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0903.4302
Florentina Pintea
Daniela Ilea, Dan L. Lacrama
ShopList: Programming PDA applications for Windows Mobile using C#
8 pages, exposed on 4th International Conferences "Actualities and Perspectives on Hardware and Software" - APHS2007, Timisoara, Romania
Ann. Univ. Tibiscus Comp. Sci. Series V (2007), 91-98
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is focused on a C# and Sql Server Mobile 2005 application to keep evidence of a shop list. The purpose of the application is to offer to the user an easier way to manage his shopping options.
[ { "created": "Wed, 25 Mar 2009 11:26:50 GMT", "version": "v1" } ]
2009-03-26
[ [ "Ilea", "Daniela", "" ], [ "Lacrama", "Dan L.", "" ] ]
This paper is focused on a C# and Sql Server Mobile 2005 application to keep evidence of a shop list. The purpose of the application is to offer to the user an easier way to manage his shopping options.
2004.13139
Yang Sun
Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, and Duo Liu
A Generic Network Compression Framework for Sequential Recommender Systems
Accepted by SIGIR2020
null
null
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequential recommender systems (SRS) have become the key technology in capturing user's dynamic interests and generating high-quality recommendations. Current state-of-the-art sequential recommender models are typically based on a sandwich-structured deep neural network, where one or more middle (hidden) layers are p...
[ { "created": "Tue, 21 Apr 2020 08:40:55 GMT", "version": "v1" }, { "created": "Wed, 29 Apr 2020 08:10:16 GMT", "version": "v2" }, { "created": "Thu, 30 Apr 2020 03:16:13 GMT", "version": "v3" }, { "created": "Mon, 25 May 2020 14:49:16 GMT", "version": "v4" }, { "c...
2020-05-27
[ [ "Sun", "Yang", "" ], [ "Yuan", "Fajie", "" ], [ "Yang", "Min", "" ], [ "Wei", "Guoao", "" ], [ "Zhao", "Zhou", "" ], [ "Liu", "Duo", "" ] ]
Sequential recommender systems (SRS) have become the key technology in capturing user's dynamic interests and generating high-quality recommendations. Current state-of-the-art sequential recommender models are typically based on a sandwich-structured deep neural network, where one or more middle (hidden) layers are pla...
2006.14331
Alexander Meulemans
Alexander Meulemans, Francesco S. Carzaniga, Johan A.K. Suykens, Jo\~ao Sacramento, Benjamin F. Grewe
A Theoretical Framework for Target Propagation
13 pages and 4 figures in main manuscript; 41 pages and 8 figures in supplementary material
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The success of deep learning, a brain-inspired form of AI, has sparked interest in understanding how the brain could similarly learn across multiple layers of neurons. However, the majority of biologically-plausible learning algorithms have not yet reached the performance of backpropagation (BP), nor are they built o...
[ { "created": "Thu, 25 Jun 2020 12:07:06 GMT", "version": "v1" }, { "created": "Thu, 23 Jul 2020 06:40:12 GMT", "version": "v2" }, { "created": "Fri, 30 Oct 2020 10:06:16 GMT", "version": "v3" }, { "created": "Wed, 16 Dec 2020 16:21:36 GMT", "version": "v4" } ]
2020-12-17
[ [ "Meulemans", "Alexander", "" ], [ "Carzaniga", "Francesco S.", "" ], [ "Suykens", "Johan A. K.", "" ], [ "Sacramento", "João", "" ], [ "Grewe", "Benjamin F.", "" ] ]
The success of deep learning, a brain-inspired form of AI, has sparked interest in understanding how the brain could similarly learn across multiple layers of neurons. However, the majority of biologically-plausible learning algorithms have not yet reached the performance of backpropagation (BP), nor are they built on ...
1209.4867
Apu Kapadia
Ruj Akavipat, Mahdi N. Al-Ameen, Apu Kapadia, Zahid Rahman, Roman Schlegel, Matthew Wright
ReDS: A Framework for Reputation-Enhanced DHTs
null
IEEE TPDS Special Issue on Trust, Security, and Privacy, Feb. 2014, Vol. 5, Issue 2
10.1109/TPDS.2013.231
null
cs.NI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed Hash Tables (DHTs) such as Chord and Kademlia offer an efficient solution for locating resources in peer-to-peer networks. Unfortunately, malicious nodes along a lookup path can easily subvert such queries. Several systems, including Halo (based on Chord) and Kad (based on Kademlia), mitigate such attacks...
[ { "created": "Fri, 21 Sep 2012 17:31:25 GMT", "version": "v1" } ]
2014-01-29
[ [ "Akavipat", "Ruj", "" ], [ "Al-Ameen", "Mahdi N.", "" ], [ "Kapadia", "Apu", "" ], [ "Rahman", "Zahid", "" ], [ "Schlegel", "Roman", "" ], [ "Wright", "Matthew", "" ] ]
Distributed Hash Tables (DHTs) such as Chord and Kademlia offer an efficient solution for locating resources in peer-to-peer networks. Unfortunately, malicious nodes along a lookup path can easily subvert such queries. Several systems, including Halo (based on Chord) and Kad (based on Kademlia), mitigate such attacks b...
2210.12484
Yue Zhang
Yue Zhang and Bo Zhang and Zhenghua Li and Zuyi Bao and Chen Li and Min Zhang
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
Accepted by EMNLP2022 (main conference)
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
This work proposes a syntax-enhanced grammatical error correction (GEC) approach named SynGEC that effectively incorporates dependency syntactic information into the encoder part of GEC models. The key challenge for this idea is that off-the-shelf parsers are unreliable when processing ungrammatical sentences. To con...
[ { "created": "Sat, 22 Oct 2022 15:54:29 GMT", "version": "v1" } ]
2022-10-25
[ [ "Zhang", "Yue", "" ], [ "Zhang", "Bo", "" ], [ "Li", "Zhenghua", "" ], [ "Bao", "Zuyi", "" ], [ "Li", "Chen", "" ], [ "Zhang", "Min", "" ] ]
This work proposes a syntax-enhanced grammatical error correction (GEC) approach named SynGEC that effectively incorporates dependency syntactic information into the encoder part of GEC models. The key challenge for this idea is that off-the-shelf parsers are unreliable when processing ungrammatical sentences. To confr...
2212.09285
J\'an Pich
Jan Pich
Localizability of the approximation method
null
null
null
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We use the approximation method of Razborov to analyze the locality barrier which arose from the investigation of the hardness magnification approach to complexity lower bounds. Adapting a limitation of the approximation method obtained by Razborov, we show that in many cases it is not possible to combine the approxi...
[ { "created": "Mon, 19 Dec 2022 07:42:05 GMT", "version": "v1" } ]
2022-12-20
[ [ "Pich", "Jan", "" ] ]
We use the approximation method of Razborov to analyze the locality barrier which arose from the investigation of the hardness magnification approach to complexity lower bounds. Adapting a limitation of the approximation method obtained by Razborov, we show that in many cases it is not possible to combine the approxima...
2209.01207
Kevin Sebastian Luck
Chang Rajani, Karol Arndt, David Blanco-Mulero, Kevin Sebastian Luck, Ville Kyrki
Co-Imitation: Learning Design and Behaviour by Imitation
14 pages, 11 figures, accepted for AAAI-23
null
null
null
cs.LG cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The co-adaptation of robots has been a long-standing research endeavour with the goal of adapting both body and behaviour of a system for a given task, inspired by the natural evolution of animals. Co-adaptation has the potential to eliminate costly manual hardware engineering as well as improve the performance of sy...
[ { "created": "Fri, 2 Sep 2022 17:57:32 GMT", "version": "v1" }, { "created": "Tue, 7 Feb 2023 03:58:21 GMT", "version": "v2" } ]
2023-02-08
[ [ "Rajani", "Chang", "" ], [ "Arndt", "Karol", "" ], [ "Blanco-Mulero", "David", "" ], [ "Luck", "Kevin Sebastian", "" ], [ "Kyrki", "Ville", "" ] ]
The co-adaptation of robots has been a long-standing research endeavour with the goal of adapting both body and behaviour of a system for a given task, inspired by the natural evolution of animals. Co-adaptation has the potential to eliminate costly manual hardware engineering as well as improve the performance of syst...
2209.01688
Hai Huang
Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang
On the Privacy Risks of Cell-Based NAS Architectures
Accepted by CCS 2022
null
10.1145/3548606.3560619
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Existing studies on neural architecture search (NAS) mainly focus on efficiently and effectively searching for network architectures with better performance. Little progress has been made to systematically understand if the NAS-searched architectures are robust to privacy attacks while abundant work has already shown...
[ { "created": "Sun, 4 Sep 2022 20:24:04 GMT", "version": "v1" } ]
2022-09-07
[ [ "Huang", "Hai", "" ], [ "Zhang", "Zhikun", "" ], [ "Shen", "Yun", "" ], [ "Backes", "Michael", "" ], [ "Li", "Qi", "" ], [ "Zhang", "Yang", "" ] ]
Existing studies on neural architecture search (NAS) mainly focus on efficiently and effectively searching for network architectures with better performance. Little progress has been made to systematically understand if the NAS-searched architectures are robust to privacy attacks while abundant work has already shown t...
2210.04050
Yuxiang Guo
Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whole-body-based human authentication is a promising approach for remote biometrics scenarios. Current literature focuses on either body recognition based on RGB images or gait recognition based on body shapes and walking patterns; both have their advantages and drawbacks. In this work, we propose Dual-Modal Ensemble...
[ { "created": "Sat, 8 Oct 2022 15:17:32 GMT", "version": "v1" } ]
2022-10-11
[ [ "Guo", "Yuxiang", "" ], [ "Peng", "Cheng", "" ], [ "Lau", "Chun Pong", "" ], [ "Chellappa", "Rama", "" ] ]
Whole-body-based human authentication is a promising approach for remote biometrics scenarios. Current literature focuses on either body recognition based on RGB images or gait recognition based on body shapes and walking patterns; both have their advantages and drawbacks. In this work, we propose Dual-Modal Ensemble (...
2212.08021
Francesco Pierri
Francesco Pierri
Political advertisement on Facebook and Instagram in the run up to 2022 Italian general election
10 pages, 12 figures. To be published in the proceedings of the ACM Web Science Conference (2023)
null
10.1145/3578503.3583598
null
cs.CY cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Targeted advertising on online social platforms has become increasingly relevant in the political marketing toolkit. Monitoring political advertising is crucial to ensure accountability and transparency of democratic processes. Leveraging Meta public library of sponsored content, we study the extent to which politica...
[ { "created": "Mon, 12 Dec 2022 13:37:18 GMT", "version": "v1" }, { "created": "Wed, 8 Feb 2023 12:06:31 GMT", "version": "v2" } ]
2023-02-09
[ [ "Pierri", "Francesco", "" ] ]
Targeted advertising on online social platforms has become increasingly relevant in the political marketing toolkit. Monitoring political advertising is crucial to ensure accountability and transparency of democratic processes. Leveraging Meta public library of sponsored content, we study the extent to which political ...
1905.03037
Sanaz Bahargam
Sanaz Bahargam and Theodoros Lappas and Evimaria Terzi
The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm
null
null
null
null
cs.SI cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A long line of literature has focused on the problem of selecting a team of individuals from a large pool of candidates, such that certain constraints are respected, and a given objective function is maximized. Even though extant research has successfully considered diverse families of objective functions and constra...
[ { "created": "Tue, 30 Apr 2019 05:12:32 GMT", "version": "v1" } ]
2019-05-09
[ [ "Bahargam", "Sanaz", "" ], [ "Lappas", "Theodoros", "" ], [ "Terzi", "Evimaria", "" ] ]
A long line of literature has focused on the problem of selecting a team of individuals from a large pool of candidates, such that certain constraints are respected, and a given objective function is maximized. Even though extant research has successfully considered diverse families of objective functions and constrain...
0805.0941
EDA Publishing Association
Andras Vass-Varnai, M. Rencz
Package Hermeticity Testing with Thermal Transient Measurements
Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/handle/2042/16838)
Dans Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - DTIP 2008, Nice : France (2008)
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid incursion of new technologies such as MEMS and smart sensor device manufacturing requires new tailor-made packaging designs. In many applications these devices are exposed to humid environments. Since the penetration of moisture into the package may result in internal corrosion or shift of the operating par...
[ { "created": "Wed, 7 May 2008 09:52:00 GMT", "version": "v1" } ]
2008-12-18
[ [ "Vass-Varnai", "Andras", "" ], [ "Rencz", "M.", "" ] ]
The rapid incursion of new technologies such as MEMS and smart sensor device manufacturing requires new tailor-made packaging designs. In many applications these devices are exposed to humid environments. Since the penetration of moisture into the package may result in internal corrosion or shift of the operating param...
1904.12540
Said Ghoul
Enas Nafar and Said Ghoul
A Genetic Framework Model For Self-Adaptive Software
12 pages
Journal of Software Engineering, 11(2), 2017
10.3923/jse.2017
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Lots of bio-inspired research works have been conducted in self-adaptive software. They have focused on the external behavior of biological entities without their genetic material that causes this behavior and constitutes the challenge this work dealt with. This paper propose a framework integrating both the external...
