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1506.05703
R\'emi Lebret
R\'emi Lebret and Ronan Collobert
"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders
Deep Learning Workshop, ICML 2015
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information about words. However, distributed representations of phrases remain a challenge. We introduce a novel model that jointly learns word vector ...
[ { "created": "Thu, 18 Jun 2015 14:46:44 GMT", "version": "v1" } ]
2015-06-19
[ [ "Lebret", "Rémi", "" ], [ "Collobert", "Ronan", "" ] ]
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information about words. However, distributed representations of phrases remain a challenge. We introduce a novel model that jointly learns word vector re...
2402.00775
Andreas Christou
Andreas Christou, Antonio J. del-Ama, Juan C. Moreno and Sethu Vijayakumar
Adaptive Control for Triadic Human-Robot-FES Collaboration in Gait Rehabilitation: A Pilot Study
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The hybridisation of robot-assisted gait training and functional electrical stimulation (FES) can provide numerous physiological benefits to neurological patients. However, the design of an effective hybrid controller poses significant challenges. In this over-actuated system, it is extremely difficult to find the ri...
[ { "created": "Thu, 1 Feb 2024 17:04:41 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2024 11:05:39 GMT", "version": "v2" } ]
2024-03-11
[ [ "Christou", "Andreas", "" ], [ "del-Ama", "Antonio J.", "" ], [ "Moreno", "Juan C.", "" ], [ "Vijayakumar", "Sethu", "" ] ]
The hybridisation of robot-assisted gait training and functional electrical stimulation (FES) can provide numerous physiological benefits to neurological patients. However, the design of an effective hybrid controller poses significant challenges. In this over-actuated system, it is extremely difficult to find the righ...
cs/0608104
Uday Khedker
Uday Khedker, Amitabha Sanyal, and Amey Karkare
Heap Reference Analysis Using Access Graphs
Accepted for printing by ACM TOPLAS. This version incorporates referees' comments
ACM TOPLAS, 30(1), 2007
10.1145/1290520.1290521
null
cs.PL cs.SE
null
Despite significant progress in the theory and practice of program analysis, analysing properties of heap data has not reached the same level of maturity as the analysis of static and stack data. The spatial and temporal structure of stack and static data is well understood while that of heap data seems arbitrary and...
[ { "created": "Mon, 28 Aug 2006 11:15:00 GMT", "version": "v1" }, { "created": "Wed, 22 Nov 2006 06:37:51 GMT", "version": "v2" }, { "created": "Sat, 1 Sep 2007 14:52:17 GMT", "version": "v3" } ]
2013-04-25
[ [ "Khedker", "Uday", "" ], [ "Sanyal", "Amitabha", "" ], [ "Karkare", "Amey", "" ] ]
Despite significant progress in the theory and practice of program analysis, analysing properties of heap data has not reached the same level of maturity as the analysis of static and stack data. The spatial and temporal structure of stack and static data is well understood while that of heap data seems arbitrary and i...
1808.07535
Seunghoon Hong
Seunghoon Hong and Xinchen Yan and Thomas Huang and Honglak Lee
Learning Hierarchical Semantic Image Manipulation through Structured Representations
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades. Previous work mainly focused on direct manipulation on natural image manifold through color strokes, key-points, textures, and holes-to-fill. In this work, we present a novel hierarchical frame...
[ { "created": "Wed, 22 Aug 2018 19:33:31 GMT", "version": "v1" }, { "created": "Tue, 28 Aug 2018 00:33:27 GMT", "version": "v2" } ]
2018-08-29
[ [ "Hong", "Seunghoon", "" ], [ "Yan", "Xinchen", "" ], [ "Huang", "Thomas", "" ], [ "Lee", "Honglak", "" ] ]
Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades. Previous work mainly focused on direct manipulation on natural image manifold through color strokes, key-points, textures, and holes-to-fill. In this work, we present a novel hierarchical framewo...
2012.15070
Rongzhou Bao
Rongzhou Bao, Jiayi Wang, Zhuosheng Zhang, Hai Zhao
Enhancing Pre-trained Language Model with Lexical Simplification
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For both human readers and pre-trained language models (PrLMs), lexical diversity may lead to confusion and inaccuracy when understanding the underlying semantic meanings of given sentences. By substituting complex words with simple alternatives, lexical simplification (LS) is a recognized method to reduce such lexic...
[ { "created": "Wed, 30 Dec 2020 07:49:00 GMT", "version": "v1" } ]
2021-01-01
[ [ "Bao", "Rongzhou", "" ], [ "Wang", "Jiayi", "" ], [ "Zhang", "Zhuosheng", "" ], [ "Zhao", "Hai", "" ] ]
For both human readers and pre-trained language models (PrLMs), lexical diversity may lead to confusion and inaccuracy when understanding the underlying semantic meanings of given sentences. By substituting complex words with simple alternatives, lexical simplification (LS) is a recognized method to reduce such lexical...
2311.12764
Renu Sharma
Renu Sharma, Redwan Sony, Arun Ross
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep neural networks (DNNs) exhibit superior performance in various machine learning tasks, e.g., image classification, speech recognition, biometric recognition, object detection, etc. However, it is essential to analyze their sensitivity to parameter perturbations before deploying them in real-world applications. I...
[ { "created": "Tue, 21 Nov 2023 18:18:50 GMT", "version": "v1" }, { "created": "Wed, 22 Nov 2023 18:52:11 GMT", "version": "v2" } ]
2023-11-23
[ [ "Sharma", "Renu", "" ], [ "Sony", "Redwan", "" ], [ "Ross", "Arun", "" ] ]
Deep neural networks (DNNs) exhibit superior performance in various machine learning tasks, e.g., image classification, speech recognition, biometric recognition, object detection, etc. However, it is essential to analyze their sensitivity to parameter perturbations before deploying them in real-world applications. In ...
1603.08844
Saeed Manaffam
S. Manaffam and M. K. Talebi and A. K. Jain and A. Behal
Synchronization in Networks of Identical Systems via Pinning: Application to Distributed Secondary Control of Microgrids
11 pages, 9 figures, submitted to Transactions on Control Systems Technology
null
null
null
cs.SY cs.ET cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the need for fast synchronized operation of power microgrids, we analyze the problem of single and multiple pinning in networked systems. We derive lower and upper bounds on the algebraic connectivity of the network with respect to the reference signal. These bounds are utilized to devise a suboptimal al...
[ { "created": "Tue, 29 Mar 2016 16:56:59 GMT", "version": "v1" }, { "created": "Mon, 8 Aug 2016 20:43:37 GMT", "version": "v2" } ]
2017-09-19
[ [ "Manaffam", "S.", "" ], [ "Talebi", "M. K.", "" ], [ "Jain", "A. K.", "" ], [ "Behal", "A.", "" ] ]
Motivated by the need for fast synchronized operation of power microgrids, we analyze the problem of single and multiple pinning in networked systems. We derive lower and upper bounds on the algebraic connectivity of the network with respect to the reference signal. These bounds are utilized to devise a suboptimal algo...
2306.05069
Masood Feyzbakhsh Rankooh
Masood Feyzbakhsh Rankooh and Tomi Janhunen
Capturing (Optimal) Relaxed Plans with Stable and Supported Models of Logic Programs
Paper presented at the 39th International Conference on Logic Programming (ICLP 2023), 14 pages
null
null
null
cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We establish a novel relation between delete-free planning, an important task for the AI Planning community also known as relaxed planning, and logic programming. We show that given a planning problem, all subsets of actions that could be ordered to produce relaxed plans for the problem can be bijectively captured wi...
[ { "created": "Thu, 8 Jun 2023 09:34:38 GMT", "version": "v1" } ]
2023-06-09
[ [ "Rankooh", "Masood Feyzbakhsh", "" ], [ "Janhunen", "Tomi", "" ] ]
We establish a novel relation between delete-free planning, an important task for the AI Planning community also known as relaxed planning, and logic programming. We show that given a planning problem, all subsets of actions that could be ordered to produce relaxed plans for the problem can be bijectively captured with...
1511.08066
Andreas Brandstadt
Andreas Brandstadt and Raffaele Mosca
Maximum Weight Independent Sets for ($P_7$,Triangle)-Free Graphs in Polynomial Time
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Maximum Weight Independent Set (MWIS) problem on finite undirected graphs with vertex weights asks for a set of pairwise nonadjacent vertices of maximum weight sum. MWIS is one of the most investigated and most important algorithmic graph problems; it is well known to be NP-complete, and it remains NP-complete ev...
[ { "created": "Wed, 25 Nov 2015 14:08:30 GMT", "version": "v1" }, { "created": "Fri, 13 May 2016 14:08:14 GMT", "version": "v2" }, { "created": "Thu, 30 Jun 2016 07:42:23 GMT", "version": "v3" } ]
2016-07-01
[ [ "Brandstadt", "Andreas", "" ], [ "Mosca", "Raffaele", "" ] ]
The Maximum Weight Independent Set (MWIS) problem on finite undirected graphs with vertex weights asks for a set of pairwise nonadjacent vertices of maximum weight sum. MWIS is one of the most investigated and most important algorithmic graph problems; it is well known to be NP-complete, and it remains NP-complete even...
1601.05539
Xiang Wang
Xiang Wang, Fang-Wei Fu
Constructions of Snake-in-the-Box Codes under $\ell_{\infty}$-metric for Rank Modulation
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the rank modulation scheme, Gray codes are very useful in the realization of flash memories. For a Gray code in this scheme, two adjacent codewords are obtained by using one "push-to-the-top" operation. Moreover, snake-in-the-box codes under the $\ell_{\infty}$-metric are Gray codes, which can be capable of detect...
[ { "created": "Thu, 21 Jan 2016 08:09:35 GMT", "version": "v1" } ]
2016-01-22
[ [ "Wang", "Xiang", "" ], [ "Fu", "Fang-Wei", "" ] ]
In the rank modulation scheme, Gray codes are very useful in the realization of flash memories. For a Gray code in this scheme, two adjacent codewords are obtained by using one "push-to-the-top" operation. Moreover, snake-in-the-box codes under the $\ell_{\infty}$-metric are Gray codes, which can be capable of detectin...
2406.10235
Hakim El Massari
Sajida Mhammedi, Hakim El Massari, Noreddine Gherabi, Amnai Mohamed
CF Recommender System Based on Ontology and Nonnegative Matrix Factorization (NMF)
null
Lecture Notes in Networks and Systems, Volume 635 LNNS, Pages 313 - 318, 2023
10.1007/978-3-031-26254-8_44
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Recommender systems are a kind of data filtering that guides the user to interesting and valuable resources within an extensive dataset. by providing suggestions of products that are expected to match their preferences. However, due to data overloading, recommender systems struggle to handle large volumes of data rel...
[ { "created": "Fri, 31 May 2024 14:50:53 GMT", "version": "v1" } ]
2024-06-18
[ [ "Mhammedi", "Sajida", "" ], [ "Massari", "Hakim El", "" ], [ "Gherabi", "Noreddine", "" ], [ "Mohamed", "Amnai", "" ] ]
Recommender systems are a kind of data filtering that guides the user to interesting and valuable resources within an extensive dataset. by providing suggestions of products that are expected to match their preferences. However, due to data overloading, recommender systems struggle to handle large volumes of data relia...
2305.17214
Mingxiao Li
Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Accepted by NeurIPS2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and machine learning, promising advancements in understanding human visual perception and building non-invasive brain-machine interfaces. However, t...
[ { "created": "Fri, 26 May 2023 19:16:23 GMT", "version": "v1" }, { "created": "Mon, 30 Oct 2023 08:27:19 GMT", "version": "v2" }, { "created": "Sat, 23 Dec 2023 15:04:33 GMT", "version": "v3" }, { "created": "Wed, 27 Dec 2023 09:39:41 GMT", "version": "v4" } ]
2023-12-29
[ [ "Sun", "Jingyuan", "" ], [ "Li", "Mingxiao", "" ], [ "Chen", "Zijiao", "" ], [ "Zhang", "Yunhao", "" ], [ "Wang", "Shaonan", "" ], [ "Moens", "Marie-Francine", "" ] ]
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and machine learning, promising advancements in understanding human visual perception and building non-invasive brain-machine interfaces. However, the...
2202.12365
Talia Moore
Karthik Urs and Challen Enninful Adu and Elliott J. Rouse and Talia Y. Moore
Alternative Metrics to Select Motors for Quasi-Direct Drive Actuators
14 pages, 4 figures
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Robotic systems for legged locomotion -- including legged robots, exoskeletons, and prosthetics -- require actuators with low inertia and high output torque. Traditionally, motors have been selected for these applications by maximizing the motor gap radius. We present alternative metrics for motor selection that are ...
[ { "created": "Thu, 24 Feb 2022 21:13:00 GMT", "version": "v1" } ]
2022-02-28
[ [ "Urs", "Karthik", "" ], [ "Adu", "Challen Enninful", "" ], [ "Rouse", "Elliott J.", "" ], [ "Moore", "Talia Y.", "" ] ]
Robotic systems for legged locomotion -- including legged robots, exoskeletons, and prosthetics -- require actuators with low inertia and high output torque. Traditionally, motors have been selected for these applications by maximizing the motor gap radius. We present alternative metrics for motor selection that are in...
