 GMT", "version": "v2" }, { "created": "Tue, 9 Jan 2018 11:14:53 GMT", "version": "v3" } ]
2018-01-10
[ [ "Aghaei", "Maedeh", "" ], [ "Dimiccoli", "Mariella", "" ], [ "Ferrer", "Cristian Canton", "" ], [ "Radeva", "Petia", "" ] ]
Following the increasingly popular trend of social interaction analysis in egocentric vision, this manuscript presents a comprehensive study for automatic social pattern characterization of a wearable photo-camera user, by relying on the visual analysis of egocentric photo-streams. The proposed framework consists of th...
1802.10217
Rachit Dubey
Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L. Griffiths, and Alexei A. Efros
Investigating Human Priors for Playing Video Games
ICML 2018
ICML 2018
null
null
cs.AI cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
What makes humans so good at solving seemingly complex video games? Unlike computers, humans bring in a great deal of prior knowledge about the world, enabling efficient decision making. This paper investigates the role of human priors for solving video games. Given a sample game, we conduct a series of ablation stud...
[ { "created": "Wed, 28 Feb 2018 00:26:44 GMT", "version": "v1" }, { "created": "Mon, 4 Jun 2018 20:32:21 GMT", "version": "v2" }, { "created": "Wed, 25 Jul 2018 02:33:41 GMT", "version": "v3" } ]
2018-07-26
[ [ "Dubey", "Rachit", "" ], [ "Agrawal", "Pulkit", "" ], [ "Pathak", "Deepak", "" ], [ "Griffiths", "Thomas L.", "" ], [ "Efros", "Alexei A.", "" ] ]
What makes humans so good at solving seemingly complex video games? Unlike computers, humans bring in a great deal of prior knowledge about the world, enabling efficient decision making. This paper investigates the role of human priors for solving video games. Given a sample game, we conduct a series of ablation studie...
1909.13332
Natalia Tomashenko
Natalia Tomashenko, Antoine Caubriere, Yannick Esteve, Antoine Laurent, Emmanuel Morin
Recent Advances in End-to-End Spoken Language Understanding
null
Statistical Language and Speech Processing. SLSP 2019
10.1007/978-3-030-31372-2_4
null
cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work investigates spoken language understanding (SLU) systems in the scenario when the semantic information is extracted directly from the speech signal by means of a single end-to-end neural network model. Two SLU tasks are considered: named entity recognition (NER) and semantic slot filling (SF). For these tas...
[ { "created": "Sun, 29 Sep 2019 18:01:00 GMT", "version": "v1" } ]
2019-10-29
[ [ "Tomashenko", "Natalia", "" ], [ "Caubriere", "Antoine", "" ], [ "Esteve", "Yannick", "" ], [ "Laurent", "Antoine", "" ], [ "Morin", "Emmanuel", "" ] ]
This work investigates spoken language understanding (SLU) systems in the scenario when the semantic information is extracted directly from the speech signal by means of a single end-to-end neural network model. Two SLU tasks are considered: named entity recognition (NER) and semantic slot filling (SF). For these tasks...
1905.01102
Spyros Gidaris
Spyros Gidaris, Nikos Komodakis
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Oral presentation at CVPR 2019. The code and models of our paper will be published on: https://github.com/gidariss/wDAE_GNN_FewShot
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given an initial recognition model already trained on a set of base classes, the goal of this work is to develop a meta-model for few-shot learning. The meta-model, given as input some novel classes with few training examples per class, must properly adapt the existing recognition model into a new model that can corr...
[ { "created": "Fri, 3 May 2019 10:11:54 GMT", "version": "v1" } ]
2019-05-06
[ [ "Gidaris", "Spyros", "" ], [ "Komodakis", "Nikos", "" ] ]
Given an initial recognition model already trained on a set of base classes, the goal of this work is to develop a meta-model for few-shot learning. The meta-model, given as input some novel classes with few training examples per class, must properly adapt the existing recognition model into a new model that can correc...
2309.14634
Yong-Hao Hu
Yong-Hao Hu, Kenichiro Ito, Ayumi Igarashi
Synchronizing Full-Body Avatar Transforms with WebRTC DataChannel on Educational Metaverse
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Full-body avatars are suggested to be beneficial for communication in virtual environments, and consistency between users' voices and gestures is considered essential to ensure communication quality. This paper propose extending the functionality of a web-based VR platform to support the use of full-body avatars and ...
[ { "created": "Tue, 26 Sep 2023 03:28:09 GMT", "version": "v1" } ]
2023-09-27
[ [ "Hu", "Yong-Hao", "" ], [ "Ito", "Kenichiro", "" ], [ "Igarashi", "Ayumi", "" ] ]
Full-body avatars are suggested to be beneficial for communication in virtual environments, and consistency between users' voices and gestures is considered essential to ensure communication quality. This paper propose extending the functionality of a web-based VR platform to support the use of full-body avatars and de...
2004.12699
Lucas Carvalho Cordeiro
Mikhail R. Gadelha, Lucas C. Cordeiro and Denis A. Nicole
An Efficient Floating-Point Bit-Blasting API for Verifying C Programs
20 pages
null
null
null
cs.LO cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a new SMT bit-blasting API for floating-points and evaluate it using different out-of-the-shelf SMT solvers during the verification of several C programs. The new floating-point API is part of the SMT backend in ESBMC, a state-of-the-art bounded model checker for C and C++. For the evaluation, we compared...
[ { "created": "Mon, 27 Apr 2020 10:40:04 GMT", "version": "v1" }, { "created": "Wed, 29 Apr 2020 09:13:04 GMT", "version": "v2" } ]
2020-04-30
[ [ "Gadelha", "Mikhail R.", "" ], [ "Cordeiro", "Lucas C.", "" ], [ "Nicole", "Denis A.", "" ] ]
We describe a new SMT bit-blasting API for floating-points and evaluate it using different out-of-the-shelf SMT solvers during the verification of several C programs. The new floating-point API is part of the SMT backend in ESBMC, a state-of-the-art bounded model checker for C and C++. For the evaluation, we compared o...
1803.06563
Spyridon Samothrakis
Spyridon Samothrakis
Viewpoint: Artificial Intelligence and Labour
null
null
null
null
cs.CY cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The welfare of modern societies has been intrinsically linked to wage labour. With some exceptions, the modern human has to sell her labour-power to be able reproduce biologically and socially. Thus, a lingering fear of technological unemployment features predominately as a theme among Artificial Intelligence researc...
