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2303.11315
Wenxuan Zhou
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
Context-faithful Prompting for Large Language Models
Accepted at EMNLP 2023 Findings. Code and data are released at https://github.com/wzhouad/context-faithful-llm
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) encode parametric knowledge about world facts and have shown remarkable performance in knowledge-driven NLP tasks. However, their reliance on parametric knowledge may cause them to overlook contextual cues, leading to incorrect predictions in context-sensitive NLP tasks (e.g., knowledge a...
[ { "created": "Mon, 20 Mar 2023 17:54:58 GMT", "version": "v1" }, { "created": "Mon, 23 Oct 2023 03:25:13 GMT", "version": "v2" } ]
2023-10-24
[ [ "Zhou", "Wenxuan", "" ], [ "Zhang", "Sheng", "" ], [ "Poon", "Hoifung", "" ], [ "Chen", "Muhao", "" ] ]
Large language models (LLMs) encode parametric knowledge about world facts and have shown remarkable performance in knowledge-driven NLP tasks. However, their reliance on parametric knowledge may cause them to overlook contextual cues, leading to incorrect predictions in context-sensitive NLP tasks (e.g., knowledge acq...
1804.03357
Yasushi Tanaka
Yasushi Tanaka, Hajimu Iida, Yasuhiro Takemura
A Manga-Driven System Requirements Development PBL Exercise
SEEM2018
null
10.1145/3194779.3194788
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We conducted a Project-Based Learning (PBL)-type exercise incorporating Japanese cartoon (manga) techniques into Requirements Development (RD) processes. Manga has established techniques, such as those for character setting and story development, that we thought are also valid for RD processes. Using this manga-drive...
[ { "created": "Tue, 10 Apr 2018 06:26:20 GMT", "version": "v1" } ]
2018-04-11
[ [ "Tanaka", "Yasushi", "" ], [ "Iida", "Hajimu", "" ], [ "Takemura", "Yasuhiro", "" ] ]
We conducted a Project-Based Learning (PBL)-type exercise incorporating Japanese cartoon (manga) techniques into Requirements Development (RD) processes. Manga has established techniques, such as those for character setting and story development, that we thought are also valid for RD processes. Using this manga-driven ...
2408.05452
Junjie Jiang
Junjie Jiang, Hao Zhuang, Xinjie Huang, Delei Kong, Zheng Fang
EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event cameras have the potential to revolutionize the field of robot vision, particularly in areas like stereo disparity estimation, owing to their high temporal resolution and high dynamic range. Many studies use deep learning for event camera stereo disparity estimation. However, these methods fail to fully exploit...
[ { "created": "Sat, 10 Aug 2024 06:13:37 GMT", "version": "v1" } ]
2024-08-13
[ [ "Jiang", "Junjie", "" ], [ "Zhuang", "Hao", "" ], [ "Huang", "Xinjie", "" ], [ "Kong", "Delei", "" ], [ "Fang", "Zheng", "" ] ]
Event cameras have the potential to revolutionize the field of robot vision, particularly in areas like stereo disparity estimation, owing to their high temporal resolution and high dynamic range. Many studies use deep learning for event camera stereo disparity estimation. However, these methods fail to fully exploit t...
2404.06357
Hyewon Jang
Hyewon Jang, Diego Frassinelli
Generalizable Sarcasm Detection Is Just Around The Corner, Of Course!
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We tested the robustness of sarcasm detection models by examining their behavior when fine-tuned on four sarcasm datasets containing varying characteristics of sarcasm: label source (authors vs. third-party), domain (social media/online vs. offline conversations/dialogues), style (aggressive vs. humorous mocking). We...
[ { "created": "Tue, 9 Apr 2024 14:48:32 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2024 07:48:08 GMT", "version": "v2" } ]
2024-04-11
[ [ "Jang", "Hyewon", "" ], [ "Frassinelli", "Diego", "" ] ]
We tested the robustness of sarcasm detection models by examining their behavior when fine-tuned on four sarcasm datasets containing varying characteristics of sarcasm: label source (authors vs. third-party), domain (social media/online vs. offline conversations/dialogues), style (aggressive vs. humorous mocking). We t...
2402.05012
Amir K. Khandani Dr.
Amir K. Khandani
Information Theoretically Secure Encryption Key Generation over Wireless Networks by Exploiting Packet Errors
null
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article presents a novel method for establishing an information theoretically secure encryption key over wireless channels. It exploits the fact that data transmission over wireless links is accompanied by packet error, while noise terms, and thereby the error events observed by two separate receivers are indepe...
[ { "created": "Wed, 7 Feb 2024 16:32:13 GMT", "version": "v1" } ]
2024-02-08
[ [ "Khandani", "Amir K.", "" ] ]
This article presents a novel method for establishing an information theoretically secure encryption key over wireless channels. It exploits the fact that data transmission over wireless links is accompanied by packet error, while noise terms, and thereby the error events observed by two separate receivers are independ...
2312.10019
Kwanghee Choi
Kwanghee Choi, Jee-weon Jung, Shinji Watanabe
Understanding Probe Behaviors through Variational Bounds of Mutual Information
Accepted to ICASSP 2024, implementation available at https://github.com/juice500ml/information_probing
null
null
null
cs.IT cs.LG eess.AS math.IT
http://creativecommons.org/licenses/by/4.0/
With the success of self-supervised representations, researchers seek a better understanding of the information encapsulated within a representation. Among various interpretability methods, we focus on classification-based linear probing. We aim to foster a solid understanding and provide guidelines for linear probin...
[ { "created": "Fri, 15 Dec 2023 18:38:18 GMT", "version": "v1" } ]
2023-12-18
[ [ "Choi", "Kwanghee", "" ], [ "Jung", "Jee-weon", "" ], [ "Watanabe", "Shinji", "" ] ]
With the success of self-supervised representations, researchers seek a better understanding of the information encapsulated within a representation. Among various interpretability methods, we focus on classification-based linear probing. We aim to foster a solid understanding and provide guidelines for linear probing ...
0801.0455
Jorg Liebeherr
Jorg Liebeherr, Markus Fidler, Shahrokh Valaee
A System Theoretic Approach to Bandwidth Estimation
23 pages
null
null
null
cs.NI cs.PF
null
It is shown that bandwidth estimation in packet networks can be viewed in terms of min-plus linear system theory. The available bandwidth of a link or complete path is expressed in terms of a {\em service curve}, which is a function that appears in the network calculus to express the service available to a traffic fl...
[ { "created": "Thu, 3 Jan 2008 00:11:26 GMT", "version": "v1" } ]
2008-01-04
[ [ "Liebeherr", "Jorg", "" ], [ "Fidler", "Markus", "" ], [ "Valaee", "Shahrokh", "" ] ]
It is shown that bandwidth estimation in packet networks can be viewed in terms of min-plus linear system theory. The available bandwidth of a link or complete path is expressed in terms of a {\em service curve}, which is a function that appears in the network calculus to express the service available to a traffic flow...
2011.05431
Nikolaos Stylianou
Nikolaos Stylianou, Ioannis Vlahavas
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks
10 pages, 4 figures, 5 tables, accepted at CRAC2020
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
In the last decade, the field of Neural Language Modelling has witnessed enormous changes, with the development of novel models through the use of Transformer architectures. However, even these models struggle to model long sequences due to memory constraints and increasing computational complexity. Coreference annot...
[ { "created": "Tue, 10 Nov 2020 22:28:00 GMT", "version": "v1" } ]
2020-11-12
[ [ "Stylianou", "Nikolaos", "" ], [ "Vlahavas", "Ioannis", "" ] ]
In the last decade, the field of Neural Language Modelling has witnessed enormous changes, with the development of novel models through the use of Transformer architectures. However, even these models struggle to model long sequences due to memory constraints and increasing computational complexity. Coreference annotat...
1409.5223
Ben Ruijl
Ben Ruijl, Aske Plaat, Jos Vermaseren, Jaap van den Herik
Why Local Search Excels in Expression Simplification
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simplifying expressions is important to make numerical integration of large expressions from High Energy Physics tractable. To this end, Horner's method can be used. Finding suitable Horner schemes is assumed to be hard, due to the lack of local heuristics. Recently, MCTS was reported to be able to find near optimal ...
[ { "created": "Thu, 18 Sep 2014 08:21:25 GMT", "version": "v1" } ]
2014-09-19
[ [ "Ruijl", "Ben", "" ], [ "Plaat", "Aske", "" ], [ "Vermaseren", "Jos", "" ], [ "Herik", "Jaap van den", "" ] ]
Simplifying expressions is important to make numerical integration of large expressions from High Energy Physics tractable. To this end, Horner's method can be used. Finding suitable Horner schemes is assumed to be hard, due to the lack of local heuristics. Recently, MCTS was reported to be able to find near optimal sc...
2105.01772
Stephen Gilbert
Charles Peasley, Rachel Dianiska, Emily Oldham, Nicholas Wilson, Stephen Gilbert, Peggy Wu, Brett Israelsen, James Oliver
Evaluating Metrics for Standardized Benchmarking of Remote Presence Systems
null
null
null
null
cs.HC cs.CY
http://creativecommons.org/licenses/by-sa/4.0/
To reduce the need for business-related air travel and its associated energy consumption and carbon footprint, the U.S. Department of Energy's ARPA-E is supporting a research project called SCOTTIE - Systematic Communication Objectives and Telecommunications Technology Investigations and Evaluations. SCOTTIE tests vi...
[ { "created": "Tue, 4 May 2021 21:36:53 GMT", "version": "v1" } ]
2021-05-06
[ [ "Peasley", "Charles", "" ], [ "Dianiska", "Rachel", "" ], [ "Oldham", "Emily", "" ], [ "Wilson", "Nicholas", "" ], [ "Gilbert", "Stephen", "" ], [ "Wu", "Peggy", "" ], [ "Israelsen", "Brett", "" ], [ ...
To reduce the need for business-related air travel and its associated energy consumption and carbon footprint, the U.S. Department of Energy's ARPA-E is supporting a research project called SCOTTIE - Systematic Communication Objectives and Telecommunications Technology Investigations and Evaluations. SCOTTIE tests virt...
2303.04598
Agi Kurucz
Agi Kurucz, Frank Wolter, Michael Zakharyaschev
Deciding the Existence of Interpolants and Definitions in First-Order Modal Logic
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
None of the first-order modal logics between $\mathsf{K}$ and $\mathsf{S5}$ under the constant domain semantics enjoys Craig interpolation or projective Beth definability, even in the language restricted to a single individual variable. It follows that the existence of a Craig interpolant for a given implication or o...
[ { "created": "Wed, 8 Mar 2023 14:10:59 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 12:03:35 GMT", "version": "v2" } ]
2024-06-06
[ [ "Kurucz", "Agi", "" ], [ "Wolter", "Frank", "" ], [ "Zakharyaschev", "Michael", "" ] ]
None of the first-order modal logics between $\mathsf{K}$ and $\mathsf{S5}$ under the constant domain semantics enjoys Craig interpolation or projective Beth definability, even in the language restricted to a single individual variable. It follows that the existence of a Craig interpolant for a given implication or of ...
2407.17316
Niklas B\"oing
N. B\"oing, J. Holke, C. Hergl, L. Spataro, G. Gassner, A. Basermann
Lossy Data Compression By Adaptive Mesh Coarsening
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there is the necessity to reduce scientific data of high performance computing applications. Error-bounded lossy compression has been proven to b...
[ { "created": "Wed, 24 Jul 2024 14:39:24 GMT", "version": "v1" } ]
2024-07-25
[ [ "Böing", "N.", "" ], [ "Holke", "J.", "" ], [ "Hergl", "C.", "" ], [ "Spataro", "L.", "" ], [ "Gassner", "G.", "" ], [ "Basermann", "A.", "" ] ]
Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there is the necessity to reduce scientific data of high performance computing applications. Error-bounded lossy compression has been proven to be ...
2308.10457
Xinpeng Ling
Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
null
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning (FL) is a distributed machine learning technique that allows model training among multiple devices or organizations by sharing training parameters instead of raw data. However, adversaries can still infer individual information through inference attacks (e.g. differential attacks) on these training...
[ { "created": "Mon, 21 Aug 2023 04:09:59 GMT", "version": "v1" }, { "created": "Thu, 21 Sep 2023 14:59:28 GMT", "version": "v2" }, { "created": "Fri, 22 Sep 2023 07:59:03 GMT", "version": "v3" }, { "created": "Sun, 25 Feb 2024 06:56:16 GMT", "version": "v4" }, { "c...
2024-05-27
[ [ "Ling", "Xinpeng", "" ], [ "Fu", "Jie", "" ], [ "Wang", "Kuncan", "" ], [ "Liu", "Haitao", "" ], [ "Chen", "Zhili", "" ] ]
Federated Learning (FL) is a distributed machine learning technique that allows model training among multiple devices or organizations by sharing training parameters instead of raw data. However, adversaries can still infer individual information through inference attacks (e.g. differential attacks) on these training p...