2012.00614
Markus Leippold
Thomas Diggelmann and Jordan Boyd-Graber and Jannis Bulian and Massimiliano Ciaramita and Markus Leippold
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Accepted for the Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce CLIMATE-FEVER, a new publicly available dataset for verification of climate change-related claims. By providing a dataset for the research community, we aim to facilitate and encourage work on improving algorithms for retrieving evidential support for climate-specific claims, addressing the underlying la...
[ { "created": "Tue, 1 Dec 2020 16:32:54 GMT", "version": "v1" }, { "created": "Sat, 2 Jan 2021 16:07:48 GMT", "version": "v2" } ]
2021-01-05
[ [ "Diggelmann", "Thomas", "" ], [ "Boyd-Graber", "Jordan", "" ], [ "Bulian", "Jannis", "" ], [ "Ciaramita", "Massimiliano", "" ], [ "Leippold", "Markus", "" ] ]
We introduce CLIMATE-FEVER, a new publicly available dataset for verification of climate change-related claims. By providing a dataset for the research community, we aim to facilitate and encourage work on improving algorithms for retrieving evidential support for climate-specific claims, addressing the underlying lang...
2305.13774
Yan Zhao
Jiangyan Yi, Jianhua Tao, Ruibo Fu, Xinrui Yan, Chenglong Wang, Tao Wang, Chu Yuan Zhang, Xiaohui Zhang, Yan Zhao, Yong Ren, Le Xu, Junzuo Zhou, Hao Gu, Zhengqi Wen, Shan Liang, Zheng Lian, Shuai Nie, Haizhou Li
ADD 2023: the Second Audio Deepfake Detection Challenge
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Audio deepfake detection is an emerging topic in the artificial intelligence community. The second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around the world to build new innovative technologies that can further accelerate and foster research on detecting and analyzing deepfake speech utt...
[ { "created": "Tue, 23 May 2023 07:42:52 GMT", "version": "v1" } ]
2023-05-24
[ [ "Yi", "Jiangyan", "" ], [ "Tao", "Jianhua", "" ], [ "Fu", "Ruibo", "" ], [ "Yan", "Xinrui", "" ], [ "Wang", "Chenglong", "" ], [ "Wang", "Tao", "" ], [ "Zhang", "Chu Yuan", "" ], [ "Zhang", "Xia...
Audio deepfake detection is an emerging topic in the artificial intelligence community. The second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around the world to build new innovative technologies that can further accelerate and foster research on detecting and analyzing deepfake speech utter...
1807.03655
Tamal Dey
Tamal K. Dey
Computing Height Persistence and Homology Generators in $\mathbb{R}^3$ Efficiently
null
SODA 2019
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently it has been shown that computing the dimension of the first homology group $H_1(K)$ of a simplicial $2$-complex $K$ embedded linearly in $\mathbb{R}^4$ is as hard as computing the rank of a sparse $0-1$ matrix. This puts a major roadblock to computing persistence and a homology basis (generators) for complex...
[ { "created": "Tue, 10 Jul 2018 14:02:35 GMT", "version": "v1" }, { "created": "Thu, 14 Mar 2019 18:47:53 GMT", "version": "v2" } ]
2019-03-18
[ [ "Dey", "Tamal K.", "" ] ]
Recently it has been shown that computing the dimension of the first homology group $H_1(K)$ of a simplicial $2$-complex $K$ embedded linearly in $\mathbb{R}^4$ is as hard as computing the rank of a sparse $0-1$ matrix. This puts a major roadblock to computing persistence and a homology basis (generators) for complexes...
2404.08936
Yang Hu
Yang Hu, Jinxia Zhang, Kaihua Zhang, Yin Yuan
Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Efficient and accurate camouflaged object detection (COD) poses a challenge in the field of computer vision. Recent approaches explored the utility of edge information for network co-supervision, achieving notable advancements. However, these approaches introduce an extra branch for complex edge extraction, complicat...
[ { "created": "Sat, 13 Apr 2024 09:10:33 GMT", "version": "v1" } ]
2024-04-16
[ [ "Hu", "Yang", "" ], [ "Zhang", "Jinxia", "" ], [ "Zhang", "Kaihua", "" ], [ "Yuan", "Yin", "" ] ]
Efficient and accurate camouflaged object detection (COD) poses a challenge in the field of computer vision. Recent approaches explored the utility of edge information for network co-supervision, achieving notable advancements. However, these approaches introduce an extra branch for complex edge extraction, complicate ...
2012.05825
Alexandru \c{T}ifrea
Alexandru \c{T}ifrea, Eric Stavarache, Fanny Yang
Semi-supervised novelty detection using ensembles with regularized disagreement
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks often predict samples with high confidence even when they come from unseen classes and should instead be flagged for expert evaluation. Current novelty detection algorithms cannot reliably identify such near OOD points unless they have access to labeled data that is similar to these novel samples...
[ { "created": "Thu, 10 Dec 2020 16:55:13 GMT", "version": "v1" }, { "created": "Mon, 6 Sep 2021 19:03:50 GMT", "version": "v2" }, { "created": "Thu, 10 Mar 2022 21:30:48 GMT", "version": "v3" } ]
2022-03-14
[ [ "Ţifrea", "Alexandru", "" ], [ "Stavarache", "Eric", "" ], [ "Yang", "Fanny", "" ] ]
Deep neural networks often predict samples with high confidence even when they come from unseen classes and should instead be flagged for expert evaluation. Current novelty detection algorithms cannot reliably identify such near OOD points unless they have access to labeled data that is similar to these novel samples. ...
cs/0003024
Hans Tompits
James P. Delgrande, Torsten Schaub, Hans Tompits
A Compiler for Ordered Logic Programs
null
null
null
null
cs.AI
null
This paper describes a system, called PLP, for compiling ordered logic programs into standard logic programs under the answer set semantics. In an ordered logic program, rules are named by unique terms, and preferences among rules are given by a set of dedicated atoms. An ordered logic program is transformed into a s...
[ { "created": "Wed, 8 Mar 2000 10:15:51 GMT", "version": "v1" } ]
2007-05-23
[ [ "Delgrande", "James P.", "" ], [ "Schaub", "Torsten", "" ], [ "Tompits", "Hans", "" ] ]
This paper describes a system, called PLP, for compiling ordered logic programs into standard logic programs under the answer set semantics. In an ordered logic program, rules are named by unique terms, and preferences among rules are given by a set of dedicated atoms. An ordered logic program is transformed into a sec...
2009.10256
EPTCS
Zhun Yang
Extending Answer Set Programs with Neural Networks
In Proceedings ICLP 2020, arXiv:2009.09158
EPTCS 325, 2020, pp. 313-322
10.4204/EPTCS.325.41
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The integration of low-level perception with high-level reasoning is one of the oldest problems in Artificial Intelligence. Recently, several proposals were made to implement the reasoning process in complex neural network architectures. While these works aim at extending neural networks with the capability of reason...
[ { "created": "Tue, 22 Sep 2020 00:52:30 GMT", "version": "v1" } ]
2020-09-23
[ [ "Yang", "Zhun", "" ] ]
The integration of low-level perception with high-level reasoning is one of the oldest problems in Artificial Intelligence. Recently, several proposals were made to implement the reasoning process in complex neural network architectures. While these works aim at extending neural networks with the capability of reasonin...
1102.2787
Anas Chaaban
Anas Chaaban, Aydin Sezgin, and Salman Avestimehr
On the Sum Capacity of the Y-Channel
12 pages, 8 figures, submitted to ISIT 2011
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A network where three users communicate with each other via a relay is considered. Users do not receive other users' signals via a direct link, and thus the relay is essential for their communication. Each user is assumed to have an individual message to be delivered to each other user. Thus, each user wants to send ...
[ { "created": "Mon, 14 Feb 2011 14:57:18 GMT", "version": "v1" } ]
2011-02-15
[ [ "Chaaban", "Anas", "" ], [ "Sezgin", "Aydin", "" ], [ "Avestimehr", "Salman", "" ] ]
A network where three users communicate with each other via a relay is considered. Users do not receive other users' signals via a direct link, and thus the relay is essential for their communication. Each user is assumed to have an individual message to be delivered to each other user. Thus, each user wants to send tw...
1909.12977
Sijie Zhu
Sijie Zhu, Taojiannan Yang, Chen Chen
Visual Explanation for Deep Metric Learning
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This work explores the visual explanation for deep metric learning and its applications. As an important problem for learning representation, metric learning has attracted much attention recently, while the interpretation of such model is not as well studied as classification. To this end, we propose an intuitive ide...
[ { "created": "Fri, 27 Sep 2019 22:30:58 GMT", "version": "v1" }, { "created": "Sat, 11 Jan 2020 04:10:53 GMT", "version": "v2" }, { "created": "Thu, 30 Jul 2020 21:16:50 GMT", "version": "v3" }, { "created": "Sat, 28 Aug 2021 21:11:03 GMT", "version": "v4" } ]
2021-08-31
[ [ "Zhu", "Sijie", "" ], [ "Yang", "Taojiannan", "" ], [ "Chen", "Chen", "" ] ]
This work explores the visual explanation for deep metric learning and its applications. As an important problem for learning representation, metric learning has attracted much attention recently, while the interpretation of such model is not as well studied as classification. To this end, we propose an intuitive idea ...
1504.04975
Sudarsan Vasista Srinivasan Ranganathan
Sudarsan V. S. Ranganathan, Dariush Divsalar, and Richard D. Wesel
On the Girth of (3,L) Quasi-Cyclic LDPC Codes based on Complete Protographs
6 pages, 2 figures, 5-page version to appear in the Proceedings of 2015 IEEE International Symposium on Information Theory. Update 1 - 05/29/2015 - Minor changes and added a reference
null
10.1109/ISIT.2015.7282491
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of constructing $(3,L)$ quasi-cyclic low-density parity-check (LDPC) codes from complete protographs. A complete protograph is a small bipartite graph with two disjoint vertex sets such that every vertex in the variable-node set is connected to every vertex in the check-node set by a unique ed...
[ { "created": "Mon, 20 Apr 2015 08:58:06 GMT", "version": "v1" }, { "created": "Sat, 30 May 2015 00:32:55 GMT", "version": "v2" } ]
2016-11-17
[ [ "Ranganathan", "Sudarsan V. S.", "" ], [ "Divsalar", "Dariush", "" ], [ "Wesel", "Richard D.", "" ] ]
We consider the problem of constructing $(3,L)$ quasi-cyclic low-density parity-check (LDPC) codes from complete protographs. A complete protograph is a small bipartite graph with two disjoint vertex sets such that every vertex in the variable-node set is connected to every vertex in the check-node set by a unique edge...
1609.00775
Abdul Latif Sarker
Md. Abdul Latif Sarker
An Error Covariance Splitting Technique for Multi-User MIMO Interference Environment
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates an error covariance matrix splitting technique for multiuser multiple input and multiple output (MIMO) interference downlink channel. Most of the related work has thus far considered the traditional error covariance matrix which has not been well-shaped for maximizing the system capacity. Thus...
[ { "created": "Sat, 3 Sep 2016 00:28:36 GMT", "version": "v1" } ]
2016-09-06
[ [ "Sarker", "Md. Abdul Latif", "" ] ]
This paper investigates an error covariance matrix splitting technique for multiuser multiple input and multiple output (MIMO) interference downlink channel. Most of the related work has thus far considered the traditional error covariance matrix which has not been well-shaped for maximizing the system capacity. Thus, ...
2405.14654
Corentin Dancette
Julien Khlaut, Corentin Dancette, Elodie Ferreres, Alaedine Bennani, Paul H\'erent, Pierre Manceron
Efficient Medical Question Answering with Knowledge-Augmented Question Generation
Accepted at the Clinical Natural Language Processing Workshop, NAACL 2024
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
In the expanding field of language model applications, medical knowledge representation remains a significant challenge due to the specialized nature of the domain. Large language models, such as GPT-4, obtain reasonable scores on medical question answering tasks, but smaller models are far behind. In this work, we i...
[ { "created": "Thu, 23 May 2024 14:53:52 GMT", "version": "v1" } ]
2024-05-24
[ [ "Khlaut", "Julien", "" ], [ "Dancette", "Corentin", "" ], [ "Ferreres", "Elodie", "" ], [ "Bennani", "Alaedine", "" ], [ "Hérent", "Paul", "" ], [ "Manceron", "Pierre", "" ] ]
In the expanding field of language model applications, medical knowledge representation remains a significant challenge due to the specialized nature of the domain. Large language models, such as GPT-4, obtain reasonable scores on medical question answering tasks, but smaller models are far behind. In this work, we int...
2203.12187
Tian Xie
Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong
Converse: A Tree-Based Modular Task-Oriented Dialogue System
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Creating a system that can have meaningful conversations with humans to help accomplish tasks is one of the ultimate goals of Artificial Intelligence (AI). It has defined the meaning of AI since the beginning. A lot has been accomplished in this area recently, with voice assistant products entering our daily lives an...
