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1403.1023
Kobi Cohen
Kobi Cohen and Qing Zhao
Active Hypothesis Testing for Quickest Anomaly Detection
46 pages, 3 figures, part of this work was presented at the Information Theory and Applications (ITA) Workshop, Feb. 2014
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of quickest detection of an anomalous process among M processes is considered. At each time, a subset of the processes can be observed, and the observations from each chosen process follow two different distributions, depending on whether the process is normal or abnormal. The objective is a sequential se...
[ { "created": "Wed, 5 Mar 2014 07:21:05 GMT", "version": "v1" }, { "created": "Wed, 8 Oct 2014 07:38:23 GMT", "version": "v2" } ]
2014-10-09
[ [ "Cohen", "Kobi", "" ], [ "Zhao", "Qing", "" ] ]
The problem of quickest detection of an anomalous process among M processes is considered. At each time, a subset of the processes can be observed, and the observations from each chosen process follow two different distributions, depending on whether the process is normal or abnormal. The objective is a sequential sear...
1709.09013
Jose Oliveira Prof
J.N. Oliveira
Programming from Metaphorisms
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a study of the metaphorism pattern of relational specification, showing how it can be refined into recursive programs. Metaphorisms express input-output relationships which preserve relevant information while at the same time some intended optimization takes place. Text processing, sorting, repres...
[ { "created": "Tue, 19 Sep 2017 15:09:06 GMT", "version": "v1" } ]
2017-09-27
[ [ "Oliveira", "J. N.", "" ] ]
This paper presents a study of the metaphorism pattern of relational specification, showing how it can be refined into recursive programs. Metaphorisms express input-output relationships which preserve relevant information while at the same time some intended optimization takes place. Text processing, sorting, represen...
2408.02684
Guanchao Feng
Guanchao Feng, Dhruv Desai, Stefano Pasquali and Dhagash Mehta
Open Set Recognition for Random Forest
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many real-world classification or recognition tasks, it is often difficult to collect training examples that exhaust all possible classes due to, for example, incomplete knowledge during training or ever changing regimes. Therefore, samples from unknown/novel classes may be encountered in testing/deployment. In su...
[ { "created": "Thu, 1 Aug 2024 04:21:14 GMT", "version": "v1" } ]
2024-08-07
[ [ "Feng", "Guanchao", "" ], [ "Desai", "Dhruv", "" ], [ "Pasquali", "Stefano", "" ], [ "Mehta", "Dhagash", "" ] ]
In many real-world classification or recognition tasks, it is often difficult to collect training examples that exhaust all possible classes due to, for example, incomplete knowledge during training or ever changing regimes. Therefore, samples from unknown/novel classes may be encountered in testing/deployment. In such...
1708.04748
Steven Goldfeder
Steven Goldfeder, Harry Kalodner, Dillon Reisman, Arvind Narayanan
When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show how third-party web trackers can deanonymize users of cryptocurrencies. We present two distinct but complementary attacks. On most shopping websites, third party trackers receive information about user purchases for purposes of advertising and analytics. We show that, if the user pays using a cryptocurrency, ...
[ { "created": "Wed, 16 Aug 2017 02:18:03 GMT", "version": "v1" } ]
2017-08-17
[ [ "Goldfeder", "Steven", "" ], [ "Kalodner", "Harry", "" ], [ "Reisman", "Dillon", "" ], [ "Narayanan", "Arvind", "" ] ]
We show how third-party web trackers can deanonymize users of cryptocurrencies. We present two distinct but complementary attacks. On most shopping websites, third party trackers receive information about user purchases for purposes of advertising and analytics. We show that, if the user pays using a cryptocurrency, tr...
1904.12427
Nicole Wein
Shay Solomon and Nicole Wein
Improved Dynamic Graph Coloring
Appeared in ESA 2018
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the fundamental problem of graph coloring in fully dynamic graphs. Since the problem of computing an optimal coloring, or even approximating it to within $n^{1-\epsilon}$ for any $\epsilon > 0$, is NP-hard in static graphs, there is no hope to achieve any meaningful computational results for genera...
[ { "created": "Mon, 29 Apr 2019 02:45:41 GMT", "version": "v1" }, { "created": "Wed, 22 Jan 2020 18:07:01 GMT", "version": "v2" }, { "created": "Fri, 19 Jun 2020 18:44:31 GMT", "version": "v3" } ]
2020-06-23
[ [ "Solomon", "Shay", "" ], [ "Wein", "Nicole", "" ] ]
This paper studies the fundamental problem of graph coloring in fully dynamic graphs. Since the problem of computing an optimal coloring, or even approximating it to within $n^{1-\epsilon}$ for any $\epsilon > 0$, is NP-hard in static graphs, there is no hope to achieve any meaningful computational results for general ...
2408.00355
Yu Xie
Yu Xie, Qian Qiao, Jun Gao, Tianxiang Wu, Shaoyao Huang, Jiaqing Fan, Ziqiang Cao, Zili Wang, Yue Zhang, Jielei Zhang, Huyang Sun
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training
Accepted by ACMMM2024
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
More and more end-to-end text spotting methods based on Transformer architecture have demonstrated superior performance. These methods utilize a bipartite graph matching algorithm to perform one-to-one optimal matching between predicted objects and actual objects. However, the instability of bipartite graph matching ...
[ { "created": "Thu, 1 Aug 2024 07:52:07 GMT", "version": "v1" } ]
2024-08-02
[ [ "Xie", "Yu", "" ], [ "Qiao", "Qian", "" ], [ "Gao", "Jun", "" ], [ "Wu", "Tianxiang", "" ], [ "Huang", "Shaoyao", "" ], [ "Fan", "Jiaqing", "" ], [ "Cao", "Ziqiang", "" ], [ "Wang", "Zili", ...
More and more end-to-end text spotting methods based on Transformer architecture have demonstrated superior performance. These methods utilize a bipartite graph matching algorithm to perform one-to-one optimal matching between predicted objects and actual objects. However, the instability of bipartite graph matching ca...
1312.4853
Philip Healy
Philip Healy, Stefan Meyer, John Morrison, Theo Lynn, Ashkan Paya, Dan C. Marinescu
Bid-Centric Cloud Service Provisioning
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bid-centric service descriptions have the potential to offer a new cloud service provisioning model that promotes portability, diversity of choice and differentiation between providers. A bid matching model based on requirements and capabilities is presented that provides the basis for such an approach. In order to f...
[ { "created": "Tue, 17 Dec 2013 16:33:14 GMT", "version": "v1" } ]
2013-12-18
[ [ "Healy", "Philip", "" ], [ "Meyer", "Stefan", "" ], [ "Morrison", "John", "" ], [ "Lynn", "Theo", "" ], [ "Paya", "Ashkan", "" ], [ "Marinescu", "Dan C.", "" ] ]
Bid-centric service descriptions have the potential to offer a new cloud service provisioning model that promotes portability, diversity of choice and differentiation between providers. A bid matching model based on requirements and capabilities is presented that provides the basis for such an approach. In order to fac...
2208.08015
Huali Xu
Huali Xu, Shuaifeng Zhi, Li Liu
Cross-Domain Few-Shot Classification via Inter-Source Stylization
5 pages
Published at ICIP 2023
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The goal of Cross-Domain Few-Shot Classification (CDFSC) is to accurately classify a target dataset with limited labelled data by exploiting the knowledge of a richly labelled auxiliary dataset, despite the differences between the domains of the two datasets. Some existing approaches require labelled samples from mul...
[ { "created": "Wed, 17 Aug 2022 01:44:32 GMT", "version": "v1" }, { "created": "Tue, 29 Aug 2023 09:05:58 GMT", "version": "v2" } ]
2023-08-30
[ [ "Xu", "Huali", "" ], [ "Zhi", "Shuaifeng", "" ], [ "Liu", "Li", "" ] ]
The goal of Cross-Domain Few-Shot Classification (CDFSC) is to accurately classify a target dataset with limited labelled data by exploiting the knowledge of a richly labelled auxiliary dataset, despite the differences between the domains of the two datasets. Some existing approaches require labelled samples from multi...
2211.05213
Shengchao Liu
Shengchao Liu, David Vazquez, Jian Tang, Pierre-Andr\'e No\"el
Flaky Performances when Pretraining on Relational Databases
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore the downstream task performances for graph neural network (GNN) self-supervised learning (SSL) methods trained on subgraphs extracted from relational databases (RDBs). Intuitively, this joint use of SSL and GNNs should allow to leverage more of the available data, which could translate to better results. H...
[ { "created": "Wed, 9 Nov 2022 21:50:41 GMT", "version": "v1" } ]
2023-02-10
[ [ "Liu", "Shengchao", "" ], [ "Vazquez", "David", "" ], [ "Tang", "Jian", "" ], [ "Noël", "Pierre-André", "" ] ]
We explore the downstream task performances for graph neural network (GNN) self-supervised learning (SSL) methods trained on subgraphs extracted from relational databases (RDBs). Intuitively, this joint use of SSL and GNNs should allow to leverage more of the available data, which could translate to better results. How...
2205.04550
Ivan Ezhov
Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes Paetzold, Kevin Scibilia, Leon Maechler, Katharina Franitza, Tamaz Amiranashvili, Martin J. Menten, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern Menze
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Solving the inverse problem is the key step in evaluating the capacity of a physical model to describe real phenomena. In medical image computing, it aligns with the classical theme of image-based model personalization. Traditionally, a solution to the problem is obtained by performing either sampling or variational ...
[ { "created": "Mon, 9 May 2022 20:53:01 GMT", "version": "v1" }, { "created": "Wed, 11 May 2022 12:58:08 GMT", "version": "v2" }, { "created": "Mon, 11 Jul 2022 16:17:17 GMT", "version": "v3" } ]
2022-07-12
[ [ "Ezhov", "Ivan", "" ], [ "Rosier", "Marcel", "" ], [ "Zimmer", "Lucas", "" ], [ "Kofler", "Florian", "" ], [ "Shit", "Suprosanna", "" ], [ "Paetzold", "Johannes", "" ], [ "Scibilia", "Kevin", "" ], [ ...
Solving the inverse problem is the key step in evaluating the capacity of a physical model to describe real phenomena. In medical image computing, it aligns with the classical theme of image-based model personalization. Traditionally, a solution to the problem is obtained by performing either sampling or variational in...
cs/0609013
Frederic Blanqui
Fr\'ed\'eric Blanqui (INRIA Lorraine - LORIA), Colin Riba (INRIA Lorraine - LORIA)
Combining typing and size constraints for checking the termination of higher-order conditional rewrite systems
null
Dans 13th International Conference on Logic for Programming, Artificial Intelligence and Reasoning - LPAR 2006
null
null
cs.LO
null
In a previous work, the first author extended to higher-order rewriting and dependent types the use of size annotations in types, a termination proof technique called type or size based termination and initially developed for ML-like programs. Here, we go one step further by considering conditional rewriting and expl...
[ { "created": "Tue, 5 Sep 2006 14:23:38 GMT", "version": "v1" }, { "created": "Mon, 11 Sep 2006 11:57:50 GMT", "version": "v2" } ]
2016-08-16
[ [ "Blanqui", "Frédéric", "", "INRIA Lorraine - LORIA" ], [ "Riba", "Colin", "", "INRIA\n Lorraine - LORIA" ] ]
In a previous work, the first author extended to higher-order rewriting and dependent types the use of size annotations in types, a termination proof technique called type or size based termination and initially developed for ML-like programs. Here, we go one step further by considering conditional rewriting and explic...
2208.08235
Rahul Gopinath
Lukas Kirschner, Ezekiel Soremekun, Rahul Gopinath, Andreas Zeller
Input Repair via Synthesis and Lightweight Error Feedback
null
null
null
null
cs.SE cs.PL
http://creativecommons.org/licenses/by/4.0/
Often times, input data may ostensibly conform to a given input format, but cannot be parsed by a conforming program, for instance, due to human error or data corruption. In such cases, a data engineer is tasked with input repair, i.e., she has to manually repair the corrupt data such that it follows a given format, ...