[ { "created": "Mon, 29 Apr 2019 09:46:42 GMT", "version": "v1" } ]
2019-04-30
[ [ "Nafar", "Enas", "" ], [ "Ghoul", "Said", "" ] ]
Lots of bio-inspired research works have been conducted in self-adaptive software. They have focused on the external behavior of biological entities without their genetic material that causes this behavior and constitutes the challenge this work dealt with. This paper propose a framework integrating both the external b...
2401.01520
Yixuan Wang
Yixuan Wang and Shuangyin Li
S$^{2}$-DMs:Skip-Step Diffusion Models
12 pages
null
null
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Diffusion models have emerged as powerful generative tools, rivaling GANs in sample quality and mirroring the likelihood scores of autoregressive models. A subset of these models, exemplified by DDIMs, exhibit an inherent asymmetry: they are trained over $T$ steps but only sample from a subset of $T$ during generatio...
[ { "created": "Wed, 3 Jan 2024 03:08:32 GMT", "version": "v1" }, { "created": "Tue, 23 Jan 2024 02:59:04 GMT", "version": "v2" } ]
2024-01-24
[ [ "Wang", "Yixuan", "" ], [ "Li", "Shuangyin", "" ] ]
Diffusion models have emerged as powerful generative tools, rivaling GANs in sample quality and mirroring the likelihood scores of autoregressive models. A subset of these models, exemplified by DDIMs, exhibit an inherent asymmetry: they are trained over $T$ steps but only sample from a subset of $T$ during generation....
1905.11739
Deepayan Das
Deepayan Das, Jerin Philip, Minesh Mathew and C. V. Jawahar
A Cost Efficient Approach to Correct OCR Errors in Large Document Collections
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word error rate of an ocr is often higher than its character error rate. This is especially true when ocrs are designed by recognizing characters. High word accuracies are critical to tasks like the creation of content in digital libraries and text-to-speech applications. In order to detect and correct the misrecogni...
[ { "created": "Tue, 28 May 2019 11:11:57 GMT", "version": "v1" } ]
2019-05-29
[ [ "Das", "Deepayan", "" ], [ "Philip", "Jerin", "" ], [ "Mathew", "Minesh", "" ], [ "Jawahar", "C. V.", "" ] ]
Word error rate of an ocr is often higher than its character error rate. This is especially true when ocrs are designed by recognizing characters. High word accuracies are critical to tasks like the creation of content in digital libraries and text-to-speech applications. In order to detect and correct the misrecognise...
2309.13692
Julian Asilis
Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Regularization and Optimal Multiclass Learning
COLT 2024; 43 pages
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
The quintessential learning algorithm of empirical risk minimization (ERM) is known to fail in various settings for which uniform convergence does not characterize learning. It is therefore unsurprising that the practice of machine learning is rife with considerably richer algorithmic techniques for successfully cont...
[ { "created": "Sun, 24 Sep 2023 16:49:55 GMT", "version": "v1" }, { "created": "Tue, 25 Jun 2024 17:42:18 GMT", "version": "v2" } ]
2024-06-26
[ [ "Asilis", "Julian", "" ], [ "Devic", "Siddartha", "" ], [ "Dughmi", "Shaddin", "" ], [ "Sharan", "Vatsal", "" ], [ "Teng", "Shang-Hua", "" ] ]
The quintessential learning algorithm of empirical risk minimization (ERM) is known to fail in various settings for which uniform convergence does not characterize learning. It is therefore unsurprising that the practice of machine learning is rife with considerably richer algorithmic techniques for successfully contro...
2404.04956
Zijin Yang
Zijin Yang, Kai Zeng, Kejiang Chen, Han Fang, Weiming Zhang, Nenghai Yu
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
17 pages, 11 figures, accepted by CVPR 2024
null
null
null
cs.CV cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ethical concerns surrounding copyright protection and inappropriate content generation pose challenges for the practical implementation of diffusion models. One effective solution involves watermarking the generated images. However, existing methods often compromise the model performance or require additional trainin...
[ { "created": "Sun, 7 Apr 2024 13:30:10 GMT", "version": "v1" }, { "created": "Sat, 27 Apr 2024 08:05:29 GMT", "version": "v2" }, { "created": "Mon, 6 May 2024 10:43:48 GMT", "version": "v3" } ]
2024-05-07
[ [ "Yang", "Zijin", "" ], [ "Zeng", "Kai", "" ], [ "Chen", "Kejiang", "" ], [ "Fang", "Han", "" ], [ "Zhang", "Weiming", "" ], [ "Yu", "Nenghai", "" ] ]
Ethical concerns surrounding copyright protection and inappropriate content generation pose challenges for the practical implementation of diffusion models. One effective solution involves watermarking the generated images. However, existing methods often compromise the model performance or require additional training,...
2107.08271
Andrea Celli
Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi
Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we introduce a new class of mechanisms composed of a traditional Generalized Second Price (GSP) auction and a fair division scheme, in order to achieve some desired level of fairness between groups of Bayesian strategic advertisers. We propose two mechanisms, $\beta$-Fair GSP and GSP-EFX, that compose GS...
[ { "created": "Sat, 17 Jul 2021 16:18:31 GMT", "version": "v1" }, { "created": "Tue, 13 Sep 2022 13:51:19 GMT", "version": "v2" }, { "created": "Tue, 18 Oct 2022 14:06:44 GMT", "version": "v3" } ]
2022-10-19
[ [ "Birmpas", "Georgios", "" ], [ "Celli", "Andrea", "" ], [ "Colini-Baldeschi", "Riccardo", "" ], [ "Leonardi", "Stefano", "" ] ]
In this work we introduce a new class of mechanisms composed of a traditional Generalized Second Price (GSP) auction and a fair division scheme, in order to achieve some desired level of fairness between groups of Bayesian strategic advertisers. We propose two mechanisms, $\beta$-Fair GSP and GSP-EFX, that compose GSP ...
cs/0404049
Stergos Afantenos
Stergos D. Afantenos, Irene Doura, Eleni Kapellou, and Vangelis Karkaletsis
Exploiting Cross-Document Relations for Multi-document Evolving Summarization
10 pages
Methods and Applications of Artificial Intelligence, Volume 3025 of Lecture Notes in Computer Science. Springer-Verlag Heidelberg 2004. pp 410-419.
null
null
cs.CL cs.AI
null
This paper presents a methodology for summarization from multiple documents which are about a specific topic. It is based on the specification and identification of the cross-document relations that occur among textual elements within those documents. Our methodology involves the specification of the topic-specific e...
[ { "created": "Fri, 23 Apr 2004 10:44:24 GMT", "version": "v1" } ]
2016-08-31
[ [ "Afantenos", "Stergos D.", "" ], [ "Doura", "Irene", "" ], [ "Kapellou", "Eleni", "" ], [ "Karkaletsis", "Vangelis", "" ] ]
This paper presents a methodology for summarization from multiple documents which are about a specific topic. It is based on the specification and identification of the cross-document relations that occur among textual elements within those documents. Our methodology involves the specification of the topic-specific ent...
1107.0064
EPTCS
Jeroen van den Bos (CWI), Mark Hills (CWI), Paul Klint (CWI), Tijs van der Storm (CWI), Jurgen J. Vinju (CWI)
Rascal: From Algebraic Specification to Meta-Programming
In Proceedings AMMSE 2011, arXiv:1106.5962
EPTCS 56, 2011, pp. 15-32
10.4204/EPTCS.56.2
null
cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algebraic specification has a long tradition in bridging the gap between specification and programming by making specifications executable. Building on extensive experience in designing, implementing and using specification formalisms that are based on algebraic specification and term rewriting (namely Asf and Asf+Sd...
[ { "created": "Thu, 30 Jun 2011 21:44:38 GMT", "version": "v1" } ]
2011-07-04
[ [ "Bos", "Jeroen van den", "", "CWI" ], [ "Hills", "Mark", "", "CWI" ], [ "Klint", "Paul", "", "CWI" ], [ "van der Storm", "Tijs", "", "CWI" ], [ "Vinju", "Jurgen J.", "", "CWI" ] ]
Algebraic specification has a long tradition in bridging the gap between specification and programming by making specifications executable. Building on extensive experience in designing, implementing and using specification formalisms that are based on algebraic specification and term rewriting (namely Asf and Asf+Sdf)...
2309.05883
Shaoyuan Xu Ph.D.
Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang
Hierarchical Conditional Semi-Paired Image-to-Image Translation For Multi-Task Image Defect Correction On Shopping Websites
6 pages, 6 figures, 3 tables. To be published in ICIP 2023
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
On shopping websites, product images of low quality negatively affect customer experience. Although there are plenty of work in detecting images with different defects, few efforts have been dedicated to correct those defects at scale. A major challenge is that there are thousands of product types and each has specif...
[ { "created": "Tue, 12 Sep 2023 00:07:08 GMT", "version": "v1" } ]
2023-09-13
[ [ "Li", "Moyan", "" ], [ "Fu", "Jinmiao", "" ], [ "Xu", "Shaoyuan", "" ], [ "Liu", "Huidong", "" ], [ "Liu", "Jia", "" ], [ "Wang", "Bryan", "" ] ]
On shopping websites, product images of low quality negatively affect customer experience. Although there are plenty of work in detecting images with different defects, few efforts have been dedicated to correct those defects at scale. A major challenge is that there are thousands of product types and each has specific...
2011.00956
Binbin Jin
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
Sampling-Decomposable Generative Adversarial Recommender
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS2020)
null
null
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommendation techniques are important approaches for alleviating information overload. Being often trained on implicit user feedback, many recommenders suffer from the sparsity challenge due to the lack of explicitly negative samples. The GAN-style recommenders (i.e., IRGAN) addresses the challenge by learning a ge...
[ { "created": "Mon, 2 Nov 2020 13:19:10 GMT", "version": "v1" } ]
2020-11-03
[ [ "Jin", "Binbin", "" ], [ "Lian", "Defu", "" ], [ "Liu", "Zheng", "" ], [ "Liu", "Qi", "" ], [ "Ma", "Jianhui", "" ], [ "Xie", "Xing", "" ], [ "Chen", "Enhong", "" ] ]
Recommendation techniques are important approaches for alleviating information overload. Being often trained on implicit user feedback, many recommenders suffer from the sparsity challenge due to the lack of explicitly negative samples. The GAN-style recommenders (i.e., IRGAN) addresses the challenge by learning a gene...
2404.09138
Artur Kiulian
Artur Kiulian, Anton Polishko, Mykola Khandoga, Oryna Chubych, Jack Connor, Raghav Ravishankar, Adarsh Shirawalmath
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In the rapidly advancing field of AI and NLP, generative large language models (LLMs) stand at the forefront of innovation, showcasing unparalleled abilities in text understanding and generation. However, the limited representation of low-resource languages like Ukrainian poses a notable challenge, restricting the re...
[ { "created": "Sun, 14 Apr 2024 04:25:41 GMT", "version": "v1" } ]
2024-04-16
[ [ "Kiulian", "Artur", "" ], [ "Polishko", "Anton", "" ], [ "Khandoga", "Mykola", "" ], [ "Chubych", "Oryna", "" ], [ "Connor", "Jack", "" ], [ "Ravishankar", "Raghav", "" ], [ "Shirawalmath", "Adarsh", "" ]...
In the rapidly advancing field of AI and NLP, generative large language models (LLMs) stand at the forefront of innovation, showcasing unparalleled abilities in text understanding and generation. However, the limited representation of low-resource languages like Ukrainian poses a notable challenge, restricting the reac...
2001.03035
Carsten Janda
Carsten Rudolf Janda, Moritz Wiese, Eduard A. Jorswieck and Holger Boche
Arbitrarily Varying Wiretap Channels with Non-Causal Side Information at the Jammer
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Secure communication in a potentially malicious environment becomes more and more important. The arbitrarily varying wiretap channel (AVWC) provides information theoretical bounds on how much information can be exchanged even in the presence of an active attacker. If the active attacker has non-causal side informatio...
[ { "created": "Thu, 9 Jan 2020 15:01:50 GMT", "version": "v1" }, { "created": "Fri, 10 Jan 2020 15:55:11 GMT", "version": "v2" }, { "created": "Thu, 9 Apr 2020 09:09:28 GMT", "version": "v3" }, { "created": "Thu, 14 Apr 2022 13:17:00 GMT", "version": "v4" } ]
2022-04-15
[ [ "Janda", "Carsten Rudolf", "" ], [ "Wiese", "Moritz", "" ], [ "Jorswieck", "Eduard A.", "" ], [ "Boche", "Holger", "" ] ]
Secure communication in a potentially malicious environment becomes more and more important. The arbitrarily varying wiretap channel (AVWC) provides information theoretical bounds on how much information can be exchanged even in the presence of an active attacker. If the active attacker has non-causal side information,...
2108.12296
Sajad Darabi
Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent literature in self-supervised has demonstrated significant progress in closing the gap between supervised and unsupervised methods in the image and text domains. These methods rely on domain-specific augmentations that are not directly amenable to the tabular domain. Instead, we introduce Contrastive Mixup, a ...