[ { "created": "Wed, 23 Mar 2022 04:19:05 GMT", "version": "v1" }, { "created": "Wed, 30 Mar 2022 23:48:44 GMT", "version": "v2" }, { "created": "Mon, 9 May 2022 20:38:58 GMT", "version": "v3" } ]
2022-05-11
[ [ "Xie", "Tian", "" ], [ "Yang", "Xinyi", "" ], [ "Lin", "Angela S.", "" ], [ "Wu", "Feihong", "" ], [ "Hashimoto", "Kazuma", "" ], [ "Qu", "Jin", "" ], [ "Kang", "Young Mo", "" ], [ "Yin", "Wenpe...
Creating a system that can have meaningful conversations with humans to help accomplish tasks is one of the ultimate goals of Artificial Intelligence (AI). It has defined the meaning of AI since the beginning. A lot has been accomplished in this area recently, with voice assistant products entering our daily lives and ...
2111.07187
Lei Zou
Lei Zou, Danqing Liao, Nina S.N. Lam, Michelle Meyer, Nasir G. Gharaibeh, Heng Cai, Bing Zhou, Dongying Li
Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey
24 pages, 9 figures, 6 tables
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many residents resorted to social media to call for help. The objectives include (1) unde...
[ { "created": "Sat, 13 Nov 2021 20:32:39 GMT", "version": "v1" } ]
2021-11-16
[ [ "Zou", "Lei", "" ], [ "Liao", "Danqing", "" ], [ "Lam", "Nina S. N.", "" ], [ "Meyer", "Michelle", "" ], [ "Gharaibeh", "Nasir G.", "" ], [ "Cai", "Heng", "" ], [ "Zhou", "Bing", "" ], [ "Li", "...
Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many residents resorted to social media to call for help. The objectives include (1) unders...
1612.08510
Jian Shi
Jian Shi, Yue Dong, Hao Su, Stella X. Yu
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the non-Lambertian object intrinsic problem of recovering diffuse albedo, shading, and specular highlights from a single image of an object. We build a large-scale object intrinsics database based on existing 3D models in the ShapeNet database. Rendered with realistic environment maps, millions of synth...
[ { "created": "Tue, 27 Dec 2016 06:38:43 GMT", "version": "v1" } ]
2016-12-28
[ [ "Shi", "Jian", "" ], [ "Dong", "Yue", "" ], [ "Su", "Hao", "" ], [ "Yu", "Stella X.", "" ] ]
We consider the non-Lambertian object intrinsic problem of recovering diffuse albedo, shading, and specular highlights from a single image of an object. We build a large-scale object intrinsics database based on existing 3D models in the ShapeNet database. Rendered with realistic environment maps, millions of synthetic...
2406.16356
Rem Hida
Rem Hida, Junki Ohmura, Toshiyuki Sekiya
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Instruction-tuned Large Language Models (LLMs) have achieved remarkable performance across various benchmark tasks. While providing instructions to LLMs for guiding their generations is user-friendly, assessing their instruction-following capabilities is still unclarified due to a lack of evaluation metrics. In this ...
[ { "created": "Mon, 24 Jun 2024 06:53:36 GMT", "version": "v1" } ]
2024-06-25
[ [ "Hida", "Rem", "" ], [ "Ohmura", "Junki", "" ], [ "Sekiya", "Toshiyuki", "" ] ]
Instruction-tuned Large Language Models (LLMs) have achieved remarkable performance across various benchmark tasks. While providing instructions to LLMs for guiding their generations is user-friendly, assessing their instruction-following capabilities is still unclarified due to a lack of evaluation metrics. In this pa...
cs/0603072
Raghuraman Mudumbai
R. Mudumbai, J. Hespanha, U. Madhow, G. Barriac
Distributed Transmit Beamforming using Feedback Control
null
null
null
null
cs.IT math.IT
null
A simple feedback control algorithm is presented for distributed beamforming in a wireless network. A network of wireless sensors that seek to cooperatively transmit a common message signal to a Base Station (BS) is considered. In this case, it is well-known that substantial energy efficiencies are possible by using ...
[ { "created": "Sat, 18 Mar 2006 01:59:25 GMT", "version": "v1" } ]
2007-07-16
[ [ "Mudumbai", "R.", "" ], [ "Hespanha", "J.", "" ], [ "Madhow", "U.", "" ], [ "Barriac", "G.", "" ] ]
A simple feedback control algorithm is presented for distributed beamforming in a wireless network. A network of wireless sensors that seek to cooperatively transmit a common message signal to a Base Station (BS) is considered. In this case, it is well-known that substantial energy efficiencies are possible by using di...
1710.06745
Samuel Burden Ph.D.
Bora S. Banjanin, Samuel A. Burden
Nonsmooth optimal value and policy functions in mechanical systems subject to unilateral constraints
Submitted to IEEE CSL
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State-of-the-art approaches to optimal control use smooth approximations of value and policy functions and gradient-based algorithms for improving approximator parameters. Unfortunately, we show that value and policy functions that arise in optimal control of mechanical systems subject to unilateral constraints -- i....
[ { "created": "Wed, 18 Oct 2017 14:21:14 GMT", "version": "v1" }, { "created": "Tue, 27 Aug 2019 20:02:17 GMT", "version": "v2" } ]
2019-08-29
[ [ "Banjanin", "Bora S.", "" ], [ "Burden", "Samuel A.", "" ] ]
State-of-the-art approaches to optimal control use smooth approximations of value and policy functions and gradient-based algorithms for improving approximator parameters. Unfortunately, we show that value and policy functions that arise in optimal control of mechanical systems subject to unilateral constraints -- i.e....
2312.02839
Mohammad Naseritehrani
Mohammad NaseriTehrani, MohammadJavad Salehi and Antti T\"olli
Low-complexity Linear Multicast Beamforming for Cache-aided MIMO Communications
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
A practical and scalable multicast beamformer design in multi-input multi-output~(MIMO) coded caching~(CC) systems is introduced in this paper. The proposed approach allows multicast transmission to multiple groups with partially overlapping user sets using receiver dimensions to distinguish between different group-s...
[ { "created": "Tue, 5 Dec 2023 15:45:19 GMT", "version": "v1" } ]
2023-12-06
[ [ "NaseriTehrani", "Mohammad", "" ], [ "Salehi", "MohammadJavad", "" ], [ "Tölli", "Antti", "" ] ]
A practical and scalable multicast beamformer design in multi-input multi-output~(MIMO) coded caching~(CC) systems is introduced in this paper. The proposed approach allows multicast transmission to multiple groups with partially overlapping user sets using receiver dimensions to distinguish between different group-spe...
1712.02085
Yaolu Qin
Feng Shu, Yaolu Qin, Tingting Liu, Linqing Gui, Yijin Zhang, Jun Li, and Zhu Han
Low-Complexity and High-Resolution DOA Estimation for Hybrid Analog and Digital Massive MIMO Receive Array
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A large-scale fully-digital receive antenna array can provide very high-resolution direction of arrival (DOA) estimation, but resulting in a significantly high RF-chain circuit cost. Thus, a hybrid analog and digital (HAD) structure is preferred. Two phase alignment (PA) methods, HAD PA (HADPA) and hybrid digital and...
[ { "created": "Wed, 6 Dec 2017 08:50:37 GMT", "version": "v1" } ]
2017-12-07
[ [ "Shu", "Feng", "" ], [ "Qin", "Yaolu", "" ], [ "Liu", "Tingting", "" ], [ "Gui", "Linqing", "" ], [ "Zhang", "Yijin", "" ], [ "Li", "Jun", "" ], [ "Han", "Zhu", "" ] ]
A large-scale fully-digital receive antenna array can provide very high-resolution direction of arrival (DOA) estimation, but resulting in a significantly high RF-chain circuit cost. Thus, a hybrid analog and digital (HAD) structure is preferred. Two phase alignment (PA) methods, HAD PA (HADPA) and hybrid digital and a...
1805.04658
Hao Peng
Hao Peng, Sam Thomson, and Noah A. Smith
Backpropagating through Structured Argmax using a SPIGOT
ACL 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the structured projection of intermediate gradients optimization technique (SPIGOT), a new method for backpropagating through neural networks that include hard-decision structured predictions (e.g., parsing) in intermediate layers. SPIGOT requires no marginal inference, unlike structured attention networ...
[ { "created": "Sat, 12 May 2018 05:27:45 GMT", "version": "v1" } ]
2018-05-15
[ [ "Peng", "Hao", "" ], [ "Thomson", "Sam", "" ], [ "Smith", "Noah A.", "" ] ]
We introduce the structured projection of intermediate gradients optimization technique (SPIGOT), a new method for backpropagating through neural networks that include hard-decision structured predictions (e.g., parsing) in intermediate layers. SPIGOT requires no marginal inference, unlike structured attention networks...
2102.08201
Mohammadi Zaki
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan and Shie Mannor
Improper Reinforcement Learning with Gradient-based Policy Optimization
null
null
null
null
cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider an improper reinforcement learning setting where a learner is given $M$ base controllers for an unknown Markov decision process, and wishes to combine them optimally to produce a potentially new controller that can outperform each of the base ones. This can be useful in tuning across controllers, learnt p...
[ { "created": "Tue, 16 Feb 2021 14:53:55 GMT", "version": "v1" }, { "created": "Sun, 21 Feb 2021 05:38:08 GMT", "version": "v2" }, { "created": "Sat, 3 Jul 2021 06:11:25 GMT", "version": "v3" } ]
2021-07-06
[ [ "Zaki", "Mohammadi", "" ], [ "Mohan", "Avinash", "" ], [ "Gopalan", "Aditya", "" ], [ "Mannor", "Shie", "" ] ]
We consider an improper reinforcement learning setting where a learner is given $M$ base controllers for an unknown Markov decision process, and wishes to combine them optimally to produce a potentially new controller that can outperform each of the base ones. This can be useful in tuning across controllers, learnt pos...
2012.09372
Pengju Zhang
Pengju Zhang, Yihong Wu, Jiagang Zhu
Semi-Global Shape-aware Network
8 pages, 6 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-local operations are usually used to capture long-range dependencies via aggregating global context to each position recently. However, most of the methods cannot preserve object shapes since they only focus on feature similarity but ignore proximity between central and other positions for capturing long-range de...
[ { "created": "Thu, 17 Dec 2020 02:52:10 GMT", "version": "v1" } ]
2020-12-18
[ [ "Zhang", "Pengju", "" ], [ "Wu", "Yihong", "" ], [ "Zhu", "Jiagang", "" ] ]
Non-local operations are usually used to capture long-range dependencies via aggregating global context to each position recently. However, most of the methods cannot preserve object shapes since they only focus on feature similarity but ignore proximity between central and other positions for capturing long-range depe...
2306.15470
Zhe Wang
Zhe Wang, Yansha Deng, and A. Hamid Aghvami
Goal-oriented Semantic Communications for Avatar-centric Augmented Reality
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Upon the advent of the emerging metaverse and its related applications in Augmented Reality (AR), the current bit-oriented network struggles to support real-time changes for the vast amount of associated information, hindering its development. Thus, a critical revolution in the Sixth Generation (6G) networks is envis...
[ { "created": "Tue, 27 Jun 2023 13:41:54 GMT", "version": "v1" }, { "created": "Tue, 4 Jul 2023 13:17:42 GMT", "version": "v2" }, { "created": "Tue, 26 Mar 2024 17:32:47 GMT", "version": "v3" }, { "created": "Mon, 17 Jun 2024 20:57:29 GMT", "version": "v4" } ]
2024-06-19
[ [ "Wang", "Zhe", "" ], [ "Deng", "Yansha", "" ], [ "Aghvami", "A. Hamid", "" ] ]
Upon the advent of the emerging metaverse and its related applications in Augmented Reality (AR), the current bit-oriented network struggles to support real-time changes for the vast amount of associated information, hindering its development. Thus, a critical revolution in the Sixth Generation (6G) networks is envisio...
2111.07518
Qi Song
Qiquan Zhang, Qi Song, Zhaoheng Ni, Aaron Nicolson, Haizhou Li
Time-Frequency Attention for Monaural Speech Enhancement
5 pages, 4 figures, Accepted and presented at ICASSP 2022
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Most studies on speech enhancement generally don't consider the energy distribution of speech in time-frequency (T-F) representation, which is important for accurate prediction of mask or spectra. In this paper, we present a simple yet effective T-F attention (TFA) module, where a 2-D attention map is produced to pro...
[ { "created": "Mon, 15 Nov 2021 03:43:04 GMT", "version": "v1" }, { "created": "Wed, 17 Nov 2021 06:24:34 GMT", "version": "v2" }, { "created": "Wed, 9 Mar 2022 09:02:50 GMT", "version": "v3" } ]
2022-03-10
[ [ "Zhang", "Qiquan", "" ], [ "Song", "Qi", "" ], [ "Ni", "Zhaoheng", "" ], [ "Nicolson", "Aaron", "" ], [ "Li", "Haizhou", "" ] ]
Most studies on speech enhancement generally don't consider the energy distribution of speech in time-frequency (T-F) representation, which is important for accurate prediction of mask or spectra. In this paper, we present a simple yet effective T-F attention (TFA) module, where a 2-D attention map is produced to provi...