[ { "created": "Sat, 17 Mar 2018 20:08:49 GMT", "version": "v1" } ]
2018-03-20
[ [ "Samothrakis", "Spyridon", "" ] ]
The welfare of modern societies has been intrinsically linked to wage labour. With some exceptions, the modern human has to sell her labour-power to be able reproduce biologically and socially. Thus, a lingering fear of technological unemployment features predominately as a theme among Artificial Intelligence researche...
2104.01276
Stephen MacDonell
Amjed Tahir, Sherlock A. Licorish and Stephen G. MacDonell
Feature Evolution and Reuse -- An Exploratory Study of Eclipse
Conference paper, 6 pages, 5 figures, 2 tables
Proceedings of the 24th Asia-Pacific Software Engineering Conference (APSEC2017). Nanjing, China, IEEE, pp.582-587
10.1109/APSEC.2017.69
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the purported ways to increase productivity and reduce development time is to reuse existing features and modules. If reuse is adopted, logically then, it will have a direct impact on a system's evolution. However, the evidence in the literature is not clear on the extent to which reuse is practiced in real-wo...
[ { "created": "Fri, 2 Apr 2021 23:50:53 GMT", "version": "v1" } ]
2021-04-06
[ [ "Tahir", "Amjed", "" ], [ "Licorish", "Sherlock A.", "" ], [ "MacDonell", "Stephen G.", "" ] ]
One of the purported ways to increase productivity and reduce development time is to reuse existing features and modules. If reuse is adopted, logically then, it will have a direct impact on a system's evolution. However, the evidence in the literature is not clear on the extent to which reuse is practiced in real-worl...
1504.00953
Constantinos Psomas
Constantinos Psomas, Ioannis Krikidis
Outage Analysis of Full-Duplex Architectures in Cellular Networks
to appear in Proc. IEEE VTC 2015 Spring, Glasgow
null
10.1109/VTCSpring.2015.7145989
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The implementation of full-duplex (FD) radio in wireless communications is a potential approach for achieving higher spectral efficiency. A possible application is its employment in the next generation of cellular networks. However, the performance of large-scale FD multiuser networks is an area mostly unexplored. Mo...
[ { "created": "Fri, 3 Apr 2015 22:32:36 GMT", "version": "v1" } ]
2016-11-17
[ [ "Psomas", "Constantinos", "" ], [ "Krikidis", "Ioannis", "" ] ]
The implementation of full-duplex (FD) radio in wireless communications is a potential approach for achieving higher spectral efficiency. A possible application is its employment in the next generation of cellular networks. However, the performance of large-scale FD multiuser networks is an area mostly unexplored. Most...
2206.03997
Benjamin Lion
Benjamin Lion, Farhad Arbab, Carolyn Talcott
A Rewriting Framework for Interacting Cyber-Physical Agents
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
The analysis of cyber-physical systems (CPS) is challenging due to the large state space and the continuous changes occurring in their constituent parts. Design practices favor modularity to help reducing this complexity. In a previous work, we proposed a discrete semantic model for CPS that captures both cyber and p...
[ { "created": "Wed, 8 Jun 2022 16:21:03 GMT", "version": "v1" }, { "created": "Tue, 2 Aug 2022 07:23:30 GMT", "version": "v2" } ]
2022-08-03
[ [ "Lion", "Benjamin", "" ], [ "Arbab", "Farhad", "" ], [ "Talcott", "Carolyn", "" ] ]
The analysis of cyber-physical systems (CPS) is challenging due to the large state space and the continuous changes occurring in their constituent parts. Design practices favor modularity to help reducing this complexity. In a previous work, we proposed a discrete semantic model for CPS that captures both cyber and phy...
2312.08697
Guoqing Chao
Guoqing Chao, Yi Jiang, Dianhui Chu
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
11pages, and it has been accepted by AAAI 2024
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Incomplete multi-view clustering becomes an important research problem, since multi-view data with missing values are ubiquitous in real-world applications. Although great efforts have been made for incomplete multi-view clustering, there are still some challenges: 1) most existing methods didn't make full use of mul...
[ { "created": "Thu, 14 Dec 2023 07:28:41 GMT", "version": "v1" } ]
2023-12-15
[ [ "Chao", "Guoqing", "" ], [ "Jiang", "Yi", "" ], [ "Chu", "Dianhui", "" ] ]
Incomplete multi-view clustering becomes an important research problem, since multi-view data with missing values are ubiquitous in real-world applications. Although great efforts have been made for incomplete multi-view clustering, there are still some challenges: 1) most existing methods didn't make full use of multi...
2202.08907
Holden Lee
Frederic Koehler and Holden Lee and Andrej Risteski
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods
43 pages
null
null
null
cs.DS cs.LG math.PR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider Ising models on the hypercube with a general interaction matrix $J$, and give a polynomial time sampling algorithm when all but $O(1)$ eigenvalues of $J$ lie in an interval of length one, a situation which occurs in many models of interest. This was previously known for the Glauber dynamics when *all* eig...
[ { "created": "Thu, 17 Feb 2022 21:43:50 GMT", "version": "v1" } ]
2022-02-21
[ [ "Koehler", "Frederic", "" ], [ "Lee", "Holden", "" ], [ "Risteski", "Andrej", "" ] ]
We consider Ising models on the hypercube with a general interaction matrix $J$, and give a polynomial time sampling algorithm when all but $O(1)$ eigenvalues of $J$ lie in an interval of length one, a situation which occurs in many models of interest. This was previously known for the Glauber dynamics when *all* eigen...
2201.12393
Matej Lieskovsk\'y
Matej Lieskovsk\'y (Computer Science Institute of Charles University, Faculty of Mathematics and Physics, Prague, Czechia. Partially supported by GA \v{C}R project 19-27871X.)
Better Algorithms for Online Bin Stretching via Computer Search
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by-sa/4.0/
We present an algorithm for computing upper bounds for the Online Bin Stretching Problem with a small number of bins and the resulting upper bounds for 4, 5 and 6 bins. This both demonstrates the possibility of using computer search for upper bounds on a fundamentally real-valued online problem and improves upon the ...
[ { "created": "Fri, 28 Jan 2022 19:50:34 GMT", "version": "v1" } ]
2022-02-01
[ [ "Lieskovský", "Matej", "", "Computer Science Institute of Charles University,\n Faculty of Mathematics and Physics, Prague, Czechia. Partially supported by\n GA ČR project 19-27871X." ] ]
We present an algorithm for computing upper bounds for the Online Bin Stretching Problem with a small number of bins and the resulting upper bounds for 4, 5 and 6 bins. This both demonstrates the possibility of using computer search for upper bounds on a fundamentally real-valued online problem and improves upon the be...