1707.00338
Luciana Foss
Leila Ribeiro, Luciana Foss, Simone Andr\'e da Costa Cavalheiro
Entendendo o Pensamento Computacional
18 pages, in Portuguese
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of this article is to clarify the meaning of Computational Thinking. We differentiate logical from computational reasoning and discuss the importance of Computational Thinking in solving problems. The three pillars of Computational Thinking - Abstraction, Automation and Analysis - are outlined, highlighting ...
[ { "created": "Sun, 2 Jul 2017 19:38:55 GMT", "version": "v1" } ]
2017-07-04
[ [ "Ribeiro", "Leila", "" ], [ "Foss", "Luciana", "" ], [ "Cavalheiro", "Simone André da Costa", "" ] ]
The goal of this article is to clarify the meaning of Computational Thinking. We differentiate logical from computational reasoning and discuss the importance of Computational Thinking in solving problems. The three pillars of Computational Thinking - Abstraction, Automation and Analysis - are outlined, highlighting th...
2101.08032
Wanguang Yin
Wanguang Yin, Zhengming Ma, Quanying Liu
Riemannian Manifold Optimization for Discriminant Subspace Learning
13 pages, 4 figures, 6 tables
null
null
null
cs.LG eess.IV eess.SP
http://creativecommons.org/licenses/by-sa/4.0/
Linear discriminant analysis (LDA) is a widely used algorithm in machine learning to extract a low-dimensional representation of high-dimensional data, it features to find the orthogonal discriminant projection subspace by using the Fisher discriminant criterion. However, the traditional Euclidean-based methods for s...
[ { "created": "Wed, 20 Jan 2021 09:13:34 GMT", "version": "v1" }, { "created": "Tue, 26 Jan 2021 07:17:29 GMT", "version": "v2" }, { "created": "Tue, 20 Jul 2021 02:37:14 GMT", "version": "v3" } ]
2021-07-21
[ [ "Yin", "Wanguang", "" ], [ "Ma", "Zhengming", "" ], [ "Liu", "Quanying", "" ] ]
Linear discriminant analysis (LDA) is a widely used algorithm in machine learning to extract a low-dimensional representation of high-dimensional data, it features to find the orthogonal discriminant projection subspace by using the Fisher discriminant criterion. However, the traditional Euclidean-based methods for sol...
2404.15385
Alaa Elobaid
Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi and Ioannis Kompatsiaris
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
null
null
null
null
cs.CV cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Biometric Verification (BV) systems often exhibit accuracy disparities across different demographic groups, leading to biases in BV applications. Assessing and quantifying these biases is essential for ensuring the fairness of BV systems. However, existing bias evaluation metrics in BV have limitations, such as focus...
[ { "created": "Tue, 23 Apr 2024 10:59:44 GMT", "version": "v1" } ]
2024-04-25
[ [ "Elobaid", "Alaa", "" ], [ "Ramoly", "Nathan", "" ], [ "Younes", "Lara", "" ], [ "Papadopoulos", "Symeon", "" ], [ "Ntoutsi", "Eirini", "" ], [ "Kompatsiaris", "Ioannis", "" ] ]
Biometric Verification (BV) systems often exhibit accuracy disparities across different demographic groups, leading to biases in BV applications. Assessing and quantifying these biases is essential for ensuring the fairness of BV systems. However, existing bias evaluation metrics in BV have limitations, such as focusin...
0912.4087
Wei Ren
Wei Ren, Qing Zhao, Ananthram Swami
On the Connectivity and Multihop Delay of Ad Hoc Cognitive Radio Networks
28 pages, 9 figures
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyze the multihop delay of ad hoc cognitive radio networks, where the transmission delay of each hop consists of the propagation delay and the waiting time for the availability of the communication channel (i.e., the occurrence of a spectrum opportunity at this hop). Using theories and techniques from continuum...
[ { "created": "Mon, 21 Dec 2009 06:47:42 GMT", "version": "v1" } ]
2009-12-22
[ [ "Ren", "Wei", "" ], [ "Zhao", "Qing", "" ], [ "Swami", "Ananthram", "" ] ]
We analyze the multihop delay of ad hoc cognitive radio networks, where the transmission delay of each hop consists of the propagation delay and the waiting time for the availability of the communication channel (i.e., the occurrence of a spectrum opportunity at this hop). Using theories and techniques from continuum p...
2310.12403
Muhammed Fatih Bal{\i}n
Muhammed Fatih Balin, Dominique LaSalle, \"Umit V. \c{C}ataly\"urek
Cooperative Minibatching in Graph Neural Networks
Under submission
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
Significant computational resources are required to train Graph Neural Networks (GNNs) at a large scale, and the process is highly data-intensive. One of the most effective ways to reduce resource requirements is minibatch training coupled with graph sampling. GNNs have the unique property that items in a minibatch h...
[ { "created": "Thu, 19 Oct 2023 01:15:24 GMT", "version": "v1" }, { "created": "Sun, 22 Oct 2023 02:01:01 GMT", "version": "v2" } ]
2023-10-24
[ [ "Balin", "Muhammed Fatih", "" ], [ "LaSalle", "Dominique", "" ], [ "Çatalyürek", "Ümit V.", "" ] ]
Significant computational resources are required to train Graph Neural Networks (GNNs) at a large scale, and the process is highly data-intensive. One of the most effective ways to reduce resource requirements is minibatch training coupled with graph sampling. GNNs have the unique property that items in a minibatch hav...
2101.02847
Yunjin Zhang
Yunjin Zhang, Rui Wang, Yifan (Evan) Peng, Wei Hua, Hujun Bao
Color Contrast Enhanced Rendering for Optical See-through Head-mounted Displays
13 pages, 22 figures, submitted to TVCG
null
null
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
Most commercially available optical see-through head-mounted displays (OST-HMDs) utilize optical combiners to simultaneously visualize the physical background and virtual objects. The displayed images perceived by users are a blend of rendered pixels and background colors. Enabling high fidelity color perception in m...
[ { "created": "Fri, 8 Jan 2021 04:42:39 GMT", "version": "v1" } ]
2021-01-11
[ [ "Zhang", "Yunjin", "", "Evan" ], [ "Wang", "Rui", "", "Evan" ], [ "Yifan", "", "", "Evan" ], [ "Peng", "", "" ], [ "Hua", "Wei", "" ], [ "Bao", "Hujun", "" ] ]
Most commercially available optical see-through head-mounted displays (OST-HMDs) utilize optical combiners to simultaneously visualize the physical background and virtual objects. The displayed images perceived by users are a blend of rendered pixels and background colors. Enabling high fidelity color perception in mix...
2106.00329
Zihao Yan
Zihao Yan, Zimu Yi, Ruizhen Hu, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang
Consistent Two-Flow Network for Tele-Registration of Point Clouds
Accepted to IEEE TVCG 2021, project page at https://vcc.tech/research/2021/CTFNet
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rigid registration of partial observations is a fundamental problem in various applied fields. In computer graphics, special attention has been given to the registration between two partial point clouds generated by scanning devices. State-of-the-art registration techniques still struggle when the overlap region betw...
[ { "created": "Tue, 1 Jun 2021 09:03:21 GMT", "version": "v1" }, { "created": "Tue, 20 Jul 2021 09:41:09 GMT", "version": "v2" }, { "created": "Mon, 11 Oct 2021 02:25:04 GMT", "version": "v3" } ]
2021-10-12
[ [ "Yan", "Zihao", "" ], [ "Yi", "Zimu", "" ], [ "Hu", "Ruizhen", "" ], [ "Mitra", "Niloy J.", "" ], [ "Cohen-Or", "Daniel", "" ], [ "Huang", "Hui", "" ] ]
Rigid registration of partial observations is a fundamental problem in various applied fields. In computer graphics, special attention has been given to the registration between two partial point clouds generated by scanning devices. State-of-the-art registration techniques still struggle when the overlap region betwee...
1804.00101
Alan Roytman
Mikkel Abrahamsen, Anna Adamaszek, Karl Bringmann, Vincent Cohen-Addad, Mehran Mehr, Eva Rotenberg, Alan Roytman, Mikkel Thorup
Fast Fencing
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider very natural "fence enclosure" problems studied by Capoyleas, Rote, and Woeginger and Arkin, Khuller, and Mitchell in the early 90s. Given a set $S$ of $n$ points in the plane, we aim at finding a set of closed curves such that (1) each point is enclosed by a curve and (2) the total length of the curves i...
[ { "created": "Sat, 31 Mar 2018 01:17:15 GMT", "version": "v1" } ]
2018-04-03
[ [ "Abrahamsen", "Mikkel", "" ], [ "Adamaszek", "Anna", "" ], [ "Bringmann", "Karl", "" ], [ "Cohen-Addad", "Vincent", "" ], [ "Mehr", "Mehran", "" ], [ "Rotenberg", "Eva", "" ], [ "Roytman", "Alan", "" ], ...
We consider very natural "fence enclosure" problems studied by Capoyleas, Rote, and Woeginger and Arkin, Khuller, and Mitchell in the early 90s. Given a set $S$ of $n$ points in the plane, we aim at finding a set of closed curves such that (1) each point is enclosed by a curve and (2) the total length of the curves is ...
2402.07639
Nir Weingarten
Nir Weingarten, Zohar Yakhini, Moshe Butman, Ran Gilad-Bachrach
Tighter Bounds on the Information Bottleneck with Application to Deep Learning
10 pages, 5 figures, code included in github repo
null
null
null
cs.LG cs.AI cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Deep Neural Nets (DNNs) learn latent representations induced by their downstream task, objective function, and other parameters. The quality of the learned representations impacts the DNN's generalization ability and the coherence of the emerging latent space. The Information Bottleneck (IB) provides a hypothetically...
[ { "created": "Mon, 12 Feb 2024 13:24:32 GMT", "version": "v1" } ]
2024-02-13
[ [ "Weingarten", "Nir", "" ], [ "Yakhini", "Zohar", "" ], [ "Butman", "Moshe", "" ], [ "Gilad-Bachrach", "Ran", "" ] ]
Deep Neural Nets (DNNs) learn latent representations induced by their downstream task, objective function, and other parameters. The quality of the learned representations impacts the DNN's generalization ability and the coherence of the emerging latent space. The Information Bottleneck (IB) provides a hypothetically o...
2205.03464
Poorna Dasgupta
Poorna Banerjee Dasgupta
Comparative Analysis of Non-Blind Deblurring Methods for Noisy Blurred Images
8 pages, Published with International Journal of Computer Trends and Technology (IJCTT), Volume-70 Issue-3, 2022
null
10.14445/22312803/IJCTT-V70I3P101
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Image blurring refers to the degradation of an image wherein the image's overall sharpness decreases. Image blurring is caused by several factors. Additionally, during the image acquisition process, noise may get added to the image. Such a noisy and blurred image can be represented as the image resulting from the con...
[ { "created": "Fri, 6 May 2022 20:07:29 GMT", "version": "v1" } ]
2022-05-10
[ [ "Dasgupta", "Poorna Banerjee", "" ] ]
Image blurring refers to the degradation of an image wherein the image's overall sharpness decreases. Image blurring is caused by several factors. Additionally, during the image acquisition process, noise may get added to the image. Such a noisy and blurred image can be represented as the image resulting from the convo...
1209.3061
Sliman Arrag
Sliman Arrag, Abdellatif Hamdoun, Abderrahim Tragha and Salah eddine Khamlich
Design and Implementation A different Architectures of mixcolumn in FPGA
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper details Implementation of the Encryption algorithm AES under VHDL language In FPGA by using different architecture of mixcolumn. We then review this research investigates the AES algorithm in FPGA and the Very High Speed Integrated Circuit Hardware Description language (VHDL). Altera Quartus II software is...
[ { "created": "Thu, 13 Sep 2012 23:08:53 GMT", "version": "v1" } ]
2012-09-17
[ [ "Arrag", "Sliman", "" ], [ "Hamdoun", "Abdellatif", "" ], [ "Tragha", "Abderrahim", "" ], [ "Khamlich", "Salah eddine", "" ] ]
This paper details Implementation of the Encryption algorithm AES under VHDL language In FPGA by using different architecture of mixcolumn. We then review this research investigates the AES algorithm in FPGA and the Very High Speed Integrated Circuit Hardware Description language (VHDL). Altera Quartus II software is u...
1706.03311
Kristin Siu
Kristin Siu, Alexander Zook, Mark O. Riedl
A Framework for Exploring and Evaluating Mechanics in Human Computation Games
11 pages, 5 figures
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human computation games (HCGs) are a crowdsourcing approach to solving computationally-intractable tasks using games. In this paper, we describe the need for generalizable HCG design knowledge that accommodates the needs of both players and tasks. We propose a formal representation of the mechanics in HCGs, providing...
[ { "created": "Sun, 11 Jun 2017 06:16:49 GMT", "version": "v1" } ]
2017-06-13
[ [ "Siu", "Kristin", "" ], [ "Zook", "Alexander", "" ], [ "Riedl", "Mark O.", "" ] ]
Human computation games (HCGs) are a crowdsourcing approach to solving computationally-intractable tasks using games. In this paper, we describe the need for generalizable HCG design knowledge that accommodates the needs of both players and tasks. We propose a formal representation of the mechanics in HCGs, providing a...