2209.03356
Ruikang Luo Mr
Ruikang Luo, Yaofeng Song, Liping Huang, Yicheng Zhang and Rong Su
AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting
10 pages; 17 figures; Under review for IEEE Transaction on Vehicular Technology
null
null
null
cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Electric Vehicle (EV) charging demand and charging station availability forecasting is one of the challenges in the intelligent transportation system. With the accurate EV station situation prediction, suitable charging behaviors could be scheduled in advance to relieve range anxiety. Many existing deep learning meth...
[ { "created": "Wed, 7 Sep 2022 13:51:45 GMT", "version": "v1" } ]
2022-09-09
[ [ "Luo", "Ruikang", "" ], [ "Song", "Yaofeng", "" ], [ "Huang", "Liping", "" ], [ "Zhang", "Yicheng", "" ], [ "Su", "Rong", "" ] ]
Electric Vehicle (EV) charging demand and charging station availability forecasting is one of the challenges in the intelligent transportation system. With the accurate EV station situation prediction, suitable charging behaviors could be scheduled in advance to relieve range anxiety. Many existing deep learning method...
2004.09630
Francisco J. Escribano
Francisco J. Escribano, Jos\'e S\'aez-Landete and Alexandre Wagemakers
Optimization of Chaos-based Coded Modulations for Compensation of Amplifier Nonlinearities
2 pages, 3 figures
Electronics Letters, vol. 52, no. 22, pp. 1855-1857, 27 10 2016
10.1049/el.2016.2864
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we expand the possibilities of a known class of chaos-based coded modulation (CCM) systems to address the problem of high-power amplifier (HPA) nonlinearity. The hypothesis is that the CCM nonlinear nature can be exploited to counteract its effects on the system performance, avoiding the need of a predis...
[ { "created": "Mon, 20 Apr 2020 20:47:29 GMT", "version": "v1" } ]
2020-04-22
[ [ "Escribano", "Francisco J.", "" ], [ "Sáez-Landete", "José", "" ], [ "Wagemakers", "Alexandre", "" ] ]
In this work we expand the possibilities of a known class of chaos-based coded modulation (CCM) systems to address the problem of high-power amplifier (HPA) nonlinearity. The hypothesis is that the CCM nonlinear nature can be exploited to counteract its effects on the system performance, avoiding the need of a predisto...
1806.09823
Ilya Razenshteyn
Alexandr Andoni, Piotr Indyk, Ilya Razenshteyn
Approximate Nearest Neighbor Search in High Dimensions
27 pages, no figures; to appear in the proceedings of ICM 2018 (accompanying the talk by P. Indyk)
null
null
null
cs.DS cs.CG cs.DB stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The nearest neighbor problem is defined as follows: Given a set $P$ of $n$ points in some metric space $(X,D)$, build a data structure that, given any point $q$, returns a point in $P$ that is closest to $q$ (its "nearest neighbor" in $P$). The data structure stores additional information about the set $P$, which is ...
[ { "created": "Tue, 26 Jun 2018 07:35:45 GMT", "version": "v1" } ]
2018-06-27
[ [ "Andoni", "Alexandr", "" ], [ "Indyk", "Piotr", "" ], [ "Razenshteyn", "Ilya", "" ] ]
The nearest neighbor problem is defined as follows: Given a set $P$ of $n$ points in some metric space $(X,D)$, build a data structure that, given any point $q$, returns a point in $P$ that is closest to $q$ (its "nearest neighbor" in $P$). The data structure stores additional information about the set $P$, which is th...
2202.07215
Byeongjun Park
Byeongjun Park, Jeongsoo Kim, Seungju Cho, Heeseon Kim, Changick Kim
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
5 pages, 4 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Label distributions in camera-trap images are highly imbalanced and long-tailed, resulting in neural networks tending to be biased towards head-classes that appear frequently. Although long-tail learning has been extremely explored to address data imbalances, few studies have been conducted to consider camera-trap ch...
[ { "created": "Tue, 15 Feb 2022 06:08:13 GMT", "version": "v1" }, { "created": "Wed, 16 Feb 2022 01:41:01 GMT", "version": "v2" } ]
2022-02-17
[ [ "Park", "Byeongjun", "" ], [ "Kim", "Jeongsoo", "" ], [ "Cho", "Seungju", "" ], [ "Kim", "Heeseon", "" ], [ "Kim", "Changick", "" ] ]
Label distributions in camera-trap images are highly imbalanced and long-tailed, resulting in neural networks tending to be biased towards head-classes that appear frequently. Although long-tail learning has been extremely explored to address data imbalances, few studies have been conducted to consider camera-trap char...
2307.01570
Thien Van Luong Dr
Vu-Duc Ngo, Tuan-Cuong Vuong, Thien Van Luong, and Hung Tran
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction
null
null
null
null
cs.CR cs.AI
http://creativecommons.org/licenses/by/4.0/
Internet of things (IoT) has been playing an important role in many sectors, such as smart cities, smart agriculture, smart healthcare, and smart manufacturing. However, IoT devices are highly vulnerable to cyber-attacks, which may result in security breaches and data leakages. To effectively prevent these attacks, a...
[ { "created": "Tue, 4 Jul 2023 08:48:01 GMT", "version": "v1" } ]
2023-07-06
[ [ "Ngo", "Vu-Duc", "" ], [ "Vuong", "Tuan-Cuong", "" ], [ "Van Luong", "Thien", "" ], [ "Tran", "Hung", "" ] ]
Internet of things (IoT) has been playing an important role in many sectors, such as smart cities, smart agriculture, smart healthcare, and smart manufacturing. However, IoT devices are highly vulnerable to cyber-attacks, which may result in security breaches and data leakages. To effectively prevent these attacks, a v...
1003.3386
Hakan Ozadam
Edgar Martinez-Moro, Hakan Ozadam, Ferruh Ozbudak, Steve Szabo
Monomial-like codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a generalization of cyclic codes of length p^s over F_{p^a}, we study n-dimensional cyclic codes of length p^{s_1} X ... X p^{s_n} over F_{p^a} generated by a single "monomial". Namely, we study multi-variable cyclic codes of the form <(x_1 - 1)^{i_1} ... (x_n - 1)^{i_n}> in F_{p^a}[x_1...x_n] / < x_1^{p^{s_1}}-1,...
[ { "created": "Wed, 17 Mar 2010 15:03:14 GMT", "version": "v1" } ]
2010-03-18
[ [ "Martinez-Moro", "Edgar", "" ], [ "Ozadam", "Hakan", "" ], [ "Ozbudak", "Ferruh", "" ], [ "Szabo", "Steve", "" ] ]
As a generalization of cyclic codes of length p^s over F_{p^a}, we study n-dimensional cyclic codes of length p^{s_1} X ... X p^{s_n} over F_{p^a} generated by a single "monomial". Namely, we study multi-variable cyclic codes of the form <(x_1 - 1)^{i_1} ... (x_n - 1)^{i_n}> in F_{p^a}[x_1...x_n] / < x_1^{p^{s_1}}-1, ....
2204.12261
Djordje Jevdjic
Dehui Lin, Yasamin Tabatabaee, Yash Pote, and Djordje Jevdjic
Managing Reliability Skew in DNA Storage
In Proceedings of the International Symposium on Computer Architecture (ISCA 2022)
null
10.1145/3470496.3527441
null
cs.ET cs.AR cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
DNA is emerging as an increasingly attractive medium for data storage due to a number of important and unique advantages it offers, most notably the unprecedented durability and density. While the technology is evolving rapidly, the prohibitive cost of reads and writes, the high frequency and the peculiar nature of e...
[ { "created": "Tue, 26 Apr 2022 12:34:46 GMT", "version": "v1" }, { "created": "Fri, 29 Apr 2022 22:09:56 GMT", "version": "v2" } ]
2022-05-03
[ [ "Lin", "Dehui", "" ], [ "Tabatabaee", "Yasamin", "" ], [ "Pote", "Yash", "" ], [ "Jevdjic", "Djordje", "" ] ]
DNA is emerging as an increasingly attractive medium for data storage due to a number of important and unique advantages it offers, most notably the unprecedented durability and density. While the technology is evolving rapidly, the prohibitive cost of reads and writes, the high frequency and the peculiar nature of err...
1509.02995
Gene Cheung
Wei Dai, Gene Cheung, Ngai-Man Cheung, Antonio Ortega, Oscar C. Au
Merge Frame Design for Video Stream Switching using Piecewise Constant Functions
null
null
10.1109/TIP.2016.2571564
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ability to efficiently switch from one pre-encoded video stream to another (e.g., for bitrate adaptation or view switching) is important for many interactive streaming applications. Recently, stream-switching mechanisms based on distributed source coding (DSC) have been proposed. In order to reduce the overall tr...
[ { "created": "Thu, 10 Sep 2015 03:27:33 GMT", "version": "v1" } ]
2016-06-29
[ [ "Dai", "Wei", "" ], [ "Cheung", "Gene", "" ], [ "Cheung", "Ngai-Man", "" ], [ "Ortega", "Antonio", "" ], [ "Au", "Oscar C.", "" ] ]
The ability to efficiently switch from one pre-encoded video stream to another (e.g., for bitrate adaptation or view switching) is important for many interactive streaming applications. Recently, stream-switching mechanisms based on distributed source coding (DSC) have been proposed. In order to reduce the overall tran...
1704.03647
Sleiman Mhanna Dr.
Sleiman Mhanna, Gregor Verbic and Archie Chapman
A Component-Based Dual Decomposition Method for the OPF Problem
null
null
null
null
cs.DC math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a component-based dual decomposition of the nonconvex AC optimal power flow (OPF) problem, where the modified dual function is solved in a distributed fashion. The main contribution of this work is that is demonstrates that a distributed method with carefully tuned parameters can converge to globa...
[ { "created": "Wed, 12 Apr 2017 07:30:53 GMT", "version": "v1" }, { "created": "Wed, 19 Apr 2017 11:49:25 GMT", "version": "v2" }, { "created": "Wed, 3 May 2017 02:25:00 GMT", "version": "v3" }, { "created": "Sun, 18 Jun 2017 06:08:14 GMT", "version": "v4" }, { "cr...
2017-08-23
[ [ "Mhanna", "Sleiman", "" ], [ "Verbic", "Gregor", "" ], [ "Chapman", "Archie", "" ] ]
This paper proposes a component-based dual decomposition of the nonconvex AC optimal power flow (OPF) problem, where the modified dual function is solved in a distributed fashion. The main contribution of this work is that is demonstrates that a distributed method with carefully tuned parameters can converge to globall...
2307.08504
Chaoya Jiang
Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
Accepted on ICCV2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models have demonstrated impressive performance in various tasks. However, the lengthy visual token sequences fed into ViT can lead to training inefficiency and ineffectiveness. Existing efforts address the challenge by either bottom-level patch extrac...
[ { "created": "Mon, 17 Jul 2023 14:08:17 GMT", "version": "v1" }, { "created": "Sat, 24 Feb 2024 03:54:37 GMT", "version": "v2" } ]
2024-02-27
[ [ "Jiang", "Chaoya", "" ], [ "Xu", "Haiyang", "" ], [ "Ye", "Wei", "" ], [ "Ye", "Qinghao", "" ], [ "Li", "Chenliang", "" ], [ "Yan", "Ming", "" ], [ "Bi", "Bin", "" ], [ "Zhang", "Shikun", ""...
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models have demonstrated impressive performance in various tasks. However, the lengthy visual token sequences fed into ViT can lead to training inefficiency and ineffectiveness. Existing efforts address the challenge by either bottom-level patch extracti...
2101.02691
Zaiwei Zhang
Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
Self-Supervised Pretraining of 3D Features on any Point-Cloud
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pretraining on large labeled datasets is a prerequisite to achieve good performance in many computer vision tasks like 2D object recognition, video classification etc. However, pretraining is not widely used for 3D recognition tasks where state-of-the-art methods train models from scratch. A primary reason is the lac...
[ { "created": "Thu, 7 Jan 2021 18:55:21 GMT", "version": "v1" } ]
2021-01-08
[ [ "Zhang", "Zaiwei", "" ], [ "Girdhar", "Rohit", "" ], [ "Joulin", "Armand", "" ], [ "Misra", "Ishan", "" ] ]
Pretraining on large labeled datasets is a prerequisite to achieve good performance in many computer vision tasks like 2D object recognition, video classification etc. However, pretraining is not widely used for 3D recognition tasks where state-of-the-art methods train models from scratch. A primary reason is the lack ...
2210.05404
Zifan Jiang
Zifan Jiang, Amit Moryossef, Mathias M\"uller, Sarah Ebling
Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting
Accepted at EACL 2023 (Findings)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system. Our work seeks to address the lack of out-of-the-box support for signed languages in current MT systems and is based on the Sig...
[ { "created": "Tue, 11 Oct 2022 12:28:06 GMT", "version": "v1" }, { "created": "Thu, 23 Feb 2023 10:08:01 GMT", "version": "v2" } ]
2023-02-24
[ [ "Jiang", "Zifan", "" ], [ "Moryossef", "Amit", "" ], [ "Müller", "Mathias", "" ], [ "Ebling", "Sarah", "" ] ]
This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system. Our work seeks to address the lack of out-of-the-box support for signed languages in current MT systems and is based on the SignB...