1604.05657
Rafael Rodrigues da Silva
Rafael Rodrigues da Silva, Bo Wu and Hai Lin
Formal Design of Robot Integrated Task and Motion Planning
Submitted to the 55th IEEE Conference on Decision and Control (CDC16)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrated Task and Motion Planning (ITMP) for mobile robots in a dynamic environment with moving obstacles is a challenging research question and attracts more and more attentions recently. Most existing methods either restrict to static environments or lack performance guarantees. This motivates us to investigate t...
[ { "created": "Tue, 19 Apr 2016 17:25:02 GMT", "version": "v1" }, { "created": "Thu, 15 Dec 2016 17:02:10 GMT", "version": "v2" } ]
2016-12-16
[ [ "da Silva", "Rafael Rodrigues", "" ], [ "Wu", "Bo", "" ], [ "Lin", "Hai", "" ] ]
Integrated Task and Motion Planning (ITMP) for mobile robots in a dynamic environment with moving obstacles is a challenging research question and attracts more and more attentions recently. Most existing methods either restrict to static environments or lack performance guarantees. This motivates us to investigate the...
2203.15108
Shashi Narayan
Shashi Narayan, Gon\c{c}alo Sim\~oes, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins and Mirella Lapata
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
21 pages, ACL 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We propose Composition Sampling, a simple but effective method to generate diverse outputs for conditional generation of higher quality compared to previous stochastic decoding strategies. It builds on recently proposed plan-based neural generation models (Narayan et al, 2021) that are trained to first create a compo...
[ { "created": "Mon, 28 Mar 2022 21:24:03 GMT", "version": "v1" } ]
2022-03-30
[ [ "Narayan", "Shashi", "" ], [ "Simões", "Gonçalo", "" ], [ "Zhao", "Yao", "" ], [ "Maynez", "Joshua", "" ], [ "Das", "Dipanjan", "" ], [ "Collins", "Michael", "" ], [ "Lapata", "Mirella", "" ] ]
We propose Composition Sampling, a simple but effective method to generate diverse outputs for conditional generation of higher quality compared to previous stochastic decoding strategies. It builds on recently proposed plan-based neural generation models (Narayan et al, 2021) that are trained to first create a composi...
1101.4632
Serguei Mokhov
Serguei A. Mokhov and Marc-Andr\'e Laverdi\`ere and Ali Benssam and Djamel Benredjem
A Secure Web-Based File Exchange Server: Software Requirements Specification Document
13 pages, 3 figures; a December 2005 report
null
null
null
cs.CR
http://creativecommons.org/licenses/by/3.0/
This document presents brief software specification of a secure file exchange system prototype involving mutual authentication of the users via their browser and the application server with PKI-based certificates as credentials, the use of LDAP for credential management, and authentication between the application and...
[ { "created": "Mon, 24 Jan 2011 19:49:14 GMT", "version": "v1" } ]
2011-01-25
[ [ "Mokhov", "Serguei A.", "" ], [ "Laverdière", "Marc-André", "" ], [ "Benssam", "Ali", "" ], [ "Benredjem", "Djamel", "" ] ]
This document presents brief software specification of a secure file exchange system prototype involving mutual authentication of the users via their browser and the application server with PKI-based certificates as credentials, the use of LDAP for credential management, and authentication between the application and d...
1401.6126
Andrew Gleibman Ph.D.
Andrew Gleibman
Delegating Custom Object Detection Tasks to a Universal Classification System
3 pages, 2 figures, 6 refs. arXiv admin note: substantial text overlap with arXiv:1310.7170
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a concept of multipurpose object detection system, recently introduced in our previous work, is clarified. The business aspect of this method is transformation of a classifier into an object detector/locator via an image grid. This is a universal framework for locating objects of interest through class...
[ { "created": "Thu, 19 Dec 2013 08:17:24 GMT", "version": "v1" } ]
2014-01-24
[ [ "Gleibman", "Andrew", "" ] ]
In this paper, a concept of multipurpose object detection system, recently introduced in our previous work, is clarified. The business aspect of this method is transformation of a classifier into an object detector/locator via an image grid. This is a universal framework for locating objects of interest through classif...
2305.13783
Guoming Huang
Shuqiao Huang, Xiru Wu, Guoming Huang
Deep Reinforcement Learning-based Multi-objective Path Planning on the Off-road Terrain Environment for Ground Vehicles
9 pages,8 figures
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the vastly different energy consumption between up-slope and down-slope, a path with the shortest length on a complex off-road terrain environment (2.5D map) is not always the path with the least energy consumption. For any energy-sensitive vehicle, realizing a good trade-off between distance and energy consum...
[ { "created": "Tue, 23 May 2023 07:53:35 GMT", "version": "v1" }, { "created": "Wed, 12 Jul 2023 11:13:20 GMT", "version": "v2" } ]
2023-07-13
[ [ "Huang", "Shuqiao", "" ], [ "Wu", "Xiru", "" ], [ "Huang", "Guoming", "" ] ]
Due to the vastly different energy consumption between up-slope and down-slope, a path with the shortest length on a complex off-road terrain environment (2.5D map) is not always the path with the least energy consumption. For any energy-sensitive vehicle, realizing a good trade-off between distance and energy consumpt...
2112.12966
Manmeet Singh
Manmeet Singh, Bipin Kumar, Rajib Chattopadhyay, K Amarjyothi, Anup K Sutar, Sukanta Roy, Suryachandra A Rao, Ravi S. Nanjundiah
Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia
null
null
null
null
cs.LG physics.ao-ph
http://creativecommons.org/licenses/by/4.0/
This survey focuses on the current problems in Earth systems science where machine learning algorithms can be applied. It provides an overview of previous work, ongoing work at the Ministry of Earth Sciences, Gov. of India, and future applications of ML algorithms to some significant earth science problems. We provid...
[ { "created": "Fri, 24 Dec 2021 06:44:55 GMT", "version": "v1" } ]
2021-12-28
[ [ "Singh", "Manmeet", "" ], [ "Kumar", "Bipin", "" ], [ "Chattopadhyay", "Rajib", "" ], [ "Amarjyothi", "K", "" ], [ "Sutar", "Anup K", "" ], [ "Roy", "Sukanta", "" ], [ "Rao", "Suryachandra A", "" ], [ ...