[ { "created": "Wed, 17 Aug 2022 11:29:16 GMT", "version": "v1" } ]
2022-08-18
[ [ "Kirschner", "Lukas", "" ], [ "Soremekun", "Ezekiel", "" ], [ "Gopinath", "Rahul", "" ], [ "Zeller", "Andreas", "" ] ]
Often times, input data may ostensibly conform to a given input format, but cannot be parsed by a conforming program, for instance, due to human error or data corruption. In such cases, a data engineer is tasked with input repair, i.e., she has to manually repair the corrupt data such that it follows a given format, an...
1909.09251
Eric Wallace
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
EMNLP 2019 Demo
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural NLP models are increasingly accurate but are imperfect and opaque---they break in counterintuitive ways and leave end users puzzled at their behavior. Model interpretation methods ameliorate this opacity by providing explanations for specific model predictions. Unfortunately, existing interpretation codebases ...
[ { "created": "Thu, 19 Sep 2019 22:35:36 GMT", "version": "v1" } ]
2019-09-23
[ [ "Wallace", "Eric", "" ], [ "Tuyls", "Jens", "" ], [ "Wang", "Junlin", "" ], [ "Subramanian", "Sanjay", "" ], [ "Gardner", "Matt", "" ], [ "Singh", "Sameer", "" ] ]
Neural NLP models are increasingly accurate but are imperfect and opaque---they break in counterintuitive ways and leave end users puzzled at their behavior. Model interpretation methods ameliorate this opacity by providing explanations for specific model predictions. Unfortunately, existing interpretation codebases ma...
1502.03163
Yuancheng Luo
Yuancheng Luo, Dmitry N. Zotkin, Ramani Duraiswami
Gaussian Process Models for HRTF based Sound-Source Localization and Active-Learning
11 pages
null
null
null
cs.SD cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
From a machine learning perspective, the human ability localize sounds can be modeled as a non-parametric and non-linear regression problem between binaural spectral features of sound received at the ears (input) and their sound-source directions (output). The input features can be summarized in terms of the individu...
[ { "created": "Wed, 11 Feb 2015 00:55:14 GMT", "version": "v1" } ]
2015-02-12
[ [ "Luo", "Yuancheng", "" ], [ "Zotkin", "Dmitry N.", "" ], [ "Duraiswami", "Ramani", "" ] ]
From a machine learning perspective, the human ability localize sounds can be modeled as a non-parametric and non-linear regression problem between binaural spectral features of sound received at the ears (input) and their sound-source directions (output). The input features can be summarized in terms of the individual...
1707.06126
Hendrik Fichtenberger
Hendrik Fichtenberger, Reut Levi, Yadu Vasudev, Maximilian W\"otzel
A Sublinear Tester for Outerplanarity (and Other Forbidden Minors) With One-Sided Error
extended to testing outerplanarity, full version of ICALP paper
45th International Colloquium on Automata, Languages, and Programming (ICALP), pages 52:1-52:14, 2018
10.4230/LIPIcs.ICALP.2018.52
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider one-sided error property testing of $\mathcal{F}$-minor freeness in bounded-degree graphs for any finite family of graphs $\mathcal{F}$ that contains a minor of $K_{2,k}$, the $k$-circus graph, or the $(k\times 2)$-grid for any $k\in\mathbb{N}$. This includes, for instance, testing whether a graph is oute...
[ { "created": "Wed, 19 Jul 2017 14:44:55 GMT", "version": "v1" }, { "created": "Thu, 20 Jul 2017 12:31:46 GMT", "version": "v2" }, { "created": "Fri, 23 Feb 2018 12:16:38 GMT", "version": "v3" }, { "created": "Wed, 8 Aug 2018 08:07:45 GMT", "version": "v4" } ]
2018-08-09
[ [ "Fichtenberger", "Hendrik", "" ], [ "Levi", "Reut", "" ], [ "Vasudev", "Yadu", "" ], [ "Wötzel", "Maximilian", "" ] ]
We consider one-sided error property testing of $\mathcal{F}$-minor freeness in bounded-degree graphs for any finite family of graphs $\mathcal{F}$ that contains a minor of $K_{2,k}$, the $k$-circus graph, or the $(k\times 2)$-grid for any $k\in\mathbb{N}$. This includes, for instance, testing whether a graph is outerp...
2312.06532
Giacomo Pedretti
Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti
RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration
null
null
null
null
cs.AR cs.ET cs.LG
http://creativecommons.org/licenses/by/4.0/
Transformer models represent the cutting edge of Deep Neural Networks (DNNs) and excel in a wide range of machine learning tasks. However, processing these models demands significant computational resources and results in a substantial memory footprint. While In-memory Computing (IMC) offers promise for accelerating ...
[ { "created": "Wed, 29 Nov 2023 22:45:39 GMT", "version": "v1" } ]
2023-12-12
[ [ "Zhao", "Lei", "" ], [ "Buonanno", "Luca", "" ], [ "Roth", "Ron M.", "" ], [ "Serebryakov", "Sergey", "" ], [ "Gajjar", "Archit", "" ], [ "Moon", "John", "" ], [ "Ignowski", "Jim", "" ], [ "Pedretti...
Transformer models represent the cutting edge of Deep Neural Networks (DNNs) and excel in a wide range of machine learning tasks. However, processing these models demands significant computational resources and results in a substantial memory footprint. While In-memory Computing (IMC) offers promise for accelerating Ma...
2102.11345
Alberto Purpura
Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto
Neural Feature Selection for Learning to Rank
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
LEarning TO Rank (LETOR) is a research area in the field of Information Retrieval (IR) where machine learning models are employed to rank a set of items. In the past few years, neural LETOR approaches have become a competitive alternative to traditional ones like LambdaMART. However, neural architectures performance ...
[ { "created": "Mon, 22 Feb 2021 20:38:41 GMT", "version": "v1" } ]
2021-02-24
[ [ "Purpura", "Alberto", "" ], [ "Buchner", "Karolina", "" ], [ "Silvello", "Gianmaria", "" ], [ "Susto", "Gian Antonio", "" ] ]
LEarning TO Rank (LETOR) is a research area in the field of Information Retrieval (IR) where machine learning models are employed to rank a set of items. In the past few years, neural LETOR approaches have become a competitive alternative to traditional ones like LambdaMART. However, neural architectures performance gr...
2402.13936
Antoine Chaffin
Antoine Chaffin, Ewa Kijak, Vincent Claveau
Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement Learning
null
null
null
null
cs.CL cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Training image captioning models using teacher forcing results in very generic samples, whereas more distinctive captions can be very useful in retrieval applications or to produce alternative texts describing images for accessibility. Reinforcement Learning (RL) allows to use cross-modal retrieval similarity score b...
[ { "created": "Wed, 21 Feb 2024 17:05:06 GMT", "version": "v1" } ]
2024-02-22
[ [ "Chaffin", "Antoine", "" ], [ "Kijak", "Ewa", "" ], [ "Claveau", "Vincent", "" ] ]
Training image captioning models using teacher forcing results in very generic samples, whereas more distinctive captions can be very useful in retrieval applications or to produce alternative texts describing images for accessibility. Reinforcement Learning (RL) allows to use cross-modal retrieval similarity score bet...
2402.19416
Filipe Borges Teixeira
Filipe B. Teixeira, Manuel Ricardo, Andr\'e Coelho, H\'elder P. Oliveira, Paula Viana, Nuno Paulino, Helder Fontes, Paulo Marques, Rui Campos, and Luis M. Pessoa
Vision-Radio Experimental Infrastructure Architecture Towards 6G
6 pages, 5 figures
null
null
null
cs.NI eess.SP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Telecommunications and computer vision have evolved separately so far. Yet, with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio communications, there is an opportunity to explore computer vision technologies together with radio communications, considering the dependency of both technologies on Line of...
[ { "created": "Thu, 29 Feb 2024 18:14:11 GMT", "version": "v1" }, { "created": "Fri, 12 Apr 2024 13:45:21 GMT", "version": "v2" } ]
2024-04-15
[ [ "Teixeira", "Filipe B.", "" ], [ "Ricardo", "Manuel", "" ], [ "Coelho", "André", "" ], [ "Oliveira", "Hélder P.", "" ], [ "Viana", "Paula", "" ], [ "Paulino", "Nuno", "" ], [ "Fontes", "Helder", "" ], [...
Telecommunications and computer vision have evolved separately so far. Yet, with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio communications, there is an opportunity to explore computer vision technologies together with radio communications, considering the dependency of both technologies on Line of S...
2306.01980
Siyu Teng
Long Chen, Siyu Teng, Bai Li, Xiaoxiang Na, Yuchen Li, Zixuan Li, Jinjun Wang, Dongpu Cao, Nanning Zheng, and Fei-Yue Wang
Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning
17pages, 6figures. IEEE Transactions on Systems, Man, and Cybernetics: Systems. arXiv admin note: text overlap with arXiv:2303.09824
null
10.1109/TSMC.2023.3283021.
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits. While previous surveys have captured progress in this field, a comprehensive and forward-looking summary is needed. Our work fills this gap through three distin...
[ { "created": "Sat, 3 Jun 2023 02:23:04 GMT", "version": "v1" } ]
2023-06-12
[ [ "Chen", "Long", "" ], [ "Teng", "Siyu", "" ], [ "Li", "Bai", "" ], [ "Na", "Xiaoxiang", "" ], [ "Li", "Yuchen", "" ], [ "Li", "Zixuan", "" ], [ "Wang", "Jinjun", "" ], [ "Cao", "Dongpu", "" ...
Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits. While previous surveys have captured progress in this field, a comprehensive and forward-looking summary is needed. Our work fills this gap through three distinct...
1707.07872
Ki Yung Ahn
Ki Yung Ahn
An Executable Specification of Typing Rules for Extensible Records based on Row Polymorphism
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Type inference is an application domain that is a natural fit for logic programming (LP). LP systems natively support unification, which serves as a basic building block of typical type inference algorithms. In particular, polymorphic type inference in the Hindley--Milner type system (HM) can be succinctly specified ...
[ { "created": "Tue, 25 Jul 2017 09:36:10 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2017 02:57:44 GMT", "version": "v2" } ]
2017-09-13
[ [ "Ahn", "Ki Yung", "" ] ]
Type inference is an application domain that is a natural fit for logic programming (LP). LP systems natively support unification, which serves as a basic building block of typical type inference algorithms. In particular, polymorphic type inference in the Hindley--Milner type system (HM) can be succinctly specified an...
2209.08614
Megan Witherow
Megan A. Witherow, Manar D. Samad, Norou Diawara, Haim Y. Bar, and Khan M. Iftekharuddin
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
12 pages, 10 figures
IEEE Transactions on Affective Computing, 2023
10.1109/TAFFC.2023.3297075
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Imaging of facial affects may be used to measure psychophysiological attributes of children through their adulthood for applications in education, healthcare, and entertainment, among others. Deep convolutional neural networks show promising results in classifying facial expressions of adults. However, classifier mod...
[ { "created": "Sun, 18 Sep 2022 17:29:36 GMT", "version": "v1" }, { "created": "Tue, 12 Mar 2024 20:31:49 GMT", "version": "v2" } ]
2024-03-15
[ [ "Witherow", "Megan A.", "" ], [ "Samad", "Manar D.", "" ], [ "Diawara", "Norou", "" ], [ "Bar", "Haim Y.", "" ], [ "Iftekharuddin", "Khan M.", "" ] ]
Imaging of facial affects may be used to measure psychophysiological attributes of children through their adulthood for applications in education, healthcare, and entertainment, among others. Deep convolutional neural networks show promising results in classifying facial expressions of adults. However, classifier model...
2209.09513
Pan Lu
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Accepted to NeurIPS 2022. 22 pages, 17 figures, 9 tables. Project: https://scienceqa.github.io
null
null
null
cs.CL cs.AI cs.CV cs.LG cs.MM
http://creativecommons.org/licenses/by/4.0/
When answering a question, humans utilize the information available across different modalities to synthesize a consistent and complete chain of thought (CoT). This process is normally a black box in the case of deep learning models like large-scale language models. Recently, science question benchmarks have been use...