2006.00064
Scott Schneider
Scott Schneider, Xavier Guerin, Shaohan Hu and Kun-Lung Wu
A Cloud Native Platform for Stateful Streaming
18 pages, 11 figures, submitted to OSDI 2020
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the architecture of a cloud native version of IBM Streams, with Kubernetes as our target platform. Streams is a general purpose streaming system with its own platform for managing applications and the compute clusters that execute those applications. Cloud native Streams replaces that platform with Kuberne...
[ { "created": "Fri, 29 May 2020 20:18:43 GMT", "version": "v1" } ]
2020-06-02
[ [ "Schneider", "Scott", "" ], [ "Guerin", "Xavier", "" ], [ "Hu", "Shaohan", "" ], [ "Wu", "Kun-Lung", "" ] ]
We present the architecture of a cloud native version of IBM Streams, with Kubernetes as our target platform. Streams is a general purpose streaming system with its own platform for managing applications and the compute clusters that execute those applications. Cloud native Streams replaces that platform with Kubernete...
2012.05359
Jaydeep Rade
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
Algorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization
29 pages, 28 figures, 9 tables
Engineering Applications of Artificial Intelligence, 2021, Volume 106,104483
10.1016/j.engappai.2021.104483
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Topology optimization has emerged as a popular approach to refine a component's design and increase its performance. However, current state-of-the-art topology optimization frameworks are compute-intensive, mainly due to multiple finite element analysis iterations required to evaluate the component's performance duri...
[ { "created": "Wed, 9 Dec 2020 23:05:55 GMT", "version": "v1" }, { "created": "Wed, 26 Oct 2022 03:50:31 GMT", "version": "v2" } ]
2022-10-27
[ [ "Rade", "Jaydeep", "" ], [ "Balu", "Aditya", "" ], [ "Herron", "Ethan", "" ], [ "Pathak", "Jay", "" ], [ "Ranade", "Rishikesh", "" ], [ "Sarkar", "Soumik", "" ], [ "Krishnamurthy", "Adarsh", "" ] ]
Topology optimization has emerged as a popular approach to refine a component's design and increase its performance. However, current state-of-the-art topology optimization frameworks are compute-intensive, mainly due to multiple finite element analysis iterations required to evaluate the component's performance during...
1509.05589
Lorenzo Saino
Ioannis Psaras, Konstantinos V. Katsaros, Lorenzo Saino and George Pavlou
LIRA: A Location Independent Routing Layer based on Source-Provided Ephemeral Names
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We identify the obstacles hindering the deployment of Information Centric Networking (ICN) and the shift from the current IP architecture. In particular, we argue that scalability of name resolution and the lack of control of content access from content providers are two important barriers that keep ICN away from dep...
[ { "created": "Fri, 18 Sep 2015 11:12:58 GMT", "version": "v1" } ]
2015-09-21
[ [ "Psaras", "Ioannis", "" ], [ "Katsaros", "Konstantinos V.", "" ], [ "Saino", "Lorenzo", "" ], [ "Pavlou", "George", "" ] ]
We identify the obstacles hindering the deployment of Information Centric Networking (ICN) and the shift from the current IP architecture. In particular, we argue that scalability of name resolution and the lack of control of content access from content providers are two important barriers that keep ICN away from deplo...
1808.08665
Mehdi Ganji
Mehdi Ganji and Hamid Jafarkhani
Novel Time Asynchronous NOMA schemes for Downlink Transmissions
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we investigate the effect of time asynchrony in non-orthogonal multiple access (NOMA) schemes for downlink transmissions. First, we analyze the benefit of adding intentional timing offsets to the conventional power domain-NOMA (P-NOMA). This method which is called Asynchronous-Power Domain-NOMA (AP-NOMA...
[ { "created": "Mon, 27 Aug 2018 02:12:03 GMT", "version": "v1" } ]
2018-08-28
[ [ "Ganji", "Mehdi", "" ], [ "Jafarkhani", "Hamid", "" ] ]
In this work, we investigate the effect of time asynchrony in non-orthogonal multiple access (NOMA) schemes for downlink transmissions. First, we analyze the benefit of adding intentional timing offsets to the conventional power domain-NOMA (P-NOMA). This method which is called Asynchronous-Power Domain-NOMA (AP-NOMA) ...
1911.05921
Van-Dang Tran
Van-Dang Tran, Hiroyuki Kato, Zhenjiang Hu
Programmable View Update Strategies on Relations
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
View update is an important mechanism that allows updates on a view by translating them into the corresponding updates on the base relations. The existing literature has shown the ambiguity of translating view updates. To address this ambiguity, we propose a robust language-based approach for making view update strat...
[ { "created": "Thu, 14 Nov 2019 03:40:32 GMT", "version": "v1" }, { "created": "Wed, 22 Jan 2020 04:08:05 GMT", "version": "v2" }, { "created": "Mon, 31 Aug 2020 16:07:10 GMT", "version": "v3" } ]
2020-09-01
[ [ "Tran", "Van-Dang", "" ], [ "Kato", "Hiroyuki", "" ], [ "Hu", "Zhenjiang", "" ] ]
View update is an important mechanism that allows updates on a view by translating them into the corresponding updates on the base relations. The existing literature has shown the ambiguity of translating view updates. To address this ambiguity, we propose a robust language-based approach for making view update strateg...
2206.12795
Lloyd Allison
Lloyd Allison
Applications of Recursively Defined Data Structures
The paper originally appeared in the Australian Computer Journal (ISSN 0004-8917). The journal was published by the Australian Computer Society from 1967 to 1999
Australian Computer Journal, 25(1):14-20,February 1993
null
null
cs.DS cs.PL
http://creativecommons.org/licenses/by-nc-sa/4.0/
A circular program contains a data structure whose definition is self-referential or recursive. The use of such a definition allows efficient functional programs to be written and can avoid repeated evaluations and the creation of intermediate data structures that would have to be garbage collected. This paper uses c...
[ { "created": "Sun, 26 Jun 2022 06:02:06 GMT", "version": "v1" } ]
2022-06-28
[ [ "Allison", "Lloyd", "" ] ]
A circular program contains a data structure whose definition is self-referential or recursive. The use of such a definition allows efficient functional programs to be written and can avoid repeated evaluations and the creation of intermediate data structures that would have to be garbage collected. This paper uses cir...
2309.07974
Jack Lanchantin
Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam
A Data Source for Reasoning Embodied Agents
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent progress in using machine learning models for reasoning tasks has been driven by novel model architectures, large-scale pre-training protocols, and dedicated reasoning datasets for fine-tuning. In this work, to further pursue these advances, we introduce a new data generator for machine reasoning that integrat...
[ { "created": "Thu, 14 Sep 2023 18:17:16 GMT", "version": "v1" } ]
2023-09-18
[ [ "Lanchantin", "Jack", "" ], [ "Sukhbaatar", "Sainbayar", "" ], [ "Synnaeve", "Gabriel", "" ], [ "Sun", "Yuxuan", "" ], [ "Srinet", "Kavya", "" ], [ "Szlam", "Arthur", "" ] ]
Recent progress in using machine learning models for reasoning tasks has been driven by novel model architectures, large-scale pre-training protocols, and dedicated reasoning datasets for fine-tuning. In this work, to further pursue these advances, we introduce a new data generator for machine reasoning that integrates...
2308.13074
Srivathsan Gnanasekaran Morkonda
Srivathsan G. Morkonda, Sonia Chiasson, Paul C. van Oorschot
Influences of Displaying Permission-related Information on Web Single Sign-On Login Decisions
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Web users are increasingly presented with multiple login options, including password-based login and common web single sign-on (SSO) login options such as "Login with Google" and "Login with Facebook". There has been little focus in previous studies on how users choose from a list of login options and how to better i...
[ { "created": "Thu, 24 Aug 2023 20:35:09 GMT", "version": "v1" }, { "created": "Thu, 28 Dec 2023 18:30:36 GMT", "version": "v2" } ]
2023-12-29
[ [ "Morkonda", "Srivathsan G.", "" ], [ "Chiasson", "Sonia", "" ], [ "van Oorschot", "Paul C.", "" ] ]
Web users are increasingly presented with multiple login options, including password-based login and common web single sign-on (SSO) login options such as "Login with Google" and "Login with Facebook". There has been little focus in previous studies on how users choose from a list of login options and how to better inf...
1304.1128
Robert Fung
Robert Fung, S. L. Crawford, Lee A. Appelbaum, Richard M. Tong
An Architecture for Probabilistic Concept-Based Information Retrieval
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)
null
null
UAI-P-1990-PG-392-404
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While concept-based methods for information retrieval can provide improved performance over more conventional techniques, they require large amounts of effort to acquire the concepts and their qualitative and quantitative relationships. This paper discusses an architecture for probabilistic concept-based information ...
[ { "created": "Wed, 27 Mar 2013 13:58:58 GMT", "version": "v1" } ]
2013-04-05
[ [ "Fung", "Robert", "" ], [ "Crawford", "S. L.", "" ], [ "Appelbaum", "Lee A.", "" ], [ "Tong", "Richard M.", "" ] ]
While concept-based methods for information retrieval can provide improved performance over more conventional techniques, they require large amounts of effort to acquire the concepts and their qualitative and quantitative relationships. This paper discusses an architecture for probabilistic concept-based information re...
2306.12310
Pranauv Aj
Niketha Sabesan, Nivethitha, J.N Shreyah, Pranauv A J, Shyam R
Medical ministrations through web scraping
null
null
null
null
cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
Web scraping is a technique that allows us to extract data from websites automatically. in the field of medicine, web scraping can be used to collect information about medical procedures, treatments, and healthcare providers. this information can be used to improve patient care, monitor the quality of healthcare serv...
[ { "created": "Wed, 21 Jun 2023 14:43:25 GMT", "version": "v1" } ]
2023-06-22
[ [ "Sabesan", "Niketha", "" ], [ "Nivethitha", "", "" ], [ "Shreyah", "J. N", "" ], [ "J", "Pranauv A", "" ], [ "R", "Shyam", "" ] ]
Web scraping is a technique that allows us to extract data from websites automatically. in the field of medicine, web scraping can be used to collect information about medical procedures, treatments, and healthcare providers. this information can be used to improve patient care, monitor the quality of healthcare servic...
2312.12908
Pau Torras
Pau Torras and Sanket Biswas and Alicia Forn\'es
The Common Optical Music Recognition Evaluation Framework
18 pages, 4 figures, 3 tables, submitted (under review) for the International Journal in Document Analysis and Recognition
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The quality of Optical Music Recognition (OMR) systems is a rather difficult magnitude to measure. There is no lingua franca shared among OMR datasets that allows to compare systems' performance on equal grounds, since most of them are specialised on certain approaches. As a result, most state-of-the-art works curren...
[ { "created": "Wed, 20 Dec 2023 10:45:22 GMT", "version": "v1" } ]
2023-12-21
[ [ "Torras", "Pau", "" ], [ "Biswas", "Sanket", "" ], [ "Fornés", "Alicia", "" ] ]
The quality of Optical Music Recognition (OMR) systems is a rather difficult magnitude to measure. There is no lingua franca shared among OMR datasets that allows to compare systems' performance on equal grounds, since most of them are specialised on certain approaches. As a result, most state-of-the-art works currentl...
2004.00865
Timotej Ga\v{s}par
Timotej Ga\v{s}par, Miha Deni\v{s}a and Ale\v{s} Ude
A reconfigurable robot workcell for quick set-up of assembly processes
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High volume production has been a prerequisite in order to invest into automation of the manufacturing process for decades. The high cost of setup and the inflexibility of classical automation meant that low batch productions, often present in Small and Medium-sized Enterprises (SMEs), were dismissed as potential end...
[ { "created": "Thu, 2 Apr 2020 08:26:23 GMT", "version": "v1" } ]
2020-04-03
[ [ "Gašpar", "Timotej", "" ], [ "Deniša", "Miha", "" ], [ "Ude", "Aleš", "" ] ]
High volume production has been a prerequisite in order to invest into automation of the manufacturing process for decades. The high cost of setup and the inflexibility of classical automation meant that low batch productions, often present in Small and Medium-sized Enterprises (SMEs), were dismissed as potential end u...
1309.4616
Lukas Einkemmer
Lukas Einkemmer and Alexander Ostermann
Exponential Integrators on Graphic Processing Units
To appear in: Proceedings of the 2013 International Conference on High Performance Computing Simulation (HPCS 2013), IEEE (2013)
High Performance Computing and Simulation (HPCS), 2013 International Conference on, pp. 490-496
10.1109/HPCSim.2013.6641458
null
cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we revisit stencil methods on GPUs in the context of exponential integrators. We further discuss boundary conditions, in the same context, and show that simple boundary conditions (for example, homogeneous Dirichlet or homogeneous Neumann boundary conditions) do not affect the performance if implemented...
[ { "created": "Wed, 18 Sep 2013 11:21:05 GMT", "version": "v1" } ]
2014-05-27
[ [ "Einkemmer", "Lukas", "" ], [ "Ostermann", "Alexander", "" ] ]
In this paper we revisit stencil methods on GPUs in the context of exponential integrators. We further discuss boundary conditions, in the same context, and show that simple boundary conditions (for example, homogeneous Dirichlet or homogeneous Neumann boundary conditions) do not affect the performance if implemented d...