[ { "created": "Fri, 27 Aug 2021 14:09:13 GMT", "version": "v1" }, { "created": "Wed, 1 Sep 2021 02:04:54 GMT", "version": "v2" } ]
2021-09-02
[ [ "Darabi", "Sajad", "" ], [ "Fazeli", "Shayan", "" ], [ "Pazoki", "Ali", "" ], [ "Sankararaman", "Sriram", "" ], [ "Sarrafzadeh", "Majid", "" ] ]
Recent literature in self-supervised has demonstrated significant progress in closing the gap between supervised and unsupervised methods in the image and text domains. These methods rely on domain-specific augmentations that are not directly amenable to the tabular domain. Instead, we introduce Contrastive Mixup, a se...
1201.6218
Wojciech Mazurczyk
Artur Janicki, Wojciech Mazurczyk and Krzysztof Szczypiorski
Influence of Speech Codecs Selection on Transcoding Steganography
17 pages, 5 figures, 4 tables
null
null
null
cs.CR cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The typical approach to steganography is to compress the covert data in order to limit its size, which is reasonable in the context of a limited steganographic bandwidth. TranSteg (Trancoding Steganography) is a new IP telephony steganographic method that was recently proposed that offers high steganographic bandwidt...
[ { "created": "Mon, 30 Jan 2012 14:16:35 GMT", "version": "v1" } ]
2012-01-31
[ [ "Janicki", "Artur", "" ], [ "Mazurczyk", "Wojciech", "" ], [ "Szczypiorski", "Krzysztof", "" ] ]
The typical approach to steganography is to compress the covert data in order to limit its size, which is reasonable in the context of a limited steganographic bandwidth. TranSteg (Trancoding Steganography) is a new IP telephony steganographic method that was recently proposed that offers high steganographic bandwidth ...
1911.02921
Enrique Fita Sanmartin
Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht (HCI/IWR at Heidelberg University)
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
To be published in NeurIPS2019
null
null
null
cs.DS cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The seeded Watershed algorithm / minimax semi-supervised learning on a graph computes a minimum spanning forest which connects every pixel / unlabeled node to a seed / labeled node. We propose instead to consider all possible spanning forests and calculate, for every node, the probability of sampling a forest connect...
[ { "created": "Wed, 6 Nov 2019 13:26:32 GMT", "version": "v1" } ]
2019-11-11
[ [ "Sanmartin", "Enrique Fita", "", "HCI/IWR\n at Heidelberg University" ], [ "Damrich", "Sebastian", "", "HCI/IWR\n at Heidelberg University" ], [ "Hamprecht", "Fred A.", "", "HCI/IWR\n at Heidelberg University" ] ]
The seeded Watershed algorithm / minimax semi-supervised learning on a graph computes a minimum spanning forest which connects every pixel / unlabeled node to a seed / labeled node. We propose instead to consider all possible spanning forests and calculate, for every node, the probability of sampling a forest connectin...
1401.3874
Fei Wu
Fei Wu, Jayant Madhavan, Alon Halevy
Identifying Aspects for Web-Search Queries
null
Journal Of Artificial Intelligence Research, Volume 40, pages 677-700, 2011
10.1613/jair.3182
null
cs.IR cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effec- tively, the search engine should attempt to organize the space of relevant information in a way that facilitates exploration. We describe the ...
[ { "created": "Thu, 16 Jan 2014 05:09:56 GMT", "version": "v1" } ]
2014-01-17
[ [ "Wu", "Fei", "" ], [ "Madhavan", "Jayant", "" ], [ "Halevy", "Alon", "" ] ]
Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effec- tively, the search engine should attempt to organize the space of relevant information in a way that facilitates exploration. We describe the As...
2310.00254
Youquan Xian
Youquan Xian, Lianghaojie Zhou, Jianyong Jiang, Boyi Wang, Hao Huo, Peng Liu
A Distributed Efficient Blockchain Oracle Scheme for Internet of Things
10 pages, 9 figures
null
null
null
cs.NI cs.DC cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, blockchain has been widely applied in the Internet of Things (IoT). Blockchain oracle, as a bridge for data communication between blockchain and off-chain, has also received significant attention. However, the numerous and heterogeneous devices in the IoT pose great challenges to the efficiency and s...
[ { "created": "Sat, 30 Sep 2023 04:54:50 GMT", "version": "v1" } ]
2023-10-03
[ [ "Xian", "Youquan", "" ], [ "Zhou", "Lianghaojie", "" ], [ "Jiang", "Jianyong", "" ], [ "Wang", "Boyi", "" ], [ "Huo", "Hao", "" ], [ "Liu", "Peng", "" ] ]
In recent years, blockchain has been widely applied in the Internet of Things (IoT). Blockchain oracle, as a bridge for data communication between blockchain and off-chain, has also received significant attention. However, the numerous and heterogeneous devices in the IoT pose great challenges to the efficiency and sec...
1611.02120
Brett Meyer
Sean C. Smithson and Guang Yang and Warren J. Gross and Brett H. Meyer
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization
To appear in ICCAD'16. The authoritative version will appear in the ACM Digital Library
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial neural networks have gone through a recent rise in popularity, achieving state-of-the-art results in various fields, including image classification, speech recognition, and automated control. Both the performance and computational complexity of such models are heavily dependant on the design of characteris...
[ { "created": "Mon, 7 Nov 2016 15:38:39 GMT", "version": "v1" } ]
2016-11-08
[ [ "Smithson", "Sean C.", "" ], [ "Yang", "Guang", "" ], [ "Gross", "Warren J.", "" ], [ "Meyer", "Brett H.", "" ] ]
Artificial neural networks have gone through a recent rise in popularity, achieving state-of-the-art results in various fields, including image classification, speech recognition, and automated control. Both the performance and computational complexity of such models are heavily dependant on the design of characteristi...
2105.03827
Wenhao Wu
Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen
Good Practices and A Strong Baseline for Traffic Anomaly Detection
We rank $1^{st}$ in the CVPR 2021 NVIDIA AI CITY Challenge for Traffic Anomaly detection
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
The detection of traffic anomalies is a critical component of the intelligent city transportation management system. Previous works have proposed a variety of notable insights and taken a step forward in this field, however, dealing with the complex traffic environment remains a challenge. Moreover, the lack of high-...
[ { "created": "Sun, 9 May 2021 03:51:37 GMT", "version": "v1" }, { "created": "Fri, 4 Jun 2021 12:47:27 GMT", "version": "v2" } ]
2021-06-07
[ [ "Zhao", "Yuxiang", "" ], [ "Wu", "Wenhao", "" ], [ "He", "Yue", "" ], [ "Li", "Yingying", "" ], [ "Tan", "Xiao", "" ], [ "Chen", "Shifeng", "" ] ]
The detection of traffic anomalies is a critical component of the intelligent city transportation management system. Previous works have proposed a variety of notable insights and taken a step forward in this field, however, dealing with the complex traffic environment remains a challenge. Moreover, the lack of high-qu...
2105.10897
Saptarshi Sarkar
Bharat Adsul, Paul Gastin, Saptarshi Sarkar, Pascal Weil
Asynchronous wreath product and cascade decompositions for concurrent behaviours
null
Logical Methods in Computer Science, Volume 18, Issue 2 (June 28, 2022) lmcs:7504
10.46298/lmcs-18(2:22)2022
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
We develop new algebraic tools to reason about concurrent behaviours modelled as languages of Mazurkiewicz traces and asynchronous automata. These tools reflect the distributed nature of traces and the underlying causality and concurrency between events, and can be said to support true concurrency. They generalize th...
[ { "created": "Sun, 23 May 2021 09:47:26 GMT", "version": "v1" }, { "created": "Tue, 1 Feb 2022 06:39:59 GMT", "version": "v2" }, { "created": "Mon, 21 Feb 2022 09:09:39 GMT", "version": "v3" }, { "created": "Wed, 27 Apr 2022 00:31:51 GMT", "version": "v4" }, { "cr...
2023-06-22
[ [ "Adsul", "Bharat", "" ], [ "Gastin", "Paul", "" ], [ "Sarkar", "Saptarshi", "" ], [ "Weil", "Pascal", "" ] ]
We develop new algebraic tools to reason about concurrent behaviours modelled as languages of Mazurkiewicz traces and asynchronous automata. These tools reflect the distributed nature of traces and the underlying causality and concurrency between events, and can be said to support true concurrency. They generalize the ...
1405.6434
Yanwei Fu
Yanwei Fu, Lingbo Wang, Yanwen Guo
Multi-view Metric Learning for Multi-view Video Summarization
null
null
null
null
cs.CV cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional methods on video summarization are designed to generate summaries for single-view video records; and thus they cannot fully exploit the redundancy in multi-view video records. In this paper, we present a multi-view metric learning framework for multi-view video summarization that combines the advantages o...
[ { "created": "Sun, 25 May 2014 22:35:19 GMT", "version": "v1" }, { "created": "Wed, 25 Nov 2015 22:56:21 GMT", "version": "v2" } ]
2015-11-30
[ [ "Fu", "Yanwei", "" ], [ "Wang", "Lingbo", "" ], [ "Guo", "Yanwen", "" ] ]
Traditional methods on video summarization are designed to generate summaries for single-view video records; and thus they cannot fully exploit the redundancy in multi-view video records. In this paper, we present a multi-view metric learning framework for multi-view video summarization that combines the advantages of ...
1403.3465
Hugh Brendan McMahan
H. Brendan McMahan
A Survey of Algorithms and Analysis for Adaptive Online Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present tools for the analysis of Follow-The-Regularized-Leader (FTRL), Dual Averaging, and Mirror Descent algorithms when the regularizer (equivalently, prox-function or learning rate schedule) is chosen adaptively based on the data. Adaptivity can be used to prove regret bounds that hold on every round, and also...
[ { "created": "Fri, 14 Mar 2014 00:25:03 GMT", "version": "v1" }, { "created": "Mon, 13 Oct 2014 18:31:01 GMT", "version": "v2" }, { "created": "Mon, 9 Nov 2015 17:32:51 GMT", "version": "v3" } ]
2015-11-10
[ [ "McMahan", "H. Brendan", "" ] ]
We present tools for the analysis of Follow-The-Regularized-Leader (FTRL), Dual Averaging, and Mirror Descent algorithms when the regularizer (equivalently, prox-function or learning rate schedule) is chosen adaptively based on the data. Adaptivity can be used to prove regret bounds that hold on every round, and also a...
2211.04314
Corentin Salaun
Corentin Sala\"un and Iliyan Georgiev and Hans-Peter Seidel and Gurprit Singh
Scalable multi-class sampling via filtered sliced optimal transport
15 pages, 17 figures, ACM Trans. Graph., Vol. 41, No. 6, Article 261. Publication date: December 2022
null
10.1145/3550454.3555484 10.1145/3550454.3555484 10.1145/3550454.3555484 10.1145/3550454.3555484 10.1145/3550454.3555484 10.1145/3550454.3555484
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
We propose a multi-class point optimization formulation based on continuous Wasserstein barycenters. Our formulation is designed to handle hundreds to thousands of optimization objectives and comes with a practical optimization scheme. We demonstrate the effectiveness of our framework on various sampling applications...
[ { "created": "Tue, 8 Nov 2022 15:33:04 GMT", "version": "v1" } ]
2022-11-09
[ [ "Salaün", "Corentin", "" ], [ "Georgiev", "Iliyan", "" ], [ "Seidel", "Hans-Peter", "" ], [ "Singh", "Gurprit", "" ] ]
We propose a multi-class point optimization formulation based on continuous Wasserstein barycenters. Our formulation is designed to handle hundreds to thousands of optimization objectives and comes with a practical optimization scheme. We demonstrate the effectiveness of our framework on various sampling applications l...
2012.15291
Lorenzo Clemente
Lorenzo Clemente and S{\l}awomir Lasota
Reachability relations of timed pushdown automata
Author's version of JCSS article
Journal of Computer and System Sciences, Volume 117, May 2021, Pages 202-241
10.1016/j.jcss.2020.11.003
null
cs.FL cs.LO
http://creativecommons.org/licenses/by/4.0/
Timed pushdown automata (TPDA) are an expressive formalism combining recursion with a rich logic of timing constraints. We prove that reachability relations of TPDA are expressible in linear arithmetic, a rich logic generalising Presburger arithmetic and rational arithmetic. The main technical ingredients are a novel...
[ { "created": "Wed, 30 Dec 2020 19:09:54 GMT", "version": "v1" } ]
2021-01-01
[ [ "Clemente", "Lorenzo", "" ], [ "Lasota", "Sławomir", "" ] ]
Timed pushdown automata (TPDA) are an expressive formalism combining recursion with a rich logic of timing constraints. We prove that reachability relations of TPDA are expressible in linear arithmetic, a rich logic generalising Presburger arithmetic and rational arithmetic. The main technical ingredients are a novel q...
2008.06655
Yi Xu
Xiang Li and Yuan Tian and Fuyao Zhang and Shuxue Quan and Yi Xu
Object Detection in the Context of Mobile Augmented Reality
accepted to IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the past few years, numerous Deep Neural Network (DNN) models and frameworks have been developed to tackle the problem of real-time object detection from RGB images. Ordinary object detection approaches process information from the images only, and they are oblivious to the camera pose with regard to the environme...