This survey focuses on the current problems in Earth systems science where machine learning algorithms can be applied. It provides an overview of previous work, ongoing work at the Ministry of Earth Sciences, Gov. of India, and future applications of ML algorithms to some significant earth science problems. We provide ...
1010.0958
Partha Sarathi Mandal
Punit Sharma and Partha Sarathi Mandal
Reconstruction of Aggregation Tree in spite of Faulty Nodes in Wireless Sensor Networks
this is a 5 page paper. this paper has been submitted to WCSN 2010
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in wireless sensor networks (WSNs) have led to many new promissing applications. However data communication between nodes consumes a large portion of the total energy of WSNs. Consequently efficient data aggregation technique can help greatly to reduce power consumption. Data aggregation has emerged a...
[ { "created": "Tue, 5 Oct 2010 17:54:58 GMT", "version": "v1" } ]
2010-10-06
[ [ "Sharma", "Punit", "" ], [ "Mandal", "Partha Sarathi", "" ] ]
Recent advances in wireless sensor networks (WSNs) have led to many new promissing applications. However data communication between nodes consumes a large portion of the total energy of WSNs. Consequently efficient data aggregation technique can help greatly to reduce power consumption. Data aggregation has emerged as ...
1803.09730
Brent Schlotfeldt
Brent Schlotfeldt, Vasileios Tzoumas, Dinesh Thakur, George J. Pappas
Resilient Active Information Gathering with Mobile Robots
null
null
null
null
cs.RO cs.MA math.OC stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Applications of safety, security, and rescue in robotics, such as multi-robot target tracking, involve the execution of information acquisition tasks by teams of mobile robots. However, in failure-prone or adversarial environments, robots get attacked, their communication channels get jammed, and their sensors may fa...
[ { "created": "Mon, 26 Mar 2018 17:41:05 GMT", "version": "v1" }, { "created": "Thu, 2 Aug 2018 03:32:18 GMT", "version": "v2" }, { "created": "Sun, 2 Sep 2018 14:59:22 GMT", "version": "v3" } ]
2018-09-05
[ [ "Schlotfeldt", "Brent", "" ], [ "Tzoumas", "Vasileios", "" ], [ "Thakur", "Dinesh", "" ], [ "Pappas", "George J.", "" ] ]
Applications of safety, security, and rescue in robotics, such as multi-robot target tracking, involve the execution of information acquisition tasks by teams of mobile robots. However, in failure-prone or adversarial environments, robots get attacked, their communication channels get jammed, and their sensors may fail...
2005.02934
Pierre-Alexandre Kamienny Mr
Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
18 pages
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of learning exploration-exploitation strategies that effectively adapt to dynamic environments, where the task may change over time. While RNN-based policies could in principle represent such strategies, in practice their training time is prohibitive and the learning process often converges to po...
[ { "created": "Wed, 6 May 2020 16:14:48 GMT", "version": "v1" } ]
2020-05-07
[ [ "Kamienny", "Pierre-Alexandre", "" ], [ "Pirotta", "Matteo", "" ], [ "Lazaric", "Alessandro", "" ], [ "Lavril", "Thibault", "" ], [ "Usunier", "Nicolas", "" ], [ "Denoyer", "Ludovic", "" ] ]
We study the problem of learning exploration-exploitation strategies that effectively adapt to dynamic environments, where the task may change over time. While RNN-based policies could in principle represent such strategies, in practice their training time is prohibitive and the learning process often converges to poor...
2305.04827
Jos\'e L. Risco-Mart\'in
J. Ignacio Hidalgo, J. Manuel Colmenar, Jos\'e L. Risco-Mart\'in, Alfredo Cuesta-Infante, Esther Maqueda, Marta Botella and Jos\'e Antonio Rubio
Modeling glycemia in humans by means of Grammatical Evolution
null
Applied Soft Computing, 20, pp. 40-53, 2014
10.1016/j.asoc.2013.11.006
null
cs.NE cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide. Maintaining a good control of the disease is critical to avoid severe long-term complications. In recent years, several artificial pancreas systems have been proposed and developed, which are increasingly advanced. However there ...
[ { "created": "Thu, 27 Apr 2023 14:33:52 GMT", "version": "v1" } ]
2023-05-09
[ [ "Hidalgo", "J. Ignacio", "" ], [ "Colmenar", "J. Manuel", "" ], [ "Risco-Martín", "José L.", "" ], [ "Cuesta-Infante", "Alfredo", "" ], [ "Maqueda", "Esther", "" ], [ "Botella", "Marta", "" ], [ "Rubio", "José ...
Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide. Maintaining a good control of the disease is critical to avoid severe long-term complications. In recent years, several artificial pancreas systems have been proposed and developed, which are increasingly advanced. However there is...
2203.05553
Daniel McKee
Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik
Transfer of Representations to Video Label Propagation: Implementation Factors Matter
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work studies feature representations for dense label propagation in video, with a focus on recently proposed methods that learn video correspondence using self-supervised signals such as colorization or temporal cycle consistency. In the literature, these methods have been evaluated with an array of inconsistent...
[ { "created": "Thu, 10 Mar 2022 18:58:22 GMT", "version": "v1" } ]
2022-03-11
[ [ "McKee", "Daniel", "" ], [ "Zhan", "Zitong", "" ], [ "Shuai", "Bing", "" ], [ "Modolo", "Davide", "" ], [ "Tighe", "Joseph", "" ], [ "Lazebnik", "Svetlana", "" ] ]
This work studies feature representations for dense label propagation in video, with a focus on recently proposed methods that learn video correspondence using self-supervised signals such as colorization or temporal cycle consistency. In the literature, these methods have been evaluated with an array of inconsistent s...
2310.00334
Avi Kaplan
Andrej Bogdanov, Krishnamoorthy Dinesh, Yuval Filmus, Yuval Ishai, Avi Kaplan, Sruthi Sekar
Bounded Simultaneous Messages
This version has a modified variant of the succinct subset sum candidate from the original version of this paper
null
null
null
cs.CC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the following question of bounded simultaneous messages (BSM) protocols: Can computationally unbounded Alice and Bob evaluate a function $f(x,y)$ of their inputs by sending polynomial-size messages to a computationally bounded Carol? The special case where $f$ is the mod-2 inner-product function and Carol...