[ { "created": "Tue, 20 Sep 2022 07:04:24 GMT", "version": "v1" }, { "created": "Mon, 17 Oct 2022 07:46:47 GMT", "version": "v2" } ]
2022-10-18
[ [ "Lu", "Pan", "" ], [ "Mishra", "Swaroop", "" ], [ "Xia", "Tony", "" ], [ "Qiu", "Liang", "" ], [ "Chang", "Kai-Wei", "" ], [ "Zhu", "Song-Chun", "" ], [ "Tafjord", "Oyvind", "" ], [ "Clark", "Pe...
When answering a question, humans utilize the information available across different modalities to synthesize a consistent and complete chain of thought (CoT). This process is normally a black box in the case of deep learning models like large-scale language models. Recently, science question benchmarks have been used ...
2309.13925
Tongtong Yuan
Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Chen Chen, Jian Jin, Zhenzhen Jiao
Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Surveillance videos are an essential component of daily life with various critical applications, particularly in public security. However, current surveillance video tasks mainly focus on classifying and localizing anomalous events. Existing methods are limited to detecting and classifying the predefined events with ...
[ { "created": "Mon, 25 Sep 2023 07:46:56 GMT", "version": "v1" }, { "created": "Mon, 4 Dec 2023 13:34:01 GMT", "version": "v2" } ]
2023-12-05
[ [ "Yuan", "Tongtong", "" ], [ "Zhang", "Xuange", "" ], [ "Liu", "Kun", "" ], [ "Liu", "Bo", "" ], [ "Chen", "Chen", "" ], [ "Jin", "Jian", "" ], [ "Jiao", "Zhenzhen", "" ] ]
Surveillance videos are an essential component of daily life with various critical applications, particularly in public security. However, current surveillance video tasks mainly focus on classifying and localizing anomalous events. Existing methods are limited to detecting and classifying the predefined events with un...
2107.00123
Ali Ayub
Ali Ayub, Huiqing Hu, Guangwei Zhou, Carter Fendley, Crystal Ramsay, Kathy Lou Jackson, Alan R. Wagner
If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot
Accepted at IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2021
null
null
null
cs.HC cs.RO
http://creativecommons.org/licenses/by/4.0/
Robots may soon play a role in higher education by augmenting learning environments and managing interactions between instructors and learners. Little, however, is known about how the presence of robots in the learning environment will influence academic integrity. This study therefore investigates if and how college...
[ { "created": "Wed, 30 Jun 2021 22:11:59 GMT", "version": "v1" } ]
2021-07-02
[ [ "Ayub", "Ali", "" ], [ "Hu", "Huiqing", "" ], [ "Zhou", "Guangwei", "" ], [ "Fendley", "Carter", "" ], [ "Ramsay", "Crystal", "" ], [ "Jackson", "Kathy Lou", "" ], [ "Wagner", "Alan R.", "" ] ]
Robots may soon play a role in higher education by augmenting learning environments and managing interactions between instructors and learners. Little, however, is known about how the presence of robots in the learning environment will influence academic integrity. This study therefore investigates if and how college s...
2212.05326
Hai Wu
Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi and Kaibin Huang
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference
Submitted to IEEE for possible publication
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although considerable progress has been obtained in neural network quantization for efficient inference, existing methods are not scalable to heterogeneous devices as one dedicated model needs to be trained, transmitted, and stored for one specific hardware setting, incurring considerable costs in model training and ...
[ { "created": "Sat, 10 Dec 2022 15:57:38 GMT", "version": "v1" } ]
2022-12-13
[ [ "Wu", "Hai", "" ], [ "He", "Ruifei", "" ], [ "Tan", "Haoru", "" ], [ "Qi", "Xiaojuan", "" ], [ "Huang", "Kaibin", "" ] ]
Although considerable progress has been obtained in neural network quantization for efficient inference, existing methods are not scalable to heterogeneous devices as one dedicated model needs to be trained, transmitted, and stored for one specific hardware setting, incurring considerable costs in model training and ma...
1407.7276
Philipp Mayr
Zeljko Carevic, Philipp Mayr
Recommender Systems using Pennant Diagrams in Digital Libraries
3 pages, paper accepted for the 13th European Networked Knowledge Organization Systems (NKOS) Workshop
null
null
null
cs.DL cs.HC cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In digital libraries recommendations can be valuable for researchers, e.g. recommending related literature to a given context. Typically, in a scientific context the simple presentation of related content is not sufficient. Often the users demand a more detailed view on the connection of a document and its specific r...
[ { "created": "Sun, 27 Jul 2014 19:39:55 GMT", "version": "v1" } ]
2014-07-29
[ [ "Carevic", "Zeljko", "" ], [ "Mayr", "Philipp", "" ] ]
In digital libraries recommendations can be valuable for researchers, e.g. recommending related literature to a given context. Typically, in a scientific context the simple presentation of related content is not sufficient. Often the users demand a more detailed view on the connection of a document and its specific rec...
1608.05768
Yuhan Zhou
Yuhan Zhou, Yinfei Xu, Wei Yu, Jun Chen
On Optimal Fronthaul Compression and Decoding Strategies for Uplink Cloud Radio Access Networks
Accepted for publication in IEEE Transactions on Information Theory, 2016
null
10.1109/TIT.2016.2617862
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the compress-and-forward scheme for an uplink cloud radio access network (C-RAN) model, where multi-antenna base-stations (BSs) are connected to a cloud-computing based central processor (CP) via capacity-limited fronthaul links. The BSs compress the received signals with Wyner-Ziv coding and ...
[ { "created": "Sat, 20 Aug 2016 01:31:42 GMT", "version": "v1" }, { "created": "Sun, 28 Aug 2016 20:36:06 GMT", "version": "v2" }, { "created": "Wed, 12 Oct 2016 06:28:17 GMT", "version": "v3" } ]
2016-11-18
[ [ "Zhou", "Yuhan", "" ], [ "Xu", "Yinfei", "" ], [ "Yu", "Wei", "" ], [ "Chen", "Jun", "" ] ]
This paper investigates the compress-and-forward scheme for an uplink cloud radio access network (C-RAN) model, where multi-antenna base-stations (BSs) are connected to a cloud-computing based central processor (CP) via capacity-limited fronthaul links. The BSs compress the received signals with Wyner-Ziv coding and se...
2305.11400
Cat Le
Cat P. Le, Juncheng Dong, Ahmed Aloui, Vahid Tarokh
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
The main challenge in continual learning for generative models is to effectively learn new target modes with limited samples while preserving previously learned ones. To this end, we introduce a new continual learning approach for conditional generative adversarial networks by leveraging a mode-affinity score specifi...
[ { "created": "Fri, 19 May 2023 03:00:31 GMT", "version": "v1" }, { "created": "Tue, 30 May 2023 02:50:45 GMT", "version": "v2" }, { "created": "Sat, 23 Sep 2023 17:27:05 GMT", "version": "v3" } ]
2023-09-26
[ [ "Le", "Cat P.", "" ], [ "Dong", "Juncheng", "" ], [ "Aloui", "Ahmed", "" ], [ "Tarokh", "Vahid", "" ] ]
The main challenge in continual learning for generative models is to effectively learn new target modes with limited samples while preserving previously learned ones. To this end, we introduce a new continual learning approach for conditional generative adversarial networks by leveraging a mode-affinity score specifica...
1504.06314
Siddharth Barman
Siddharth Barman and Katrina Ligett
Finding Any Nontrivial Coarse Correlated Equilibrium Is Hard
21 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the most appealing aspects of the (coarse) correlated equilibrium concept is that natural dynamics quickly arrive at approximations of such equilibria, even in games with many players. In addition, there exist polynomial-time algorithms that compute exact (coarse) correlated equilibria. In light of these resul...
[ { "created": "Thu, 23 Apr 2015 19:54:51 GMT", "version": "v1" } ]
2015-04-24
[ [ "Barman", "Siddharth", "" ], [ "Ligett", "Katrina", "" ] ]
One of the most appealing aspects of the (coarse) correlated equilibrium concept is that natural dynamics quickly arrive at approximations of such equilibria, even in games with many players. In addition, there exist polynomial-time algorithms that compute exact (coarse) correlated equilibria. In light of these results...
2406.19626
Shashank Reddy Chirra
Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
Safety through feedback in Constrained RL
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
In safety-critical RL settings, the inclusion of an additional cost function is often favoured over the arduous task of modifying the reward function to ensure the agent's safe behaviour. However, designing or evaluating such a cost function can be prohibitively expensive. For instance, in the domain of self-driving,...
[ { "created": "Fri, 28 Jun 2024 03:29:33 GMT", "version": "v1" } ]
2024-07-01
[ [ "Chirra", "Shashank Reddy", "" ], [ "Varakantham", "Pradeep", "" ], [ "Paruchuri", "Praveen", "" ] ]
In safety-critical RL settings, the inclusion of an additional cost function is often favoured over the arduous task of modifying the reward function to ensure the agent's safe behaviour. However, designing or evaluating such a cost function can be prohibitively expensive. For instance, in the domain of self-driving, d...
2301.03656
Sajjadur Rahman
Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan
Towards Multifaceted Human-Centered AI
Workshop on Human-Centered AI at NeurIPS 2022
null
null
null
cs.DB cs.AI cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
Human-centered AI workflows involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks. In this paper, we call for a holistic view when designing support mechanisms, such as interaction paradigms, interfaces, and systems, for these multifaceted workflows.
[ { "created": "Mon, 9 Jan 2023 19:56:47 GMT", "version": "v1" } ]
2023-01-11
[ [ "Rahman", "Sajjadur", "" ], [ "Kim", "Hannah", "" ], [ "Zhang", "Dan", "" ], [ "Hruschka", "Estevam", "" ], [ "Kandogan", "Eser", "" ] ]
Human-centered AI workflows involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks. In this paper, we call for a holistic view when designing support mechanisms, such as interaction paradigms, interfaces, and systems, for these multifaceted workflows.
2210.05840
Jielin Qiu
Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Livestream videos have become a significant part of online learning, where design, digital marketing, creative painting, and other skills are taught by experienced experts in the sessions, making them valuable materials. However, Livestream tutorial videos are usually hours long, recorded, and uploaded to the Interne...
[ { "created": "Wed, 12 Oct 2022 00:08:17 GMT", "version": "v1" } ]
2022-10-13
[ [ "Qiu", "Jielin", "" ], [ "Dernoncourt", "Franck", "" ], [ "Bui", "Trung", "" ], [ "Wang", "Zhaowen", "" ], [ "Zhao", "Ding", "" ], [ "Jin", "Hailin", "" ] ]
Livestream videos have become a significant part of online learning, where design, digital marketing, creative painting, and other skills are taught by experienced experts in the sessions, making them valuable materials. However, Livestream tutorial videos are usually hours long, recorded, and uploaded to the Internet ...
2402.06820
Tiago Mendes-Neves
Tiago Mendes-Neves, Lu\'is Meireles, Jo\~ao Mendes-Moreira
Forecasting Events in Soccer Matches Through Language
null
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by/4.0/
This paper introduces an approach to predicting the next event in a soccer match, a challenge bearing remarkable similarities to the problem faced by Large Language Models (LLMs). Unlike other methods that severely limit event dynamics in soccer, often abstracting from many variables or relying on a mix of sequential...
[ { "created": "Fri, 9 Feb 2024 23:02:57 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2024 11:45:02 GMT", "version": "v2" } ]
2024-04-29
[ [ "Mendes-Neves", "Tiago", "" ], [ "Meireles", "Luís", "" ], [ "Mendes-Moreira", "João", "" ] ]
This paper introduces an approach to predicting the next event in a soccer match, a challenge bearing remarkable similarities to the problem faced by Large Language Models (LLMs). Unlike other methods that severely limit event dynamics in soccer, often abstracting from many variables or relying on a mix of sequential m...
1607.05434
Athanasios Kehagias
Athanasios Kehagias, Georgios Konstantinidis
Selfish Cops and Passive Robber: Qualitative Games
null
null
null
null
cs.DM cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several variants of the cops and robbers (CR) game have been studied in the past. In this paper we examine a novel variant, which is played between two cops, each one independently trying to catch a "passive robber". We will call this the Selfish Cops and Passive Robber {SCPR} game. In short, SCPR is a stochastic two...