[ { "created": "Sat, 15 Aug 2020 05:15:00 GMT", "version": "v1" } ]
2020-08-18
[ [ "Li", "Xiang", "" ], [ "Tian", "Yuan", "" ], [ "Zhang", "Fuyao", "" ], [ "Quan", "Shuxue", "" ], [ "Xu", "Yi", "" ] ]
In the past few years, numerous Deep Neural Network (DNN) models and frameworks have been developed to tackle the problem of real-time object detection from RGB images. Ordinary object detection approaches process information from the images only, and they are oblivious to the camera pose with regard to the environment...
2110.15114
Jieming Zhu
Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
Accepted by CIKM 2021. Code available at: https://reczoo.github.io/UltraGCN
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the recent success of graph convolutional networks (GCNs), they have been widely applied for recommendation, and achieved impressive performance gains. The core of GCNs lies in its message passing mechanism to aggregate neighborhood information. However, we observed that message passing largely slows down the co...
[ { "created": "Thu, 28 Oct 2021 13:53:56 GMT", "version": "v1" }, { "created": "Thu, 30 Nov 2023 02:52:40 GMT", "version": "v2" } ]
2023-12-01
[ [ "Mao", "Kelong", "" ], [ "Zhu", "Jieming", "" ], [ "Xiao", "Xi", "" ], [ "Lu", "Biao", "" ], [ "Wang", "Zhaowei", "" ], [ "He", "Xiuqiang", "" ] ]
With the recent success of graph convolutional networks (GCNs), they have been widely applied for recommendation, and achieved impressive performance gains. The core of GCNs lies in its message passing mechanism to aggregate neighborhood information. However, we observed that message passing largely slows down the conv...
2406.12178
Weiwei Zhou
Jiada Lu, WeiWei Zhou, Xiang Qian, Dongze Lian, Yanyu Xu, Weifeng Wang, Lina Cao, Shenghua Gao
FCA-RAC: First Cycle Annotated Repetitive Action Counting
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Repetitive action counting quantifies the frequency of specific actions performed by individuals. However, existing action-counting datasets have limited action diversity, potentially hampering model performance on unseen actions. To address this issue, we propose a framework called First Cycle Annotated Repetitive A...
[ { "created": "Tue, 18 Jun 2024 01:12:43 GMT", "version": "v1" } ]
2024-06-19
[ [ "Lu", "Jiada", "" ], [ "Zhou", "WeiWei", "" ], [ "Qian", "Xiang", "" ], [ "Lian", "Dongze", "" ], [ "Xu", "Yanyu", "" ], [ "Wang", "Weifeng", "" ], [ "Cao", "Lina", "" ], [ "Gao", "Shenghua", ...
Repetitive action counting quantifies the frequency of specific actions performed by individuals. However, existing action-counting datasets have limited action diversity, potentially hampering model performance on unseen actions. To address this issue, we propose a framework called First Cycle Annotated Repetitive Act...
1607.03025
Ahmed Douik
Ahmed Douik and Sameh Sorour
Data Dissemination using Instantly Decodable Binary Codes in Fog-Radio Access Networks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consider a device-to-device (D2D) fog-radio access network wherein a set of devices are required to store a set of files. Each device is connected to a subset of the cloud data centers and thus possesses a subset of the data. This paper investigates the problem of disseminating all files among the devices while reduc...
[ { "created": "Mon, 11 Jul 2016 16:46:54 GMT", "version": "v1" }, { "created": "Mon, 9 Jan 2017 17:44:19 GMT", "version": "v2" }, { "created": "Sun, 5 Feb 2017 04:42:12 GMT", "version": "v3" } ]
2017-02-07
[ [ "Douik", "Ahmed", "" ], [ "Sorour", "Sameh", "" ] ]
Consider a device-to-device (D2D) fog-radio access network wherein a set of devices are required to store a set of files. Each device is connected to a subset of the cloud data centers and thus possesses a subset of the data. This paper investigates the problem of disseminating all files among the devices while reducin...
2402.04161
Ashok Vardhan Makkuva
Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
null
null
null
null
cs.LG cs.CL cs.IT math.IT stat.ML
http://creativecommons.org/licenses/by/4.0/
In recent years, attention-based transformers have achieved tremendous success across a variety of disciplines including natural languages. A key ingredient behind their success is the generative pretraining procedure, during which these models are trained on a large text corpus in an auto-regressive manner. To shed ...
[ { "created": "Tue, 6 Feb 2024 17:18:59 GMT", "version": "v1" } ]
2024-02-07
[ [ "Makkuva", "Ashok Vardhan", "" ], [ "Bondaschi", "Marco", "" ], [ "Girish", "Adway", "" ], [ "Nagle", "Alliot", "" ], [ "Jaggi", "Martin", "" ], [ "Kim", "Hyeji", "" ], [ "Gastpar", "Michael", "" ] ]
In recent years, attention-based transformers have achieved tremendous success across a variety of disciplines including natural languages. A key ingredient behind their success is the generative pretraining procedure, during which these models are trained on a large text corpus in an auto-regressive manner. To shed li...
2404.12739
Yang Yang
Longfei Huang, Shupeng Zhong, Xiangyu Wu, Ruoxuan Li
The Solution for the CVPR2024 NICE Image Captioning Challenge
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This report introduces a solution to the Topic 1 Zero-shot Image Captioning of 2024 NICE : New frontiers for zero-shot Image Captioning Evaluation. In contrast to NICE 2023 datasets, this challenge involves new annotations by humans with significant differences in caption style and content. Therefore, we enhance imag...
[ { "created": "Fri, 19 Apr 2024 09:32:16 GMT", "version": "v1" }, { "created": "Mon, 29 Apr 2024 12:36:39 GMT", "version": "v2" } ]
2024-04-30
[ [ "Huang", "Longfei", "" ], [ "Zhong", "Shupeng", "" ], [ "Wu", "Xiangyu", "" ], [ "Li", "Ruoxuan", "" ] ]
This report introduces a solution to the Topic 1 Zero-shot Image Captioning of 2024 NICE : New frontiers for zero-shot Image Captioning Evaluation. In contrast to NICE 2023 datasets, this challenge involves new annotations by humans with significant differences in caption style and content. Therefore, we enhance image ...
2406.08105
Niall McGuire
Niall McGuire and Dr Yashar Moshfeghi
Prediction of the Realisation of an Information Need: An EEG Study
null
null
null
null
cs.IR cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
One of the foundational goals of Information Retrieval (IR) is to satisfy searchers' Information Needs (IN). Understanding how INs physically manifest has long been a complex and elusive process. However, recent studies utilising Electroencephalography (EEG) data have provided real-time insights into the neural proce...
[ { "created": "Wed, 12 Jun 2024 11:34:19 GMT", "version": "v1" }, { "created": "Thu, 13 Jun 2024 08:53:56 GMT", "version": "v2" }, { "created": "Tue, 18 Jun 2024 09:13:04 GMT", "version": "v3" } ]
2024-06-19
[ [ "McGuire", "Niall", "" ], [ "Moshfeghi", "Dr Yashar", "" ] ]
One of the foundational goals of Information Retrieval (IR) is to satisfy searchers' Information Needs (IN). Understanding how INs physically manifest has long been a complex and elusive process. However, recent studies utilising Electroencephalography (EEG) data have provided real-time insights into the neural process...
2202.04509
St\'ephane d'Ascoli
St\'ephane d'Ascoli, Maria Refinetti, Giulio Biroli
Optimal learning rate schedules in high-dimensional non-convex optimization problems
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning rate schedules are ubiquitously used to speed up and improve optimisation. Many different policies have been introduced on an empirical basis, and theoretical analyses have been developed for convex settings. However, in many realistic problems the loss-landscape is high-dimensional and non convex -- a case ...
[ { "created": "Wed, 9 Feb 2022 15:15:39 GMT", "version": "v1" } ]
2022-02-10
[ [ "d'Ascoli", "Stéphane", "" ], [ "Refinetti", "Maria", "" ], [ "Biroli", "Giulio", "" ] ]
Learning rate schedules are ubiquitously used to speed up and improve optimisation. Many different policies have been introduced on an empirical basis, and theoretical analyses have been developed for convex settings. However, in many realistic problems the loss-landscape is high-dimensional and non convex -- a case fo...
1901.10116
EPTCS
Robert Furber (Aalborg University)
Categorical Equivalences from State-Effect Adjunctions
In Proceedings QPL 2018, arXiv:1901.09476
EPTCS 287, 2019, pp. 107-126
10.4204/EPTCS.287.6
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
From every pair of adjoint functors it is possible to produce a (possibly trivial) equivalence of categories by restricting to the subcategories where the unit and counit are isomorphisms. If we do this for the adjunction between effect algebras and abstract convex sets, we get the surprising result that the equivale...
[ { "created": "Tue, 29 Jan 2019 05:36:32 GMT", "version": "v1" } ]
2019-01-30
[ [ "Furber", "Robert", "", "Aalborg University" ] ]
From every pair of adjoint functors it is possible to produce a (possibly trivial) equivalence of categories by restricting to the subcategories where the unit and counit are isomorphisms. If we do this for the adjunction between effect algebras and abstract convex sets, we get the surprising result that the equivalent...
1212.3872
EPTCS
Kim G. Larsen (Department of Computer Science, Aalborg University), Radu Mardare (Department of Computer Science, Aalborg University), Claus Thrane (Department of Computer Science, Aalborg University)
Parameterized Metatheory for Continuous Markovian Logic
In Proceedings QFM 2012, arXiv:1212.3454
EPTCS 103, 2012, pp. 33-47
10.4204/EPTCS.103.4
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper shows that a classic metalogical framework, including all Boolean operators, can be used to support the development of a metric behavioural theory for Markov processes. Previously, only intuitionistic frameworks or frameworks without negation and logical implication have been developed to fulfill this task...
[ { "created": "Mon, 17 Dec 2012 03:40:40 GMT", "version": "v1" } ]
2012-12-18
[ [ "Larsen", "Kim G.", "", "Department of Computer Science, Aalborg University" ], [ "Mardare", "Radu", "", "Department of Computer Science, Aalborg University" ], [ "Thrane", "Claus", "", "Department of Computer Science, Aalborg University" ] ]
This paper shows that a classic metalogical framework, including all Boolean operators, can be used to support the development of a metric behavioural theory for Markov processes. Previously, only intuitionistic frameworks or frameworks without negation and logical implication have been developed to fulfill this task. ...
cs/0105037
Andreas Stolcke
G. Tur, D. Hakkani-Tur, A. Stolcke, E. Shriberg
Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation
27 pages, 8 figures
Computation Linguistics 27(1), 31-57, March 2001
10.1162/089120101300346796
null
cs.CL
null
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hidden Markov models and decision trees. Lexical information is obtained from a speech recognize...
[ { "created": "Thu, 31 May 2001 18:08:57 GMT", "version": "v1" } ]
2022-02-28
[ [ "Tur", "G.", "" ], [ "Hakkani-Tur", "D.", "" ], [ "Stolcke", "A.", "" ], [ "Shriberg", "E.", "" ] ]
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hidden Markov models and decision trees. Lexical information is obtained from a speech recognizer,...
2312.10127
Artjom Joosen
Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Darlow, Jianfeng Wang, Adam Barker
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads
null
SoCC '23: Proceedings of the 2023 ACM Symposium on Cloud Computing, October 2023, Pages 443-458
10.1145/3620678.3624783
null
cs.PF cs.DC cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper releases and analyzes two new Huawei cloud serverless traces. The traces span a period of over 7 months with over 1.4 trillion function invocations combined. The first trace is derived from Huawei's internal workloads and contains detailed per-second statistics for 200 functions running across multiple Hua...
[ { "created": "Fri, 15 Dec 2023 14:43:14 GMT", "version": "v1" } ]
2023-12-19
[ [ "Joosen", "Artjom", "" ], [ "Hassan", "Ahmed", "" ], [ "Asenov", "Martin", "" ], [ "Singh", "Rajkarn", "" ], [ "Darlow", "Luke", "" ], [ "Wang", "Jianfeng", "" ], [ "Barker", "Adam", "" ] ]
This paper releases and analyzes two new Huawei cloud serverless traces. The traces span a period of over 7 months with over 1.4 trillion function invocations combined. The first trace is derived from Huawei's internal workloads and contains detailed per-second statistics for 200 functions running across multiple Huawe...
2401.00924
Shounak Chatterjee
Shounak Chatterjee
Free-form Shape Modeling in XR: A Systematic Review
null
null
null
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
Shape modeling research in Computer Graphics has been an active area for decades. The ability to create and edit complex 3D shapes has been of key importance in Computer-Aided Design, Animation, Architecture, and Entertainment. With the growing popularity of Virtual and Augmented Reality, new applications and tools h...
[ { "created": "Mon, 1 Jan 2024 13:17:50 GMT", "version": "v1" } ]
2024-01-03
[ [ "Chatterjee", "Shounak", "" ] ]
Shape modeling research in Computer Graphics has been an active area for decades. The ability to create and edit complex 3D shapes has been of key importance in Computer-Aided Design, Animation, Architecture, and Entertainment. With the growing popularity of Virtual and Augmented Reality, new applications and tools hav...
2002.03751
Yilan Li
Yilan Li, Senem Velipasalar
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent works have shown that neural networks are vulnerable to carefully crafted adversarial examples (AE). By adding small perturbations to input images, AEs are able to make the victim model predicts incorrect outputs. Several research work in adversarial machine learning started to focus on the detection of AEs in...