1910.05291
Serhii Havrylov
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith
The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since first introduced, computer simulation has been an increasingly important tool in evolutionary linguistics. Recently, with the development of deep learning techniques, research in grounded language learning has also started to focus on facilitating the emergence of compositional languages without pre-defined ele...
[ { "created": "Fri, 11 Oct 2019 16:34:01 GMT", "version": "v1" } ]
2019-10-14
[ [ "Guo", "Shangmin", "" ], [ "Ren", "Yi", "" ], [ "Havrylov", "Serhii", "" ], [ "Frank", "Stella", "" ], [ "Titov", "Ivan", "" ], [ "Smith", "Kenny", "" ] ]
Since first introduced, computer simulation has been an increasingly important tool in evolutionary linguistics. Recently, with the development of deep learning techniques, research in grounded language learning has also started to focus on facilitating the emergence of compositional languages without pre-defined eleme...
2205.12443
Kaiyu Yang
Kaiyu Yang and Jia Deng and Danqi Chen
Generating Natural Language Proofs with Verifier-Guided Search
EMNLP 2022. Code and models are available at https://github.com/princeton-nlp/NLProofS. v3 added evaluation of GPT-3 and Codex
null
null
null
cs.CL cs.LG cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reasoning over natural language is a challenging problem in NLP. In this work, we focus on proof generation: Given a hypothesis and a set of supporting facts, the model generates a proof tree indicating how to derive the hypothesis from supporting facts. Compared to generating the entire proof in one shot, stepwise g...
[ { "created": "Wed, 25 May 2022 02:22:30 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2022 17:33:26 GMT", "version": "v2" }, { "created": "Fri, 21 Oct 2022 20:08:11 GMT", "version": "v3" } ]
2022-10-25
[ [ "Yang", "Kaiyu", "" ], [ "Deng", "Jia", "" ], [ "Chen", "Danqi", "" ] ]
Reasoning over natural language is a challenging problem in NLP. In this work, we focus on proof generation: Given a hypothesis and a set of supporting facts, the model generates a proof tree indicating how to derive the hypothesis from supporting facts. Compared to generating the entire proof in one shot, stepwise gen...
0906.4618
Pedro Peris-Lopez
Pedro Peris-Lopez, Julio C. Hernandez-Castro, Christos Dimitrakakis, Aikaterini Mitrokotsa, Juan M. E. Tapiador
Shedding Light on RFID Distance Bounding Protocols and Terrorist Fraud Attacks
31 pages, 10 figures, 1 table
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The vast majority of RFID authentication protocols assume the proximity between readers and tags due to the limited range of the radio channel. However, in real scenarios an intruder can be located between the prover (tag) and the verifier (reader) and trick this last one into thinking that the prover is in close pro...
[ { "created": "Thu, 25 Jun 2009 07:12:26 GMT", "version": "v1" }, { "created": "Sun, 20 Jun 2010 19:35:19 GMT", "version": "v2" } ]
2010-06-22
[ [ "Peris-Lopez", "Pedro", "" ], [ "Hernandez-Castro", "Julio C.", "" ], [ "Dimitrakakis", "Christos", "" ], [ "Mitrokotsa", "Aikaterini", "" ], [ "Tapiador", "Juan M. E.", "" ] ]
The vast majority of RFID authentication protocols assume the proximity between readers and tags due to the limited range of the radio channel. However, in real scenarios an intruder can be located between the prover (tag) and the verifier (reader) and trick this last one into thinking that the prover is in close proxi...
2010.01385
Purnata Ghosal
Purnata Ghosal and B. V. Raghavendra Rao
Limitations of Sums of Bounded-Read Formulas
20 pages, 3 figures
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proving super polynomial size lower bounds for various classes of arithmetic circuits computing explicit polynomials is a very important and challenging task in algebraic complexity theory. We study representation of polynomials as sums of weaker models such as read once formulas (ROFs) and read once oblivious algebr...
[ { "created": "Sat, 3 Oct 2020 16:41:22 GMT", "version": "v1" } ]
2020-10-06
[ [ "Ghosal", "Purnata", "" ], [ "Rao", "B. V. Raghavendra", "" ] ]
Proving super polynomial size lower bounds for various classes of arithmetic circuits computing explicit polynomials is a very important and challenging task in algebraic complexity theory. We study representation of polynomials as sums of weaker models such as read once formulas (ROFs) and read once oblivious algebrai...
1605.03269
Junpei Zhong
Junpei Zhong and Rony Novianto and Mingjun Dai and Xinzheng Zhang and Angelo Cangelosi
A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies
Accepted at The 5th International Conference on Data-Driven Control and Learning Systems. 2016
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inspired by the hierarchical cognitive architecture and the perception-action model (PAM), we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours. These regulation can be depicted in the Bayesian framework, that is why ...
[ { "created": "Wed, 11 May 2016 03:22:13 GMT", "version": "v1" } ]
2016-05-12
[ [ "Zhong", "Junpei", "" ], [ "Novianto", "Rony", "" ], [ "Dai", "Mingjun", "" ], [ "Zhang", "Xinzheng", "" ], [ "Cangelosi", "Angelo", "" ] ]
Inspired by the hierarchical cognitive architecture and the perception-action model (PAM), we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours. These regulation can be depicted in the Bayesian framework, that is why co...
1211.3666
Shuang Li
Shuang Li, Zizhan Zheng, Eylem Ekici and Ness B. Shroff
Maximizing System Throughput Using Cooperative Sensing in Multi-Channel Cognitive Radio Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Cognitive Radio Networks (CRNs), unlicensed users are allowed to access the licensed spectrum when it is not currently being used by primary users (PUs). In this paper, we study the throughput maximization problem for a multi-channel CRN where each SU can only sense a limited number of channels. We show that this ...
[ { "created": "Thu, 15 Nov 2012 17:22:33 GMT", "version": "v1" } ]
2012-11-16
[ [ "Li", "Shuang", "" ], [ "Zheng", "Zizhan", "" ], [ "Ekici", "Eylem", "" ], [ "Shroff", "Ness B.", "" ] ]
In Cognitive Radio Networks (CRNs), unlicensed users are allowed to access the licensed spectrum when it is not currently being used by primary users (PUs). In this paper, we study the throughput maximization problem for a multi-channel CRN where each SU can only sense a limited number of channels. We show that this pr...
2302.05442
Mostafa Dehghani
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Mano...
Scaling Vision Transformers to 22 Billion Parameters
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The scaling of Transformers has driven breakthrough capabilities for language models. At present, the largest large language models (LLMs) contain upwards of 100B parameters. Vision Transformers (ViT) have introduced the same architecture to image and video modelling, but these have not yet been successfully scaled t...
[ { "created": "Fri, 10 Feb 2023 18:58:21 GMT", "version": "v1" } ]
2023-02-13
[ [ "Dehghani", "Mostafa", "" ], [ "Djolonga", "Josip", "" ], [ "Mustafa", "Basil", "" ], [ "Padlewski", "Piotr", "" ], [ "Heek", "Jonathan", "" ], [ "Gilmer", "Justin", "" ], [ "Steiner", "Andreas", "" ], ...
The scaling of Transformers has driven breakthrough capabilities for language models. At present, the largest large language models (LLMs) contain upwards of 100B parameters. Vision Transformers (ViT) have introduced the same architecture to image and video modelling, but these have not yet been successfully scaled to ...
2104.03841
Daniela Massiceti
Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
null
10.25383/city.14294597
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Object recognition has made great advances in the last decade, but predominately still relies on many high-quality training examples per object category. In contrast, learning new objects from only a few examples could enable many impactful applications from robotics to user personalization. Most few-shot learning re...
[ { "created": "Thu, 8 Apr 2021 15:32:01 GMT", "version": "v1" }, { "created": "Fri, 9 Apr 2021 16:56:43 GMT", "version": "v2" }, { "created": "Thu, 10 Jun 2021 14:50:34 GMT", "version": "v3" }, { "created": "Mon, 16 Aug 2021 16:19:12 GMT", "version": "v4" }, { "cre...
2021-10-11
[ [ "Massiceti", "Daniela", "" ], [ "Zintgraf", "Luisa", "" ], [ "Bronskill", "John", "" ], [ "Theodorou", "Lida", "" ], [ "Harris", "Matthew Tobias", "" ], [ "Cutrell", "Edward", "" ], [ "Morrison", "Cecily", ...
Object recognition has made great advances in the last decade, but predominately still relies on many high-quality training examples per object category. In contrast, learning new objects from only a few examples could enable many impactful applications from robotics to user personalization. Most few-shot learning rese...
2111.09625
Diego Garbervetsky
Saikat Dutta, Diego Garbervetsky, Shuvendu Lahiri, Max Sch\"afer
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript
11 pages, sent to Software Engineering in Practice track at ICSE'2022
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Static analysis has established itself as a weapon of choice for detecting security vulnerabilities. Taint analysis in particular is a very general and powerful technique, where security policies are expressed in terms of forbidden flows, either from untrusted input sources to sensitive sinks (in integrity policies) ...
[ { "created": "Thu, 18 Nov 2021 11:10:04 GMT", "version": "v1" } ]
2021-11-19
[ [ "Dutta", "Saikat", "" ], [ "Garbervetsky", "Diego", "" ], [ "Lahiri", "Shuvendu", "" ], [ "Schäfer", "Max", "" ] ]
Static analysis has established itself as a weapon of choice for detecting security vulnerabilities. Taint analysis in particular is a very general and powerful technique, where security policies are expressed in terms of forbidden flows, either from untrusted input sources to sensitive sinks (in integrity policies) or...
2006.13534
Ehsan Asali
Ehsan Asali, Farzin Negahbani, Shahriyar Bamaei, Zahra Abbasi
Namira Soccer 2D Simulation Team Description Paper 2020
null
null
null
null
cs.RO cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we will discuss methods and ideas which are implemented on Namira 2D Soccer Simulation team in the recent year. Numerous scientific and programming activities were done in the process of code development, but we will mention the most outstanding ones in details. A Kalman filtering method for localiza...
[ { "created": "Wed, 24 Jun 2020 07:40:44 GMT", "version": "v1" } ]
2020-06-25
[ [ "Asali", "Ehsan", "" ], [ "Negahbani", "Farzin", "" ], [ "Bamaei", "Shahriyar", "" ], [ "Abbasi", "Zahra", "" ] ]
In this article, we will discuss methods and ideas which are implemented on Namira 2D Soccer Simulation team in the recent year. Numerous scientific and programming activities were done in the process of code development, but we will mention the most outstanding ones in details. A Kalman filtering method for localizati...
cs/0403027
Francesc Rossello
Jaume Casasnovas, Joe Miro, Manuel Moya, Francesc Rossello
An approach to membrane computing under inexactitude
20 pages, 0 figures
null
null
null
cs.OH cs.NE
null
In this paper we introduce a fuzzy version of symport/antiport membrane systems. Our fuzzy membrane systems handle possibly inexact copies of reactives and their rules are endowed with threshold functions that determine whether a rule can be applied or not to a given set of objects, depending of the degree of accurac...
[ { "created": "Tue, 16 Mar 2004 09:02:39 GMT", "version": "v1" }, { "created": "Tue, 11 May 2004 08:27:15 GMT", "version": "v2" } ]
2007-05-23
[ [ "Casasnovas", "Jaume", "" ], [ "Miro", "Joe", "" ], [ "Moya", "Manuel", "" ], [ "Rossello", "Francesc", "" ] ]
In this paper we introduce a fuzzy version of symport/antiport membrane systems. Our fuzzy membrane systems handle possibly inexact copies of reactives and their rules are endowed with threshold functions that determine whether a rule can be applied or not to a given set of objects, depending of the degree of accuracy ...
2401.05509
MohammadNoor Injadat
MohammadNoor Injadat
Optimized Ensemble Model Towards Secured Industrial IoT Devices
Accepted and presented in 24th International Arab Conference on Information Technology (ACIT'2023)
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The continued growth in the deployment of Internet-of-Things (IoT) devices has been fueled by the increased connectivity demand, particularly in industrial environments. However, this has led to an increase in the number of network related attacks due to the increased number of potential attack surfaces. Industrial I...
[ { "created": "Wed, 10 Jan 2024 19:06:39 GMT", "version": "v1" } ]
2024-01-12
[ [ "Injadat", "MohammadNoor", "" ] ]
The continued growth in the deployment of Internet-of-Things (IoT) devices has been fueled by the increased connectivity demand, particularly in industrial environments. However, this has led to an increase in the number of network related attacks due to the increased number of potential attack surfaces. Industrial IoT...
1809.01898
Jo\~ao R. Campos
Jo\~ao R. Campos, Marco Vieira, Ernesto Costa
Propheticus: Generalizable Machine Learning Framework
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to recent technological developments, Machine Learning (ML), a subfield of Artificial Intelligence (AI), has been successfully used to process and extract knowledge from a variety of complex problems. However, a thorough ML approach is complex and highly dependent on the problem at hand. Additionally, implementin...