[ { "created": "Tue, 19 Jul 2016 07:32:20 GMT", "version": "v1" }, { "created": "Sat, 19 Nov 2016 20:39:16 GMT", "version": "v2" } ]
2016-11-22
[ [ "Kehagias", "Athanasios", "" ], [ "Konstantinidis", "Georgios", "" ] ]
Several variants of the cops and robbers (CR) game have been studied in the past. In this paper we examine a novel variant, which is played between two cops, each one independently trying to catch a "passive robber". We will call this the Selfish Cops and Passive Robber {SCPR} game. In short, SCPR is a stochastic two-p...
2306.12033
Jaemin Yoo
Jaemin Yoo, Lingxiao Zhao, and Leman Akoglu
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Self-supervised learning (SSL) has emerged as a promising paradigm that presents self-generated supervisory signals to real-world problems, bypassing the extensive manual labeling burden. SSL is especially attractive for unsupervised tasks such as anomaly detection, where labeled anomalies are often nonexistent and c...
[ { "created": "Wed, 21 Jun 2023 05:48:51 GMT", "version": "v1" } ]
2023-06-22
[ [ "Yoo", "Jaemin", "" ], [ "Zhao", "Lingxiao", "" ], [ "Akoglu", "Leman", "" ] ]
Self-supervised learning (SSL) has emerged as a promising paradigm that presents self-generated supervisory signals to real-world problems, bypassing the extensive manual labeling burden. SSL is especially attractive for unsupervised tasks such as anomaly detection, where labeled anomalies are often nonexistent and cos...
2003.07424
Lenz Furrer
Lenz Furrer (1 and 3), Joseph Cornelius (1), Fabio Rinaldi (1, 2, and 3) ((1) University of Zurich, Switzerland, (2) Dalle Molle Institute for Artificial Intelligence Research (IDSIA), Switzerland, (3) Swiss Institute of Bioinformatics, Switzerland)
Parallel sequence tagging for concept recognition
14 pages, 5 figures; style changed, sections reordered, minor additions suggested by reviewers
null
null
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background: Named Entity Recognition (NER) and Normalisation (NEN) are core components of any text-mining system for biomedical texts. In a traditional concept-recognition pipeline, these tasks are combined in a serial way, which is inherently prone to error propagation from NER to NEN. We propose a parallel architec...
[ { "created": "Mon, 16 Mar 2020 19:41:07 GMT", "version": "v1" }, { "created": "Sat, 8 Aug 2020 07:54:17 GMT", "version": "v2" } ]
2020-08-11
[ [ "Furrer", "Lenz", "", "1 and 3" ], [ "Cornelius", "Joseph", "", "1, 2, and\n 3" ], [ "Rinaldi", "Fabio", "", "1, 2, and\n 3" ] ]
Background: Named Entity Recognition (NER) and Normalisation (NEN) are core components of any text-mining system for biomedical texts. In a traditional concept-recognition pipeline, these tasks are combined in a serial way, which is inherently prone to error propagation from NER to NEN. We propose a parallel architectu...
1802.10073
Abdelrahman Ibrahim
Abdelrahman M. Ibrahim, Ahmed A. Zewail, and Aylin Yener
On Coded Caching with Heterogeneous Distortion Requirements
To appear in proceedings of ITA 2018 (8 pages, 4 figures)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers heterogeneous coded caching where the users have unequal distortion requirements. The server is connected to the users via an error-free multicast link and designs the users' cache sizes subject to a total memory budget. In particular, in the placement phase, the server jointly designs the users'...
[ { "created": "Tue, 27 Feb 2018 18:55:14 GMT", "version": "v1" } ]
2018-02-28
[ [ "Ibrahim", "Abdelrahman M.", "" ], [ "Zewail", "Ahmed A.", "" ], [ "Yener", "Aylin", "" ] ]
This paper considers heterogeneous coded caching where the users have unequal distortion requirements. The server is connected to the users via an error-free multicast link and designs the users' cache sizes subject to a total memory budget. In particular, in the placement phase, the server jointly designs the users' c...
2310.09736
Ni Putu Intan Maharani
Ni Putu Intan Maharani, Yoga Yustiawan, Fauzy Caesar Rochim, Ayu Purwarianti
Domain-Specific Language Model Post-Training for Indonesian Financial NLP
Accepted in ICEEI 2023 (International Conference on Electrical Engineering and Informatics 2023)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
BERT and IndoBERT have achieved impressive performance in several NLP tasks. There has been several investigation on its adaption in specialized domains especially for English language. We focus on financial domain and Indonesian language, where we perform post-training on pre-trained IndoBERT for financial domain us...
[ { "created": "Sun, 15 Oct 2023 05:07:08 GMT", "version": "v1" } ]
2023-10-17
[ [ "Maharani", "Ni Putu Intan", "" ], [ "Yustiawan", "Yoga", "" ], [ "Rochim", "Fauzy Caesar", "" ], [ "Purwarianti", "Ayu", "" ] ]
BERT and IndoBERT have achieved impressive performance in several NLP tasks. There has been several investigation on its adaption in specialized domains especially for English language. We focus on financial domain and Indonesian language, where we perform post-training on pre-trained IndoBERT for financial domain usin...
1108.0187
Yuedong Xu
Yuedong Xu, Eitan Altman, Rachid El-Azouzi, Majed Haddad, Salaheddine Elayoubi, Tania Jimenez
Analysis of Buffer Starvation with Application to Objective QoE Optimization of Streaming Services
9 pages, 7 figures; IEEE Infocom 2012
null
10.1109/TMM.2014.2300041
null
cs.PF cs.MM cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Our purpose in this paper is to characterize buffer starvations for streaming services. The buffer is modeled as an M/M/1 queue, plus the consideration of bursty arrivals. When the buffer is empty, the service restarts after a certain amount of packets are \emph{prefetched}. With this goal, we propose two approaches ...
[ { "created": "Sun, 31 Jul 2011 16:10:57 GMT", "version": "v1" }, { "created": "Sun, 15 Jan 2012 21:21:15 GMT", "version": "v2" }, { "created": "Mon, 17 Dec 2012 11:01:57 GMT", "version": "v3" }, { "created": "Tue, 6 Aug 2013 14:19:54 GMT", "version": "v4" }, { "cr...
2016-11-15
[ [ "Xu", "Yuedong", "" ], [ "Altman", "Eitan", "" ], [ "El-Azouzi", "Rachid", "" ], [ "Haddad", "Majed", "" ], [ "Elayoubi", "Salaheddine", "" ], [ "Jimenez", "Tania", "" ] ]
Our purpose in this paper is to characterize buffer starvations for streaming services. The buffer is modeled as an M/M/1 queue, plus the consideration of bursty arrivals. When the buffer is empty, the service restarts after a certain amount of packets are \emph{prefetched}. With this goal, we propose two approaches to...
1911.10758
Muhammad Usman
Taha Hasan Masood Siddique, Iqra Sami, Malik Zohaib Nisar, Mashal Naeem, Abid Karim and Muhammad Usman
Low Cost 3D Printing for Rapid Prototyping and its Application
Accepted for oral presentation at 2019 Second International Conference on Latest trends in Electrical Engineering and Computing Technologies (Intellect 2019)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the recent years of industrial revolution, 3D printing has shown to grow as an expanding field of new applications. The low cost solutions and short time to market makes it a favorable candidate to be utilized in the dynamic fields of engineering. Additive printing has the vast range of applications in many fields...
[ { "created": "Mon, 25 Nov 2019 08:25:13 GMT", "version": "v1" } ]
2019-11-26
[ [ "Siddique", "Taha Hasan Masood", "" ], [ "Sami", "Iqra", "" ], [ "Nisar", "Malik Zohaib", "" ], [ "Naeem", "Mashal", "" ], [ "Karim", "Abid", "" ], [ "Usman", "Muhammad", "" ] ]
In the recent years of industrial revolution, 3D printing has shown to grow as an expanding field of new applications. The low cost solutions and short time to market makes it a favorable candidate to be utilized in the dynamic fields of engineering. Additive printing has the vast range of applications in many fields. ...
1404.4797
Christian Schulz
Henning Meyerhenke, Peter Sanders, Christian Schulz
Parallel Graph Partitioning for Complex Networks
Review article. Parallelization of our previous approach arXiv:1402.3281
null
null
null
cs.DC cs.DS cs.NE cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Processing large complex networks like social networks or web graphs has recently attracted considerable interest. In order to do this in parallel, we need to partition them into pieces of about equal size. Unfortunately, previous parallel graph partitioners originally developed for more regular mesh-like networks do...
[ { "created": "Fri, 18 Apr 2014 14:30:04 GMT", "version": "v1" }, { "created": "Mon, 21 Apr 2014 13:40:34 GMT", "version": "v2" }, { "created": "Mon, 26 Jan 2015 10:07:38 GMT", "version": "v3" } ]
2015-01-27
[ [ "Meyerhenke", "Henning", "" ], [ "Sanders", "Peter", "" ], [ "Schulz", "Christian", "" ] ]
Processing large complex networks like social networks or web graphs has recently attracted considerable interest. In order to do this in parallel, we need to partition them into pieces of about equal size. Unfortunately, previous parallel graph partitioners originally developed for more regular mesh-like networks do n...
2109.08061
Ian Magnusson
Ian Magnusson and Aruna Sankaranarayanan and Andrew Lippman
Invertible Frowns: Video-to-Video Facial Emotion Translation
9 pages, 2 figures, 4 tables, accepted at ADGD @ ACM Multimedia 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We present Wav2Lip-Emotion, a video-to-video translation architecture that modifies facial expressions of emotion in videos of speakers. Previous work modifies emotion in images, uses a single image to produce a video with animated emotion, or puppets facial expressions in videos with landmarks from a reference video...
[ { "created": "Thu, 16 Sep 2021 15:43:51 GMT", "version": "v1" }, { "created": "Fri, 22 Oct 2021 15:44:08 GMT", "version": "v2" } ]
2021-10-25
[ [ "Magnusson", "Ian", "" ], [ "Sankaranarayanan", "Aruna", "" ], [ "Lippman", "Andrew", "" ] ]
We present Wav2Lip-Emotion, a video-to-video translation architecture that modifies facial expressions of emotion in videos of speakers. Previous work modifies emotion in images, uses a single image to produce a video with animated emotion, or puppets facial expressions in videos with landmarks from a reference video. ...
2401.07796
Nathan Painchaud
Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
10 pages, submitted to IEEE TMI
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep learning now enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provide fine-grained information that physicians consider, in conjunction with more global variables from the clinical record, to assess pa...
[ { "created": "Mon, 15 Jan 2024 16:04:46 GMT", "version": "v1" } ]
2024-01-17
[ [ "Painchaud", "Nathan", "" ], [ "Courand", "Pierre-Yves", "" ], [ "Jodoin", "Pierre-Marc", "" ], [ "Duchateau", "Nicolas", "" ], [ "Bernard", "Olivier", "" ] ]
Deep learning now enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provide fine-grained information that physicians consider, in conjunction with more global variables from the clinical record, to assess pati...
1911.04118
Siddhant Garg
Siddhant Garg, Thuy Vu, Alessandro Moschitti
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Oral Presentation
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We propose TANDA, an effective technique for fine-tuning pre-trained Transformer models for natural language tasks. Specifically, we first transfer a pre-trained model into a model for a general task by fine-tuning it with a large and high-quality dataset. We then perform a second fine-tuning step to adapt the transf...
[ { "created": "Mon, 11 Nov 2019 07:40:37 GMT", "version": "v1" }, { "created": "Wed, 20 Nov 2019 05:21:22 GMT", "version": "v2" } ]
2019-11-21
[ [ "Garg", "Siddhant", "" ], [ "Vu", "Thuy", "" ], [ "Moschitti", "Alessandro", "" ] ]
We propose TANDA, an effective technique for fine-tuning pre-trained Transformer models for natural language tasks. Specifically, we first transfer a pre-trained model into a model for a general task by fine-tuning it with a large and high-quality dataset. We then perform a second fine-tuning step to adapt the transfer...