2404.01878
Shahzeb Naeem
Shahzeb Naeem, Ramzi Al-Sharawi, Muhammad Riyyan Khan, Usman Tariq, Abhinav Dhall and Hasan Al-Nashash
Real, fake and synthetic faces -- does the coin have three sides?
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
With the ever-growing power of generative artificial intelligence, deepfake and artificially generated (synthetic) media have continued to spread online, which creates various ethical and moral concerns regarding their usage. To tackle this, we thus present a novel exploration of the trends and patterns observed in r...
[ { "created": "Tue, 2 Apr 2024 12:08:26 GMT", "version": "v1" } ]
2024-04-03
[ [ "Naeem", "Shahzeb", "" ], [ "Al-Sharawi", "Ramzi", "" ], [ "Khan", "Muhammad Riyyan", "" ], [ "Tariq", "Usman", "" ], [ "Dhall", "Abhinav", "" ], [ "Al-Nashash", "Hasan", "" ] ]
With the ever-growing power of generative artificial intelligence, deepfake and artificially generated (synthetic) media have continued to spread online, which creates various ethical and moral concerns regarding their usage. To tackle this, we thus present a novel exploration of the trends and patterns observed in rea...
1604.02253
Erlend Magnus Viggen
Tor Arne Reinen, Arne Lie, Finn Tore Knudsen
SensIs - Underwater acoustic network for ice-monitoring
10 pages, 5 figures, 2 tables; part of the Proceedings of the 39th Scandinavian Symposium on Physical Acoustics (arXiv:1604.01763)
null
null
null
cs.NI physics.ao-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Routing for low latency underwater acoustic network-communication is investigated. The application is monitoring of ice-threats to offshore operations in the Arctic - to provide warnings that enable operators to react to such threats. The scenario produces relatively high traffic load, and the network should favour l...
[ { "created": "Fri, 8 Apr 2016 07:25:47 GMT", "version": "v1" } ]
2016-04-11
[ [ "Reinen", "Tor Arne", "" ], [ "Lie", "Arne", "" ], [ "Knudsen", "Finn Tore", "" ] ]
Routing for low latency underwater acoustic network-communication is investigated. The application is monitoring of ice-threats to offshore operations in the Arctic - to provide warnings that enable operators to react to such threats. The scenario produces relatively high traffic load, and the network should favour low...
2405.06306
Javier Coronado-Bl\'azquez
Javier Coronado-Bl\'azquez
A NLP Approach to "Review Bombing" in Metacritic PC Videogames User Ratings
11 pages, 4 figures. Accepted by Discover Artificial Intelligence but withdrawn due to APC
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Many videogames suffer "review bombing" -a large volume of unusually low scores that in many cases do not reflect the real quality of the product- when rated by users. By taking Metacritic's 50,000+ user score aggregations for PC games in English language, we use a Natural Language Processing (NLP) approach to try to...
[ { "created": "Fri, 10 May 2024 08:31:04 GMT", "version": "v1" } ]
2024-05-13
[ [ "Coronado-Blázquez", "Javier", "" ] ]
Many videogames suffer "review bombing" -a large volume of unusually low scores that in many cases do not reflect the real quality of the product- when rated by users. By taking Metacritic's 50,000+ user score aggregations for PC games in English language, we use a Natural Language Processing (NLP) approach to try to u...
2407.19610
Mohammed Al-Maamari
Mohammed Al-Maamari, Mehdi Ben Amor, Michael Granitzer
Mixture of Modular Experts: Distilling Knowledge from a Multilingual Teacher into Specialized Modular Language Models
Preprint
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
This research combines Knowledge Distillation (KD) and Mixture of Experts (MoE) to develop modular, efficient multilingual language models. Key objectives include evaluating adaptive versus fixed alpha methods in KD and comparing modular MoE architectures for handling multi-domain inputs and preventing catastrophic f...
[ { "created": "Sun, 28 Jul 2024 23:42:09 GMT", "version": "v1" } ]
2024-07-30
[ [ "Al-Maamari", "Mohammed", "" ], [ "Amor", "Mehdi Ben", "" ], [ "Granitzer", "Michael", "" ] ]
This research combines Knowledge Distillation (KD) and Mixture of Experts (MoE) to develop modular, efficient multilingual language models. Key objectives include evaluating adaptive versus fixed alpha methods in KD and comparing modular MoE architectures for handling multi-domain inputs and preventing catastrophic for...
2008.06254
Ye Liu
Ye Liu, Junsong Yuan, Chang Wen Chen
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection
Accepted to Proceedings of the 28th ACM International Conference on Multimedia (MM 2020)
null
10.1145/3394171.3413600
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of Human-Object Interaction (HOI) Detection, which aims to locate and recognize HOI instances in the form of <human, action, object> in images. Most existing works treat HOIs as individual interaction categories, thus can not handle the problem of long-tail distribution and polysemy of action ...
[ { "created": "Fri, 14 Aug 2020 09:11:18 GMT", "version": "v1" }, { "created": "Tue, 15 Sep 2020 05:35:03 GMT", "version": "v2" }, { "created": "Wed, 7 Apr 2021 20:38:46 GMT", "version": "v3" }, { "created": "Sun, 27 Mar 2022 07:49:43 GMT", "version": "v4" } ]
2022-03-29
[ [ "Liu", "Ye", "" ], [ "Yuan", "Junsong", "" ], [ "Chen", "Chang Wen", "" ] ]
We consider the problem of Human-Object Interaction (HOI) Detection, which aims to locate and recognize HOI instances in the form of <human, action, object> in images. Most existing works treat HOIs as individual interaction categories, thus can not handle the problem of long-tail distribution and polysemy of action la...
1804.10795
Menghan Wang
Menghan Wang, Xiaolin Zheng, Kun Zhang
User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers recommendation algorithm ensembles in a user-sensitive manner. Recently researchers have proposed various effective recommendation algorithms, which utilized different aspects of the data and different techniques. However, the "user skewed prediction" problem may exist for almost all recommendati...
[ { "created": "Sat, 28 Apr 2018 12:35:27 GMT", "version": "v1" } ]
2018-05-01
[ [ "Wang", "Menghan", "" ], [ "Zheng", "Xiaolin", "" ], [ "Zhang", "Kun", "" ] ]
This paper considers recommendation algorithm ensembles in a user-sensitive manner. Recently researchers have proposed various effective recommendation algorithms, which utilized different aspects of the data and different techniques. However, the "user skewed prediction" problem may exist for almost all recommendation...
1707.01898
Shiyu Ji
Shiyu Ji, Kun Wan
Adaptive Modular Exponentiation Methods v.s. Python's Power Function
4 pages
null
null
null
cs.DS cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we use Python to implement two efficient modular exponentiation methods: the adaptive m-ary method and the adaptive sliding-window method of window size k, where both m's are adaptively chosen based on the length of exponent. We also conduct the benchmark for both methods. Evaluation results show that c...
[ { "created": "Thu, 6 Jul 2017 04:12:25 GMT", "version": "v1" } ]
2017-07-10
[ [ "Ji", "Shiyu", "" ], [ "Wan", "Kun", "" ] ]
In this paper we use Python to implement two efficient modular exponentiation methods: the adaptive m-ary method and the adaptive sliding-window method of window size k, where both m's are adaptively chosen based on the length of exponent. We also conduct the benchmark for both methods. Evaluation results show that com...
2209.11083
Tobias Schr\"ader
Tobias Schr\"ader, Robert Graubohm, Nayel Fabian Salem, and Markus Maurer
Designing an Automated Vehicle: Strategies for Handling Tasks of a Previously Required Accompanying Person
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
When using a conventional passenger car, several groups of people are reliant on the assistance of an accompanying person, for example when getting in and out of the car. For the independent use of an automatically driving vehicle by those groups, the absence of a previously required accompanying person needs to be c...
[ { "created": "Thu, 22 Sep 2022 15:15:10 GMT", "version": "v1" } ]
2022-09-23
[ [ "Schräder", "Tobias", "" ], [ "Graubohm", "Robert", "" ], [ "Salem", "Nayel Fabian", "" ], [ "Maurer", "Markus", "" ] ]
When using a conventional passenger car, several groups of people are reliant on the assistance of an accompanying person, for example when getting in and out of the car. For the independent use of an automatically driving vehicle by those groups, the absence of a previously required accompanying person needs to be com...
2112.03553
Binh Le M.
Binh M. Le and Simon S. Woo
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
null
Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite significant advancements of deep learning-based forgery detectors for distinguishing manipulated deepfake images, most detection approaches suffer from moderate to significant performance degradation with low-quality compressed deepfake images. Because of the limited information in low-quality images, detecti...
[ { "created": "Tue, 7 Dec 2021 07:58:28 GMT", "version": "v1" } ]
2021-12-08
[ [ "Le", "Binh M.", "" ], [ "Woo", "Simon S.", "" ] ]
Despite significant advancements of deep learning-based forgery detectors for distinguishing manipulated deepfake images, most detection approaches suffer from moderate to significant performance degradation with low-quality compressed deepfake images. Because of the limited information in low-quality images, detecting...
1911.08568
Michael Diodato
Michael Diodato, Yu Li, Antonia Lovjer, Minsu Yeom, Albert Song, Yiyang Zeng, Abhay Khosla, Benedikt Schifferer, Manik Goyal, Iddo Drori
Accurate Trajectory Prediction for Autonomous Vehicles
arXiv admin note: text overlap with arXiv:1910.10318, arXiv:1910.10317
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predicting vehicle trajectories, angle and speed is important for safe and comfortable driving. We demonstrate the best predicted angle, speed, and best performance overall winning the top three places of the ICCV 2019 Learning to Drive challenge. Our key contributions are (i) a general neural network system architec...
[ { "created": "Mon, 18 Nov 2019 06:38:33 GMT", "version": "v1" } ]
2019-11-21
[ [ "Diodato", "Michael", "" ], [ "Li", "Yu", "" ], [ "Lovjer", "Antonia", "" ], [ "Yeom", "Minsu", "" ], [ "Song", "Albert", "" ], [ "Zeng", "Yiyang", "" ], [ "Khosla", "Abhay", "" ], [ "Schifferer", ...
Predicting vehicle trajectories, angle and speed is important for safe and comfortable driving. We demonstrate the best predicted angle, speed, and best performance overall winning the top three places of the ICCV 2019 Learning to Drive challenge. Our key contributions are (i) a general neural network system architectu...
1912.10211
Qiuqiang Kong
Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, Mark D. Plumbley
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
14 pages
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, speech emotion classification and sound event detection. Recently, neural networks have been applied to tackle audio pattern rec...
[ { "created": "Sat, 21 Dec 2019 06:53:14 GMT", "version": "v1" }, { "created": "Sat, 4 Jan 2020 08:37:04 GMT", "version": "v2" }, { "created": "Mon, 13 Jan 2020 06:29:17 GMT", "version": "v3" }, { "created": "Thu, 9 Jul 2020 01:44:14 GMT", "version": "v4" }, { "cre...
2020-08-25
[ [ "Kong", "Qiuqiang", "" ], [ "Cao", "Yin", "" ], [ "Iqbal", "Turab", "" ], [ "Wang", "Yuxuan", "" ], [ "Wang", "Wenwu", "" ], [ "Plumbley", "Mark D.", "" ] ]
Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, speech emotion classification and sound event detection. Recently, neural networks have been applied to tackle audio pattern recog...
1712.01877
Hadi Sarieddeen Mr.
H. Sarieddeen, M. M. Mansour, and A. Chehab
Large MIMO Detection Schemes Based on Channel Puncturing: Performance and Complexity Analysis
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A family of low-complexity detection schemes based on channel matrix puncturing targeted for large multiple-input multiple-output (MIMO) systems is proposed. It is well-known that the computational cost of MIMO detection based on QR decomposition is directly proportional to the number of non-zero entries involved in ...
[ { "created": "Tue, 5 Dec 2017 19:27:17 GMT", "version": "v1" } ]
2017-12-07
[ [ "Sarieddeen", "H.", "" ], [ "Mansour", "M. M.", "" ], [ "Chehab", "A.", "" ] ]
A family of low-complexity detection schemes based on channel matrix puncturing targeted for large multiple-input multiple-output (MIMO) systems is proposed. It is well-known that the computational cost of MIMO detection based on QR decomposition is directly proportional to the number of non-zero entries involved in ba...
2111.15546
Byol Kim
Byol Kim and Rina Foygel Barber
Black-box tests for algorithmic stability
37 pages. Minor edits to match the journal-submitted version
null
null
null
cs.LG math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithmic stability is a concept from learning theory that expresses the degree to which changes to the input data (e.g., removal of a single data point) may affect the outputs of a regression algorithm. Knowing an algorithm's stability properties is often useful for many downstream applications -- for example, sta...