[ { "created": "Sat, 30 Sep 2023 10:42:03 GMT", "version": "v1" }, { "created": "Thu, 5 Oct 2023 08:13:45 GMT", "version": "v2" }, { "created": "Sun, 26 Nov 2023 11:09:30 GMT", "version": "v3" }, { "created": "Thu, 21 Dec 2023 15:30:41 GMT", "version": "v4" } ]
2023-12-25
[ [ "Bogdanov", "Andrej", "" ], [ "Dinesh", "Krishnamoorthy", "" ], [ "Filmus", "Yuval", "" ], [ "Ishai", "Yuval", "" ], [ "Kaplan", "Avi", "" ], [ "Sekar", "Sruthi", "" ] ]
We consider the following question of bounded simultaneous messages (BSM) protocols: Can computationally unbounded Alice and Bob evaluate a function $f(x,y)$ of their inputs by sending polynomial-size messages to a computationally bounded Carol? The special case where $f$ is the mod-2 inner-product function and Carol i...
1601.03817
Weining Zhu
Weining Zhu
Entity-oriented spatial coding and discrete topological spatial relations
null
null
null
null
cs.CG cs.DM math.CO math.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on a newly proposed spatial data model - spatial chromatic model (SCM), we developed a spatial coding scheme, called full-coded ordinary arranged chromatic diagram (full-OACD). Full-OACD is a type of spatial tessellation, where space is partitioned into a number of subspaces such as cells, edges, and vertexes. ...
[ { "created": "Fri, 15 Jan 2016 05:17:40 GMT", "version": "v1" } ]
2016-01-18
[ [ "Zhu", "Weining", "" ] ]
Based on a newly proposed spatial data model - spatial chromatic model (SCM), we developed a spatial coding scheme, called full-coded ordinary arranged chromatic diagram (full-OACD). Full-OACD is a type of spatial tessellation, where space is partitioned into a number of subspaces such as cells, edges, and vertexes. Th...
1203.3055
David Garcia Sanchez
David Garcia Sanchez, Bruno Lacarri\`ere, Marjorie Musy, Bernard Bourges
Application of sensitivity analysis in building energy simulations: combining first and second order elementary effects Methods
null
null
null
null
cs.CE stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sensitivity analysis plays an important role in the understanding of complex models. It helps to identify influence of input parameters in relation to the outputs. It can be also a tool to understand the behavior of the model and then can help in its development stage. This study aims to analyze and illustrate the po...
[ { "created": "Wed, 14 Mar 2012 11:43:21 GMT", "version": "v1" }, { "created": "Fri, 28 Dec 2012 10:54:19 GMT", "version": "v2" } ]
2013-01-01
[ [ "Sanchez", "David Garcia", "" ], [ "Lacarrière", "Bruno", "" ], [ "Musy", "Marjorie", "" ], [ "Bourges", "Bernard", "" ] ]
Sensitivity analysis plays an important role in the understanding of complex models. It helps to identify influence of input parameters in relation to the outputs. It can be also a tool to understand the behavior of the model and then can help in its development stage. This study aims to analyze and illustrate the pote...
1102.1498
John Tadrous Mr.
John Tadrous and Mohammed Nafie
On Rate-Splitting by a Secondary Link in Multiple Access Primary Network
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An achievable rate region is obtained for a primary multiple access network coexisting with a secondary link of one transmitter and a corresponding receiver. The rate region depicts the sum primary rate versus the secondary rate and is established assuming that the secondary link performs rate-splitting. The achievab...
[ { "created": "Tue, 8 Feb 2011 03:58:35 GMT", "version": "v1" } ]
2015-03-18
[ [ "Tadrous", "John", "" ], [ "Nafie", "Mohammed", "" ] ]
An achievable rate region is obtained for a primary multiple access network coexisting with a secondary link of one transmitter and a corresponding receiver. The rate region depicts the sum primary rate versus the secondary rate and is established assuming that the secondary link performs rate-splitting. The achievable...
2407.00676
Yuchuan Tian
Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
15 pages, 4 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the unaffordable size and intensive computation costs of low-level vision models, All-in-One models that are designed to address a handful of low-level vision tasks simultaneously have been popular. However, existing All-in-One models are limited in terms of the range of tasks and performance. To overcome thes...
[ { "created": "Sun, 30 Jun 2024 12:13:34 GMT", "version": "v1" } ]
2024-07-02
[ [ "Tian", "Yuchuan", "" ], [ "Han", "Jianhong", "" ], [ "Chen", "Hanting", "" ], [ "Xi", "Yuanyuan", "" ], [ "Zhang", "Guoyang", "" ], [ "Hu", "Jie", "" ], [ "Xu", "Chao", "" ], [ "Wang", "Yunhe",...
Due to the unaffordable size and intensive computation costs of low-level vision models, All-in-One models that are designed to address a handful of low-level vision tasks simultaneously have been popular. However, existing All-in-One models are limited in terms of the range of tasks and performance. To overcome these ...
1908.09530
Aakash K.T.
Aakash KT, Parikshit Sakurikar, Saurabh Saini, P. J. Narayanan
A Flexible Neural Renderer for Material Visualization
10 pages
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Photo realism in computer generated imagery is crucially dependent on how well an artist is able to recreate real-world materials in the scene. The workflow for material modeling and editing typically involves manual tweaking of material parameters and uses a standard path tracing engine for visual feedback. A lot of...
[ { "created": "Mon, 26 Aug 2019 08:52:53 GMT", "version": "v1" } ]
2019-08-27
[ [ "KT", "Aakash", "" ], [ "Sakurikar", "Parikshit", "" ], [ "Saini", "Saurabh", "" ], [ "Narayanan", "P. J.", "" ] ]
Photo realism in computer generated imagery is crucially dependent on how well an artist is able to recreate real-world materials in the scene. The workflow for material modeling and editing typically involves manual tweaking of material parameters and uses a standard path tracing engine for visual feedback. A lot of t...
1405.3491
Andrej Gajduk
Andrej Gajduk, Zoran Utkovski, Lasko Basnarkov, Ljupco Kocarev
Energy-efficiency in Decentralized Wireless Networks: A Game-theoretic Approach inspired by Evolutionary Biology
The paper is accepted for publication at the International Workshop on Physics-inspired Paradigms in Wireless Communications and Networks - PHYSCOMNET 2014, in conjunction with the 12th Intl. Symposium on Modelling and Optimization in Mobile, Ad Hoc, and Wireless Networks - WIOPT, May 12-16, 2014, Hammamet, Tun...
null
null
null
cs.NI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Energy efficiency is gaining importance in wireless communication networks which have nodes with limited energy supply and signal processing capabilities. We present a numerical study of cooperative communication scenarios based on simple local rules. This is in contrast to most of the approaches in the literature wh...