2401.16119
Xuefeng Liang
Ying Zhou, Xuefeng Liang, Han Chen, Yin Zhao, Xin Chen, Lida Yu
Triple Disentangled Representation Learning for Multimodal Affective Analysis
14 pages, 6 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal learning has exhibited a significant advantage in affective analysis tasks owing to the comprehensive information of various modalities, particularly the complementary information. Thus, many emerging studies focus on disentangling the modality-invariant and modality-specific representations from input dat...
[ { "created": "Mon, 29 Jan 2024 12:45:27 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2024 08:19:19 GMT", "version": "v2" } ]
2024-04-09
[ [ "Zhou", "Ying", "" ], [ "Liang", "Xuefeng", "" ], [ "Chen", "Han", "" ], [ "Zhao", "Yin", "" ], [ "Chen", "Xin", "" ], [ "Yu", "Lida", "" ] ]
Multimodal learning has exhibited a significant advantage in affective analysis tasks owing to the comprehensive information of various modalities, particularly the complementary information. Thus, many emerging studies focus on disentangling the modality-invariant and modality-specific representations from input data ...
cs/0309021
Atsushi Fujii
Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, and Tetsuya Ishikawa
A Cross-media Retrieval System for Lecture Videos
null
Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003), pp.1149-1152, Sep. 2003
null
null
cs.CL
null
We propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate queries by using the textbook associated with a target lecture, even if they cannot come up with effective keywords. Our system extracts the...
[ { "created": "Sat, 13 Sep 2003 06:54:58 GMT", "version": "v1" } ]
2007-05-23
[ [ "Fujii", "Atsushi", "" ], [ "Itou", "Katunobu", "" ], [ "Akiba", "Tomoyosi", "" ], [ "Ishikawa", "Tetsuya", "" ] ]
We propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate queries by using the textbook associated with a target lecture, even if they cannot come up with effective keywords. Our system extracts the a...
2103.04147
Hadi Moradi
Mohammad Hossein Nasseri, Hadi Moradi, Reshad Hosseini, Mohammadreza Babaee
Simple online and real-time tracking with occlusion handling
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple object tracking is a challenging problem in computer vision due to difficulty in dealing with motion prediction, occlusion handling, and object re-identification. Many recent algorithms use motion and appearance cues to overcome these challenges. But using appearance cues increases the computation cost notab...
[ { "created": "Sat, 6 Mar 2021 16:04:40 GMT", "version": "v1" } ]
2021-03-09
[ [ "Nasseri", "Mohammad Hossein", "" ], [ "Moradi", "Hadi", "" ], [ "Hosseini", "Reshad", "" ], [ "Babaee", "Mohammadreza", "" ] ]
Multiple object tracking is a challenging problem in computer vision due to difficulty in dealing with motion prediction, occlusion handling, and object re-identification. Many recent algorithms use motion and appearance cues to overcome these challenges. But using appearance cues increases the computation cost notably...
2407.16789
Benjamin Wilson
Benjamin Wilson, Nicholas Autio Mitchell, Jhony Kaesemodel Pontes, James Hays
What Matters in Range View 3D Object Detection
Fixed broken link
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lidar-based perception pipelines rely on 3D object detection models to interpret complex scenes. While multiple representations for lidar exist, the range-view is enticing since it losslessly encodes the entire lidar sensor output. In this work, we achieve state-of-the-art amongst range-view 3D object detection model...
[ { "created": "Tue, 23 Jul 2024 18:42:37 GMT", "version": "v1" }, { "created": "Thu, 25 Jul 2024 20:20:03 GMT", "version": "v2" } ]
2024-07-29
[ [ "Wilson", "Benjamin", "" ], [ "Mitchell", "Nicholas Autio", "" ], [ "Pontes", "Jhony Kaesemodel", "" ], [ "Hays", "James", "" ] ]
Lidar-based perception pipelines rely on 3D object detection models to interpret complex scenes. While multiple representations for lidar exist, the range-view is enticing since it losslessly encodes the entire lidar sensor output. In this work, we achieve state-of-the-art amongst range-view 3D object detection models ...
1611.06947
Rongrong Tao
Rongrong Tao, Baojian Zhou, Feng Chen, Naifeng Liu, David Mares, Patrick Butler, Naren Ramakrishnan
Can Self-Censorship in News Media be Detected Algorithmically? A Case Study in Latin America
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Censorship in social media has been well studied and provides insight into how governments stifle freedom of expression online. Comparatively less (or no) attention has been paid to detecting (self) censorship in traditional media (e.g., news) using social media as a bellweather. We present a novel unsupervised appro...
[ { "created": "Mon, 21 Nov 2016 18:57:02 GMT", "version": "v1" }, { "created": "Fri, 17 Mar 2017 04:28:53 GMT", "version": "v2" } ]
2017-03-20
[ [ "Tao", "Rongrong", "" ], [ "Zhou", "Baojian", "" ], [ "Chen", "Feng", "" ], [ "Liu", "Naifeng", "" ], [ "Mares", "David", "" ], [ "Butler", "Patrick", "" ], [ "Ramakrishnan", "Naren", "" ] ]
Censorship in social media has been well studied and provides insight into how governments stifle freedom of expression online. Comparatively less (or no) attention has been paid to detecting (self) censorship in traditional media (e.g., news) using social media as a bellweather. We present a novel unsupervised approac...
1112.5605
M. Tariq Banday
M. Tariq Banday and N. A. Shah
A Study of CAPTCHAs for Securing Web Services
9 Pages
Banday, M.T., Shah, N.A. (2009). "A Study of CAPTCHAs for Securing Web Services," IJSDIA International Journal of Secure Digital Information Age, ISSN: 0975-1823, 1(2), pp. 66-74, available online at: http://ijsdia.org/main/?page_id=6
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Atomizing various Web activities by replacing human to human interactions on the Internet has been made indispensable due to its enormous growth. However, bots also known as Web-bots which have a malicious intend and pretending to be humans pose a severe threat to various services on the Internet that implicitly assu...
[ { "created": "Fri, 23 Dec 2011 15:46:56 GMT", "version": "v1" } ]
2011-12-26
[ [ "Banday", "M. Tariq", "" ], [ "Shah", "N. A.", "" ] ]
Atomizing various Web activities by replacing human to human interactions on the Internet has been made indispensable due to its enormous growth. However, bots also known as Web-bots which have a malicious intend and pretending to be humans pose a severe threat to various services on the Internet that implicitly assume...
1605.07133
Angeliki Lazaridou
Angeliki Lazaridou, Nghia The Pham and Marco Baroni
Towards Multi-Agent Communication-Based Language Learning
9 pages, manuscript under submission
null
null
null
cs.CL cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an interactive multimodal framework for language learning. Instead of being passively exposed to large amounts of natural text, our learners (implemented as feed-forward neural networks) engage in cooperative referential games starting from a tabula rasa setup, and thus develop their own language from the ...
[ { "created": "Mon, 23 May 2016 18:46:46 GMT", "version": "v1" } ]
2016-05-24
[ [ "Lazaridou", "Angeliki", "" ], [ "Pham", "Nghia The", "" ], [ "Baroni", "Marco", "" ] ]
We propose an interactive multimodal framework for language learning. Instead of being passively exposed to large amounts of natural text, our learners (implemented as feed-forward neural networks) engage in cooperative referential games starting from a tabula rasa setup, and thus develop their own language from the ne...
1509.01978
Alessia Amelio Dr.
Darko Brodic, Alessia Amelio, Zoran N. Milivojevic
An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture
15 pages, 9 figures, 3rd Workshop on Recognition and Action for Scene Understanding (REACTS 2015)
null
null
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper presents a new script classification method for the discrimination of the South Slavic medieval labels. It consists in the textural analysis of the script types. In the first step, each letter is coded by the equivalent script type, which is defined by its typographical features. Obtained coded text is subj...
[ { "created": "Mon, 7 Sep 2015 10:39:20 GMT", "version": "v1" } ]
2015-09-08
[ [ "Brodic", "Darko", "" ], [ "Amelio", "Alessia", "" ], [ "Milivojevic", "Zoran N.", "" ] ]
The paper presents a new script classification method for the discrimination of the South Slavic medieval labels. It consists in the textural analysis of the script types. In the first step, each letter is coded by the equivalent script type, which is defined by its typographical features. Obtained coded text is subjec...
2203.11274
Isabella Huang
Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Ruzena Bajcsy, Tucker Hermans, Dieter Fox
DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
For associated web page, see \url{https://sites.google.com/nvidia.com/defgraspsim}. To be published in the IEEE Robotics and Automation Letters (RA-L) special issue on Robotic Handling of Deformable Objects, 2022. arXiv admin note: substantial text overlap with arXiv:2107.05778
null
10.1109/LRA.2022.3158725
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery, and household automation. However, developing grasp strategies for such objects is uniquely challenging. Unlike rigid objects, deformabl...
[ { "created": "Mon, 21 Mar 2022 18:53:03 GMT", "version": "v1" } ]
2022-03-23
[ [ "Huang", "Isabella", "" ], [ "Narang", "Yashraj", "" ], [ "Eppner", "Clemens", "" ], [ "Sundaralingam", "Balakumar", "" ], [ "Macklin", "Miles", "" ], [ "Bajcsy", "Ruzena", "" ], [ "Hermans", "Tucker", "" ...
Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery, and household automation. However, developing grasp strategies for such objects is uniquely challenging. Unlike rigid objects, deformable ...
1602.00503
Amine Ghrab
Amine Ghrab, Oscar Romero, Sabri Skhiri, Alejandro Vaisman, Esteban Zim\'anyi
GRAD: On Graph Database Modeling
28 pages, 13 figures
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph databases have emerged as the fundamental technology underpinning trendy application domains where traditional databases are not well-equipped to handle complex graph data. However, current graph databases support basic graph structures and integrity constraints with no standard algebra. In this paper, we intro...
[ { "created": "Mon, 1 Feb 2016 12:49:25 GMT", "version": "v1" } ]
2016-02-02
[ [ "Ghrab", "Amine", "" ], [ "Romero", "Oscar", "" ], [ "Skhiri", "Sabri", "" ], [ "Vaisman", "Alejandro", "" ], [ "Zimányi", "Esteban", "" ] ]
Graph databases have emerged as the fundamental technology underpinning trendy application domains where traditional databases are not well-equipped to handle complex graph data. However, current graph databases support basic graph structures and integrity constraints with no standard algebra. In this paper, we introdu...
1502.04634
Danko Ilik
Danko Ilik
The exp-log normal form of types
null
POPL 2017 Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages. Pages 387-399. Paris, France -- January 15 - 21, 2017
10.1145/3009837.3009841
null
cs.LO cs.PL math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lambda calculi with algebraic data types lie at the core of functional programming languages and proof assistants, but conceal at least two fundamental theoretical problems already in the presence of the simplest non-trivial data type, the sum type. First, we do not know of an explicit and implemented algorithm for d...
[ { "created": "Mon, 16 Feb 2015 17:14:52 GMT", "version": "v1" }, { "created": "Tue, 23 Jun 2015 18:34:09 GMT", "version": "v2" }, { "created": "Tue, 10 May 2016 09:41:43 GMT", "version": "v3" }, { "created": "Thu, 30 Jun 2016 13:39:23 GMT", "version": "v4" } ]
2019-05-21
[ [ "Ilik", "Danko", "" ] ]
Lambda calculi with algebraic data types lie at the core of functional programming languages and proof assistants, but conceal at least two fundamental theoretical problems already in the presence of the simplest non-trivial data type, the sum type. First, we do not know of an explicit and implemented algorithm for dec...
2012.06048
Fei Yuan
Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang
Reinforced Multi-Teacher Selection for Knowledge Distillation
AAAI 2021
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In natural language processing (NLP) tasks, slow inference speed and huge footprints in GPU usage remain the bottleneck of applying pre-trained deep models in production. As a popular method for model compression, knowledge distillation transfers knowledge from one or multiple large (teacher) models to a small (stude...