[ { "created": "Tue, 30 Nov 2021 16:36:58 GMT", "version": "v1" }, { "created": "Wed, 25 May 2022 16:18:07 GMT", "version": "v2" }, { "created": "Thu, 25 Aug 2022 04:39:06 GMT", "version": "v3" }, { "created": "Sat, 10 Sep 2022 17:08:10 GMT", "version": "v4" }, { "c...
2022-12-23
[ [ "Kim", "Byol", "" ], [ "Barber", "Rina Foygel", "" ] ]
Algorithmic stability is a concept from learning theory that expresses the degree to which changes to the input data (e.g., removal of a single data point) may affect the outputs of a regression algorithm. Knowing an algorithm's stability properties is often useful for many downstream applications -- for example, stabi...
2310.05723
Trevor McInroe
Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Amos Storkey
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
10 pages, 17 figures, published at RLC 2024
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Offline pretraining with a static dataset followed by online fine-tuning (offline-to-online, or OtO) is a paradigm well matched to a real-world RL deployment process. In this scenario, we aim to find the best-performing policy within a limited budget of online interactions. Previous work in the OtO setting has focuse...
[ { "created": "Mon, 9 Oct 2023 13:47:05 GMT", "version": "v1" }, { "created": "Wed, 27 Mar 2024 09:48:34 GMT", "version": "v2" }, { "created": "Fri, 21 Jun 2024 13:13:15 GMT", "version": "v3" } ]
2024-06-24
[ [ "McInroe", "Trevor", "" ], [ "Jelley", "Adam", "" ], [ "Albrecht", "Stefano V.", "" ], [ "Storkey", "Amos", "" ] ]
Offline pretraining with a static dataset followed by online fine-tuning (offline-to-online, or OtO) is a paradigm well matched to a real-world RL deployment process. In this scenario, we aim to find the best-performing policy within a limited budget of online interactions. Previous work in the OtO setting has focused ...
1402.2440
Regina Ammer
Regina Ammer, Matthias Markl, Vera J\"uchter, Carolin K\"orner, Ulrich R\"ude
Validation Experiments for LBM Simulations of Electron Beam Melting
submitted to "International Journal of Modern Physics C"
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper validates 3D simulation results of electron beam melting (EBM) processes comparing experimental and numerical data. The physical setup is presented which is discretized by a three dimensional (3D) thermal lattice Boltzmann method (LBM). An experimental process window is used for the validation depending on...
[ { "created": "Tue, 11 Feb 2014 10:59:00 GMT", "version": "v1" } ]
2014-02-12
[ [ "Ammer", "Regina", "" ], [ "Markl", "Matthias", "" ], [ "Jüchter", "Vera", "" ], [ "Körner", "Carolin", "" ], [ "Rüde", "Ulrich", "" ] ]
This paper validates 3D simulation results of electron beam melting (EBM) processes comparing experimental and numerical data. The physical setup is presented which is discretized by a three dimensional (3D) thermal lattice Boltzmann method (LBM). An experimental process window is used for the validation depending on t...
1903.00802
Aviral Kumar
Aviral Kumar, Sunita Sarawagi
Calibration of Encoder Decoder Models for Neural Machine Translation
12 Pages
null
null
null
cs.LG cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the calibration of several state of the art neural machine translation(NMT) systems built on attention-based encoder-decoder models. For structured outputs like in NMT, calibration is important not just for reliable confidence with predictions, but also for proper functioning of beam-search inference. We sho...
[ { "created": "Sun, 3 Mar 2019 01:08:47 GMT", "version": "v1" } ]
2019-03-06
[ [ "Kumar", "Aviral", "" ], [ "Sarawagi", "Sunita", "" ] ]
We study the calibration of several state of the art neural machine translation(NMT) systems built on attention-based encoder-decoder models. For structured outputs like in NMT, calibration is important not just for reliable confidence with predictions, but also for proper functioning of beam-search inference. We show ...
2010.14864
Constantinos Daskalakis
Constantinos Daskalakis and Qinxuan Pan
Sample-Optimal and Efficient Learning of Tree Ising models
null
null
null
null
cs.LG cs.DS cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that $n$-variable tree-structured Ising models can be learned computationally-efficiently to within total variation distance $\epsilon$ from an optimal $O(n \ln n/\epsilon^2)$ samples, where $O(\cdot)$ hides an absolute constant which, importantly, does not depend on the model being learned - neither its tree...
[ { "created": "Wed, 28 Oct 2020 10:17:48 GMT", "version": "v1" }, { "created": "Sun, 29 Nov 2020 22:50:21 GMT", "version": "v2" } ]
2020-12-01
[ [ "Daskalakis", "Constantinos", "" ], [ "Pan", "Qinxuan", "" ] ]
We show that $n$-variable tree-structured Ising models can be learned computationally-efficiently to within total variation distance $\epsilon$ from an optimal $O(n \ln n/\epsilon^2)$ samples, where $O(\cdot)$ hides an absolute constant which, importantly, does not depend on the model being learned - neither its tree n...
2105.02282
Matheo Zihao Wang Dr.
Zihao Wang, Herv\'e Delingette
Attention for Image Registration (AiR): an unsupervised Transformer approach
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image registration is a crucial task in signal processing, but it often encounters issues with stability and efficiency. Non-learning registration approaches rely on optimizing similarity metrics between fixed and moving images, which can be expensive in terms of time and space complexity. This problem can be exacerb...
[ { "created": "Wed, 5 May 2021 18:49:32 GMT", "version": "v1" }, { "created": "Fri, 24 Mar 2023 19:39:50 GMT", "version": "v2" } ]
2023-03-28
[ [ "Wang", "Zihao", "" ], [ "Delingette", "Hervé", "" ] ]
Image registration is a crucial task in signal processing, but it often encounters issues with stability and efficiency. Non-learning registration approaches rely on optimizing similarity metrics between fixed and moving images, which can be expensive in terms of time and space complexity. This problem can be exacerbat...
1709.04752
Igor Sabo
I.I. Sabo, H.R. Lagoda
The wave method of building color palette and its application in computer graphics
11 pages, 5 figures
null
null
null
cs.GR
http://creativecommons.org/licenses/by-nc-sa/4.0/
This article describes a method of getting a harmonious combination of colors, developed by us on the basis of the relationship of color and acoustic waves. Presents a parallel between harmoniously matched colors and the concept of harmony in music theory (consonance). Describes the physical assumption of the essence...
[ { "created": "Sun, 10 Sep 2017 11:24:08 GMT", "version": "v1" } ]
2017-09-15
[ [ "Sabo", "I. I.", "" ], [ "Lagoda", "H. R.", "" ] ]
This article describes a method of getting a harmonious combination of colors, developed by us on the basis of the relationship of color and acoustic waves. Presents a parallel between harmoniously matched colors and the concept of harmony in music theory (consonance). Describes the physical assumption of the essence o...
2312.09658
Alexander Shukhman
Leonid Legashev, Alexander Shukhman, Vadim Badikov
Algorithms for automatic intents extraction and utterances classification for goal-oriented dialogue systems
in Russian language This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern machine learning techniques in the natural language processing domain can be used to automatically generate scripts for goal-oriented dialogue systems. The current article presents a general framework for studying the automatic generation of scripts for goal-oriented dialogue systems. A method for preprocessin...
[ { "created": "Fri, 15 Dec 2023 10:12:43 GMT", "version": "v1" }, { "created": "Mon, 29 Apr 2024 15:53:27 GMT", "version": "v2" } ]
2024-04-30
[ [ "Legashev", "Leonid", "" ], [ "Shukhman", "Alexander", "" ], [ "Badikov", "Vadim", "" ] ]
Modern machine learning techniques in the natural language processing domain can be used to automatically generate scripts for goal-oriented dialogue systems. The current article presents a general framework for studying the automatic generation of scripts for goal-oriented dialogue systems. A method for preprocessing ...
2112.04213
Liran Szlak
Liran Szlak, Ohad Shamir
Convergence Results For Q-Learning With Experience Replay
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
A commonly used heuristic in RL is experience replay (e.g.~\citet{lin1993reinforcement, mnih2015human}), in which a learner stores and re-uses past trajectories as if they were sampled online. In this work, we initiate a rigorous study of this heuristic in the setting of tabular Q-learning. We provide a convergence r...
[ { "created": "Wed, 8 Dec 2021 10:22:49 GMT", "version": "v1" } ]
2021-12-09
[ [ "Szlak", "Liran", "" ], [ "Shamir", "Ohad", "" ] ]
A commonly used heuristic in RL is experience replay (e.g.~\citet{lin1993reinforcement, mnih2015human}), in which a learner stores and re-uses past trajectories as if they were sampled online. In this work, we initiate a rigorous study of this heuristic in the setting of tabular Q-learning. We provide a convergence rat...
2002.12620
Yiming Cui
Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
To appear at ACL 2020 Demo Session
null
10.18653/v1/2020.acl-demos.2
null
cs.CL cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce TextBrewer, an open-source knowledge distillation toolkit designed for natural language processing. It works with different neural network models and supports various kinds of supervised learning tasks, such as text classification, reading comprehension, sequence labeling. TextBrewer provi...
[ { "created": "Fri, 28 Feb 2020 09:44:07 GMT", "version": "v1" }, { "created": "Tue, 28 Apr 2020 02:34:38 GMT", "version": "v2" } ]
2020-12-14
[ [ "Yang", "Ziqing", "" ], [ "Cui", "Yiming", "" ], [ "Chen", "Zhipeng", "" ], [ "Che", "Wanxiang", "" ], [ "Liu", "Ting", "" ], [ "Wang", "Shijin", "" ], [ "Hu", "Guoping", "" ] ]
In this paper, we introduce TextBrewer, an open-source knowledge distillation toolkit designed for natural language processing. It works with different neural network models and supports various kinds of supervised learning tasks, such as text classification, reading comprehension, sequence labeling. TextBrewer provide...
1711.00529
Angus Forbes
Angus G. Forbes, Kristine Lee, Gus Hahn-Powell, Marco A. Valenzuela-Esc\'arcega, Mihai Surdeanu
Text Annotation Graphs: Annotating Complex Natural Language Phenomena
Accepted to LREC'18, http://lrec2018.lrec-conf.org/en/conference-programme/accepted-papers/
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This paper introduces a new web-based software tool for annotating text, Text Annotation Graphs, or TAG. It provides functionality for representing complex relationships between words and word phrases that are not available in other software tools, including the ability to define and visualize relationships between t...
[ { "created": "Wed, 1 Nov 2017 20:24:39 GMT", "version": "v1" }, { "created": "Thu, 1 Mar 2018 18:33:54 GMT", "version": "v2" } ]
2018-03-02
[ [ "Forbes", "Angus G.", "" ], [ "Lee", "Kristine", "" ], [ "Hahn-Powell", "Gus", "" ], [ "Valenzuela-Escárcega", "Marco A.", "" ], [ "Surdeanu", "Mihai", "" ] ]
This paper introduces a new web-based software tool for annotating text, Text Annotation Graphs, or TAG. It provides functionality for representing complex relationships between words and word phrases that are not available in other software tools, including the ability to define and visualize relationships between the...
2205.06970
Peng Xu
Peng Xu, Hu Cheng, Jiankun Wang, Max Q.-H. Meng
Learning to Reorient Objects with Stable Placements Afforded by Extrinsic Supports
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Reorienting objects by using supports is a practical yet challenging manipulation task. Owing to the intricate geometry of objects and the constrained feasible motions of the robot, multiple manipulation steps are required for object reorientation. In this work, we propose a pipeline for predicting various object pla...
[ { "created": "Sat, 14 May 2022 05:08:23 GMT", "version": "v1" }, { "created": "Mon, 19 Dec 2022 08:23:12 GMT", "version": "v2" }, { "created": "Mon, 22 May 2023 06:03:11 GMT", "version": "v3" }, { "created": "Tue, 29 Aug 2023 06:16:08 GMT", "version": "v4" } ]
2023-08-30
[ [ "Xu", "Peng", "" ], [ "Cheng", "Hu", "" ], [ "Wang", "Jiankun", "" ], [ "Meng", "Max Q. -H.", "" ] ]
Reorienting objects by using supports is a practical yet challenging manipulation task. Owing to the intricate geometry of objects and the constrained feasible motions of the robot, multiple manipulation steps are required for object reorientation. In this work, we propose a pipeline for predicting various object place...
2210.06138
Hongxiao Zhang
Hongxiao Zhang, Siyu Lai, Songming Zhang, Hui Huang, Yufeng Chen, Jinan Xu, Jian Liu
Improved Data Augmentation for Translation Suggestion
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Translation suggestion (TS) models are used to automatically provide alternative suggestions for incorrect spans in sentences generated by machine translation. This paper introduces the system used in our submission to the WMT'22 Translation Suggestion shared task. Our system is based on the ensemble of different tra...
[ { "created": "Wed, 12 Oct 2022 12:46:43 GMT", "version": "v1" } ]
2022-10-13
[ [ "Zhang", "Hongxiao", "" ], [ "Lai", "Siyu", "" ], [ "Zhang", "Songming", "" ], [ "Huang", "Hui", "" ], [ "Chen", "Yufeng", "" ], [ "Xu", "Jinan", "" ], [ "Liu", "Jian", "" ] ]
Translation suggestion (TS) models are used to automatically provide alternative suggestions for incorrect spans in sentences generated by machine translation. This paper introduces the system used in our submission to the WMT'22 Translation Suggestion shared task. Our system is based on the ensemble of different trans...