[ { "created": "Sat, 25 Jan 2020 23:59:34 GMT", "version": "v1" }, { "created": "Mon, 4 May 2020 00:50:00 GMT", "version": "v2" } ]
2020-05-05
[ [ "Li", "Yilan", "" ], [ "Velipasalar", "Senem", "" ] ]
Recent works have shown that neural networks are vulnerable to carefully crafted adversarial examples (AE). By adding small perturbations to input images, AEs are able to make the victim model predicts incorrect outputs. Several research work in adversarial machine learning started to focus on the detection of AEs in a...
1204.0357
Stefan Bauer
Stefan Bauer (1), Lutz-P. Nolte (1), Mauricio Reyes (1) ((1) Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland)
Skull-stripping for Tumor-bearing Brain Images
Swiss Society of Biomedical Engineering, Annual Meeting 2011, Bern, Switzerland
null
null
null
cs.CV cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Skull-stripping separates the skull region of the head from the soft brain tissues. In many cases of brain image analysis, this is an essential preprocessing step in order to improve the final result. This is true for both registration and segmentation tasks. In fact, skull-stripping of magnetic resonance images (MRI...
[ { "created": "Mon, 2 Apr 2012 09:48:12 GMT", "version": "v1" } ]
2012-04-03
[ [ "Bauer", "Stefan", "" ], [ "Nolte", "Lutz-P.", "" ], [ "Reyes", "Mauricio", "" ] ]
Skull-stripping separates the skull region of the head from the soft brain tissues. In many cases of brain image analysis, this is an essential preprocessing step in order to improve the final result. This is true for both registration and segmentation tasks. In fact, skull-stripping of magnetic resonance images (MRI) ...
2202.03497
Wenzhong Yan
Wenzhong Yan and Ankur Mehta
A crawling robot driven by a folded self-sustained oscillator
6 pages, 8 figures, has been accepted by RoboSoft 2022
2022 IEEE 5th International Conference on Soft Robotics (RoboSoft)
10.1109/RoboSoft54090.2022.9762079
null
cs.RO physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually involve complicated and tedious fabrication processes, limiting their applications. Here, we develop an easy-to-fabricate crawling robot by emb...
[ { "created": "Mon, 7 Feb 2022 20:22:34 GMT", "version": "v1" }, { "created": "Tue, 3 May 2022 01:04:47 GMT", "version": "v2" } ]
2022-05-04
[ [ "Yan", "Wenzhong", "" ], [ "Mehta", "Ankur", "" ] ]
Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually involve complicated and tedious fabrication processes, limiting their applications. Here, we develop an easy-to-fabricate crawling robot by embed...
1305.0534
Robert Kleinberg
Robert Kleinberg and Yang Yuan
On the Ratio of Revenue to Welfare in Single-Parameter Mechanism Design
15 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
What fraction of the potential social surplus in an environment can be extracted by a revenue-maximizing monopolist? We investigate this problem in Bayesian single-parameter environments with independent private values. The precise answer to the question obviously depends on the particulars of the environment: the fe...
[ { "created": "Thu, 2 May 2013 18:54:15 GMT", "version": "v1" } ]
2013-05-03
[ [ "Kleinberg", "Robert", "" ], [ "Yuan", "Yang", "" ] ]
What fraction of the potential social surplus in an environment can be extracted by a revenue-maximizing monopolist? We investigate this problem in Bayesian single-parameter environments with independent private values. The precise answer to the question obviously depends on the particulars of the environment: the feas...
2402.04522
Ismet Dagli
Ismet Dagli, Amid Morshedlou, Jamal Rostami, Mehmet E. Belviranli
H-EYE: Holistic Resource Modeling and Management for Diversely Scaled Edge-Cloud Systems
Major revision
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing systems have been evolving to be more pervasive, heterogeneous, and dynamic. An increasing number of emerging domains now rely on diverse edge to cloud continuum where the execution of applications often spans various tiers of systems with significantly heterogeneous computational capabilities. Resources in...
[ { "created": "Wed, 7 Feb 2024 02:04:30 GMT", "version": "v1" }, { "created": "Tue, 25 Jun 2024 18:30:47 GMT", "version": "v2" } ]
2024-06-27
[ [ "Dagli", "Ismet", "" ], [ "Morshedlou", "Amid", "" ], [ "Rostami", "Jamal", "" ], [ "Belviranli", "Mehmet E.", "" ] ]
Computing systems have been evolving to be more pervasive, heterogeneous, and dynamic. An increasing number of emerging domains now rely on diverse edge to cloud continuum where the execution of applications often spans various tiers of systems with significantly heterogeneous computational capabilities. Resources in e...
2010.04744
Christopher Chu
Christopher Chu, Scot Fang and Kevin Knight
Learning to Pronounce Chinese Without a Pronunciation Dictionary
7 pages. To appear in EMNLP 2020
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary. From non-parallel streams of Chinese characters and Chinese pinyin syllables, it establishes a many-to-many mapping between characters and pronunciations. Using unsupervised methods, the program effectively...
[ { "created": "Fri, 9 Oct 2020 18:03:49 GMT", "version": "v1" } ]
2020-10-13
[ [ "Chu", "Christopher", "" ], [ "Fang", "Scot", "" ], [ "Knight", "Kevin", "" ] ]
We demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary. From non-parallel streams of Chinese characters and Chinese pinyin syllables, it establishes a many-to-many mapping between characters and pronunciations. Using unsupervised methods, the program effectively d...
2303.13495
Ziqi Huang
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu
ReVersion: Diffusion-Based Relation Inversion from Images
First two authors contributed equally. Project page: https://ziqihuangg.github.io/projects/reversion.html Code: https://github.com/ziqihuangg/ReVersion
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion models gain increasing popularity for their generative capabilities. Recently, there have been surging needs to generate customized images by inverting diffusion models from exemplar images. However, existing inversion methods mainly focus on capturing object appearances. How to invert object relations, ano...
[ { "created": "Thu, 23 Mar 2023 17:56:10 GMT", "version": "v1" } ]
2023-03-24
[ [ "Huang", "Ziqi", "" ], [ "Wu", "Tianxing", "" ], [ "Jiang", "Yuming", "" ], [ "Chan", "Kelvin C. K.", "" ], [ "Liu", "Ziwei", "" ] ]
Diffusion models gain increasing popularity for their generative capabilities. Recently, there have been surging needs to generate customized images by inverting diffusion models from exemplar images. However, existing inversion methods mainly focus on capturing object appearances. How to invert object relations, anoth...
1006.1497
Frank Raiser
Frank Raiser and Thom Fr\"uhwirth
Analyzing Graph Transformation Systems through Constraint Handling Rules
45 pages, 11 figures, to appear in Theory and Practice of Logic Programming (TPLP)
null
null
null
cs.LO cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph transformation systems (GTS) and constraint handling rules (CHR) are non-deterministic rule-based state transition systems. CHR is well-known for its powerful confluence and program equivalence analyses, for which we provide the basis in this work to apply them to GTS. We give a sound and complete embedding of ...
[ { "created": "Tue, 8 Jun 2010 09:25:33 GMT", "version": "v1" }, { "created": "Tue, 15 Jun 2010 07:25:59 GMT", "version": "v2" } ]
2010-06-16
[ [ "Raiser", "Frank", "" ], [ "Frühwirth", "Thom", "" ] ]
Graph transformation systems (GTS) and constraint handling rules (CHR) are non-deterministic rule-based state transition systems. CHR is well-known for its powerful confluence and program equivalence analyses, for which we provide the basis in this work to apply them to GTS. We give a sound and complete embedding of GT...
2004.12193
Chi Zhang
Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
AAAI 2020 Oral. Project page: https://sites.google.com/view/number-sense/home Code: https://github.com/zwh1999anne/Machine-Number-Sense-Dataset Dataset: https://drive.google.com/file/d/17KuL8KOIDAeRL-lD418oiDEm8bE6TEFb/view
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a comprehensive indicator of mathematical thinking and intelligence, the number sense (Dehaene 2011) bridges the induction of symbolic concepts and the competence of problem-solving. To endow such a crucial cognitive ability to machine intelligence, we propose a dataset, Machine Number Sense (MNS), consisting of v...
[ { "created": "Sat, 25 Apr 2020 17:14:58 GMT", "version": "v1" } ]
2020-04-28
[ [ "Zhang", "Wenhe", "" ], [ "Zhang", "Chi", "" ], [ "Zhu", "Yixin", "" ], [ "Zhu", "Song-Chun", "" ] ]
As a comprehensive indicator of mathematical thinking and intelligence, the number sense (Dehaene 2011) bridges the induction of symbolic concepts and the competence of problem-solving. To endow such a crucial cognitive ability to machine intelligence, we propose a dataset, Machine Number Sense (MNS), consisting of vis...
2306.02502
Sangeetha Abdu Jyothi
Sangeetha Abdu Jyothi
Characterizing the Role of Power Grids in Internet Resilience
null
null
null
null
cs.NI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among critical infrastructures, power grids and communication infrastructure are identified as uniquely critical since they enable the operation of all other sectors. Due to their vital role, the research community has undertaken extensive efforts to understand the complex dynamics and resilience characteristics of t...
[ { "created": "Sun, 4 Jun 2023 23:00:38 GMT", "version": "v1" }, { "created": "Wed, 16 Aug 2023 17:36:30 GMT", "version": "v2" } ]
2023-08-17
[ [ "Jyothi", "Sangeetha Abdu", "" ] ]
Among critical infrastructures, power grids and communication infrastructure are identified as uniquely critical since they enable the operation of all other sectors. Due to their vital role, the research community has undertaken extensive efforts to understand the complex dynamics and resilience characteristics of the...
2205.05357
Xuenan Xu
Xuenan Xu, Zeyu Xie, Mengyue Wu, Kai Yu
Beyond the Status Quo: A Contemporary Survey of Advances and Challenges in Audio Captioning
null
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Automated audio captioning (AAC), a task that mimics human perception as well as innovatively links audio processing and natural language processing, has overseen much progress over the last few years. AAC requires recognizing contents such as the environment, sound events and the temporal relationships between sound...
[ { "created": "Wed, 11 May 2022 09:09:15 GMT", "version": "v1" }, { "created": "Thu, 16 Nov 2023 00:04:01 GMT", "version": "v2" } ]
2023-11-17
[ [ "Xu", "Xuenan", "" ], [ "Xie", "Zeyu", "" ], [ "Wu", "Mengyue", "" ], [ "Yu", "Kai", "" ] ]
Automated audio captioning (AAC), a task that mimics human perception as well as innovatively links audio processing and natural language processing, has overseen much progress over the last few years. AAC requires recognizing contents such as the environment, sound events and the temporal relationships between sound e...
2211.05552
Reinhard Heckel
Ilan Shomorony and Reinhard Heckel
Information-Theoretic Foundations of DNA Data Storage
Preprint of a monograph published in Foundations and Trends in Communications and Information Theory
Foundations and Trends in Communications and Information Theory, Vol. 19, No. 1, pp 1-106, 2022
10.1561/0100000117
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to its longevity and enormous information density, DNA is an attractive medium for archival data storage. Thanks to rapid technological advances, DNA storage is becoming practically feasible, as demonstrated by a number of experimental storage systems, making it a promising solution for our society's increasing n...
[ { "created": "Thu, 10 Nov 2022 13:19:52 GMT", "version": "v1" } ]
2022-11-11
[ [ "Shomorony", "Ilan", "" ], [ "Heckel", "Reinhard", "" ] ]
Due to its longevity and enormous information density, DNA is an attractive medium for archival data storage. Thanks to rapid technological advances, DNA storage is becoming practically feasible, as demonstrated by a number of experimental storage systems, making it a promising solution for our society's increasing nee...
1305.1141
Urmila Shrawankar Ms
Urmila Shrawankar, V M Thakare
Acoustic Echo Cancellation Postfilter Design Issues For Speech Recognition System
Pages: 6
International Journal of Science and Advanced Technology (IJSAT), ISSN 2221-8386, Vol 1 No 5, July 2011, pp 38-43
null
null
cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper a generalized postfilter algorithm design issues are presented. This postfilter is used to jointly suppress late reverberation, residual echo, and background noise. When residual echo and noise are suppressed, the best result obtains by suppressing both interferences together after the Acoustic echo can...
[ { "created": "Mon, 6 May 2013 10:33:06 GMT", "version": "v1" } ]
2013-05-07
[ [ "Shrawankar", "Urmila", "" ], [ "Thakare", "V M", "" ] ]
In this paper a generalized postfilter algorithm design issues are presented. This postfilter is used to jointly suppress late reverberation, residual echo, and background noise. When residual echo and noise are suppressed, the best result obtains by suppressing both interferences together after the Acoustic echo cance...
1508.04234
Amitabh Trehan
Armando Castaneda, Danny Dolev and Amitabh Trehan
Compact Routing Messages in Self-Healing Trees
Under Submission
null
null
null
cs.DC cs.DS cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing compact routing schemes, e.g., Thorup and Zwick [SPAA 2001] and Chechik [PODC 2013], often have no means to tolerate failures, once the system has been setup and started. This paper presents, to our knowledge, the first self-healing compact routing scheme. Besides, our schemes are developed for low memory no...