[ { "created": "Thu, 6 Sep 2018 09:26:03 GMT", "version": "v1" } ]
2018-09-10
[ [ "Campos", "João R.", "" ], [ "Vieira", "Marco", "" ], [ "Costa", "Ernesto", "" ] ]
Due to recent technological developments, Machine Learning (ML), a subfield of Artificial Intelligence (AI), has been successfully used to process and extract knowledge from a variety of complex problems. However, a thorough ML approach is complex and highly dependent on the problem at hand. Additionally, implementing ...
1911.04382
Zhuo Feng
Zhuo Feng
GRASS: Graph Spectral Sparsification Leveraging Scalable Spectral Perturbation Analysis
14 pages, 13 figures. arXiv admin note: substantial text overlap with arXiv:1711.05135
null
null
null
cs.DS cs.NA cs.SI math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spectral graph sparsification aims to find ultra-sparse subgraphs whose Laplacian matrix can well approximate the original Laplacian eigenvalues and eigenvectors. In recent years, spectral sparsification techniques have been extensively studied for accelerating various numerical and graph-related applications. Prior ...
[ { "created": "Mon, 4 Nov 2019 00:47:36 GMT", "version": "v1" }, { "created": "Thu, 21 Nov 2019 12:33:59 GMT", "version": "v2" }, { "created": "Wed, 29 Apr 2020 01:17:42 GMT", "version": "v3" } ]
2020-04-30
[ [ "Feng", "Zhuo", "" ] ]
Spectral graph sparsification aims to find ultra-sparse subgraphs whose Laplacian matrix can well approximate the original Laplacian eigenvalues and eigenvectors. In recent years, spectral sparsification techniques have been extensively studied for accelerating various numerical and graph-related applications. Prior ne...
2301.10638
Johanni Brea
Johanni Brea, Flavio Martinelli, Berfin \c{S}im\c{s}ek, Wulfram Gerstner
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
MLPGradientFlow is a software package to solve numerically the gradient flow differential equation $\dot \theta = -\nabla \mathcal L(\theta; \mathcal D)$, where $\theta$ are the parameters of a multi-layer perceptron, $\mathcal D$ is some data set, and $\nabla \mathcal L$ is the gradient of a loss function. We show n...
[ { "created": "Wed, 25 Jan 2023 15:21:44 GMT", "version": "v1" } ]
2023-01-26
[ [ "Brea", "Johanni", "" ], [ "Martinelli", "Flavio", "" ], [ "Şimşek", "Berfin", "" ], [ "Gerstner", "Wulfram", "" ] ]
MLPGradientFlow is a software package to solve numerically the gradient flow differential equation $\dot \theta = -\nabla \mathcal L(\theta; \mathcal D)$, where $\theta$ are the parameters of a multi-layer perceptron, $\mathcal D$ is some data set, and $\nabla \mathcal L$ is the gradient of a loss function. We show num...
1901.00295
Xingjian Du
Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen
End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking
null
null
null
null
cs.SD cs.AI cs.MM eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, phase processing is attracting increasinginterest in speech enhancement community. Some researchersintegrate phase estimations module into speech enhancementmodels by using complex-valued short-time Fourier transform(STFT) spectrogram based training targets, e.g. Complex RatioMask (cRM) [1]. However, maskin...
[ { "created": "Wed, 2 Jan 2019 08:39:05 GMT", "version": "v1" } ]
2019-01-03
[ [ "Du", "Xingjian", "" ], [ "Zhu", "Mengyao", "" ], [ "Shi", "Xuan", "" ], [ "Zhang", "Xinpeng", "" ], [ "Zhang", "Wen", "" ], [ "Chen", "Jingdong", "" ] ]
Recently, phase processing is attracting increasinginterest in speech enhancement community. Some researchersintegrate phase estimations module into speech enhancementmodels by using complex-valued short-time Fourier transform(STFT) spectrogram based training targets, e.g. Complex RatioMask (cRM) [1]. However, masking ...
2012.01101
Kim Phuc Tran
Zhenglei He, Kim Phuc Tran (GEMTEX), Sebastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning
null
null
null
null
cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-objective optimization of the textile manufacturing process is an increasing challenge because of the growing complexity involved in the development of the textile industry. The use of intelligent techniques has been often discussed in this domain, although a significant improvement from certain successful appl...
[ { "created": "Wed, 2 Dec 2020 11:37:44 GMT", "version": "v1" } ]
2020-12-03
[ [ "He", "Zhenglei", "", "GEMTEX" ], [ "Tran", "Kim Phuc", "", "GEMTEX" ], [ "Thomassey", "Sebastien", "" ], [ "Zeng", "Xianyi", "" ], [ "Xu", "Jie", "" ], [ "Yi", "Changhai", "" ] ]
Multi-objective optimization of the textile manufacturing process is an increasing challenge because of the growing complexity involved in the development of the textile industry. The use of intelligent techniques has been often discussed in this domain, although a significant improvement from certain successful applic...
2303.11546
Sunghwan Kim
Sunghwan Kim, Dae-hwan Kim, Hoseong Kim
Texture Learning Domain Randomization for Domain Generalized Segmentation
ICCV 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Neural Networks (DNNs)-based semantic segmentation models trained on a source domain often struggle to generalize to unseen target domains, i.e., a domain gap problem. Texture often contributes to the domain gap, making DNNs vulnerable to domain shift because they are prone to be texture-biased. Existing Domain ...
[ { "created": "Tue, 21 Mar 2023 02:23:26 GMT", "version": "v1" }, { "created": "Thu, 17 Aug 2023 10:39:37 GMT", "version": "v2" } ]
2023-08-21
[ [ "Kim", "Sunghwan", "" ], [ "Kim", "Dae-hwan", "" ], [ "Kim", "Hoseong", "" ] ]
Deep Neural Networks (DNNs)-based semantic segmentation models trained on a source domain often struggle to generalize to unseen target domains, i.e., a domain gap problem. Texture often contributes to the domain gap, making DNNs vulnerable to domain shift because they are prone to be texture-biased. Existing Domain Ge...
2302.06396
Thibaut Verron
Manuel Kauers, Christoph Koutschan, Thibaut Verron
Transcendence Certificates for D-finite Functions
9 pages, 1 figure
Proceedings of International Symposium on Symbolic and Algebraic Computation 2023
10.1145/3597066.3597091
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although in theory we can decide whether a given D-finite function is transcendental, transcendence proofs remain a challenge in practice. Typically, transcendence is certified by checking certain incomplete sufficient conditions. In this paper we propose an additional such condition which catches some cases on which...
[ { "created": "Mon, 13 Feb 2023 14:36:20 GMT", "version": "v1" }, { "created": "Tue, 19 Sep 2023 12:14:17 GMT", "version": "v2" } ]
2023-09-20
[ [ "Kauers", "Manuel", "" ], [ "Koutschan", "Christoph", "" ], [ "Verron", "Thibaut", "" ] ]
Although in theory we can decide whether a given D-finite function is transcendental, transcendence proofs remain a challenge in practice. Typically, transcendence is certified by checking certain incomplete sufficient conditions. In this paper we propose an additional such condition which catches some cases on which o...
1712.01794
Svetlana Kiritchenko
Svetlana Kiritchenko and Saif M. Mohammad
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), San Diego, California, 2016
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Negators, modals, and degree adverbs can significantly affect the sentiment of the words they modify. Often, their impact is modeled with simple heuristics; although, recent work has shown that such heuristics do not capture the true sentiment of multi-word phrases. We created a dataset of phrases that include variou...
[ { "created": "Tue, 5 Dec 2017 18:17:43 GMT", "version": "v1" } ]
2017-12-06
[ [ "Kiritchenko", "Svetlana", "" ], [ "Mohammad", "Saif M.", "" ] ]
Negators, modals, and degree adverbs can significantly affect the sentiment of the words they modify. Often, their impact is modeled with simple heuristics; although, recent work has shown that such heuristics do not capture the true sentiment of multi-word phrases. We created a dataset of phrases that include various ...
2310.05932
Mian Ibad Ali Shah
Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
Proc. of the Artificial Intelligence for Sustainability, ECAI 2023, Eunika et al. (eds.), Sep 30- Oct 1, 2023, https://sites.google.com/view/ai4s. 2023
null
null
null
cs.MA cs.AI cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To achieve desired carbon emission reductions, integrating renewable generation and accelerating the adoption of peer-to-peer energy trading is crucial. This is especially important for energy-intensive farming, like dairy farming. However, integrating renewables and peer-to-peer trading presents challenges. To addre...
[ { "created": "Mon, 21 Aug 2023 13:22:20 GMT", "version": "v1" } ]
2023-10-11
[ [ "Shah", "Mian Ibad Ali", "" ], [ "Wahid", "Abdul", "" ], [ "Barrett", "Enda", "" ], [ "Mason", "Karl", "" ] ]
To achieve desired carbon emission reductions, integrating renewable generation and accelerating the adoption of peer-to-peer energy trading is crucial. This is especially important for energy-intensive farming, like dairy farming. However, integrating renewables and peer-to-peer trading presents challenges. To address...
1910.00974
Mutaz Melhem
Mutaz Y. Melhem and Laszlo B. Kish
Generalized DC loop current attack against the KLJN secure key exchange scheme
11 pages, 6 Figures, and Journal paper
Metrol. Meas. Syst., Vol. 26 (2019) No. 4, pp. 607-616
10.24425/mms.2019.130571
null
cs.ET cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new attack against the Kirchhoff Law Johnson Noise (KLJN) secure key distribution system is studied with unknown parasitic DC voltage sources at both Alices and Bobs ends. This paper is the generalization of our earlier investigation with a single end parasitic source. Under the assumption that Eve does not know th...
[ { "created": "Mon, 30 Sep 2019 19:34:32 GMT", "version": "v1" } ]
2020-04-07
[ [ "Melhem", "Mutaz Y.", "" ], [ "Kish", "Laszlo B.", "" ] ]
A new attack against the Kirchhoff Law Johnson Noise (KLJN) secure key distribution system is studied with unknown parasitic DC voltage sources at both Alices and Bobs ends. This paper is the generalization of our earlier investigation with a single end parasitic source. Under the assumption that Eve does not know the ...
2305.03130
Kaixin Ma
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
Chain-of-Skills: A Configurable Model for Open-domain Question Answering
ACL 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The retrieval model is an indispensable component for real-world knowledge-intensive tasks, e.g., open-domain question answering (ODQA). As separate retrieval skills are annotated for different datasets, recent work focuses on customized methods, limiting the model transferability and scalability. In this work, we pr...
[ { "created": "Thu, 4 May 2023 20:19:39 GMT", "version": "v1" }, { "created": "Fri, 26 May 2023 17:19:58 GMT", "version": "v2" } ]
2023-05-29
[ [ "Ma", "Kaixin", "" ], [ "Cheng", "Hao", "" ], [ "Zhang", "Yu", "" ], [ "Liu", "Xiaodong", "" ], [ "Nyberg", "Eric", "" ], [ "Gao", "Jianfeng", "" ] ]
The retrieval model is an indispensable component for real-world knowledge-intensive tasks, e.g., open-domain question answering (ODQA). As separate retrieval skills are annotated for different datasets, recent work focuses on customized methods, limiting the model transferability and scalability. In this work, we prop...
1808.01990
Fatih Cakir
Fatih Cakir, Kun He, Stan Sclaroff
Hashing with Binary Matrix Pursuit
23 pages, 4 figures. In Proceedings of European Conference on Computer Vision (ECCV), 2018
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose theoretical and empirical improvements for two-stage hashing methods. We first provide a theoretical analysis on the quality of the binary codes and show that, under mild assumptions, a residual learning scheme can construct binary codes that fit any neighborhood structure with arbitrary accuracy. Secondly...
[ { "created": "Mon, 6 Aug 2018 16:51:36 GMT", "version": "v1" } ]
2018-08-07
[ [ "Cakir", "Fatih", "" ], [ "He", "Kun", "" ], [ "Sclaroff", "Stan", "" ] ]
We propose theoretical and empirical improvements for two-stage hashing methods. We first provide a theoretical analysis on the quality of the binary codes and show that, under mild assumptions, a residual learning scheme can construct binary codes that fit any neighborhood structure with arbitrary accuracy. Secondly, ...
1701.07193
Leon Abdillah
Leon Andretti Abdillah
Exploring Students Blended Learning Through Social Media
10 pages
ComTech (Computer, Mathematics and Engineering Applications), 7(4), 245-254 (2016)
10.21512/comtech.v7i4.2495
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information technology (IT) has been used widely in many aspects of our daily life. After discuss politics related aspects for some articles. In this article author would like to discuss social media for students learning environment. Social media as a leading application on the internet has changed many aspects of l...
[ { "created": "Wed, 25 Jan 2017 07:41:05 GMT", "version": "v1" } ]
2018-04-24
[ [ "Abdillah", "Leon Andretti", "" ] ]
Information technology (IT) has been used widely in many aspects of our daily life. After discuss politics related aspects for some articles. In this article author would like to discuss social media for students learning environment. Social media as a leading application on the internet has changed many aspects of lif...