[ { "created": "Fri, 11 Dec 2020 08:56:39 GMT", "version": "v1" }, { "created": "Mon, 14 Dec 2020 02:48:07 GMT", "version": "v2" } ]
2020-12-15
[ [ "Yuan", "Fei", "" ], [ "Shou", "Linjun", "" ], [ "Pei", "Jian", "" ], [ "Lin", "Wutao", "" ], [ "Gong", "Ming", "" ], [ "Fu", "Yan", "" ], [ "Jiang", "Daxin", "" ] ]
In natural language processing (NLP) tasks, slow inference speed and huge footprints in GPU usage remain the bottleneck of applying pre-trained deep models in production. As a popular method for model compression, knowledge distillation transfers knowledge from one or multiple large (teacher) models to a small (student...
2310.01330
Qiyu Wu
Qiyu Wu, Mengjie Zhao, Yutong He, Lang Huang, Junya Ono, Hiromi Wakaki, Yuki Mitsufuji
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reporting bias arises when people assume that some knowledge is universally understood and hence, do not necessitate explicit elaboration. In this paper, we focus on the wide existence of reporting bias in visual-language datasets, embodied as the object-attribute association, which can subsequentially degrade models...
[ { "created": "Mon, 2 Oct 2023 16:48:50 GMT", "version": "v1" } ]
2023-10-03
[ [ "Wu", "Qiyu", "" ], [ "Zhao", "Mengjie", "" ], [ "He", "Yutong", "" ], [ "Huang", "Lang", "" ], [ "Ono", "Junya", "" ], [ "Wakaki", "Hiromi", "" ], [ "Mitsufuji", "Yuki", "" ] ]
Reporting bias arises when people assume that some knowledge is universally understood and hence, do not necessitate explicit elaboration. In this paper, we focus on the wide existence of reporting bias in visual-language datasets, embodied as the object-attribute association, which can subsequentially degrade models t...
1605.05767
Sherif Abuelenin
Rabab Farouk Abdel-Kader, Sherif M. Abuelenin
Memristor model based on fuzzy window function
5 pages, 6 figures, Published in: Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on
null
10.1109/FUZZ-IEEE.2015.7338105
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Memristor (memory-resistor) is the fourth passive circuit element. We introduce a memristor model based on a fuzzy logic window function. Fuzzy models are flexible, which enables the capture of the pinched hysteresis behavior of the memristor. The introduced fuzzy model avoids common problems associated with window-f...
[ { "created": "Wed, 18 May 2016 21:56:25 GMT", "version": "v1" } ]
2016-05-20
[ [ "Abdel-Kader", "Rabab Farouk", "" ], [ "Abuelenin", "Sherif M.", "" ] ]
Memristor (memory-resistor) is the fourth passive circuit element. We introduce a memristor model based on a fuzzy logic window function. Fuzzy models are flexible, which enables the capture of the pinched hysteresis behavior of the memristor. The introduced fuzzy model avoids common problems associated with window-fun...
1603.03695
Alessandro Biason
Alessandro Biason and Michele Zorzi
Energy Harvesting Communication System with SOC-Dependent Energy Storage Losses
In Proc. IEEE Twelfth Int. Symposium on Wireless Communication Systems (ISWCS), pp. 406-410, Aug. 2015
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The popularity of Energy Harvesting Devices (EHDs) has grown in the past few years, thanks to their capability of prolonging the network lifetime. In reality, EHDs are affected by several inefficiencies, e.g., energy leakage, battery degradation or storage losses. In this work we consider an energy harvesting transmi...
[ { "created": "Fri, 11 Mar 2016 17:20:59 GMT", "version": "v1" } ]
2016-03-14
[ [ "Biason", "Alessandro", "" ], [ "Zorzi", "Michele", "" ] ]
The popularity of Energy Harvesting Devices (EHDs) has grown in the past few years, thanks to their capability of prolonging the network lifetime. In reality, EHDs are affected by several inefficiencies, e.g., energy leakage, battery degradation or storage losses. In this work we consider an energy harvesting transmitt...
2206.08050
Jinyu Zhang
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu and Hongzhi Yin
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
15 pages, 6 figures
null
10.1109/TNNLS.2022.3201533
null
cs.IR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims to recommend the next item via leveraging the mixed user behaviors in multiple domains. It is gaining immense research attention as more and more users tend to sign up on different platforms and share accounts with others to access domain-specific...
[ { "created": "Thu, 16 Jun 2022 10:06:01 GMT", "version": "v1" } ]
2022-09-09
[ [ "Guo", "Lei", "" ], [ "Zhang", "Jinyu", "" ], [ "Tang", "Li", "" ], [ "Chen", "Tong", "" ], [ "Zhu", "Lei", "" ], [ "Yin", "Hongzhi", "" ] ]
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims to recommend the next item via leveraging the mixed user behaviors in multiple domains. It is gaining immense research attention as more and more users tend to sign up on different platforms and share accounts with others to access domain-specific s...
1901.05428
Omur Ozel
Peng Zou and Omur Ozel and Suresh Subramaniam
Relative Age of Information: A New Metric for Status Update Systems
null
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce a new data freshness metric, relative Age of Information (rAoI), and examine it in a single server system with various packet management schemes. The (classical) AoI metric was introduced to measure the staleness of status updates at the receiving end with respect to their generation at th...
[ { "created": "Wed, 16 Jan 2019 18:35:37 GMT", "version": "v1" }, { "created": "Wed, 30 Jan 2019 18:52:54 GMT", "version": "v2" }, { "created": "Mon, 1 Jul 2019 17:13:10 GMT", "version": "v3" } ]
2019-07-02
[ [ "Zou", "Peng", "" ], [ "Ozel", "Omur", "" ], [ "Subramaniam", "Suresh", "" ] ]
In this paper, we introduce a new data freshness metric, relative Age of Information (rAoI), and examine it in a single server system with various packet management schemes. The (classical) AoI metric was introduced to measure the staleness of status updates at the receiving end with respect to their generation at the ...
1006.1592
Carla Fabiana Chiasserini
Michele Garetto, Alessandro Nordio, Carla-Fabiana Chiasserini, Emilio Leonardi
Information-theoretic Capacity of Clustered Random Networks
6 pages, in Proceedings of ISIT 2010
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyze the capacity scaling laws of clustered ad hoc networks in which nodes are distributed according to a doubly stochastic shot-noise Cox process. We identify five different operational regimes, and for each regime we devise a communication strategy that allows to achieve a throughput to within a poly-logarith...
[ { "created": "Tue, 8 Jun 2010 15:48:44 GMT", "version": "v1" } ]
2010-06-09
[ [ "Garetto", "Michele", "" ], [ "Nordio", "Alessandro", "" ], [ "Chiasserini", "Carla-Fabiana", "" ], [ "Leonardi", "Emilio", "" ] ]
We analyze the capacity scaling laws of clustered ad hoc networks in which nodes are distributed according to a doubly stochastic shot-noise Cox process. We identify five different operational regimes, and for each regime we devise a communication strategy that allows to achieve a throughput to within a poly-logarithmi...
1104.2251
Ugo Pietropaoli
Gianpaolo Oriolo, Ugo Pietropaoli, Gautier Stauffer
On the Recognition of Fuzzy Circular Interval Graphs
12 pages, 2 figures
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fuzzy circular interval graphs are a generalization of proper circular arc graphs and have been recently introduced by Chudnovsky and Seymour as a fundamental subclass of claw-free graphs. In this paper, we provide a polynomial-time algorithm for recognizing such graphs, and more importantly for building a suitable r...
[ { "created": "Tue, 12 Apr 2011 15:50:33 GMT", "version": "v1" } ]
2011-04-13
[ [ "Oriolo", "Gianpaolo", "" ], [ "Pietropaoli", "Ugo", "" ], [ "Stauffer", "Gautier", "" ] ]
Fuzzy circular interval graphs are a generalization of proper circular arc graphs and have been recently introduced by Chudnovsky and Seymour as a fundamental subclass of claw-free graphs. In this paper, we provide a polynomial-time algorithm for recognizing such graphs, and more importantly for building a suitable rep...
0901.2416
Jort Gemmeke
J. F. Gemmeke and B. Cranen
TR01: Time-continuous Sparse Imputation
9 pages, 5 figures, Technical Report
null
null
null
cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An effective way to increase the noise robustness of automatic speech recognition is to label noisy speech features as either reliable or unreliable (missing) prior to decoding, and to replace the missing ones by clean speech estimates. We present a novel method to obtain such clean speech estimates. Unlike previous ...
[ { "created": "Fri, 16 Jan 2009 08:24:14 GMT", "version": "v1" } ]
2009-01-19
[ [ "Gemmeke", "J. F.", "" ], [ "Cranen", "B.", "" ] ]
An effective way to increase the noise robustness of automatic speech recognition is to label noisy speech features as either reliable or unreliable (missing) prior to decoding, and to replace the missing ones by clean speech estimates. We present a novel method to obtain such clean speech estimates. Unlike previous im...
1802.06613
Ivan Habernal
Ivan Habernal and Henning Wachsmuth and Iryna Gurevych and Benno Stein
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
Accepted as NAACL 2018 Long Paper; see details on the front page
null
10.18653/v1/N18-1036
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Arguing without committing a fallacy is one of the main requirements of an ideal debate. But even when debating rules are strictly enforced and fallacious arguments punished, arguers often lapse into attacking the opponent by an ad hominem argument. As existing research lacks solid empirical investigation of the typo...
[ { "created": "Mon, 19 Feb 2018 12:57:56 GMT", "version": "v1" }, { "created": "Fri, 23 Feb 2018 09:46:21 GMT", "version": "v2" } ]
2022-03-07
[ [ "Habernal", "Ivan", "" ], [ "Wachsmuth", "Henning", "" ], [ "Gurevych", "Iryna", "" ], [ "Stein", "Benno", "" ] ]
Arguing without committing a fallacy is one of the main requirements of an ideal debate. But even when debating rules are strictly enforced and fallacious arguments punished, arguers often lapse into attacking the opponent by an ad hominem argument. As existing research lacks solid empirical investigation of the typolo...
1905.07195
Chun-an Chan
Vincent Wan, Chun-an Chan, Tom Kenter, Jakub Vit, Rob Clark
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
null
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The prosodic aspects of speech signals produced by current text-to-speech systems are typically averaged over training material, and as such lack the variety and liveliness found in natural speech. To avoid monotony and averaged prosody contours, it is desirable to have a way of modeling the variation in the prosodic...
[ { "created": "Fri, 17 May 2019 11:03:58 GMT", "version": "v1" }, { "created": "Tue, 4 Jun 2019 11:16:49 GMT", "version": "v2" } ]
2019-06-05
[ [ "Wan", "Vincent", "" ], [ "Chan", "Chun-an", "" ], [ "Kenter", "Tom", "" ], [ "Vit", "Jakub", "" ], [ "Clark", "Rob", "" ] ]
The prosodic aspects of speech signals produced by current text-to-speech systems are typically averaged over training material, and as such lack the variety and liveliness found in natural speech. To avoid monotony and averaged prosody contours, it is desirable to have a way of modeling the variation in the prosodic a...
2207.08930
Fawad Ahmad
Fawad Ahmad, Christina Suyong Shin, Weiwu Pang, Branden Leong, Pradipta Ghosh, and Ramesh Govindan
Cooperative Infrastructure Perception
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Recent works have considered two qualitatively different approaches to overcome line-of-sight limitations of 3D sensors used for perception: cooperative perception and infrastructure-augmented perception. In this paper, motivated by increasing deployments of infrastructure LiDARs, we explore a third approach, coopera...
[ { "created": "Mon, 18 Jul 2022 20:33:53 GMT", "version": "v1" }, { "created": "Wed, 26 Jun 2024 18:15:02 GMT", "version": "v2" } ]
2024-06-28
[ [ "Ahmad", "Fawad", "" ], [ "Shin", "Christina Suyong", "" ], [ "Pang", "Weiwu", "" ], [ "Leong", "Branden", "" ], [ "Ghosh", "Pradipta", "" ], [ "Govindan", "Ramesh", "" ] ]
Recent works have considered two qualitatively different approaches to overcome line-of-sight limitations of 3D sensors used for perception: cooperative perception and infrastructure-augmented perception. In this paper, motivated by increasing deployments of infrastructure LiDARs, we explore a third approach, cooperati...