[ { "created": "Tue, 18 Aug 2015 07:47:55 GMT", "version": "v1" } ]
2015-08-19
[ [ "Castaneda", "Armando", "" ], [ "Dolev", "Danny", "" ], [ "Trehan", "Amitabh", "" ] ]
Existing compact routing schemes, e.g., Thorup and Zwick [SPAA 2001] and Chechik [PODC 2013], often have no means to tolerate failures, once the system has been setup and started. This paper presents, to our knowledge, the first self-healing compact routing scheme. Besides, our schemes are developed for low memory node...
1204.2903
Thomas Bl\"asius
Thomas Bl\"asius and Ignaz Rutter
Disconnectivity and Relative Positions in Simultaneous Embeddings
34 pages, 8 figures
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem Simultaneous Embedding with Fixed Edges (SEFE) asks for two planar graph $G^1 = (V^1, E^1)$ and $G^2 = (V^2, E^2)$ sharing a common subgraph $G = G^1 \cap G^2$ whether they admit planar drawings such that the common graph is drawn the same in both. Previous results on this problem require $G$, $G^1$ and $...
[ { "created": "Fri, 13 Apr 2012 07:29:15 GMT", "version": "v1" }, { "created": "Fri, 19 Jun 2015 08:35:18 GMT", "version": "v2" } ]
2015-06-22
[ [ "Bläsius", "Thomas", "" ], [ "Rutter", "Ignaz", "" ] ]
The problem Simultaneous Embedding with Fixed Edges (SEFE) asks for two planar graph $G^1 = (V^1, E^1)$ and $G^2 = (V^2, E^2)$ sharing a common subgraph $G = G^1 \cap G^2$ whether they admit planar drawings such that the common graph is drawn the same in both. Previous results on this problem require $G$, $G^1$ and $G^...
2305.13778
Jianing Li
Jianing Li and Bowen Chen and Zhiyong Wang and Honghai Liu
Full Resolution Repetition Counting
12 pages and 4 figures and 17 conferences
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive actions, also optimization challenges in end-to-end video model training, down-sampling is commonly utilized in recent state-of-the-art meth...
[ { "created": "Tue, 23 May 2023 07:45:56 GMT", "version": "v1" }, { "created": "Wed, 24 May 2023 10:52:44 GMT", "version": "v2" } ]
2023-05-25
[ [ "Li", "Jianing", "" ], [ "Chen", "Bowen", "" ], [ "Wang", "Zhiyong", "" ], [ "Liu", "Honghai", "" ] ]
Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive actions, also optimization challenges in end-to-end video model training, down-sampling is commonly utilized in recent state-of-the-art method...
1903.07424
Yang Chen Mr
Yang Chen, Xiaoyan Sun, Yaochu Jin
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
null
IEEE Transactions on Neural Networks and Learning Systems, 2019
10.1109/TNNLS.2019.2953131
null
cs.LG cs.AI cs.DC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning obtains a central model on the server by aggregating models trained locally on clients. As a result, federated learning does not require clients to upload their data to the server, thereby preserving the data privacy of the clients. One challenge in federated learning is to reduce the client-server...
[ { "created": "Mon, 18 Mar 2019 13:27:42 GMT", "version": "v1" } ]
2020-08-31
[ [ "Chen", "Yang", "" ], [ "Sun", "Xiaoyan", "" ], [ "Jin", "Yaochu", "" ] ]
Federated learning obtains a central model on the server by aggregating models trained locally on clients. As a result, federated learning does not require clients to upload their data to the server, thereby preserving the data privacy of the clients. One challenge in federated learning is to reduce the client-server c...
2401.06331
Banafshe Felfeliyan
Banafshe Felfeliyan and Yuyue Zhou and Shrimanti Ghosh and Jessica Kupper and Shaobo Liu and Abhilash Hareendranathan and Jacob L. Jaremko
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Osteoarthritis (OA) poses a global health challenge, demanding precise diagnostic methods. Current radiographic assessments are time consuming and prone to variability, prompting the need for automated solutions. The existing deep learning models for OA assessment are unimodal single task systems and they don't incor...
[ { "created": "Fri, 12 Jan 2024 02:43:58 GMT", "version": "v1" } ]
2024-01-15
[ [ "Felfeliyan", "Banafshe", "" ], [ "Zhou", "Yuyue", "" ], [ "Ghosh", "Shrimanti", "" ], [ "Kupper", "Jessica", "" ], [ "Liu", "Shaobo", "" ], [ "Hareendranathan", "Abhilash", "" ], [ "Jaremko", "Jacob L.", "...
Osteoarthritis (OA) poses a global health challenge, demanding precise diagnostic methods. Current radiographic assessments are time consuming and prone to variability, prompting the need for automated solutions. The existing deep learning models for OA assessment are unimodal single task systems and they don't incorpo...
1905.13678
Aidan N. Gomez
Aidan N. Gomez, Ivan Zhang, Siddhartha Rao Kamalakara, Divyam Madaan, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton
Learning Sparse Networks Using Targeted Dropout
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural networks are easier to optimise when they have many more weights than are required for modelling the mapping from inputs to outputs. This suggests a two-stage learning procedure that first learns a large net and then prunes away connections or hidden units. But standard training does not necessarily encourage ...
[ { "created": "Fri, 31 May 2019 15:40:36 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2019 16:19:12 GMT", "version": "v2" }, { "created": "Wed, 5 Jun 2019 09:19:52 GMT", "version": "v3" }, { "created": "Tue, 3 Sep 2019 18:34:54 GMT", "version": "v4" }, { "crea...
2019-09-10
[ [ "Gomez", "Aidan N.", "" ], [ "Zhang", "Ivan", "" ], [ "Kamalakara", "Siddhartha Rao", "" ], [ "Madaan", "Divyam", "" ], [ "Swersky", "Kevin", "" ], [ "Gal", "Yarin", "" ], [ "Hinton", "Geoffrey E.", "" ] ...
Neural networks are easier to optimise when they have many more weights than are required for modelling the mapping from inputs to outputs. This suggests a two-stage learning procedure that first learns a large net and then prunes away connections or hidden units. But standard training does not necessarily encourage ne...
1502.02991
Gal Amram
Gal Amram, Lior Mizrahi and Gera Weiss
Simple Executions of Snapshot Implementations
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The well known snapshot primitive in concurrent programming allows for n-asynchronous processes to write values to an array of single-writer registers and, for each process, to take a snapshot of these registers. In this paper we provide a formulation of the well known linearizability condition for snapshot algorithm...
[ { "created": "Tue, 10 Feb 2015 17:03:54 GMT", "version": "v1" } ]
2015-02-11
[ [ "Amram", "Gal", "" ], [ "Mizrahi", "Lior", "" ], [ "Weiss", "Gera", "" ] ]
The well known snapshot primitive in concurrent programming allows for n-asynchronous processes to write values to an array of single-writer registers and, for each process, to take a snapshot of these registers. In this paper we provide a formulation of the well known linearizability condition for snapshot algorithms ...
1812.04914
Zhanwei Xu
Zhanwei Xu, Ziyi Wu, Jianjiang Feng
CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation
12 pages, 6 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel heart segmentation pipeline Combining Faster R-CNN and U-net Network (CFUN). Due to Faster R-CNN's precise localization ability and U-net's powerful segmentation ability, CFUN needs only one-step detection and segmentation inference to get the whole heart segmentation result, obtaini...
[ { "created": "Wed, 12 Dec 2018 12:22:22 GMT", "version": "v1" } ]
2018-12-13
[ [ "Xu", "Zhanwei", "" ], [ "Wu", "Ziyi", "" ], [ "Feng", "Jianjiang", "" ] ]
In this paper, we propose a novel heart segmentation pipeline Combining Faster R-CNN and U-net Network (CFUN). Due to Faster R-CNN's precise localization ability and U-net's powerful segmentation ability, CFUN needs only one-step detection and segmentation inference to get the whole heart segmentation result, obtaining...
2112.07163
Hideaki Iiduka
Hideaki Iiduka
Minimization of Stochastic First-order Oracle Complexity of Adaptive Methods for Nonconvex Optimization
null
null
null
null
cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
Numerical evaluations have definitively shown that, for deep learning optimizers such as stochastic gradient descent, momentum, and adaptive methods, the number of steps needed to train a deep neural network halves for each doubling of the batch size and that there is a region of diminishing returns beyond the critic...
[ { "created": "Tue, 14 Dec 2021 04:55:04 GMT", "version": "v1" }, { "created": "Thu, 16 Dec 2021 06:24:21 GMT", "version": "v2" } ]
2021-12-17
[ [ "Iiduka", "Hideaki", "" ] ]
Numerical evaluations have definitively shown that, for deep learning optimizers such as stochastic gradient descent, momentum, and adaptive methods, the number of steps needed to train a deep neural network halves for each doubling of the batch size and that there is a region of diminishing returns beyond the critical...
1505.00335
Chengqing Li
Chengqing Li
Cracking a hierarchical chaotic image encryption algorithm based on permutation
8 pages
Signal Processing, 2016, 118: 203-210
10.1016/j.sigpro.2015.07.008
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In year 2000, an efficient hierarchical chaotic image encryption (HCIE) algorithm was proposed, which divides a plain-image of size $M\times N$ with $T$ possible value levels into $K$ blocks of the same size and then operates position permutation on two levels: intra-block and inter-block. As a typical position permu...
[ { "created": "Sat, 2 May 2015 12:01:26 GMT", "version": "v1" }, { "created": "Mon, 26 Sep 2016 05:19:43 GMT", "version": "v2" } ]
2016-09-27
[ [ "Li", "Chengqing", "" ] ]
In year 2000, an efficient hierarchical chaotic image encryption (HCIE) algorithm was proposed, which divides a plain-image of size $M\times N$ with $T$ possible value levels into $K$ blocks of the same size and then operates position permutation on two levels: intra-block and inter-block. As a typical position permuta...
1908.08016
Mantas Mazeika
Max Kaufmann, Daniel Kang, Yi Sun, Steven Basart, Xuwang Yin, Mantas Mazeika, Akul Arora, Adam Dziedzic, Franziska Boenisch, Tom Brown, Jacob Steinhardt, Dan Hendrycks
Testing Robustness Against Unforeseen Adversaries
Datasets available at https://github.com/centerforaisafety/adversarial-corruptions
null
null
null
cs.LG cs.CR cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial robustness research primarily focuses on L_p perturbations, and most defenses are developed with identical training-time and test-time adversaries. However, in real-world applications developers are unlikely to have access to the full range of attacks or corruptions their system will face. Furthermore, wo...
[ { "created": "Wed, 21 Aug 2019 17:36:48 GMT", "version": "v1" }, { "created": "Tue, 9 Jun 2020 05:17:48 GMT", "version": "v2" }, { "created": "Sun, 9 Jul 2023 19:07:51 GMT", "version": "v3" }, { "created": "Mon, 30 Oct 2023 14:42:29 GMT", "version": "v4" } ]
2023-10-31
[ [ "Kaufmann", "Max", "" ], [ "Kang", "Daniel", "" ], [ "Sun", "Yi", "" ], [ "Basart", "Steven", "" ], [ "Yin", "Xuwang", "" ], [ "Mazeika", "Mantas", "" ], [ "Arora", "Akul", "" ], [ "Dziedzic", "...
Adversarial robustness research primarily focuses on L_p perturbations, and most defenses are developed with identical training-time and test-time adversaries. However, in real-world applications developers are unlikely to have access to the full range of attacks or corruptions their system will face. Furthermore, wors...
cs/0111047
Rajkumar Buyya
Rajkumar Buyya, Kim Branson, Jon Giddy, and David Abramson
Virtual Laboratory: Enabling On-Demand Drug Design with the World Wide Grid
null
null
null
null
cs.DC
null
Computational Grids are emerging as a popular paradigm for solving large-scale compute and data intensive problems in science, engineering, and commerce. However, application composition, resource management and scheduling in these environments is a complex undertaking. In this paper, we illustrate the creation of a ...
[ { "created": "Sat, 17 Nov 2001 07:20:58 GMT", "version": "v1" } ]
2007-05-23
[ [ "Buyya", "Rajkumar", "" ], [ "Branson", "Kim", "" ], [ "Giddy", "Jon", "" ], [ "Abramson", "David", "" ] ]
Computational Grids are emerging as a popular paradigm for solving large-scale compute and data intensive problems in science, engineering, and commerce. However, application composition, resource management and scheduling in these environments is a complex undertaking. In this paper, we illustrate the creation of a vi...
2002.05814
Zhuohan Li
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems
SIGCOMM 2021
null
null
null
cs.DC cs.LG cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Task-based distributed frameworks (e.g., Ray, Dask, Hydro) have become increasingly popular for distributed applications that contain asynchronous and dynamic workloads, including asynchronous gradient descent, reinforcement learning, and model serving. As more data-intensive applications move to run on top of task-b...
[ { "created": "Thu, 13 Feb 2020 23:48:54 GMT", "version": "v1" }, { "created": "Tue, 28 Sep 2021 04:49:58 GMT", "version": "v2" } ]
2021-09-29
[ [ "Zhuang", "Siyuan", "" ], [ "Li", "Zhuohan", "" ], [ "Zhuo", "Danyang", "" ], [ "Wang", "Stephanie", "" ], [ "Liang", "Eric", "" ], [ "Nishihara", "Robert", "" ], [ "Moritz", "Philipp", "" ], [ "Sto...