1808.09267
Kristopher Fair Mr
Kristopher M. Fair, Cameron Zachreson and Mikhail Prokopenko
Creating a surrogate commuter network from Australian Bureau of Statistics census data
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Between the 2011 and 2016 national censuses, the Australian Bureau of Statistics changed its anonymity policy compliance system for the distribution of census data. The new method has resulted in dramatic inconsistencies when comparing low-resolution data to aggregated high-resolution data. Hence, aggregated totals d...
[ { "created": "Mon, 27 Aug 2018 06:02:49 GMT", "version": "v1" }, { "created": "Wed, 20 Mar 2019 04:09:44 GMT", "version": "v2" } ]
2019-03-21
[ [ "Fair", "Kristopher M.", "" ], [ "Zachreson", "Cameron", "" ], [ "Prokopenko", "Mikhail", "" ] ]
Between the 2011 and 2016 national censuses, the Australian Bureau of Statistics changed its anonymity policy compliance system for the distribution of census data. The new method has resulted in dramatic inconsistencies when comparing low-resolution data to aggregated high-resolution data. Hence, aggregated totals do ...
2308.08640
Andrea Mazzullo
Alessandro Artale, Andrea Mazzullo
Non-Rigid Designators in Epistemic and Temporal Free Description Logics (Extended Version)
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Definite descriptions, such as 'the smallest planet in the Solar System', have been recently recognised as semantically transparent devices for object identification in knowledge representation formalisms. Along with individual names, they have been introduced also in the context of description logic languages, enric...
[ { "created": "Wed, 16 Aug 2023 19:27:47 GMT", "version": "v1" } ]
2023-08-21
[ [ "Artale", "Alessandro", "" ], [ "Mazzullo", "Andrea", "" ] ]
Definite descriptions, such as 'the smallest planet in the Solar System', have been recently recognised as semantically transparent devices for object identification in knowledge representation formalisms. Along with individual names, they have been introduced also in the context of description logic languages, enrichi...
2111.00670
Aobo Yang
Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
Comparative Explanations of Recommendations
11 pages, 4 figures
null
10.1145/3485447.3512031
null
cs.IR cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i.e., comparative explanations about the recommended items. Ideally, after reading the explanations, a user should reach the same ranking of items as th...
[ { "created": "Mon, 1 Nov 2021 02:55:56 GMT", "version": "v1" }, { "created": "Mon, 14 Feb 2022 04:19:06 GMT", "version": "v2" }, { "created": "Mon, 25 Apr 2022 15:42:58 GMT", "version": "v3" } ]
2022-04-26
[ [ "Yang", "Aobo", "" ], [ "Wang", "Nan", "" ], [ "Cai", "Renqin", "" ], [ "Deng", "Hongbo", "" ], [ "Wang", "Hongning", "" ] ]
As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i.e., comparative explanations about the recommended items. Ideally, after reading the explanations, a user should reach the same ranking of items as the ...
2305.09056
Jungang Chen
Jungang Chen, Eduardo Gildin and John E. Killough (Texas A&M University)
Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel surrogate model for modeling subsurface fluid flow with well controls using a physics-informed convolutional recurrent neural network (PICRNN). The model uses a convolutional long-short term memory (ConvLSTM) to capture the spatiotemporal dependencies of the state evolution dynamics in the...
[ { "created": "Mon, 15 May 2023 22:43:18 GMT", "version": "v1" } ]
2023-05-17
[ [ "Chen", "Jungang", "", "Texas A&M\n University" ], [ "Gildin", "Eduardo", "", "Texas A&M\n University" ], [ "Killough", "John E.", "", "Texas A&M\n University" ] ]
This paper presents a novel surrogate model for modeling subsurface fluid flow with well controls using a physics-informed convolutional recurrent neural network (PICRNN). The model uses a convolutional long-short term memory (ConvLSTM) to capture the spatiotemporal dependencies of the state evolution dynamics in the p...
2402.04599
Lei Wang
Lei Wang and Jun Liu and Liang Zheng and Tom Gedeon and Piotr Koniusz
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Accepted by the International Journal of Computer Vision (IJCV). An extension of our ACCV'22 paper [arXiv:arXiv:2210.16820] which was distinguished by the Sang Uk Lee Best Student Paper Award
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video sequences exhibit significant nuisance variations (undesired effects) of speed of actions, temporal locations, and subjects' poses, leading to temporal-viewpoint misalignment when comparing two sets of frames or evaluating the similarity of two sequences. Thus, we propose Joint tEmporal and cAmera viewpoiNt alI...
[ { "created": "Wed, 7 Feb 2024 05:47:31 GMT", "version": "v1" }, { "created": "Mon, 25 Mar 2024 13:30:37 GMT", "version": "v2" } ]
2024-03-26
[ [ "Wang", "Lei", "" ], [ "Liu", "Jun", "" ], [ "Zheng", "Liang", "" ], [ "Gedeon", "Tom", "" ], [ "Koniusz", "Piotr", "" ] ]
Video sequences exhibit significant nuisance variations (undesired effects) of speed of actions, temporal locations, and subjects' poses, leading to temporal-viewpoint misalignment when comparing two sets of frames or evaluating the similarity of two sequences. Thus, we propose Joint tEmporal and cAmera viewpoiNt alIgn...
1210.2282
Miguel Areias
Miguel Areias and Ricardo Rocha
Towards Multi-Threaded Local Tabling Using a Common Table Space
To appear in Theory and Practice of Logic Programming
Theory and Practice of Logic Programming, Volume 12, Special Issue 4-5, 2012, pp 427-443
10.1017/S1471068412000117
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-threading is currently supported by several well-known Prolog systems providing a highly portable solution for applications that can benefit from concurrency. When multi-threading is combined with tabling, we can exploit the power of higher procedural control and declarative semantics. However, despite the avai...
[ { "created": "Mon, 8 Oct 2012 14:00:07 GMT", "version": "v1" }, { "created": "Tue, 9 Oct 2012 22:12:00 GMT", "version": "v2" } ]
2012-10-11
[ [ "Areias", "Miguel", "" ], [ "Rocha", "Ricardo", "" ] ]
Multi-threading is currently supported by several well-known Prolog systems providing a highly portable solution for applications that can benefit from concurrency. When multi-threading is combined with tabling, we can exploit the power of higher procedural control and declarative semantics. However, despite the availa...
1602.01103
Chenhao Tan
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions
12 pages, 10 figures, to appear in Proceedings of WWW 2016, data and more at https://chenhaot.com/pages/changemyview.html (v2 made a minor correction on submission rules in ChangeMyView.)
null
10.1145/2872427.2883081
null
cs.SI cs.CL physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Changing someone's opinion is arguably one of the most important challenges of social interaction. The underlying process proves difficult to study: it is hard to know how someone's opinions are formed and whether and how someone's views shift. Fortunately, ChangeMyView, an active community on Reddit, provides a plat...
[ { "created": "Tue, 2 Feb 2016 21:00:11 GMT", "version": "v1" }, { "created": "Sat, 6 Feb 2016 20:13:55 GMT", "version": "v2" } ]
2016-02-09
[ [ "Tan", "Chenhao", "" ], [ "Niculae", "Vlad", "" ], [ "Danescu-Niculescu-Mizil", "Cristian", "" ], [ "Lee", "Lillian", "" ] ]
Changing someone's opinion is arguably one of the most important challenges of social interaction. The underlying process proves difficult to study: it is hard to know how someone's opinions are formed and whether and how someone's views shift. Fortunately, ChangeMyView, an active community on Reddit, provides a platfo...
2210.14226
Jaehee Jang
Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
Accepted to ICPP 2022. Code: https://github.com/hukla/fedclassavg
null
null
null
cs.LG cs.AI cs.DC
http://creativecommons.org/licenses/by/4.0/
Personalized federated learning is aimed at allowing numerous clients to train personalized models while participating in collaborative training in a communication-efficient manner without exchanging private data. However, many personalized federated learning algorithms assume that clients have the same neural networ...
[ { "created": "Tue, 25 Oct 2022 08:32:08 GMT", "version": "v1" }, { "created": "Thu, 27 Oct 2022 03:19:30 GMT", "version": "v2" } ]
2022-10-28
[ [ "Jang", "Jaehee", "" ], [ "Ha", "Heonseok", "" ], [ "Jung", "Dahuin", "" ], [ "Yoon", "Sungroh", "" ] ]
Personalized federated learning is aimed at allowing numerous clients to train personalized models while participating in collaborative training in a communication-efficient manner without exchanging private data. However, many personalized federated learning algorithms assume that clients have the same neural network ...
2310.04641
Ali Nikkhah
Ali Nikkhah and Scott Jordan
Towards Equitable Peering: A Proposal for a Fair Peering Fee Between ISPs and Content Providers
Accepted for Publication in IEEE Transactions on Network and Service Management
null
10.1109/TNSM.2023.3338974
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Disagreements over peering fees have risen to the level of potential government regulation. ISPs assert that content providers should pay them based on the volume of downstream traffic. Transit providers and content providers assert that consumers have already paid ISPs to transmit the content they request and that p...
[ { "created": "Sat, 7 Oct 2023 01:25:46 GMT", "version": "v1" }, { "created": "Mon, 11 Dec 2023 22:33:31 GMT", "version": "v2" } ]
2023-12-13
[ [ "Nikkhah", "Ali", "" ], [ "Jordan", "Scott", "" ] ]
Disagreements over peering fees have risen to the level of potential government regulation. ISPs assert that content providers should pay them based on the volume of downstream traffic. Transit providers and content providers assert that consumers have already paid ISPs to transmit the content they request and that pee...
2305.10987
Henrique Branquinho
Henrique Branquinho, Nuno Louren\c{c}o, Ernesto Costa
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks
null
null
10.1145/3583133.3596399
null
cs.NE cs.LG
http://creativecommons.org/licenses/by/4.0/
Spiking Neural Networks (SNNs) have attracted recent interest due to their energy efficiency and biological plausibility. However, the performance of SNNs still lags behind traditional Artificial Neural Networks (ANNs), as there is no consensus on the best learning algorithm for SNNs. Best-performing SNNs are based o...
[ { "created": "Thu, 18 May 2023 14:06:37 GMT", "version": "v1" } ]
2023-05-19
[ [ "Branquinho", "Henrique", "" ], [ "Lourenço", "Nuno", "" ], [ "Costa", "Ernesto", "" ] ]
Spiking Neural Networks (SNNs) have attracted recent interest due to their energy efficiency and biological plausibility. However, the performance of SNNs still lags behind traditional Artificial Neural Networks (ANNs), as there is no consensus on the best learning algorithm for SNNs. Best-performing SNNs are based on ...
2111.00262
Phil\'emon Brakel
Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
A shorter version without appendix was submitted to ICRA 2022
null
null
null
cs.RO cs.LG
http://creativecommons.org/licenses/by/4.0/
Dynamic quadruped locomotion over challenging terrains with precise foot placements is a hard problem for both optimal control methods and Reinforcement Learning (RL). Non-linear solvers can produce coordinated constraint satisfying motions, but often take too long to converge for online application. RL methods can l...
[ { "created": "Sat, 30 Oct 2021 14:24:39 GMT", "version": "v1" } ]
2021-11-02
[ [ "Brakel", "Philemon", "" ], [ "Bohez", "Steven", "" ], [ "Hasenclever", "Leonard", "" ], [ "Heess", "Nicolas", "" ], [ "Bousmalis", "Konstantinos", "" ] ]
Dynamic quadruped locomotion over challenging terrains with precise foot placements is a hard problem for both optimal control methods and Reinforcement Learning (RL). Non-linear solvers can produce coordinated constraint satisfying motions, but often take too long to converge for online application. RL methods can lea...
2303.15407
Helmuth Naumer
Helmuth Naumer and Farzad Kamalabadi
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting
33 Pages, 9 Figures, To appear in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6166-6198, 2023
null
null
cs.LG cs.SY eess.SP eess.SY math.ST stat.TH
http://creativecommons.org/licenses/by/4.0/
This work introduces a method to select linear functional measurements of a vector-valued time series optimized for forecasting distant time-horizons. By formulating and solving the problem of sequential linear measurement design as an infinite-horizon problem with the time-averaged trace of the Cram\'{e}r-Rao lower ...
[ { "created": "Mon, 27 Mar 2023 17:25:04 GMT", "version": "v1" } ]
2023-04-18
[ [ "Naumer", "Helmuth", "" ], [ "Kamalabadi", "Farzad", "" ] ]
This work introduces a method to select linear functional measurements of a vector-valued time series optimized for forecasting distant time-horizons. By formulating and solving the problem of sequential linear measurement design as an infinite-horizon problem with the time-averaged trace of the Cram\'{e}r-Rao lower bo...