2212.10707
Vin\'icius Camargo Da Silva
Vin\'icius Camargo da Silva, Jo\~ao Paulo Papa, Kelton Augusto Pontara da Costa
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
null
null
10.5220/0011664100003417
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Automatic Text Summarization (ATS) is becoming relevant with the growth of textual data; however, with the popularization of public large-scale datasets, some recent machine learning approaches have focused on dense models and architectures that, despite producing notable results, usually turn out in models difficult...
[ { "created": "Wed, 21 Dec 2022 00:56:50 GMT", "version": "v1" } ]
2023-03-07
[ [ "da Silva", "Vinícius Camargo", "" ], [ "Papa", "João Paulo", "" ], [ "da Costa", "Kelton Augusto Pontara", "" ] ]
Automatic Text Summarization (ATS) is becoming relevant with the growth of textual data; however, with the popularization of public large-scale datasets, some recent machine learning approaches have focused on dense models and architectures that, despite producing notable results, usually turn out in models difficult t...
2406.17675
Yuan Li
Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) have demonstrated exceptional task-solving capabilities, increasingly adopting roles akin to human-like assistants. The broader integration of LLMs into society has sparked interest in whether they manifest psychological attributes, and whether these attributes are stable-inquiries that c...
[ { "created": "Tue, 25 Jun 2024 16:09:08 GMT", "version": "v1" } ]
2024-06-26
[ [ "Li", "Yuan", "" ], [ "Huang", "Yue", "" ], [ "Wang", "Hongyi", "" ], [ "Zhang", "Xiangliang", "" ], [ "Zou", "James", "" ], [ "Sun", "Lichao", "" ] ]
Large Language Models (LLMs) have demonstrated exceptional task-solving capabilities, increasingly adopting roles akin to human-like assistants. The broader integration of LLMs into society has sparked interest in whether they manifest psychological attributes, and whether these attributes are stable-inquiries that cou...
2205.13598
Chinmay Sonar
Chinmay Sonar, Subhash Suri and Jie Xue
Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space
Accepted for IJCAI-ECAI 2022
null
null
null
cs.GT cs.CG
http://creativecommons.org/licenses/by/4.0/
We consider multiwinner elections in Euclidean space using the minimax Chamberlin-Courant rule. In this setting, voters and candidates are embedded in a $d$-dimensional Euclidean space, and the goal is to choose a committee of $k$ candidates so that the rank of any voter's most preferred candidate in the committee is...
[ { "created": "Thu, 26 May 2022 20:10:55 GMT", "version": "v1" } ]
2022-05-30
[ [ "Sonar", "Chinmay", "" ], [ "Suri", "Subhash", "" ], [ "Xue", "Jie", "" ] ]
We consider multiwinner elections in Euclidean space using the minimax Chamberlin-Courant rule. In this setting, voters and candidates are embedded in a $d$-dimensional Euclidean space, and the goal is to choose a committee of $k$ candidates so that the rank of any voter's most preferred candidate in the committee is m...
2202.08372
Dimitris Iakovidis
Dimitrios E. Diamantis and Dimitris K. Iakovidis
Fuzzy Pooling
The final version of the paper has been published in https://ieeexplore.ieee.org/document/9197689
IEEE Transactions on Fuzzy Systems, vol. 29, no. 11, pp. 3481 - 3488, Nov. 2020
10.1109/TFUZZ.2020.3024023
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Convolutional Neural Networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality reduction. The impact of pooling in the classification performance of the CNNs has been highlighted i...
[ { "created": "Sat, 12 Feb 2022 11:18:32 GMT", "version": "v1" } ]
2022-02-18
[ [ "Diamantis", "Dimitrios E.", "" ], [ "Iakovidis", "Dimitris K.", "" ] ]
Convolutional Neural Networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality reduction. The impact of pooling in the classification performance of the CNNs has been highlighted in ...
2402.05608
Zhengcong Fei
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Junshi Huang
Scalable Diffusion Models with State Space Backbone
null
null
null
null
cs.CV cs.MM
http://creativecommons.org/licenses/by/4.0/
This paper presents a new exploration into a category of diffusion models built upon state space architecture. We endeavor to train diffusion models for image data, wherein the traditional U-Net backbone is supplanted by a state space backbone, functioning on raw patches or latent space. Given its notable efficacy in...
[ { "created": "Thu, 8 Feb 2024 12:08:42 GMT", "version": "v1" }, { "created": "Sun, 25 Feb 2024 03:06:17 GMT", "version": "v2" }, { "created": "Thu, 28 Mar 2024 08:28:44 GMT", "version": "v3" } ]
2024-03-29
[ [ "Fei", "Zhengcong", "" ], [ "Fan", "Mingyuan", "" ], [ "Yu", "Changqian", "" ], [ "Huang", "Junshi", "" ] ]
This paper presents a new exploration into a category of diffusion models built upon state space architecture. We endeavor to train diffusion models for image data, wherein the traditional U-Net backbone is supplanted by a state space backbone, functioning on raw patches or latent space. Given its notable efficacy in a...
0802.0834
Jaap-Henk Hoepman
Jaap-Henk Hoepman
The Ephemeral Pairing Problem
null
In 8th Int. Conf. Financial Cryptography, LNCS 3110, pages 212-226, Key West, FL, USA, February 9-12 2004. Springer
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In wireless ad-hoc broadcast networks the pairing problem consists of establishing a (long-term) connection between two specific physical nodes in the network that do not yet know each other. We focus on the ephemeral version of this problem. Ephemeral pairings occur, for example, when electronic business cards are e...
[ { "created": "Wed, 6 Feb 2008 16:14:11 GMT", "version": "v1" } ]
2016-09-08
[ [ "Hoepman", "Jaap-Henk", "" ] ]
In wireless ad-hoc broadcast networks the pairing problem consists of establishing a (long-term) connection between two specific physical nodes in the network that do not yet know each other. We focus on the ephemeral version of this problem. Ephemeral pairings occur, for example, when electronic business cards are exc...
1410.6268
Brijesh Dongol
Brijesh Dongol and John Derrick
Verifying linearizability: A comparative survey
39 pages
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linearizability has become the key correctness criterion for concurrent data structures, ensuring that histories of the concurrent object under consideration are consistent, where consistency is judged with respect to a sequential history of a corresponding abstract data structure. Linearizability allows any order of...
[ { "created": "Thu, 23 Oct 2014 07:28:11 GMT", "version": "v1" }, { "created": "Sat, 31 Jan 2015 09:21:40 GMT", "version": "v2" } ]
2015-02-03
[ [ "Dongol", "Brijesh", "" ], [ "Derrick", "John", "" ] ]
Linearizability has become the key correctness criterion for concurrent data structures, ensuring that histories of the concurrent object under consideration are consistent, where consistency is judged with respect to a sequential history of a corresponding abstract data structure. Linearizability allows any order of c...
2006.14890
Dr Gregory Epiphaniou
Carsten Maple and Peter Davies and Kerstin Eder and Chris Hankin and Greg Chance and Gregory Epiphaniou
CyRes -- Avoiding Catastrophic Failure in Connected and Autonomous Vehicles (Extended Abstract)
7 pages, extended abstract
null
null
null
cs.CR cs.CY cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing approaches to cyber security and regulation in the automotive sector cannot achieve the quality of outcome necessary to ensure the safe mass deployment of advanced vehicle technologies and smart mobility systems. Without sustainable resilience hard-fought public trust will evaporate, derailing emerging globa...
[ { "created": "Fri, 26 Jun 2020 09:59:52 GMT", "version": "v1" }, { "created": "Tue, 30 Jun 2020 15:12:59 GMT", "version": "v2" }, { "created": "Fri, 3 Jul 2020 10:54:33 GMT", "version": "v3" } ]
2020-07-06
[ [ "Maple", "Carsten", "" ], [ "Davies", "Peter", "" ], [ "Eder", "Kerstin", "" ], [ "Hankin", "Chris", "" ], [ "Chance", "Greg", "" ], [ "Epiphaniou", "Gregory", "" ] ]
Existing approaches to cyber security and regulation in the automotive sector cannot achieve the quality of outcome necessary to ensure the safe mass deployment of advanced vehicle technologies and smart mobility systems. Without sustainable resilience hard-fought public trust will evaporate, derailing emerging global ...
2107.12034
Dirk Alexander Molitor
Dirk Alexander Molitor and Christian Kubik and Ruben Helmut Hetfleisch and Peter Groche
Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networks
null
Production Engineering 16(4) (2022) 481-492
10.1007/s11740-022-01113-2
null
cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blanking processes belong to the most widely used manufacturing techniques due to their economic efficiency. Their economic viability depends to a large extent on the resulting product quality and the associated customer satisfaction as well as on possible downtimes. In particular, the occurrence of increased tool we...
[ { "created": "Mon, 26 Jul 2021 08:49:08 GMT", "version": "v1" } ]
2023-10-09
[ [ "Molitor", "Dirk Alexander", "" ], [ "Kubik", "Christian", "" ], [ "Hetfleisch", "Ruben Helmut", "" ], [ "Groche", "Peter", "" ] ]
Blanking processes belong to the most widely used manufacturing techniques due to their economic efficiency. Their economic viability depends to a large extent on the resulting product quality and the associated customer satisfaction as well as on possible downtimes. In particular, the occurrence of increased tool wear...
2303.09957
Norman Meuschke
Norman Meuschke, Apurva Jagdale, Timo Spinde, Jelena Mitrovi\'c, Bela Gipp
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents
iConference 2023
null
10.1007/978-3-031-28032-0_31
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements is difficult because many, technically diverse tools are available, but recent performance benchmarks are rare. Moreover, such benchmarks ...
[ { "created": "Fri, 17 Mar 2023 13:26:33 GMT", "version": "v1" } ]
2023-03-20
[ [ "Meuschke", "Norman", "" ], [ "Jagdale", "Apurva", "" ], [ "Spinde", "Timo", "" ], [ "Mitrović", "Jelena", "" ], [ "Gipp", "Bela", "" ] ]
Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements is difficult because many, technically diverse tools are available, but recent performance benchmarks are rare. Moreover, such benchmarks ty...
2310.00448
Christian Intern\`o
Christian Intern\`o and Eloisa Ambrosini
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data
null
null
null
null
cs.LG cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, there is strong emphasis on mining medical data using machine learning techniques. A common problem is to obtain a noiseless set of textual documents, with a relevant content for the research question, and developing a Question Answering (QA) model for a specific medical field. The purpose of this pa...
[ { "created": "Sat, 30 Sep 2023 17:50:50 GMT", "version": "v1" } ]
2023-10-03
[ [ "Internò", "Christian", "" ], [ "Ambrosini", "Eloisa", "" ] ]
In recent years, there is strong emphasis on mining medical data using machine learning techniques. A common problem is to obtain a noiseless set of textual documents, with a relevant content for the research question, and developing a Question Answering (QA) model for a specific medical field. The purpose of this pape...
1802.04376
Nathan Hilliard
Nathan Hilliard and Lawrence Phillips, Scott Howland, Art\"em Yankov, Courtney D. Corley, Nathan O. Hodas
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning high quality class representations from few examples is a key problem in metric-learning approaches to few-shot learning. To accomplish this, we introduce a novel architecture where class representations are conditioned for each few-shot trial based on a target image. We also deviate from traditional metric-...
[ { "created": "Mon, 12 Feb 2018 21:56:12 GMT", "version": "v1" } ]
2018-02-14
[ [ "Hilliard", "Nathan", "" ], [ "Phillips", "Lawrence", "" ], [ "Howland", "Scott", "" ], [ "Yankov", "Artëm", "" ], [ "Corley", "Courtney D.", "" ], [ "Hodas", "Nathan O.", "" ] ]
Learning high quality class representations from few examples is a key problem in metric-learning approaches to few-shot learning. To accomplish this, we introduce a novel architecture where class representations are conditioned for each few-shot trial based on a target image. We also deviate from traditional metric-le...