2007.15879
Sina Sharif Mansouri
Sina Sharif Mansouri, Christoforos Kanellakis, Bjorn Lindqvist, Farhad Pourkamali-Anaraki, Ali-akbar Agha-mohammadi, Joel Burdick and George Nikolakopoulos
A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty
null
IEEE Robotics and Automation Letters, Volume 5, Issue 4, On Page(s) 5740-5747, October 2020
10.1109/LRA.2020.3010485
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article proposes a novel Nonlinear Model Predictive Control (NMPC) framework for Micro Aerial Vehicle (MAV) autonomous navigation in constrained environments. The introduced framework allows us to consider the nonlinear dynamics of MAVs and guarantees real-time performance. Our first contribution is to design a ...
[ { "created": "Fri, 31 Jul 2020 07:26:49 GMT", "version": "v1" } ]
2020-08-03
[ [ "Mansouri", "Sina Sharif", "" ], [ "Kanellakis", "Christoforos", "" ], [ "Lindqvist", "Bjorn", "" ], [ "Pourkamali-Anaraki", "Farhad", "" ], [ "Agha-mohammadi", "Ali-akbar", "" ], [ "Burdick", "Joel", "" ], [ "Niko...
This article proposes a novel Nonlinear Model Predictive Control (NMPC) framework for Micro Aerial Vehicle (MAV) autonomous navigation in constrained environments. The introduced framework allows us to consider the nonlinear dynamics of MAVs and guarantees real-time performance. Our first contribution is to design a co...
2401.17699
Jun Wan
Hao Fang, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei
Unified Physical-Digital Face Attack Detection
12 pages, 8 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face Recognition (FR) systems can suffer from physical (i.e., print photo) and digital (i.e., DeepFake) attacks. However, previous related work rarely considers both situations at the same time. This implies the deployment of multiple models and thus more computational burden. The main reasons for this lack of an int...
[ { "created": "Wed, 31 Jan 2024 09:38:44 GMT", "version": "v1" } ]
2024-02-01
[ [ "Fang", "Hao", "" ], [ "Liu", "Ajian", "" ], [ "Yuan", "Haocheng", "" ], [ "Zheng", "Junze", "" ], [ "Zeng", "Dingheng", "" ], [ "Liu", "Yanhong", "" ], [ "Deng", "Jiankang", "" ], [ "Escalera", ...
Face Recognition (FR) systems can suffer from physical (i.e., print photo) and digital (i.e., DeepFake) attacks. However, previous related work rarely considers both situations at the same time. This implies the deployment of multiple models and thus more computational burden. The main reasons for this lack of an integ...
2107.05138
S. Rasoul Etesami
S. Rasoul Etesami
Open-Loop Equilibrium Strategies for Dynamic Influence Maximization Game Over Social Networks
null
null
null
null
cs.GT cs.MA cs.SY eess.SY math.OC
http://creativecommons.org/publicdomain/zero/1.0/
We consider the problem of budget allocation for competitive influence maximization over social networks. In this problem, multiple competing parties (players) want to distribute their limited advertising resources over a set of social individuals to maximize their long-run cumulative payoffs. It is assumed that the ...
[ { "created": "Sun, 11 Jul 2021 22:31:08 GMT", "version": "v1" }, { "created": "Mon, 30 Aug 2021 04:07:57 GMT", "version": "v2" } ]
2021-08-31
[ [ "Etesami", "S. Rasoul", "" ] ]
We consider the problem of budget allocation for competitive influence maximization over social networks. In this problem, multiple competing parties (players) want to distribute their limited advertising resources over a set of social individuals to maximize their long-run cumulative payoffs. It is assumed that the in...
2102.01173
Tony Zhao
Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland
Multi-modal Ensemble Models for Predicting Video Memorability
null
null
null
null
cs.LG cs.AI cs.MM
http://creativecommons.org/licenses/by/4.0/
Modeling media memorability has been a consistent challenge in the field of machine learning. The Predicting Media Memorability task in MediaEval2020 is the latest benchmark among similar challenges addressing this topic. Building upon techniques developed in previous iterations of the challenge, we developed ensembl...
[ { "created": "Mon, 1 Feb 2021 21:16:52 GMT", "version": "v1" } ]
2021-02-03
[ [ "Zhao", "Tony", "" ], [ "Fang", "Irving", "" ], [ "Kim", "Jeffrey", "" ], [ "Friedland", "Gerald", "" ] ]
Modeling media memorability has been a consistent challenge in the field of machine learning. The Predicting Media Memorability task in MediaEval2020 is the latest benchmark among similar challenges addressing this topic. Building upon techniques developed in previous iterations of the challenge, we developed ensemble ...
1911.10835
Vil\'em Zouhar
Vil\'em Zouhar and Ond\v{r}ej Bojar
Outbound Translation User Interface Ptakopet: A Pilot Study
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is not uncommon for Internet users to have to produce a text in a foreign language they have very little knowledge of and are unable to verify the translation quality. We call the task "outbound translation" and explore it by introducing an open-source modular system Ptakop\v{e}t. Its main purpose is to inspect hu...
[ { "created": "Mon, 25 Nov 2019 11:22:45 GMT", "version": "v1" }, { "created": "Thu, 5 Mar 2020 17:40:27 GMT", "version": "v2" } ]
2020-03-06
[ [ "Zouhar", "Vilém", "" ], [ "Bojar", "Ondřej", "" ] ]
It is not uncommon for Internet users to have to produce a text in a foreign language they have very little knowledge of and are unable to verify the translation quality. We call the task "outbound translation" and explore it by introducing an open-source modular system Ptakop\v{e}t. Its main purpose is to inspect huma...
2005.13820
Huaxi Huang
Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
T-CSVT Accepted
null
10.1109/TCSVT.2021.3065693
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
The challenges of high intra-class variance yet low inter-class fluctuations in fine-grained visual categorization are more severe with few labeled samples, \textit{i.e.,} Fine-Grained categorization problems under the Few-Shot setting (FGFS). High-order features are usually developed to uncover subtle differences be...
[ { "created": "Thu, 28 May 2020 07:48:44 GMT", "version": "v1" }, { "created": "Wed, 10 Mar 2021 05:40:46 GMT", "version": "v2" } ]
2021-04-02
[ [ "Huang", "Huaxi", "" ], [ "Zhang", "Junjie", "" ], [ "Zhang", "Jian", "" ], [ "Wu", "Qiang", "" ], [ "Xu", "Chang", "" ] ]
The challenges of high intra-class variance yet low inter-class fluctuations in fine-grained visual categorization are more severe with few labeled samples, \textit{i.e.,} Fine-Grained categorization problems under the Few-Shot setting (FGFS). High-order features are usually developed to uncover subtle differences betw...
2206.13829
Davide Alessandro Coccomini
Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
null
null
10.1145/3512732.3533582
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society. The continual emergence of new and varied techniques brings with it a further problem to be faced, namely the ability of deepfake detection ...
[ { "created": "Tue, 28 Jun 2022 08:50:22 GMT", "version": "v1" } ]
2022-06-29
[ [ "Coccomini", "Davide Alessandro", "" ], [ "Caldelli", "Roberto", "" ], [ "Falchi", "Fabrizio", "" ], [ "Gennaro", "Claudio", "" ], [ "Amato", "Giuseppe", "" ] ]
Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society. The continual emergence of new and varied techniques brings with it a further problem to be faced, namely the ability of deepfake detection mo...
2312.01256
Chenglu Jin
Niloufar Sayadi, Phuong Ha Nguyen, Marten van Dijk, Chenglu Jin
Breaking XOR Arbiter PUFs without Reliability Information
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unreliable XOR Arbiter PUFs were broken by a machine learning attack, which targets the underlying Arbiter PUFs individually. However, reliability information from the PUF was required for this attack. We show that, for the first time, a perfectly reliable XOR Arbiter PUF, where no reliability information is access...
[ { "created": "Sun, 3 Dec 2023 01:39:09 GMT", "version": "v1" } ]
2023-12-05
[ [ "Sayadi", "Niloufar", "" ], [ "Nguyen", "Phuong Ha", "" ], [ "van Dijk", "Marten", "" ], [ "Jin", "Chenglu", "" ] ]
Unreliable XOR Arbiter PUFs were broken by a machine learning attack, which targets the underlying Arbiter PUFs individually. However, reliability information from the PUF was required for this attack. We show that, for the first time, a perfectly reliable XOR Arbiter PUF, where no reliability information is accessible...
2204.05575
Haibao Yu
Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
CVPR2022
null
null
null
cs.CV cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities. It has been widely agreed that vehicle-infrastructure cooperation is required to achieve Level 5 autonomy. However, there is still NO dataset from real scenarios available for co...
[ { "created": "Tue, 12 Apr 2022 07:13:33 GMT", "version": "v1" } ]
2022-04-13
[ [ "Yu", "Haibao", "" ], [ "Luo", "Yizhen", "" ], [ "Shu", "Mao", "" ], [ "Huo", "Yiyi", "" ], [ "Yang", "Zebang", "" ], [ "Shi", "Yifeng", "" ], [ "Guo", "Zhenglong", "" ], [ "Li", "Hanyu", ""...
Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities. It has been widely agreed that vehicle-infrastructure cooperation is required to achieve Level 5 autonomy. However, there is still NO dataset from real scenarios available for comp...
2105.09932
Zhijian Liu
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus
Efficient and Robust LiDAR-Based End-to-End Navigation
ICRA 2021. The first two authors contributed equally to this work. Project page: https://le2ed.mit.edu/
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning has been used to demonstrate end-to-end neural network learning for autonomous vehicle control from raw sensory input. While LiDAR sensors provide reliably accurate information, existing end-to-end driving solutions are mainly based on cameras since processing 3D data requires a large memory footprint a...
[ { "created": "Thu, 20 May 2021 17:52:37 GMT", "version": "v1" } ]
2021-05-21
[ [ "Liu", "Zhijian", "" ], [ "Amini", "Alexander", "" ], [ "Zhu", "Sibo", "" ], [ "Karaman", "Sertac", "" ], [ "Han", "Song", "" ], [ "Rus", "Daniela", "" ] ]
Deep learning has been used to demonstrate end-to-end neural network learning for autonomous vehicle control from raw sensory input. While LiDAR sensors provide reliably accurate information, existing end-to-end driving solutions are mainly based on cameras since processing 3D data requires a large memory footprint and...
1712.08409
Nils Bore
Nils Bore, Johan Ekekrantz, Patric Jensfelt, John Folkesson
Detection and Tracking of General Movable Objects in Large 3D Maps
Submitted for peer review
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the problem of detection and tracking of general objects with long-term dynamics, observed by a mobile robot moving in a large environment. A key problem is that due to the environment scale, it can only observe a subset of the objects at any given time. Since some time passes between observations ...
[ { "created": "Fri, 22 Dec 2017 11:53:52 GMT", "version": "v1" }, { "created": "Tue, 30 Jan 2018 09:31:47 GMT", "version": "v2" } ]
2018-01-31
[ [ "Bore", "Nils", "" ], [ "Ekekrantz", "Johan", "" ], [ "Jensfelt", "Patric", "" ], [ "Folkesson", "John", "" ] ]
This paper studies the problem of detection and tracking of general objects with long-term dynamics, observed by a mobile robot moving in a large environment. A key problem is that due to the environment scale, it can only observe a subset of the objects at any given time. Since some time passes between observations of...
2305.13168
Ningyu Zhang
Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Work in progress
null
null
null
cs.CL cs.AI cs.DB cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We engage in experiments across eight diverse datasets, focusing on four representative tasks encompassing entity and relation extraction, event extraction, li...
[ { "created": "Mon, 22 May 2023 15:56:44 GMT", "version": "v1" }, { "created": "Thu, 22 Feb 2024 10:15:25 GMT", "version": "v2" } ]
2024-02-23
[ [ "Zhu", "Yuqi", "" ], [ "Wang", "Xiaohan", "" ], [ "Chen", "Jing", "" ], [ "Qiao", "Shuofei", "" ], [ "Ou", "Yixin", "" ], [ "Yao", "Yunzhi", "" ], [ "Deng", "Shumin", "" ], [ "Chen", "Huajun", ...
This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning. We engage in experiments across eight diverse datasets, focusing on four representative tasks encompassing entity and relation extraction, event extraction, link...
1705.04678
Nikhil Galagali
Nikhil Galagali and Youssef M. Marzouk
Exploiting network topology for large-scale inference of nonlinear reaction models
null
null
null
null
cs.CE q-bio.QM stat.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development of chemical reaction models aids understanding and prediction in areas ranging from biology to electrochemistry and combustion. A systematic approach to building reaction network models uses observational data not only to estimate unknown parameters, but also to learn model structure. Bayesian inferen...
[ { "created": "Fri, 12 May 2017 17:55:44 GMT", "version": "v1" }, { "created": "Thu, 19 Jul 2018 18:35:07 GMT", "version": "v2" }, { "created": "Sun, 14 Oct 2018 16:11:46 GMT", "version": "v3" }, { "created": "Tue, 16 Oct 2018 01:26:55 GMT", "version": "v4" }, { "c...