Task-based distributed frameworks (e.g., Ray, Dask, Hydro) have become increasingly popular for distributed applications that contain asynchronous and dynamic workloads, including asynchronous gradient descent, reinforcement learning, and model serving. As more data-intensive applications move to run on top of task-bas...
2402.09715
Yu Liu
Yu Liu, Zibo Wang, Yifei Zhu, Chen Chen
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Accepted by IEEE International Conference on Computer Communications (INFOCOM '24)
null
null
null
cs.DC cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning (FL) has emerged as a prevalent distributed machine learning scheme that enables collaborative model training without aggregating raw data. Cloud service providers further embrace Federated Learning as a Service (FLaaS), allowing data analysts to execute their FL training pipelines over differentia...
[ { "created": "Thu, 15 Feb 2024 05:19:53 GMT", "version": "v1" } ]
2024-02-16
[ [ "Liu", "Yu", "" ], [ "Wang", "Zibo", "" ], [ "Zhu", "Yifei", "" ], [ "Chen", "Chen", "" ] ]
Federated learning (FL) has emerged as a prevalent distributed machine learning scheme that enables collaborative model training without aggregating raw data. Cloud service providers further embrace Federated Learning as a Service (FLaaS), allowing data analysts to execute their FL training pipelines over differentiall...
1806.06114
Mark Bickford
Mark Bickford
Formalizing Category Theory and Presheaf Models of Type Theory in Nuprl
20 pages
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article is the first in a series of articles that explain the formalization of a constructive model of cubical type theory in Nuprl. In this document we discuss only the parts of the formalization that do not depend on the choice of base category. So, it spells out how we make the first steps of our formalizatio...
[ { "created": "Fri, 15 Jun 2018 20:16:46 GMT", "version": "v1" } ]
2018-06-19
[ [ "Bickford", "Mark", "" ] ]
This article is the first in a series of articles that explain the formalization of a constructive model of cubical type theory in Nuprl. In this document we discuss only the parts of the formalization that do not depend on the choice of base category. So, it spells out how we make the first steps of our formalization ...
2003.02014
Zichao Zhang
Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza
Redesigning SLAM for Arbitrary Multi-Camera Systems
null
IEEE Conference on Robotics and Automation (ICRA), Paris, 2020
10.1109/ICRA40945.2020.9197553
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adding more cameras to SLAM systems improves robustness and accuracy but complicates the design of the visual front-end significantly. Thus, most systems in the literature are tailored for specific camera configurations. In this work, we aim at an adaptive SLAM system that works for arbitrary multi-camera setups. To ...
[ { "created": "Wed, 4 Mar 2020 11:44:42 GMT", "version": "v1" } ]
2021-01-01
[ [ "Kuo", "Juichung", "" ], [ "Muglikar", "Manasi", "" ], [ "Zhang", "Zichao", "" ], [ "Scaramuzza", "Davide", "" ] ]
Adding more cameras to SLAM systems improves robustness and accuracy but complicates the design of the visual front-end significantly. Thus, most systems in the literature are tailored for specific camera configurations. In this work, we aim at an adaptive SLAM system that works for arbitrary multi-camera setups. To th...
2107.03021
Fangneng Zhan
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao
Bi-level Feature Alignment for Versatile Image Translation and Manipulation
Accepted to ECCV 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Generative adversarial networks (GANs) have achieved great success in image translation and manipulation. However, high-fidelity image generation with faithful style control remains a grand challenge in computer vision. This paper presents a versatile image translation and manipulation framework that achieves accurat...
[ { "created": "Wed, 7 Jul 2021 05:26:29 GMT", "version": "v1" }, { "created": "Thu, 21 Jul 2022 22:29:00 GMT", "version": "v2" } ]
2022-07-25
[ [ "Zhan", "Fangneng", "" ], [ "Yu", "Yingchen", "" ], [ "Wu", "Rongliang", "" ], [ "Zhang", "Jiahui", "" ], [ "Cui", "Kaiwen", "" ], [ "Xiao", "Aoran", "" ], [ "Lu", "Shijian", "" ], [ "Miao", "Ch...
Generative adversarial networks (GANs) have achieved great success in image translation and manipulation. However, high-fidelity image generation with faithful style control remains a grand challenge in computer vision. This paper presents a versatile image translation and manipulation framework that achieves accurate ...
2405.06056
Johannes Bl\"uhdorn
Johannes Bl\"uhdorn, Pedro Gomes, Max Aehle, Nicolas R. Gauger
Hybrid parallel discrete adjoints in SU2
28 pages, 9 figures, 2 listings; new layout, revised section structure, polishing and small updates
null
null
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The open-source multiphysics suite SU2 features discrete adjoints by means of operator overloading automatic differentiation (AD). While both primal and discrete adjoint solvers support MPI parallelism, hybrid parallelism using both MPI and OpenMP has only been introduced for the primal solvers so far. In this work, ...
[ { "created": "Thu, 9 May 2024 19:00:48 GMT", "version": "v1" }, { "created": "Wed, 7 Aug 2024 22:21:57 GMT", "version": "v2" } ]
2024-08-09
[ [ "Blühdorn", "Johannes", "" ], [ "Gomes", "Pedro", "" ], [ "Aehle", "Max", "" ], [ "Gauger", "Nicolas R.", "" ] ]
The open-source multiphysics suite SU2 features discrete adjoints by means of operator overloading automatic differentiation (AD). While both primal and discrete adjoint solvers support MPI parallelism, hybrid parallelism using both MPI and OpenMP has only been introduced for the primal solvers so far. In this work, we...
2209.12742
Aintzane Mosteiro-Sanchez
Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga, Aitor Urbieta
Too Many Options: A Survey of ABE Libraries for Developers
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribute-based encryption (ABE) comprises a set of one-to-many encryption schemes that allow the encryption and decryption of data by associating it with access policies and attributes. Therefore, it is an asymmetric encryption scheme, and its computational requirements limit its deployment in IoT devices. There are...
[ { "created": "Mon, 26 Sep 2022 14:46:38 GMT", "version": "v1" } ]
2022-09-27
[ [ "Mosteiro-Sanchez", "Aintzane", "" ], [ "Barcelo", "Marc", "" ], [ "Astorga", "Jasone", "" ], [ "Urbieta", "Aitor", "" ] ]
Attribute-based encryption (ABE) comprises a set of one-to-many encryption schemes that allow the encryption and decryption of data by associating it with access policies and attributes. Therefore, it is an asymmetric encryption scheme, and its computational requirements limit its deployment in IoT devices. There are d...
2405.19802
Shuyuan Liu
Shuyuan Liu, Jiawei Chen, Shouwei Ruan, Hang Su, Zhaoxia Yin
Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models
null
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Embodied intelligence empowers agents with a profound sense of perception, enabling them to respond in a manner closely aligned with real-world situations. Large Language Models (LLMs) delve into language instructions with depth, serving a crucial role in generating plans for intricate tasks. Thus, LLM-based embodied...
[ { "created": "Thu, 30 May 2024 08:12:08 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2024 12:55:12 GMT", "version": "v2" }, { "created": "Tue, 16 Jul 2024 14:43:51 GMT", "version": "v3" } ]
2024-07-17
[ [ "Liu", "Shuyuan", "" ], [ "Chen", "Jiawei", "" ], [ "Ruan", "Shouwei", "" ], [ "Su", "Hang", "" ], [ "Yin", "Zhaoxia", "" ] ]
Embodied intelligence empowers agents with a profound sense of perception, enabling them to respond in a manner closely aligned with real-world situations. Large Language Models (LLMs) delve into language instructions with depth, serving a crucial role in generating plans for intricate tasks. Thus, LLM-based embodied m...
2211.08180
Ferdinando Zullo
Olga Polverino, Paolo Santonastaso, John Sheekey and Ferdinando Zullo
Divisible linear rank metric codes
null
null
null
null
cs.IT math.CO math.IT
http://creativecommons.org/licenses/by/4.0/
A subspace of matrices over $\mathbb{F}_{q^e}^{m\times n}$ can be naturally embedded as a subspace of matrices in $\mathbb{F}_q^{em\times en}$ with the property that the rank of any of its matrix is a multiple of $e$. It is quite natural to ask whether or not all subspaces of matrices with such a property arise from ...
[ { "created": "Tue, 15 Nov 2022 14:42:09 GMT", "version": "v1" }, { "created": "Wed, 16 Nov 2022 21:01:34 GMT", "version": "v2" } ]
2022-11-18
[ [ "Polverino", "Olga", "" ], [ "Santonastaso", "Paolo", "" ], [ "Sheekey", "John", "" ], [ "Zullo", "Ferdinando", "" ] ]
A subspace of matrices over $\mathbb{F}_{q^e}^{m\times n}$ can be naturally embedded as a subspace of matrices in $\mathbb{F}_q^{em\times en}$ with the property that the rank of any of its matrix is a multiple of $e$. It is quite natural to ask whether or not all subspaces of matrices with such a property arise from a ...
2003.03273
Daniel Buschek
Florian Lehmann, Daniel Buschek
Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life
14 pages, 10 figures, CHI'20
null
10.1145/3313831.3376536
null
cs.HC eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper reports on an in-depth study of electrocardiogram (ECG) biometrics in everyday life. We collected ECG data from 20 people over a week, using a non-medical chest tracker. We evaluated user identification accuracy in several scenarios and observed equal error rates of 9.15% to 21.91%, heavily depending on 1)...
[ { "created": "Fri, 6 Mar 2020 15:18:52 GMT", "version": "v1" } ]
2020-03-09
[ [ "Lehmann", "Florian", "" ], [ "Buschek", "Daniel", "" ] ]
This paper reports on an in-depth study of electrocardiogram (ECG) biometrics in everyday life. We collected ECG data from 20 people over a week, using a non-medical chest tracker. We evaluated user identification accuracy in several scenarios and observed equal error rates of 9.15% to 21.91%, heavily depending on 1) t...
2106.12645
Zachary Eberhart
Zachary Eberhart, Aakash Bansal, Collin McMillan
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant
null
null
10.1109/TSE.2020.3040935
null
cs.SE cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Virtual Assistant technology is rapidly proliferating to improve productivity in a variety of tasks. While several virtual assistants for everyday tasks are well-known (e.g., Siri, Cortana, Alexa), assistants for specialty tasks such as software engineering are rarer. One key reason software engineering assistants ar...
[ { "created": "Wed, 23 Jun 2021 20:04:38 GMT", "version": "v1" } ]
2021-06-25
[ [ "Eberhart", "Zachary", "" ], [ "Bansal", "Aakash", "" ], [ "McMillan", "Collin", "" ] ]
Virtual Assistant technology is rapidly proliferating to improve productivity in a variety of tasks. While several virtual assistants for everyday tasks are well-known (e.g., Siri, Cortana, Alexa), assistants for specialty tasks such as software engineering are rarer. One key reason software engineering assistants are ...
2306.17492
Feifan Song
Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li and Houfeng Wang
Preference Ranking Optimization for Human Alignment
Accepted by AAAI 2024
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secure AI systems. Reinforcement learning from human feedback (RLHF) has been employed to achieve this alignment. However, it encompasses two main drawbacks: (1) RLHF exhibits complexity, inst...
[ { "created": "Fri, 30 Jun 2023 09:07:37 GMT", "version": "v1" }, { "created": "Tue, 27 Feb 2024 18:42:42 GMT", "version": "v2" } ]
2024-02-28
[ [ "Song", "Feifan", "" ], [ "Yu", "Bowen", "" ], [ "Li", "Minghao", "" ], [ "Yu", "Haiyang", "" ], [ "Huang", "Fei", "" ], [ "Li", "Yongbin", "" ], [ "Wang", "Houfeng", "" ] ]
Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secure AI systems. Reinforcement learning from human feedback (RLHF) has been employed to achieve this alignment. However, it encompasses two main drawbacks: (1) RLHF exhibits complexity, instab...
2302.08266
Xiao Chen
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li
Fairly Adaptive Negative Sampling for Recommendations
Accepted by TheWebConf2023
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pairwise learning strategies are prevalent for optimizing recommendation models on implicit feedback data, which usually learns user preference by discriminating between positive (i.e., clicked by a user) and negative items (i.e., obtained by negative sampling). However, the size of different item groups (specified b...
[ { "created": "Thu, 16 Feb 2023 12:44:47 GMT", "version": "v1" } ]
2023-02-17
[ [ "Chen", "Xiao", "" ], [ "Fan", "Wenqi", "" ], [ "Chen", "Jingfan", "" ], [ "Liu", "Haochen", "" ], [ "Liu", "Zitao", "" ], [ "Zhang", "Zhaoxiang", "" ], [ "Li", "Qing", "" ] ]
Pairwise learning strategies are prevalent for optimizing recommendation models on implicit feedback data, which usually learns user preference by discriminating between positive (i.e., clicked by a user) and negative items (i.e., obtained by negative sampling). However, the size of different item groups (specified by ...