[ { "created": "Wed, 14 May 2014 13:31:18 GMT", "version": "v1" } ]
2014-11-27
[ [ "Gajduk", "Andrej", "" ], [ "Utkovski", "Zoran", "" ], [ "Basnarkov", "Lasko", "" ], [ "Kocarev", "Ljupco", "" ] ]
Energy efficiency is gaining importance in wireless communication networks which have nodes with limited energy supply and signal processing capabilities. We present a numerical study of cooperative communication scenarios based on simple local rules. This is in contrast to most of the approaches in the literature whic...
1901.10165
Fabio Cunial
Fabio Cunial and Djamal Belazzougui
Fully-functional bidirectional Burrows-Wheeler indexes
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a string $T$ on an alphabet of size $\sigma$, we describe a bidirectional Burrows-Wheeler index that takes $O(|T|\log{\sigma})$ bits of space, and that supports the addition \emph{and removal} of one character, on the left or right side of any substring of $T$, in constant time. Previously known data structures...
[ { "created": "Tue, 29 Jan 2019 08:33:09 GMT", "version": "v1" }, { "created": "Sun, 9 Jun 2019 14:08:49 GMT", "version": "v2" } ]
2019-06-11
[ [ "Cunial", "Fabio", "" ], [ "Belazzougui", "Djamal", "" ] ]
Given a string $T$ on an alphabet of size $\sigma$, we describe a bidirectional Burrows-Wheeler index that takes $O(|T|\log{\sigma})$ bits of space, and that supports the addition \emph{and removal} of one character, on the left or right side of any substring of $T$, in constant time. Previously known data structures t...
2306.04636
Liming Jiang
Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Code: https://github.com/williamyang1991/GP-UNIT Project page: https://www.mmlab-ntu.com/project/gpunit/. arXiv admin note: substantial text overlap with arXiv:2204.03641
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in deep learning have witnessed many successful unsupervised image-to-image translation models that learn correspondences between two visual domains without paired data. However, it is still a great challenge to build robust mappings between various domains especially for those with drastic visual dis...
[ { "created": "Wed, 7 Jun 2023 17:59:22 GMT", "version": "v1" } ]
2023-06-08
[ [ "Yang", "Shuai", "" ], [ "Jiang", "Liming", "" ], [ "Liu", "Ziwei", "" ], [ "Loy", "Chen Change", "" ] ]
Recent advances in deep learning have witnessed many successful unsupervised image-to-image translation models that learn correspondences between two visual domains without paired data. However, it is still a great challenge to build robust mappings between various domains especially for those with drastic visual discr...
2202.03654
Mohammad Vahid Jamali
Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar, Hamed Hassani
Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels
Accepted for presentation in the 2022 IEEE International Conference on Communications (ICC)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a low-complexity and low-latency decoding algorithm for a class of Reed-Muller (RM) subcodes that are defined based on the product of smaller RM codes. More specifically, the input sequence is shaped as a multi-dimensional array, and the encoding over each dimension is done separately via a smaller RM enco...
[ { "created": "Tue, 8 Feb 2022 05:18:37 GMT", "version": "v1" } ]
2022-02-09
[ [ "Jamali", "Mohammad Vahid", "" ], [ "Fereydounian", "Mohammad", "" ], [ "Mahdavifar", "Hessam", "" ], [ "Hassani", "Hamed", "" ] ]
We present a low-complexity and low-latency decoding algorithm for a class of Reed-Muller (RM) subcodes that are defined based on the product of smaller RM codes. More specifically, the input sequence is shaped as a multi-dimensional array, and the encoding over each dimension is done separately via a smaller RM encode...
2406.13881
Luke Marzen
Luke Marzen, Akash Dutta, Ali Jannesari
Static Generation of Efficient OpenMP Offload Data Mappings
Accepted to the 2024 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24)
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Increasing heterogeneity in HPC architectures and compiler advancements have led to OpenMP being frequently used to enable computations on heterogeneous devices. However, the efficient movement of data on heterogeneous computing platforms is crucial for achieving high utilization. The implicit OpenMP data-mapping rul...
[ { "created": "Wed, 19 Jun 2024 23:21:23 GMT", "version": "v1" } ]
2024-06-21
[ [ "Marzen", "Luke", "" ], [ "Dutta", "Akash", "" ], [ "Jannesari", "Ali", "" ] ]
Increasing heterogeneity in HPC architectures and compiler advancements have led to OpenMP being frequently used to enable computations on heterogeneous devices. However, the efficient movement of data on heterogeneous computing platforms is crucial for achieving high utilization. The implicit OpenMP data-mapping rules...
1711.04596
William Blum
Mohit Rajpal, William Blum, Rishabh Singh
Not all bytes are equal: Neural byte sieve for fuzzing
null
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fuzzing is a popular dynamic program analysis technique used to find vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malicious input designed to cause crashes, buffer overflows, memory errors, and exceptions. Crafting malicious inputs in an efficient manner is a difficul...
[ { "created": "Fri, 10 Nov 2017 01:29:47 GMT", "version": "v1" } ]
2017-11-15
[ [ "Rajpal", "Mohit", "" ], [ "Blum", "William", "" ], [ "Singh", "Rishabh", "" ] ]
Fuzzing is a popular dynamic program analysis technique used to find vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malicious input designed to cause crashes, buffer overflows, memory errors, and exceptions. Crafting malicious inputs in an efficient manner is a difficult ...
2106.14574
Paula Czarnowska
Paula Czarnowska, Yogarshi Vyas, Kashif Shah
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Accepted for publication in Transaction of the Association for Computational Linguistics (TACL), 2021. The arXiv version is a pre-MIT Press publication version
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Measuring bias is key for better understanding and addressing unfairness in NLP/ML models. This is often done via fairness metrics which quantify the differences in a model's behaviour across a range of demographic groups. In this work, we shed more light on the differences and similarities between the fairness metri...
[ { "created": "Mon, 28 Jun 2021 11:02:33 GMT", "version": "v1" } ]
2021-06-29
[ [ "Czarnowska", "Paula", "" ], [ "Vyas", "Yogarshi", "" ], [ "Shah", "Kashif", "" ] ]
Measuring bias is key for better understanding and addressing unfairness in NLP/ML models. This is often done via fairness metrics which quantify the differences in a model's behaviour across a range of demographic groups. In this work, we shed more light on the differences and similarities between the fairness metrics...