2019-01-23
[ [ "Galagali", "Nikhil", "" ], [ "Marzouk", "Youssef M.", "" ] ]
The development of chemical reaction models aids understanding and prediction in areas ranging from biology to electrochemistry and combustion. A systematic approach to building reaction network models uses observational data not only to estimate unknown parameters, but also to learn model structure. Bayesian inference...
1806.09171
Vitaly Petrov
Vitaly Petrov, Sergey Andreev, Mario Gerla, Yevgeni Koucheryavy
Breaking the Limits in Urban Video Monitoring: Massive Crowd Sourced Surveillance over Vehicles
8 pages, 5 figures, accepted to IEEE Wireless Communications, 2019
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contemporary urban environments are in prompt need of means for intelligent decision-making, where a crucial role belongs to smart video surveillance systems. While existing deployments of stationary monitoring cameras already deliver notable societal benefits, the proposed concept of massive video surveillance over ...
[ { "created": "Sun, 24 Jun 2018 16:28:22 GMT", "version": "v1" } ]
2018-06-26
[ [ "Petrov", "Vitaly", "" ], [ "Andreev", "Sergey", "" ], [ "Gerla", "Mario", "" ], [ "Koucheryavy", "Yevgeni", "" ] ]
Contemporary urban environments are in prompt need of means for intelligent decision-making, where a crucial role belongs to smart video surveillance systems. While existing deployments of stationary monitoring cameras already deliver notable societal benefits, the proposed concept of massive video surveillance over co...
2105.14478
Yian Li
Yian Li, Hai Zhao
Pre-training Universal Language Representation
Accepted by ACL-IJCNLP 2021 main conference
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the well-developed cut-edge representation learning for language, most language representation models usually focus on specific levels of linguistic units. This work introduces universal language representation learning, i.e., embeddings of different levels of linguistic units or text with quite diverse lengt...
[ { "created": "Sun, 30 May 2021 09:29:01 GMT", "version": "v1" } ]
2021-06-01
[ [ "Li", "Yian", "" ], [ "Zhao", "Hai", "" ] ]
Despite the well-developed cut-edge representation learning for language, most language representation models usually focus on specific levels of linguistic units. This work introduces universal language representation learning, i.e., embeddings of different levels of linguistic units or text with quite diverse lengths...
2305.06900
Huzaifa Mustafa Unjhawala
Huzaifa Mustafa Unjhawala, Ruochun Zhang, Wei Hu, Jinlong Wu, Radu Serban, Dan Negrut
Using a Bayesian-Inference Approach to Calibrating Models for Simulation in Robotics
19 pages, 42 figures
061004-18 / Vol. 18, JUNE 2023
10.1115/1.4062199
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In robotics, simulation has the potential to reduce design time and costs, and lead to a more robust engineered solution and a safer development process. However, the use of simulators is predicated on the availability of good models. This contribution is concerned with improving the quality of these models via calib...
[ { "created": "Thu, 11 May 2023 15:41:59 GMT", "version": "v1" } ]
2023-05-12
[ [ "Unjhawala", "Huzaifa Mustafa", "" ], [ "Zhang", "Ruochun", "" ], [ "Hu", "Wei", "" ], [ "Wu", "Jinlong", "" ], [ "Serban", "Radu", "" ], [ "Negrut", "Dan", "" ] ]
In robotics, simulation has the potential to reduce design time and costs, and lead to a more robust engineered solution and a safer development process. However, the use of simulators is predicated on the availability of good models. This contribution is concerned with improving the quality of these models via calibra...
2111.04382
Raghavendra Sridharamurthy
Raghavendra Sridharamurthy and Vijay Natarajan
Comparative Analysis of Merge Trees using Local Tree Edit Distance
null
IEEE Transactions on Visualization and Computer Graphics, 29 (2), 2023, 1518--1530
10.1109/TVCG.2021.3122176
null
cs.GR cs.CG
http://creativecommons.org/licenses/by/4.0/
Comparative analysis of scalar fields is an important problem with various applications including feature-directed visualization and feature tracking in time-varying data. Comparing topological structures that are abstract and succinct representations of the scalar fields lead to faster and meaningful comparison. Whi...
[ { "created": "Mon, 8 Nov 2021 11:02:36 GMT", "version": "v1" } ]
2024-06-06
[ [ "Sridharamurthy", "Raghavendra", "" ], [ "Natarajan", "Vijay", "" ] ]
Comparative analysis of scalar fields is an important problem with various applications including feature-directed visualization and feature tracking in time-varying data. Comparing topological structures that are abstract and succinct representations of the scalar fields lead to faster and meaningful comparison. While...
1704.05617
Chun-Nan Hsu
Sanjeev Shenoy, Tsung-Ting Kuo, Rodney Gabriel, Julian McAuley and Chun-Nan Hsu
Deduplication in a massive clinical note dataset
Extended from the Master project report of Sanjeev Shenoy, Department of Computer Science and Engineering, University of California, San Diego. June 2016
null
null
null
cs.DB cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Duplication, whether exact or partial, is a common issue in many datasets. In clinical notes data, duplication (and near duplication) can arise for many reasons, such as the pervasive use of templates, copy-pasting, or notes being generated by automated procedures. A key challenge in removing such near duplicates is ...
[ { "created": "Wed, 19 Apr 2017 05:33:21 GMT", "version": "v1" } ]
2017-04-20
[ [ "Shenoy", "Sanjeev", "" ], [ "Kuo", "Tsung-Ting", "" ], [ "Gabriel", "Rodney", "" ], [ "McAuley", "Julian", "" ], [ "Hsu", "Chun-Nan", "" ] ]
Duplication, whether exact or partial, is a common issue in many datasets. In clinical notes data, duplication (and near duplication) can arise for many reasons, such as the pervasive use of templates, copy-pasting, or notes being generated by automated procedures. A key challenge in removing such near duplicates is th...
2404.03943
Chen Wang
Chen Wang, Haoxiang Luo, Kun Zhang, Hua Chen, Jia Pan, Wei Zhang
POMDP-Guided Active Force-Based Search for Robotic Insertion
null
null
10.1109/IROS55552.2023.10342421
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In robotic insertion tasks where the uncertainty exceeds the allowable tolerance, a good search strategy is essential for successful insertion and significantly influences efficiency. The commonly used blind search method is time-consuming and does not exploit the rich contact information. In this paper, we propose a...
[ { "created": "Fri, 5 Apr 2024 08:17:03 GMT", "version": "v1" } ]
2024-04-08
[ [ "Wang", "Chen", "" ], [ "Luo", "Haoxiang", "" ], [ "Zhang", "Kun", "" ], [ "Chen", "Hua", "" ], [ "Pan", "Jia", "" ], [ "Zhang", "Wei", "" ] ]
In robotic insertion tasks where the uncertainty exceeds the allowable tolerance, a good search strategy is essential for successful insertion and significantly influences efficiency. The commonly used blind search method is time-consuming and does not exploit the rich contact information. In this paper, we propose a n...
2110.00480
Yifan Song
Kevin K\"oser, Yifan Song, Lasse Petersen, Emanuel Wenzlaff, Felix Woelk
Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The majority of Earth's surface lies deep in the oceans, where no surface light reaches. Robots diving down to great depths must bring light sources that create moving illumination patterns in the darkness, such that the same 3D point appears with different color in each image. On top, scattering and attenuation of l...
[ { "created": "Fri, 1 Oct 2021 15:28:07 GMT", "version": "v1" } ]
2021-10-04
[ [ "Köser", "Kevin", "" ], [ "Song", "Yifan", "" ], [ "Petersen", "Lasse", "" ], [ "Wenzlaff", "Emanuel", "" ], [ "Woelk", "Felix", "" ] ]
The majority of Earth's surface lies deep in the oceans, where no surface light reaches. Robots diving down to great depths must bring light sources that create moving illumination patterns in the darkness, such that the same 3D point appears with different color in each image. On top, scattering and attenuation of lig...
2406.20092
Jie-Neng Chen
Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan Yuille
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression
Code is available at https://github.com/Beckschen/LLaVolta
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While significant advancements have been made in compressed representations for text embeddings in large language models (LLMs), the compression of visual tokens in large multi-modal models (LMMs) has remained a largely overlooked area. In this work, we present the study on the analysis of redundancy concerning visua...
[ { "created": "Fri, 28 Jun 2024 17:57:14 GMT", "version": "v1" } ]
2024-07-01
[ [ "Chen", "Jieneng", "" ], [ "Ye", "Luoxin", "" ], [ "He", "Ju", "" ], [ "Wang", "Zhao-Yang", "" ], [ "Khashabi", "Daniel", "" ], [ "Yuille", "Alan", "" ] ]
While significant advancements have been made in compressed representations for text embeddings in large language models (LLMs), the compression of visual tokens in large multi-modal models (LMMs) has remained a largely overlooked area. In this work, we present the study on the analysis of redundancy concerning visual ...
2101.11939
Wenguan Wang
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Our code will be available at https://github.com/tfzhou/ContrastiveSeg
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current semantic segmentation methods focus only on mining "local" context, i.e., dependencies between pixels within individual images, by context-aggregation modules (e.g., dilated convolution, neural attention) or structure-aware optimization criteria (e.g., IoU-like loss). However, they ignore "global" context of ...
[ { "created": "Thu, 28 Jan 2021 11:35:32 GMT", "version": "v1" }, { "created": "Sat, 30 Jan 2021 23:41:45 GMT", "version": "v2" }, { "created": "Thu, 11 Feb 2021 20:35:21 GMT", "version": "v3" }, { "created": "Tue, 30 Mar 2021 15:16:23 GMT", "version": "v4" } ]
2021-03-31
[ [ "Wang", "Wenguan", "" ], [ "Zhou", "Tianfei", "" ], [ "Yu", "Fisher", "" ], [ "Dai", "Jifeng", "" ], [ "Konukoglu", "Ender", "" ], [ "Van Gool", "Luc", "" ] ]
Current semantic segmentation methods focus only on mining "local" context, i.e., dependencies between pixels within individual images, by context-aggregation modules (e.g., dilated convolution, neural attention) or structure-aware optimization criteria (e.g., IoU-like loss). However, they ignore "global" context of th...
1205.5199
Ashwin Ganesan
Ashwin Ganesan
Automorphism groups of Cayley graphs generated by connected transposition sets
null
Discrete Mathematics, vol. 313, no. 21, pp. 2482-2485, November 2013
10.1016/j.disc.2013.07.013
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $S$ be a set of transpositions that generates the symmetric group $S_n$, where $n \ge 3$. The transposition graph $T(S)$ is defined to be the graph with vertex set $\{1,\ldots,n\}$ and with vertices $i$ and $j$ being adjacent in $T(S)$ whenever $(i,j) \in S$. We prove that if the girth of the transposition graph ...
[ { "created": "Wed, 23 May 2012 15:20:17 GMT", "version": "v1" }, { "created": "Wed, 5 Sep 2012 18:24:08 GMT", "version": "v2" }, { "created": "Sat, 1 Dec 2012 19:55:22 GMT", "version": "v3" }, { "created": "Sun, 23 Jun 2013 12:48:04 GMT", "version": "v4" } ]
2015-12-11
[ [ "Ganesan", "Ashwin", "" ] ]
Let $S$ be a set of transpositions that generates the symmetric group $S_n$, where $n \ge 3$. The transposition graph $T(S)$ is defined to be the graph with vertex set $\{1,\ldots,n\}$ and with vertices $i$ and $j$ being adjacent in $T(S)$ whenever $(i,j) \in S$. We prove that if the girth of the transposition graph $T...
1905.06109
Xiaosen Wang
Kun He and Wu Wang and Xiaosen Wang and John E. Hopcroft
A New Anchor Word Selection Method for the Separable Topic Discovery
18 pages, 4 figures
null
null
null
cs.IR cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Separable Non-negative Matrix Factorization (SNMF) is an important method for topic modeling, where "separable" assumes every topic contains at least one anchor word, defined as a word that has non-zero probability only on that topic. SNMF focuses on the word co-occurrence patterns to reveal topics by two steps: anch...
[ { "created": "Fri, 10 May 2019 12:16:10 GMT", "version": "v1" } ]
2019-05-16
[ [ "He", "Kun", "" ], [ "Wang", "Wu", "" ], [ "Wang", "Xiaosen", "" ], [ "Hopcroft", "John E.", "" ] ]
Separable Non-negative Matrix Factorization (SNMF) is an important method for topic modeling, where "separable" assumes every topic contains at least one anchor word, defined as a word that has non-zero probability only on that topic. SNMF focuses on the word co-occurrence patterns to reveal topics by two steps: anchor...
1201.2531
Gergely Acs
Gergely Acs and Claude Castelluccia
DREAM: DiffeRentially privatE smArt Metering
Shorter version appeared on Information Hiding Conference 2011
null
null
null
cs.CR
http://creativecommons.org/licenses/publicdomain/
This paper presents a new privacy-preserving smart metering system. Our scheme is private under the differential privacy model and therefore provides strong and provable guarantees. With our scheme, an (electricity) supplier can periodically collect data from smart meters and derive aggregated statistics while learni...