1807.11034
Wei Dong
Wei Dong, Qiuyuan Wang, Xin Wang, Hongbin Zha
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction
Accepted to ECCV 2018
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel 3D spatial representation for data fusion and scene reconstruction. Probabilistic Signed Distance Function (Probabilistic SDF, PSDF) is proposed to depict uncertainties in the 3D space. It is modeled by a joint distribution describing SDF value and its inlier probability, reflecting input data qual...
[ { "created": "Sun, 29 Jul 2018 10:10:12 GMT", "version": "v1" } ]
2018-07-31
[ [ "Dong", "Wei", "" ], [ "Wang", "Qiuyuan", "" ], [ "Wang", "Xin", "" ], [ "Zha", "Hongbin", "" ] ]
We propose a novel 3D spatial representation for data fusion and scene reconstruction. Probabilistic Signed Distance Function (Probabilistic SDF, PSDF) is proposed to depict uncertainties in the 3D space. It is modeled by a joint distribution describing SDF value and its inlier probability, reflecting input data qualit...
2404.06970
Peipei Liu
Peipei Liu, Gaosheng Wang, Ying Tong, Jian Liang, Zhenquan Ding, Hongsong Zhu
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Few-shot named entity recognition can identify new types of named entities based on a few labeled examples. Previous methods employing token-level or span-level metric learning suffer from the computational burden and a large number of negative sample spans. In this paper, we propose the Hybrid Multi-stage Decoding f...
[ { "created": "Wed, 10 Apr 2024 12:31:09 GMT", "version": "v1" } ]
2024-04-11
[ [ "Liu", "Peipei", "" ], [ "Wang", "Gaosheng", "" ], [ "Tong", "Ying", "" ], [ "Liang", "Jian", "" ], [ "Ding", "Zhenquan", "" ], [ "Zhu", "Hongsong", "" ] ]
Few-shot named entity recognition can identify new types of named entities based on a few labeled examples. Previous methods employing token-level or span-level metric learning suffer from the computational burden and a large number of negative sample spans. In this paper, we propose the Hybrid Multi-stage Decoding for...
2303.04837
Rebecca Dorn
Rebecca Dorn, Negar Mokhberian, Julie Jiang, Jeremy Abramson, Fred Morstatter, Kristina Lerman
Non-Binary Gender Expression in Online Interactions
null
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
Many openly non-binary gender individuals participate in social networks. However, the relationship between gender and online interactions is not well understood, which may result in disparate treatment by large language models. We investigate individual identity on Twitter, focusing on gender expression as represent...
[ { "created": "Wed, 8 Mar 2023 19:16:57 GMT", "version": "v1" }, { "created": "Wed, 13 Sep 2023 00:19:29 GMT", "version": "v2" } ]
2023-09-14
[ [ "Dorn", "Rebecca", "" ], [ "Mokhberian", "Negar", "" ], [ "Jiang", "Julie", "" ], [ "Abramson", "Jeremy", "" ], [ "Morstatter", "Fred", "" ], [ "Lerman", "Kristina", "" ] ]
Many openly non-binary gender individuals participate in social networks. However, the relationship between gender and online interactions is not well understood, which may result in disparate treatment by large language models. We investigate individual identity on Twitter, focusing on gender expression as represented...
1601.04980
Lu\'is Cruz-Filipe
Lu\'is Cruz-Filipe, Isabel Nunes and Peter Schneider-Kamp
Integrity Constraints for General-Purpose Knowledge Bases
FoIKS 2016
null
10.1007/978-3-319-30024-5_13
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrity constraints in databases have been studied extensively since the 1980s, and they are considered essential to guarantee database integrity. In recent years, several authors have studied how the same notion can be adapted to reasoning frameworks, in such a way that they achieve the purpose of guaranteeing a s...
[ { "created": "Tue, 19 Jan 2016 16:24:43 GMT", "version": "v1" } ]
2017-08-09
[ [ "Cruz-Filipe", "Luís", "" ], [ "Nunes", "Isabel", "" ], [ "Schneider-Kamp", "Peter", "" ] ]
Integrity constraints in databases have been studied extensively since the 1980s, and they are considered essential to guarantee database integrity. In recent years, several authors have studied how the same notion can be adapted to reasoning frameworks, in such a way that they achieve the purpose of guaranteeing a sys...
1802.01144
Cewu Lu
Bo Pang, Kaiwen Zha, Cewu Lu
Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the first benchmark for a new problem --- recognizing human action adverbs (HAA): "Adverbs Describing Human Actions" (ADHA). This is the first step for computer vision to change over from pattern recognition to real AI. We demonstrate some key features of ADHA: a semantically complete set of adverbs desc...
[ { "created": "Sun, 4 Feb 2018 15:25:52 GMT", "version": "v1" }, { "created": "Mon, 12 Feb 2018 06:49:38 GMT", "version": "v2" } ]
2018-02-13
[ [ "Pang", "Bo", "" ], [ "Zha", "Kaiwen", "" ], [ "Lu", "Cewu", "" ] ]
We introduce the first benchmark for a new problem --- recognizing human action adverbs (HAA): "Adverbs Describing Human Actions" (ADHA). This is the first step for computer vision to change over from pattern recognition to real AI. We demonstrate some key features of ADHA: a semantically complete set of adverbs descri...
1703.00659
Marco Carbone
Mario Bravetti and Marco Carbone and Gianluigi Zavattaro
On the Boundary between Decidability and Undecidability of Asynchronous Session Subtyping
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Session types are behavioural types for guaranteeing that concurrent programs are free from basic communication errors. Recent work has shown that asynchronous session subtyping is undecidable. However, since session types have become popular in mainstream programming languages in which asynchronous communication is ...
[ { "created": "Thu, 2 Mar 2017 08:14:33 GMT", "version": "v1" }, { "created": "Fri, 9 Feb 2018 09:41:17 GMT", "version": "v2" }, { "created": "Mon, 12 Feb 2018 09:28:35 GMT", "version": "v3" } ]
2018-02-13
[ [ "Bravetti", "Mario", "" ], [ "Carbone", "Marco", "" ], [ "Zavattaro", "Gianluigi", "" ] ]
Session types are behavioural types for guaranteeing that concurrent programs are free from basic communication errors. Recent work has shown that asynchronous session subtyping is undecidable. However, since session types have become popular in mainstream programming languages in which asynchronous communication is th...
2302.05382
Elizabeth Baker
Elizabeth Baker and Thomas Besnier and Stefan Sommer
A function space perspective on stochastic shape evolution
null
null
null
null
cs.CV math.PR
http://creativecommons.org/licenses/by/4.0/
Modelling randomness in shape data, for example, the evolution of shapes of organisms in biology, requires stochastic models of shapes. This paper presents a new stochastic shape model based on a description of shapes as functions in a Sobolev space. Using an explicit orthonormal basis as a reference frame for the no...
[ { "created": "Fri, 10 Feb 2023 17:10:32 GMT", "version": "v1" } ]
2023-02-13
[ [ "Baker", "Elizabeth", "" ], [ "Besnier", "Thomas", "" ], [ "Sommer", "Stefan", "" ] ]
Modelling randomness in shape data, for example, the evolution of shapes of organisms in biology, requires stochastic models of shapes. This paper presents a new stochastic shape model based on a description of shapes as functions in a Sobolev space. Using an explicit orthonormal basis as a reference frame for the nois...
2111.11894
Benjamin Sznajder
Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki and Ranit Aharonov
TWEETSUMM -- A Dialog Summarization Dataset for Customer Service
null
Findings of the Association for Computational Linguistics: EMNLP (2021) 245--260
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
In a typical customer service chat scenario, customers contact a support center to ask for help or raise complaints, and human agents try to solve the issues. In most cases, at the end of the conversation, agents are asked to write a short summary emphasizing the problem and the proposed solution, usually for the ben...
[ { "created": "Tue, 23 Nov 2021 14:13:51 GMT", "version": "v1" } ]
2021-11-24
[ [ "Feigenblat", "Guy", "" ], [ "Gunasekara", "Chulaka", "" ], [ "Sznajder", "Benjamin", "" ], [ "Joshi", "Sachindra", "" ], [ "Konopnicki", "David", "" ], [ "Aharonov", "Ranit", "" ] ]
In a typical customer service chat scenario, customers contact a support center to ask for help or raise complaints, and human agents try to solve the issues. In most cases, at the end of the conversation, agents are asked to write a short summary emphasizing the problem and the proposed solution, usually for the benef...
1808.05908
Siddhartha Brahma
Siddhartha Brahma
Improved Language Modeling by Decoding the Past
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Highly regularized LSTMs achieve impressive results on several benchmark datasets in language modeling. We propose a new regularization method based on decoding the last token in the context using the predicted distribution of the next token. This biases the model towards retaining more contextual information, in tur...
[ { "created": "Tue, 14 Aug 2018 18:44:58 GMT", "version": "v1" }, { "created": "Sat, 29 Sep 2018 16:29:06 GMT", "version": "v2" }, { "created": "Thu, 3 Jan 2019 19:23:46 GMT", "version": "v3" }, { "created": "Wed, 23 Jan 2019 19:52:46 GMT", "version": "v4" } ]
2019-01-25
[ [ "Brahma", "Siddhartha", "" ] ]
Highly regularized LSTMs achieve impressive results on several benchmark datasets in language modeling. We propose a new regularization method based on decoding the last token in the context using the predicted distribution of the next token. This biases the model towards retaining more contextual information, in turn ...
1907.00429
He Fang
He Fang, Xianbin Wang, and Stefano Tomasin
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
null
null
null
null
cs.CR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The fifth generation (5G) and beyond wireless networks are critical to support diverse vertical applications by connecting heterogeneous devices and machines, which directly increase vulnerability for various spoofing attacks. Conventional cryptographic and physical layer authentication techniques are facing some cha...
[ { "created": "Sun, 30 Jun 2019 18:36:26 GMT", "version": "v1" }, { "created": "Sun, 28 Jul 2019 00:25:21 GMT", "version": "v2" } ]
2019-07-30
[ [ "Fang", "He", "" ], [ "Wang", "Xianbin", "" ], [ "Tomasin", "Stefano", "" ] ]
The fifth generation (5G) and beyond wireless networks are critical to support diverse vertical applications by connecting heterogeneous devices and machines, which directly increase vulnerability for various spoofing attacks. Conventional cryptographic and physical layer authentication techniques are facing some chall...
2302.05565
Jialing He
Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, and Liehuang Zhu
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks. Leveraging recent progress on deep learning techniques, we design a new neural NILM model Multi-State Dual CNN (MS...
[ { "created": "Sat, 11 Feb 2023 01:56:54 GMT", "version": "v1" } ]
2023-02-14
[ [ "He", "Jialing", "" ], [ "Liu", "Jiamou", "" ], [ "Zhang", "Zijian", "" ], [ "Chen", "Yang", "" ], [ "Liu", "Yiwei", "" ], [ "Khoussainov", "Bakh", "" ], [ "Zhu", "Liehuang", "" ] ]
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks. Leveraging recent progress on deep learning techniques, we design a new neural NILM model Multi-State Dual CNN (MSDC...
1210.6385
Bino John
Guodong Liu, Zhihua Li, Yuefeng Lin, and Bino John
Automated family-based naming of small RNAs for next generation sequencing data using a modified MD5-digest algorithm
12 pages, 1 main table, 3 supplementary information tables
null
null
null
cs.CR q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We developed NameMyGene, a web tool and a stand alone program to easily generate putative family-based names for small RNA sequences so that laboratories can easily organize, analyze, and observe patterns from, the massive amount of data generated by next-generation sequencers. NameMyGene, also applicable to other em...
[ { "created": "Tue, 23 Oct 2012 21:22:16 GMT", "version": "v1" } ]
2012-10-25
[ [ "Liu", "Guodong", "" ], [ "Li", "Zhihua", "" ], [ "Lin", "Yuefeng", "" ], [ "John", "Bino", "" ] ]
We developed NameMyGene, a web tool and a stand alone program to easily generate putative family-based names for small RNA sequences so that laboratories can easily organize, analyze, and observe patterns from, the massive amount of data generated by next-generation sequencers. NameMyGene, also applicable to other emer...
1710.10663
Boris Bukh
Noga Alon, Boris Bukh, Yury Polyanskiy
List-decodable zero-rate codes
20 pages, improved exposition
null
null
null
cs.IT math.CO math.IT
http://creativecommons.org/licenses/by-nc-sa/4.0/
We consider list-decoding in the zero-rate regime for two cases: the binary alphabet and the spherical codes in Euclidean space. Specifically, we study the maximal $\tau \in [0,1]$ for which there exists an arrangement of $M$ balls of relative Hamming radius $\tau$ in the binary hypercube (of arbitrary dimension) wit...
[ { "created": "Sun, 29 Oct 2017 18:29:47 GMT", "version": "v1" }, { "created": "Mon, 14 May 2018 16:18:43 GMT", "version": "v2" } ]
2018-05-15
[ [ "Alon", "Noga", "" ], [ "Bukh", "Boris", "" ], [ "Polyanskiy", "Yury", "" ] ]
We consider list-decoding in the zero-rate regime for two cases: the binary alphabet and the spherical codes in Euclidean space. Specifically, we study the maximal $\tau \in [0,1]$ for which there exists an arrangement of $M$ balls of relative Hamming radius $\tau$ in the binary hypercube (of arbitrary dimension) with ...