2310.02861
Xiangyu Dong
Xiangyu Dong, Xingyi Zhang, Sibo Wang
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph-level anomaly detection has gained significant attention as it finds applications in various domains, such as cancer diagnosis and enzyme prediction. However, existing methods fail to capture the spectral properties of graph anomalies, resulting in unexplainable framework design and unsatisfying performance. In...
[ { "created": "Wed, 4 Oct 2023 14:47:27 GMT", "version": "v1" }, { "created": "Thu, 5 Oct 2023 03:33:59 GMT", "version": "v2" }, { "created": "Fri, 23 Feb 2024 08:54:13 GMT", "version": "v3" }, { "created": "Thu, 28 Mar 2024 03:29:34 GMT", "version": "v4" } ]
2024-03-29
[ [ "Dong", "Xiangyu", "" ], [ "Zhang", "Xingyi", "" ], [ "Wang", "Sibo", "" ] ]
Graph-level anomaly detection has gained significant attention as it finds applications in various domains, such as cancer diagnosis and enzyme prediction. However, existing methods fail to capture the spectral properties of graph anomalies, resulting in unexplainable framework design and unsatisfying performance. In t...
2403.06515
Edon Kelmendi
Toghrul Karimov, Edon Kelmendi, Jo\"el Ouaknine, James Worrell
Multiple Reachability in Linear Dynamical Systems
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We consider reachability decision problems for linear dynamical systems: Given a linear map on $\mathbb{R}^d$ , together with source and target sets, determine whether there is a point in the source set whose orbit, obtained by repeatedly applying the linear map, enters the target set. When the source and target sets...
[ { "created": "Mon, 11 Mar 2024 08:43:42 GMT", "version": "v1" } ]
2024-03-12
[ [ "Karimov", "Toghrul", "" ], [ "Kelmendi", "Edon", "" ], [ "Ouaknine", "Joël", "" ], [ "Worrell", "James", "" ] ]
We consider reachability decision problems for linear dynamical systems: Given a linear map on $\mathbb{R}^d$ , together with source and target sets, determine whether there is a point in the source set whose orbit, obtained by repeatedly applying the linear map, enters the target set. When the source and target sets a...
2311.10293
Yanzhao Wu
Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, Ling Liu
Hierarchical Pruning of Deep Ensembles with Focal Diversity
To appear on ACM Transactions on Intelligent Systems and Technology
null
10.1145/3633286
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural network ensembles combine the wisdom of multiple deep neural networks to improve the generalizability and robustness over individual networks. It has gained increasing popularity to study deep ensemble techniques in the deep learning community. Some mission-critical applications utilize a large number of ...
[ { "created": "Fri, 17 Nov 2023 02:48:20 GMT", "version": "v1" } ]
2023-11-20
[ [ "Wu", "Yanzhao", "" ], [ "Chow", "Ka-Ho", "" ], [ "Wei", "Wenqi", "" ], [ "Liu", "Ling", "" ] ]
Deep neural network ensembles combine the wisdom of multiple deep neural networks to improve the generalizability and robustness over individual networks. It has gained increasing popularity to study deep ensemble techniques in the deep learning community. Some mission-critical applications utilize a large number of de...
2404.11895
Wei Wu
Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni B. Chan
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
Accepted by ECCV-2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Precise image editing with text-to-image models has attracted increasing interest due to their remarkable generative capabilities and user-friendly nature. However, such attempts face the pivotal challenge of misalignment between the intended precise editing target regions and the broader area impacted by the guidanc...
[ { "created": "Thu, 18 Apr 2024 04:47:28 GMT", "version": "v1" }, { "created": "Tue, 13 Aug 2024 06:48:37 GMT", "version": "v2" } ]
2024-08-14
[ [ "Wu", "Wei", "" ], [ "Fan", "Qingnan", "" ], [ "Qin", "Shuai", "" ], [ "Gu", "Hong", "" ], [ "Zhao", "Ruoyu", "" ], [ "Chan", "Antoni B.", "" ] ]
Precise image editing with text-to-image models has attracted increasing interest due to their remarkable generative capabilities and user-friendly nature. However, such attempts face the pivotal challenge of misalignment between the intended precise editing target regions and the broader area impacted by the guidance ...
1110.0025
N. Nisan
N. Nisan, A. Ronen
Computationally Feasible VCG Mechanisms
null
Journal Of Artificial Intelligence Research, Volume 29, pages 19-47, 2007
10.1613/jair.2046
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major achievement of mechanism design theory is a general method for the construction of truthful mechanisms called VCG (Vickrey, Clarke, Groves). When applying this method to complex problems such as combinatorial auctions, a difficulty arises: VCG mechanisms are required to compute optimal outcomes and are, there...
[ { "created": "Fri, 30 Sep 2011 20:55:24 GMT", "version": "v1" } ]
2011-10-04
[ [ "Nisan", "N.", "" ], [ "Ronen", "A.", "" ] ]
A major achievement of mechanism design theory is a general method for the construction of truthful mechanisms called VCG (Vickrey, Clarke, Groves). When applying this method to complex problems such as combinatorial auctions, a difficulty arises: VCG mechanisms are required to compute optimal outcomes and are, therefo...
2101.01168
Wieslaw Kopec
Rafa{\l} Mas{\l}yk, Kinga Skorupska, Piotr Gago, Marcin Niewi\'nski, Barbara Karpowicz, Anna Jaskulska, Katarzyna Abramczuk, Wies{\l}aw Kope\'c
Deploying Crowdsourcing for Workflow Driven Business Process
null
null
null
null
cs.HC cs.CY cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main goal of this paper is to discuss how to integrate the possibilities of crowdsourcing platforms with systems supporting workflow to enable the engagement and interaction with business tasks of a wider group of people. Thus, this work is an attempt to expand the functional capabilities of typical business syst...
[ { "created": "Mon, 4 Jan 2021 18:57:21 GMT", "version": "v1" } ]
2021-01-05
[ [ "Masłyk", "Rafał", "" ], [ "Skorupska", "Kinga", "" ], [ "Gago", "Piotr", "" ], [ "Niewiński", "Marcin", "" ], [ "Karpowicz", "Barbara", "" ], [ "Jaskulska", "Anna", "" ], [ "Abramczuk", "Katarzyna", "" ]...
The main goal of this paper is to discuss how to integrate the possibilities of crowdsourcing platforms with systems supporting workflow to enable the engagement and interaction with business tasks of a wider group of people. Thus, this work is an attempt to expand the functional capabilities of typical business system...