[ { "created": "Thu, 12 Jan 2012 11:15:02 GMT", "version": "v1" } ]
2012-01-13
[ [ "Acs", "Gergely", "" ], [ "Castelluccia", "Claude", "" ] ]
This paper presents a new privacy-preserving smart metering system. Our scheme is private under the differential privacy model and therefore provides strong and provable guarantees. With our scheme, an (electricity) supplier can periodically collect data from smart meters and derive aggregated statistics while learning...
2012.13196
Daniel O'Connor
Daniel O'Connor, Walter Vinci
RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Efficient sampling of complex data distributions can be achieved using trained invertible flows (IF), where the model distribution is generated by pushing a simple base distribution through multiple non-linear bijective transformations. However, the iterative nature of the transformations in IFs can limit the approxi...
[ { "created": "Thu, 24 Dec 2020 11:05:27 GMT", "version": "v1" }, { "created": "Thu, 28 Jan 2021 16:03:39 GMT", "version": "v2" }, { "created": "Mon, 12 Jul 2021 10:00:47 GMT", "version": "v3" } ]
2021-07-13
[ [ "O'Connor", "Daniel", "" ], [ "Vinci", "Walter", "" ] ]
Efficient sampling of complex data distributions can be achieved using trained invertible flows (IF), where the model distribution is generated by pushing a simple base distribution through multiple non-linear bijective transformations. However, the iterative nature of the transformations in IFs can limit the approxima...
1909.10407
Mandar Gogate
Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Amir Hussain
CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
34 pages, 11 figures, Submitted to Information Fusion
null
null
null
cs.SD cs.CV cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Noisy situations cause huge problems for suffers of hearing loss as hearing aids often make the signal more audible but do not always restore the intelligibility. In noisy settings, humans routinely exploit the audio-visual (AV) nature of the speech to selectively suppress the background noise and to focus on the tar...
[ { "created": "Mon, 23 Sep 2019 14:59:47 GMT", "version": "v1" } ]
2019-09-24
[ [ "Gogate", "Mandar", "" ], [ "Dashtipour", "Kia", "" ], [ "Adeel", "Ahsan", "" ], [ "Hussain", "Amir", "" ] ]
Noisy situations cause huge problems for suffers of hearing loss as hearing aids often make the signal more audible but do not always restore the intelligibility. In noisy settings, humans routinely exploit the audio-visual (AV) nature of the speech to selectively suppress the background noise and to focus on the targe...
1205.7031
Fabian Schuh
Fabian Schuh, Johannes B. Huber
Nonlinear Trellis Description for Convolutionally Encoded Transmission Over ISI-channels with Applications for CPM
6 pages, 13 figures, submitted for IEEE-SCC-13
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/3.0/
In this paper we propose a matched decoding scheme for convolutionally encoded transmission over intersymbol interference (ISI) channels and devise a nonlinear trellis description. As an application we show that for coded continuous phase modulation (CPM) using a non-coherent receiver the number of states of the supe...
[ { "created": "Thu, 31 May 2012 16:19:28 GMT", "version": "v1" }, { "created": "Wed, 1 Aug 2012 10:55:22 GMT", "version": "v2" } ]
2012-08-02
[ [ "Schuh", "Fabian", "" ], [ "Huber", "Johannes B.", "" ] ]
In this paper we propose a matched decoding scheme for convolutionally encoded transmission over intersymbol interference (ISI) channels and devise a nonlinear trellis description. As an application we show that for coded continuous phase modulation (CPM) using a non-coherent receiver the number of states of the super ...
2006.14765
Tingmin Wu
Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cecile Paris, Surya Nepal, Yang Xiang
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
13 pages (main content) + 4 pages (references and appendix)
null
null
null
cs.CR cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computer users are generally faced with difficulties in making correct security decisions. While an increasingly fewer number of people are trying or willing to take formal security training, online sources including news, security blogs, and websites are continuously making security knowledge more accessible. Analys...
[ { "created": "Fri, 26 Jun 2020 03:00:04 GMT", "version": "v1" } ]
2020-06-29
[ [ "Wu", "Tingmin", "" ], [ "Ma", "Wanlun", "" ], [ "Wen", "Sheng", "" ], [ "Xia", "Xin", "" ], [ "Paris", "Cecile", "" ], [ "Nepal", "Surya", "" ], [ "Xiang", "Yang", "" ] ]
Computer users are generally faced with difficulties in making correct security decisions. While an increasingly fewer number of people are trying or willing to take formal security training, online sources including news, security blogs, and websites are continuously making security knowledge more accessible. Analysis...
2207.08803
Hashmat Shadab Malik
Hashmat Shadab Malik, Shahina K Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
Accepted at BMVC'22 (Oral)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Transferable adversarial attacks optimize adversaries from a pretrained surrogate model and known label space to fool the unknown black-box models. Therefore, these attacks are restricted by the availability of an effective surrogate model. In this work, we relax this assumption and propose Adversarial Pixel Restorat...
[ { "created": "Mon, 18 Jul 2022 17:59:58 GMT", "version": "v1" }, { "created": "Mon, 8 Aug 2022 07:52:11 GMT", "version": "v2" }, { "created": "Fri, 14 Oct 2022 08:27:49 GMT", "version": "v3" } ]
2022-10-17
[ [ "Malik", "Hashmat Shadab", "" ], [ "Kunhimon", "Shahina K", "" ], [ "Naseer", "Muzammal", "" ], [ "Khan", "Salman", "" ], [ "Khan", "Fahad Shahbaz", "" ] ]
Transferable adversarial attacks optimize adversaries from a pretrained surrogate model and known label space to fool the unknown black-box models. Therefore, these attacks are restricted by the availability of an effective surrogate model. In this work, we relax this assumption and propose Adversarial Pixel Restoratio...
2402.13126
Yan Pang
Yan Pang, Yang Zhang, Tianhao Wang
VGMShield: Mitigating Misuse of Video Generative Models
17 pages, 10 figures
null
null
null
cs.CR cs.AI cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid advancement in video generation, people can conveniently utilize video generation models to create videos tailored to their specific desires. Nevertheless, there are also growing concerns about their potential misuse in creating and disseminating false information. In this work, we introduce VGMShiel...
[ { "created": "Tue, 20 Feb 2024 16:39:23 GMT", "version": "v1" } ]
2024-02-21
[ [ "Pang", "Yan", "" ], [ "Zhang", "Yang", "" ], [ "Wang", "Tianhao", "" ] ]
With the rapid advancement in video generation, people can conveniently utilize video generation models to create videos tailored to their specific desires. Nevertheless, there are also growing concerns about their potential misuse in creating and disseminating false information. In this work, we introduce VGMShield: a...
2407.02304
Bas Van Den Heuvel
Bas van den Heuvel, Farzaneh Derakhshan, Stephanie Balzer
Information Flow Control in Cyclic Process Networks
Extended version of ECOOP24 paper
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Protection of confidential data is an important security consideration of today's applications. Of particular concern is to guard against unintentional leakage to a (malicious) observer, who may interact with the program and draw inference from made observations. Information flow control (IFC) type systems address th...
[ { "created": "Tue, 2 Jul 2024 14:37:17 GMT", "version": "v1" } ]
2024-07-03
[ [ "Heuvel", "Bas van den", "" ], [ "Derakhshan", "Farzaneh", "" ], [ "Balzer", "Stephanie", "" ] ]
Protection of confidential data is an important security consideration of today's applications. Of particular concern is to guard against unintentional leakage to a (malicious) observer, who may interact with the program and draw inference from made observations. Information flow control (IFC) type systems address this...
2105.11628
Guoqing Zhang
Yuhao Chen, Guoqing Zhang, Yujiang Lu, Zhenxing Wang, Yuhui Zheng, Ruili Wang
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
27 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-based person search is a sub-task in the field of image retrieval, which aims to retrieve target person images according to a given textual description. The significant feature gap between two modalities makes this task very challenging. Many existing methods attempt to utilize local alignment to address this pr...
[ { "created": "Tue, 25 May 2021 03:00:21 GMT", "version": "v1" } ]
2021-05-26
[ [ "Chen", "Yuhao", "" ], [ "Zhang", "Guoqing", "" ], [ "Lu", "Yujiang", "" ], [ "Wang", "Zhenxing", "" ], [ "Zheng", "Yuhui", "" ], [ "Wang", "Ruili", "" ] ]
Text-based person search is a sub-task in the field of image retrieval, which aims to retrieve target person images according to a given textual description. The significant feature gap between two modalities makes this task very challenging. Many existing methods attempt to utilize local alignment to address this prob...
1312.0641
Samet Oymak
Samet Oymak, Christos Thrampoulidis, Babak Hassibi
Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information
13 pages
null
null
null
cs.IT math.IT math.OC math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the linear inverse problem where we wish to estimate a structured signal $x$ from its corrupted observations. When the problem is ill-posed, it is natural to make use of a convex function $f(\cdot)$ that exploits the structure of the signal. For example, $\ell_1$ norm can be used for sparse signa...
[ { "created": "Mon, 2 Dec 2013 22:07:05 GMT", "version": "v1" }, { "created": "Thu, 5 Dec 2013 20:58:46 GMT", "version": "v2" } ]
2013-12-06
[ [ "Oymak", "Samet", "" ], [ "Thrampoulidis", "Christos", "" ], [ "Hassibi", "Babak", "" ] ]
This paper considers the linear inverse problem where we wish to estimate a structured signal $x$ from its corrupted observations. When the problem is ill-posed, it is natural to make use of a convex function $f(\cdot)$ that exploits the structure of the signal. For example, $\ell_1$ norm can be used for sparse signals...
2310.10330
Guillermo Encinas-Lago
Guillermo Encinas-Lago, Antonio Albanese, Vincenzo Sciancalepore, Marco Di Renzo, Xavier Costa-P\'erez
Unlocking Metasurface Practicality for B5G Networks: AI-assisted RIS Planning
null
null
null
null
cs.NI cs.AI eess.SP
http://creativecommons.org/licenses/by/4.0/
The advent of reconfigurable intelligent surfaces(RISs) brings along significant improvements for wireless technology on the verge of beyond-fifth-generation networks (B5G).The proven flexibility in influencing the propagation environment opens up the possibility of programmatically altering the wireless channel to t...
[ { "created": "Mon, 16 Oct 2023 12:14:42 GMT", "version": "v1" } ]
2023-10-17
[ [ "Encinas-Lago", "Guillermo", "" ], [ "Albanese", "Antonio", "" ], [ "Sciancalepore", "Vincenzo", "" ], [ "Di Renzo", "Marco", "" ], [ "Costa-Pérez", "Xavier", "" ] ]
The advent of reconfigurable intelligent surfaces(RISs) brings along significant improvements for wireless technology on the verge of beyond-fifth-generation networks (B5G).The proven flexibility in influencing the propagation environment opens up the possibility of programmatically altering the wireless channel to the...
2212.03371
Shiqing Wu
Guan Wang, Weihua Li, Edmund Lai, Jianhua Jiang
KATSum: Knowledge-aware Abstractive Text Summarization
Presented at PKAW 2022 (arXiv:2211.03888) Report-no: PKAW/2022/02
null
null
Report-no: PKAW/2022/02
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Text Summarization is recognised as one of the NLP downstream tasks and it has been extensively investigated in recent years. It can assist people with perceiving the information rapidly from the Internet, including news articles, social posts, videos, etc. Most existing research works attempt to develop summarizatio...
[ { "created": "Tue, 6 Dec 2022 23:43:50 GMT", "version": "v1" } ]
2022-12-08
[ [ "Wang", "Guan", "" ], [ "Li", "Weihua", "" ], [ "Lai", "Edmund", "" ], [ "Jiang", "Jianhua", "" ] ]
Text Summarization is recognised as one of the NLP downstream tasks and it has been extensively investigated in recent years. It can assist people with perceiving the information rapidly from the Internet, including news articles, social posts, videos, etc. Most existing research works attempt to develop summarization ...
2101.04690
Matthias Frey
Matthias Frey, Igor Bjelakovic, Slawomir Stanczak
Over-The-Air Computation in Correlated Channels
Extended version can be found at arXiv:2007.02648
2020 IEEE Information Theory Workshop (ITW), Riva del Garda, Italy, 11-15 April, 2021
10.1109/TSP.2021.3106115
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the problem of Over-The-Air (OTA) computation in wireless networks which has the potential to realize huge efficiency gains for instance in training of distributed ML models. We provide non-asymptotic, theoretical guarantees for OTA computation in fast-fading wireless channels where the fading an...
[ { "created": "Tue, 12 Jan 2021 19:00:02 GMT", "version": "v1" } ]
2021-12-01
[ [ "Frey", "Matthias", "" ], [ "Bjelakovic", "Igor", "" ], [ "Stanczak", "Slawomir", "" ] ]
This paper addresses the problem of Over-The-Air (OTA) computation in wireless networks which has the potential to realize huge efficiency gains for instance in training of distributed ML models. We provide non-asymptotic, theoretical guarantees for OTA computation in fast-fading wireless channels where the fading and ...