1503.06465
Joao Carreira
Joao Carreira, Sara Vicente, Lourdes Agapito and Jorge Batista
Lifting Object Detection Datasets into 3D
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While data has certainly taken the center stage in computer vision in recent years, it can still be difficult to obtain in certain scenarios. In particular, acquiring ground truth 3D shapes of objects pictured in 2D images remains a challenging feat and this has hampered progress in recognition-based object reconstru...
[ { "created": "Sun, 22 Mar 2015 19:26:57 GMT", "version": "v1" }, { "created": "Sun, 31 Jul 2016 09:49:19 GMT", "version": "v2" } ]
2016-08-02
[ [ "Carreira", "Joao", "" ], [ "Vicente", "Sara", "" ], [ "Agapito", "Lourdes", "" ], [ "Batista", "Jorge", "" ] ]
While data has certainly taken the center stage in computer vision in recent years, it can still be difficult to obtain in certain scenarios. In particular, acquiring ground truth 3D shapes of objects pictured in 2D images remains a challenging feat and this has hampered progress in recognition-based object reconstruct...
1801.03065
Mehmet Deveci
Mehmet Deveci, Christian Trott, Sivasankaran Rajamanickam
Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures
null
null
null
SAND2018-0186 R
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sparse Matrix-Matrix multiplication is a key kernel that has applications in several domains such as scientific computing and graph analysis. Several algorithms have been studied in the past for this foundational kernel. In this paper, we develop parallel algorithms for sparse matrix-matrix multiplication with a focu...
[ { "created": "Tue, 9 Jan 2018 18:07:40 GMT", "version": "v1" } ]
2018-01-10
[ [ "Deveci", "Mehmet", "" ], [ "Trott", "Christian", "" ], [ "Rajamanickam", "Sivasankaran", "" ] ]
Sparse Matrix-Matrix multiplication is a key kernel that has applications in several domains such as scientific computing and graph analysis. Several algorithms have been studied in the past for this foundational kernel. In this paper, we develop parallel algorithms for sparse matrix-matrix multiplication with a focus ...
2003.00851
Seungjun Lee
Seungjun Lee
Deep Learning on Radar Centric 3D Object Detection
4 pages
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even though many existing 3D object detection algorithms rely mostly on camera and LiDAR, camera and LiDAR are prone to be affected by harsh weather and lighting conditions. On the other hand, radar is resistant to such conditions. However, research has found only recently to apply deep neural networks on radar data....
[ { "created": "Thu, 27 Feb 2020 10:16:46 GMT", "version": "v1" } ]
2020-03-03
[ [ "Lee", "Seungjun", "" ] ]
Even though many existing 3D object detection algorithms rely mostly on camera and LiDAR, camera and LiDAR are prone to be affected by harsh weather and lighting conditions. On the other hand, radar is resistant to such conditions. However, research has found only recently to apply deep neural networks on radar data. I...
2204.12785
Kyungjae Lee
Kyungjae Lee, Wookje Han, Seung-won Hwang, Hwaran Lee, Joonsuk Park, Sang-Woo Lee
Plug-and-Play Adaptation for Continuously-updated QA
Accepted at Findings of ACL 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Language models (LMs) have shown great potential as implicit knowledge bases (KBs). And for their practical use, knowledge in LMs need to be updated periodically. However, existing tasks to assess LMs' efficacy as KBs do not adequately consider multiple large-scale updates. To this end, we first propose a novel task-...
[ { "created": "Wed, 27 Apr 2022 09:11:16 GMT", "version": "v1" } ]
2022-04-28
[ [ "Lee", "Kyungjae", "" ], [ "Han", "Wookje", "" ], [ "Hwang", "Seung-won", "" ], [ "Lee", "Hwaran", "" ], [ "Park", "Joonsuk", "" ], [ "Lee", "Sang-Woo", "" ] ]
Language models (LMs) have shown great potential as implicit knowledge bases (KBs). And for their practical use, knowledge in LMs need to be updated periodically. However, existing tasks to assess LMs' efficacy as KBs do not adequately consider multiple large-scale updates. To this end, we first propose a novel task--C...
1401.2686
Kathryn Heal
J\'er\^ome Gilles and Kathryn Heal
A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present an algorithm to automatically detect meaningful modes in a histogram. The proposed method is based on the behavior of local minima in a scale-space representation. We show that the detection of such meaningful modes is equivalent in a two classes clustering problem on the length of minima sc...
[ { "created": "Mon, 13 Jan 2014 00:19:34 GMT", "version": "v1" } ]
2014-01-14
[ [ "Gilles", "Jérôme", "" ], [ "Heal", "Kathryn", "" ] ]
In this paper, we present an algorithm to automatically detect meaningful modes in a histogram. The proposed method is based on the behavior of local minima in a scale-space representation. We show that the detection of such meaningful modes is equivalent in a two classes clustering problem on the length of minima scal...
0811.0063
Andrej Dujella
Andrej Dujella
A variant of Wiener's attack on RSA
9 pages
Computing 85 (2009), 77-83
10.1007/s00607-009-0037-8
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wiener's attack is a well-known polynomial-time attack on a RSA cryptosystem with small secret decryption exponent d, which works if d<n^{0.25}, where n=pq is the modulus of the cryptosystem. Namely, in that case, d is the denominator of some convergent p_m/q_m of the continued fraction expansion of e/n, and therefor...
[ { "created": "Sat, 1 Nov 2008 07:08:23 GMT", "version": "v1" } ]
2021-08-30
[ [ "Dujella", "Andrej", "" ] ]
Wiener's attack is a well-known polynomial-time attack on a RSA cryptosystem with small secret decryption exponent d, which works if d<n^{0.25}, where n=pq is the modulus of the cryptosystem. Namely, in that case, d is the denominator of some convergent p_m/q_m of the continued fraction expansion of e/n, and therefore ...
1911.06009
Hideaki Hayashi D.Eng.
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita and Toshio Tsuji
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
Published in IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No.12, pp. 3021-3033, 2015
10.1109/TNNLS.2015.2400448
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a probabilistic neural network developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-series patterns. TSDCA involves the compression of high-dimensional time series into a lower-dimensional space using a set of orthogonal t...
[ { "created": "Thu, 14 Nov 2019 09:48:41 GMT", "version": "v1" } ]
2019-11-15
[ [ "Hayashi", "Hideaki", "" ], [ "Shibanoki", "Taro", "" ], [ "Shima", "Keisuke", "" ], [ "Kurita", "Yuichi", "" ], [ "Tsuji", "Toshio", "" ] ]
This paper proposes a probabilistic neural network developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-series patterns. TSDCA involves the compression of high-dimensional time series into a lower-dimensional space using a set of orthogonal tra...
2012.09916
Jordan Samhi
Jordan Samhi, Alexandre Bartel, Tegawend\'e F. Bissyand\'e, Jacques Klein
RAICC: Revealing Atypical Inter-Component Communication in Android Apps
In the proceedings of the 43rd International Conference on Software Engineering 2021 (ICSE 2021)
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inter-Component Communication (ICC) is a key mechanism in Android. It enables developers to compose rich functionalities and explore reuse within and across apps. Unfortunately, as reported by a large body of literature, ICC is rather "complex and largely unconstrained", leaving room to a lack of precision in apps mo...
[ { "created": "Thu, 17 Dec 2020 20:20:20 GMT", "version": "v1" }, { "created": "Fri, 15 Jan 2021 09:41:05 GMT", "version": "v2" } ]
2021-01-18
[ [ "Samhi", "Jordan", "" ], [ "Bartel", "Alexandre", "" ], [ "Bissyandé", "Tegawendé F.", "" ], [ "Klein", "Jacques", "" ] ]
Inter-Component Communication (ICC) is a key mechanism in Android. It enables developers to compose rich functionalities and explore reuse within and across apps. Unfortunately, as reported by a large body of literature, ICC is rather "complex and largely unconstrained", leaving room to a lack of precision in apps mode...
1609.09743
Antoine Deleforge
Antoine Deleforge (PANAMA), Florence Forbes (MISTIS)
Rectified binaural ratio: A complex T-distributed feature for robust sound localization
European Signal Processing Conference, Aug 2016, Budapest, Hungary. Proceedings of the 24th European Signal Processing Conference (EUSIPCO), 2016, 2016
null
null
null
cs.SD stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most existing methods in binaural sound source localization rely on some kind of aggregation of phase-and level-difference cues in the time-frequency plane. While different ag-gregation schemes exist, they are often heuristic and suffer in adverse noise conditions. In this paper, we introduce the rectified binaural r...
[ { "created": "Fri, 30 Sep 2016 14:15:46 GMT", "version": "v1" } ]
2016-10-03
[ [ "Deleforge", "Antoine", "", "PANAMA" ], [ "Forbes", "Florence", "", "MISTIS" ] ]
Most existing methods in binaural sound source localization rely on some kind of aggregation of phase-and level-difference cues in the time-frequency plane. While different ag-gregation schemes exist, they are often heuristic and suffer in adverse noise conditions. In this paper, we introduce the rectified binaural rat...
2303.06532
Qi Zhao
Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi
Automated Design of Metaheuristic Algorithms: A Survey
null
Transactions on Machine Learning Research, 2024, https://openreview.net/forum?id=qhtHsvF5zj
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality evaluation, and certain notions of locality. Manually designing metaheuristic algorithms for solving a target problem is criticized for be...
[ { "created": "Sun, 12 Mar 2023 01:20:49 GMT", "version": "v1" }, { "created": "Mon, 13 Nov 2023 09:39:30 GMT", "version": "v2" }, { "created": "Wed, 21 Feb 2024 08:15:58 GMT", "version": "v3" } ]
2024-02-22
[ [ "Zhao", "Qi", "" ], [ "Duan", "Qiqi", "" ], [ "Yan", "Bai", "" ], [ "Cheng", "Shi", "" ], [ "Shi", "Yuhui", "" ] ]
Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality evaluation, and certain notions of locality. Manually designing metaheuristic algorithms for solving a target problem is criticized for bein...
2408.02520
Pieter Delobelle
Christoph Rauchegger, Sonja Mei Wang, Pieter Delobelle
OneLove beyond the field -- A few-shot pipeline for topic and sentiment analysis during the FIFA World Cup in Qatar
Accepted at KONVENS 2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The FIFA World Cup in Qatar was discussed extensively in the news and on social media. Due to news reports with allegations of human rights violations, there were calls to boycott it. Wearing a OneLove armband was part of a planned protest activity. Controversy around the armband arose when FIFA threatened to sanctio...
[ { "created": "Mon, 5 Aug 2024 14:40:40 GMT", "version": "v1" } ]
2024-08-06
[ [ "Rauchegger", "Christoph", "" ], [ "Wang", "Sonja Mei", "" ], [ "Delobelle", "Pieter", "" ] ]
The FIFA World Cup in Qatar was discussed extensively in the news and on social media. Due to news reports with allegations of human rights violations, there were calls to boycott it. Wearing a OneLove armband was part of a planned protest activity. Controversy around the armband arose when FIFA threatened to sanction ...
1401.7702
Benjamin Miller
Benjamin A. Miller, Michelle S. Beard, Patrick J. Wolfe, and Nadya T. Bliss
A Spectral Framework for Anomalous Subgraph Detection
In submission to the IEEE, 16 pages, 8 figures
IEEE Trans. Signal Process. 63 (2015) 4191-4206
10.1109/TSP.2015.2437841
null
cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A wide variety of application domains are concerned with data consisting of entities and their relationships or connections, formally represented as graphs. Within these diverse application areas, a common problem of interest is the detection of a subset of entities whose connectivity is anomalous with respect to the...
[ { "created": "Wed, 29 Jan 2014 23:39:39 GMT", "version": "v1" }, { "created": "Wed, 22 Oct 2014 04:01:00 GMT", "version": "v2" } ]
2016-09-06
[ [ "Miller", "Benjamin A.", "" ], [ "Beard", "Michelle S.", "" ], [ "Wolfe", "Patrick J.", "" ], [ "Bliss", "Nadya T.", "" ] ]
A wide variety of application domains are concerned with data consisting of entities and their relationships or connections, formally represented as graphs. Within these diverse application areas, a common problem of interest is the detection of a subset of entities whose connectivity is anomalous with respect to the r...
1810.11404
Barbara K\"onig
Paolo Baldan, Barbara K\"onig, Tommaso Padoan, Christina Mika-Michalski
Fixpoint Games on Continuous Lattices
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many analysis and verifications tasks, such as static program analyses and model-checking for temporal logics reduce to the solution of systems of equations over suitable lattices. Inspired by recent work on lattice-theoretic progress measures, we develop a game-theoretical approach to the solution of systems of mono...
[ { "created": "Fri, 26 Oct 2018 16:04:06 GMT", "version": "v1" }, { "created": "Mon, 19 Apr 2021 11:20:25 GMT", "version": "v2" } ]
2021-04-20
[ [ "Baldan", "Paolo", "" ], [ "König", "Barbara", "" ], [ "Padoan", "Tommaso", "" ], [ "Mika-Michalski", "Christina", "" ] ]
Many analysis and verifications tasks, such as static program analyses and model-checking for temporal logics reduce to the solution of systems of equations over suitable lattices. Inspired by recent work on lattice-theoretic progress measures, we develop a game-theoretical approach to the solution of systems of monoto...