2407.08506
I\~nigo Iturrate
Diego Dall'Alba, Lorenzo Busellato, Thiusius Rajeeth Savarimuthu, Zhuoqi Cheng, I\~nigo Iturrate
Imitation Learning for Robotic Assisted Ultrasound Examination of Deep Venous Thrombosis using Kernelized Movement Primitives
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Vein Thrombosis (DVT) is a common yet potentially fatal condition, often leading to critical complications like pulmonary embolism. DVT is commonly diagnosed using Ultrasound (US) imaging, which can be inconsistent due to its high dependence on the operator's skill. Robotic US Systems (RUSs) aim to improve diagn...
[ { "created": "Thu, 11 Jul 2024 13:44:41 GMT", "version": "v1" } ]
2024-07-12
[ [ "Dall'Alba", "Diego", "" ], [ "Busellato", "Lorenzo", "" ], [ "Savarimuthu", "Thiusius Rajeeth", "" ], [ "Cheng", "Zhuoqi", "" ], [ "Iturrate", "Iñigo", "" ] ]
Deep Vein Thrombosis (DVT) is a common yet potentially fatal condition, often leading to critical complications like pulmonary embolism. DVT is commonly diagnosed using Ultrasound (US) imaging, which can be inconsistent due to its high dependence on the operator's skill. Robotic US Systems (RUSs) aim to improve diagnos...
1903.09402
Akihito Taya
Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks
IEICE TRANS. INF. & SYST
IEICE TRANSACTIONS on Information and Systems, Vol.E102-D,No.5, May 2019
10.1587/transinf.2018NTP0008
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sharing perceptual data with other vehicles enhances the traffic safety of autonomous vehicles because it helps vehicles locate other vehicles and pedestrians in their blind spots. Such safety applications require high throughput and short delay, which cannot be achieved by conventional microwave vehicular communicat...
[ { "created": "Fri, 22 Mar 2019 08:38:11 GMT", "version": "v1" } ]
2019-03-26
[ [ "Taya", "Akihito", "" ], [ "Nishio", "Takayuki", "" ], [ "Morikura", "Masahiro", "" ], [ "Yamamoto", "Koji", "" ] ]
Sharing perceptual data with other vehicles enhances the traffic safety of autonomous vehicles because it helps vehicles locate other vehicles and pedestrians in their blind spots. Such safety applications require high throughput and short delay, which cannot be achieved by conventional microwave vehicular communicatio...
2204.11590
Zhenyu Li
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Monocular 3D object detection (Mono3D) has achieved unprecedented success with the advent of deep learning techniques and emerging large-scale autonomous driving datasets. However, drastic performance degradation remains an unwell-studied challenge for practical cross-domain deployment as the lack of labels on the ta...
[ { "created": "Mon, 25 Apr 2022 12:23:07 GMT", "version": "v1" }, { "created": "Wed, 27 Apr 2022 02:08:21 GMT", "version": "v2" } ]
2022-04-28
[ [ "Li", "Zhenyu", "" ], [ "Chen", "Zehui", "" ], [ "Li", "Ang", "" ], [ "Fang", "Liangji", "" ], [ "Jiang", "Qinhong", "" ], [ "Liu", "Xianming", "" ], [ "Jiang", "Junjun", "" ] ]
Monocular 3D object detection (Mono3D) has achieved unprecedented success with the advent of deep learning techniques and emerging large-scale autonomous driving datasets. However, drastic performance degradation remains an unwell-studied challenge for practical cross-domain deployment as the lack of labels on the targ...
1811.05654
Sandeep Juneja
Sandeep Juneja and Subhashini Krishnasamy
Sample complexity of partition identification using multi-armed bandits
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a vector of probability distributions, or arms, each of which can be sampled independently, we consider the problem of identifying the partition to which this vector belongs from a finitely partitioned universe of such vector of distributions. We study this as a pure exploration problem in multi armed bandit se...
[ { "created": "Wed, 14 Nov 2018 05:41:08 GMT", "version": "v1" }, { "created": "Tue, 5 Feb 2019 12:09:25 GMT", "version": "v2" } ]
2019-02-06
[ [ "Juneja", "Sandeep", "" ], [ "Krishnasamy", "Subhashini", "" ] ]
Given a vector of probability distributions, or arms, each of which can be sampled independently, we consider the problem of identifying the partition to which this vector belongs from a finitely partitioned universe of such vector of distributions. We study this as a pure exploration problem in multi armed bandit sett...
1805.11489
Matthieu Lequesne
Alain Couvreur and Matthieu Lequesne and Jean-Pierre Tillich
Recovering short secret keys of RLCE in polynomial time
null
null
null
null
cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a key recovery attack against Y. Wang's Random Linear Code Encryption (RLCE) scheme recently submitted to the NIST call for post-quantum cryptography. This attack recovers the secret key for all the short key parameters proposed by the author.
[ { "created": "Tue, 29 May 2018 14:12:25 GMT", "version": "v1" } ]
2018-05-30
[ [ "Couvreur", "Alain", "" ], [ "Lequesne", "Matthieu", "" ], [ "Tillich", "Jean-Pierre", "" ] ]
We present a key recovery attack against Y. Wang's Random Linear Code Encryption (RLCE) scheme recently submitted to the NIST call for post-quantum cryptography. This attack recovers the secret key for all the short key parameters proposed by the author.
1909.04238
Ming Wu
Ming Wu, Pengcheng Wang, Kangqi Yin, Haoyu Cheng, Yun Xu and Chanchal K.Roy
LVMapper: A Large-variance Clone Detector Using Sequencing Alignment Approach
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To detect large-variance code clones (i.e. clones with relatively more differences) in large-scale code repositories is difficult because most current tools can only detect almost identical or very similar clones. It will make promotion and changes to some software applications such as bug detection, code completion,...
[ { "created": "Tue, 10 Sep 2019 02:01:28 GMT", "version": "v1" } ]
2019-09-11
[ [ "Wu", "Ming", "" ], [ "Wang", "Pengcheng", "" ], [ "Yin", "Kangqi", "" ], [ "Cheng", "Haoyu", "" ], [ "Xu", "Yun", "" ], [ "Roy", "Chanchal K.", "" ] ]
To detect large-variance code clones (i.e. clones with relatively more differences) in large-scale code repositories is difficult because most current tools can only detect almost identical or very similar clones. It will make promotion and changes to some software applications such as bug detection, code completion, s...