1909.00734
Xinyu Hua
Xinyu Hua and Lu Wang
Sentence-Level Content Planning and Style Specification for Neural Text Generation
Accepted as a long paper to EMNLP 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building effective text generation systems requires three critical components: content selection, text planning, and surface realization, and traditionally they are tackled as separate problems. Recent all-in-one style neural generation models have made impressive progress, yet they often produce outputs that are inc...
[ { "created": "Mon, 2 Sep 2019 14:29:36 GMT", "version": "v1" } ]
2019-09-04
[ [ "Hua", "Xinyu", "" ], [ "Wang", "Lu", "" ] ]
Building effective text generation systems requires three critical components: content selection, text planning, and surface realization, and traditionally they are tackled as separate problems. Recent all-in-one style neural generation models have made impressive progress, yet they often produce outputs that are incoh...
1407.2827
Alberto Mart\'in-Mart\'in
Alberto Mart\'in-Mart\'in, Juan Manuel Ayll\'on, Enrique Ordu\~na-Malea, Emilio Delgado L\'opez-C\'ozar
Google Scholar Metrics 2014: a low cost bibliometric tool
37 pages, 10 tables, 2 figures, 5 appendixes
null
null
EC3 Working Paper 17
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyse the main features of the third edition of Google Scholar Metrics (GSM), released in June 2014, focusing on its more important changes, strengths, and weaknesses. Additionally, we present some figures that outline the dimensions of this new edition, and we compare them to those of previous editions. Princip...
[ { "created": "Thu, 10 Jul 2014 15:28:23 GMT", "version": "v1" } ]
2014-07-11
[ [ "Martín-Martín", "Alberto", "" ], [ "Ayllón", "Juan Manuel", "" ], [ "Orduña-Malea", "Enrique", "" ], [ "López-Cózar", "Emilio Delgado", "" ] ]
We analyse the main features of the third edition of Google Scholar Metrics (GSM), released in June 2014, focusing on its more important changes, strengths, and weaknesses. Additionally, we present some figures that outline the dimensions of this new edition, and we compare them to those of previous editions. Principal...
2407.21059
Yunfan Gao
Yunfan Gao, Yun Xiong, Meng Wang and Haofen Wang
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
null
null
null
null
cs.CL cs.AI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Retrieval-augmented Generation (RAG) has markedly enhanced the capabilities of Large Language Models (LLMs) in tackling knowledge-intensive tasks. The increasing demands of application scenarios have driven the evolution of RAG, leading to the integration of advanced retrievers, LLMs and other complementary technolog...
[ { "created": "Fri, 26 Jul 2024 03:45:30 GMT", "version": "v1" } ]
2024-08-01
[ [ "Gao", "Yunfan", "" ], [ "Xiong", "Yun", "" ], [ "Wang", "Meng", "" ], [ "Wang", "Haofen", "" ] ]
Retrieval-augmented Generation (RAG) has markedly enhanced the capabilities of Large Language Models (LLMs) in tackling knowledge-intensive tasks. The increasing demands of application scenarios have driven the evolution of RAG, leading to the integration of advanced retrievers, LLMs and other complementary technologie...
2302.11919
Andrea Piazzoni
Andrea Piazzoni, Jim Cherian, Justin Dauwels, Lap-Pui Chau
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles
12 pages, 10 figures. This is a preprint, and version 2 only updates the title and the reference to the final published article, which can be found at DOI: 10.1109/TITS.2023.3311633
IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 1, pp. 670-681, Jan. 2024
10.1109/TITS.2023.3311633
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One particularly challenging question is to effectively include the Sensing and Perception (S&P) subsystem into the simulation loop. In this arti...
[ { "created": "Thu, 23 Feb 2023 10:54:36 GMT", "version": "v1" }, { "created": "Tue, 27 Feb 2024 09:47:33 GMT", "version": "v2" } ]
2024-02-28
[ [ "Piazzoni", "Andrea", "" ], [ "Cherian", "Jim", "" ], [ "Dauwels", "Justin", "" ], [ "Chau", "Lap-Pui", "" ] ]
Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One particularly challenging question is to effectively include the Sensing and Perception (S&P) subsystem into the simulation loop. In this articl...
2006.08328
Ioannis Mollas
Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
ETHOS: an Online Hate Speech Detection Dataset
16 Pages, 3 Figures, 9 Tables, Submitted to the special issue on "Intelligent Systems for Safer Social Media" of Complex & Intelligent Systems
null
10.1007/s40747-021-00608-2
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online hate speech is a recent problem in our society that is rising at a steady pace by leveraging the vulnerabilities of the corresponding regimes that characterise most social media platforms. This phenomenon is primarily fostered by offensive comments, either during user interaction or in the form of a posted mul...
[ { "created": "Thu, 11 Jun 2020 08:59:57 GMT", "version": "v1" }, { "created": "Tue, 6 Jul 2021 07:25:14 GMT", "version": "v2" } ]
2022-01-05
[ [ "Mollas", "Ioannis", "" ], [ "Chrysopoulou", "Zoe", "" ], [ "Karlos", "Stamatis", "" ], [ "Tsoumakas", "Grigorios", "" ] ]
Online hate speech is a recent problem in our society that is rising at a steady pace by leveraging the vulnerabilities of the corresponding regimes that characterise most social media platforms. This phenomenon is primarily fostered by offensive comments, either during user interaction or in the form of a posted multi...
2304.12489
Anwei Luo
Anwei Luo, Chenqi Kong, Jiwu Huang, Yongjian Hu, Xiangui Kang and Alex C. Kot
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
null
null
null
null
cs.CV cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face forgery detection is essential in combating malicious digital face attacks. Previous methods mainly rely on prior expert knowledge to capture specific forgery clues, such as noise patterns, blending boundaries, and frequency artifacts. However, these methods tend to get trapped in local optima, resulting in limi...
[ { "created": "Mon, 24 Apr 2023 23:02:27 GMT", "version": "v1" } ]
2023-04-26
[ [ "Luo", "Anwei", "" ], [ "Kong", "Chenqi", "" ], [ "Huang", "Jiwu", "" ], [ "Hu", "Yongjian", "" ], [ "Kang", "Xiangui", "" ], [ "Kot", "Alex C.", "" ] ]
Face forgery detection is essential in combating malicious digital face attacks. Previous methods mainly rely on prior expert knowledge to capture specific forgery clues, such as noise patterns, blending boundaries, and frequency artifacts. However, these methods tend to get trapped in local optima, resulting in limite...
1707.06665
Sergey Pupyrev
Igor Kabiljo and Brian Karrer and Mayank Pundir and Sergey Pupyrev and Alon Shalita and Alessandro Presta and Yaroslav Akhremtsev
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner
Proceedings of the VLDB Endowment 2017
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We design and implement a distributed algorithm for balanced $k$-way hypergraph partitioning that minimizes fanout, a fundamental hypergraph quantity also known as the communication volume and ($k-1$)-cut metric, by optimizing a novel objective called probabilistic fanout. This choice allows a simple local search heu...
[ { "created": "Thu, 20 Jul 2017 18:17:36 GMT", "version": "v1" } ]
2017-07-24
[ [ "Kabiljo", "Igor", "" ], [ "Karrer", "Brian", "" ], [ "Pundir", "Mayank", "" ], [ "Pupyrev", "Sergey", "" ], [ "Shalita", "Alon", "" ], [ "Presta", "Alessandro", "" ], [ "Akhremtsev", "Yaroslav", "" ] ]
We design and implement a distributed algorithm for balanced $k$-way hypergraph partitioning that minimizes fanout, a fundamental hypergraph quantity also known as the communication volume and ($k-1$)-cut metric, by optimizing a novel objective called probabilistic fanout. This choice allows a simple local search heuri...
1903.01902
Manish Gupta
Amay Agrawal and Dixita Limbachiya and Ravikumar M. and Taslimarif Saiyed and Manish K. Gupta
BacSoft: A Tool to Archive Data on Bacteria
8 pages, 13 figures, poster abstract DNA Computing and Molecular Programming, DNA24 conference, Jinan, China, Oct 2018
null
null
null
cs.ET q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, DNA data storage systems have attracted many researchers worldwide. Motivated by the success stories of such systems, in this work we propose a software called BacSoft to clone the data in a bacterial plasmid by using the concept of genetic engineering. We consider the encoding schemes such that it satisfie...
[ { "created": "Tue, 5 Mar 2019 15:34:28 GMT", "version": "v1" } ]
2019-03-06
[ [ "Agrawal", "Amay", "" ], [ "Limbachiya", "Dixita", "" ], [ "M.", "Ravikumar", "" ], [ "Saiyed", "Taslimarif", "" ], [ "Gupta", "Manish K.", "" ] ]
Recently, DNA data storage systems have attracted many researchers worldwide. Motivated by the success stories of such systems, in this work we propose a software called BacSoft to clone the data in a bacterial plasmid by using the concept of genetic engineering. We consider the encoding schemes such that it satisfies ...
2011.06294
Zhewei Huang
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Accepted to ECCV 2022
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time video frame interpolation (VFI) is very useful in video processing, media players, and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for VFI. To realize a high-quality flow-based VFI method, RIFE uses a neural network named IFNet that can estimate the intermediate flow...
[ { "created": "Thu, 12 Nov 2020 10:12:06 GMT", "version": "v1" }, { "created": "Tue, 16 Nov 2021 13:08:32 GMT", "version": "v10" }, { "created": "Wed, 17 Nov 2021 08:39:12 GMT", "version": "v11" }, { "created": "Wed, 13 Jul 2022 06:51:21 GMT", "version": "v12" }, { ...
2022-07-14
[ [ "Huang", "Zhewei", "" ], [ "Zhang", "Tianyuan", "" ], [ "Heng", "Wen", "" ], [ "Shi", "Boxin", "" ], [ "Zhou", "Shuchang", "" ] ]
Real-time video frame interpolation (VFI) is very useful in video processing, media players, and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for VFI. To realize a high-quality flow-based VFI method, RIFE uses a neural network named IFNet that can estimate the intermediate flows ...
2404.17275
Xiang Gu
Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu
Adversarial Reweighting with $\alpha$-Power Maximization for Domain Adaptation
To appear in IJCV
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The practical Domain Adaptation (DA) tasks, e.g., Partial DA (PDA), open-set DA, universal DA, and test-time adaptation, have gained increasing attention in the machine learning community. In this paper, we propose a novel approach, dubbed Adversarial Reweighting with $\alpha$-Power Maximization (ARPM), for PDA where...
[ { "created": "Fri, 26 Apr 2024 09:29:55 GMT", "version": "v1" } ]
2024-04-29
[ [ "Gu", "Xiang", "" ], [ "Yu", "Xi", "" ], [ "Yang", "Yan", "" ], [ "Sun", "Jian", "" ], [ "Xu", "Zongben", "" ] ]
The practical Domain Adaptation (DA) tasks, e.g., Partial DA (PDA), open-set DA, universal DA, and test-time adaptation, have gained increasing attention in the machine learning community. In this paper, we propose a novel approach, dubbed Adversarial Reweighting with $\alpha$-Power Maximization (ARPM), for PDA where t...
2007.12329
Yujia Zheng
Siyi Liu and Yujia Zheng
Long-tail Session-based Recommendation
Accepted at RecSys 2020
null
null
null
cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Session-based recommendation focuses on the prediction of user actions based on anonymous sessions and is a necessary method in the lack of user historical data. However, none of the existing session-based recommendation methods explicitly takes the long-tail recommendation into consideration, which plays an importan...
[ { "created": "Fri, 24 Jul 2020 03:36:35 GMT", "version": "v1" }, { "created": "Tue, 4 Aug 2020 02:00:35 GMT", "version": "v2" } ]
2020-08-05
[ [ "Liu", "Siyi", "" ], [ "Zheng", "Yujia", "" ] ]
Session-based recommendation focuses on the prediction of user actions based on anonymous sessions and is a necessary method in the lack of user historical data. However, none of the existing session-based recommendation methods explicitly takes the long-tail recommendation into consideration, which plays an important ...
2112.05379
Zhipeng Wei
Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
Cross-Modal Transferable Adversarial Attacks from Images to Videos
null
null
null
null
cs.CV cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent studies have shown that adversarial examples hand-crafted on one white-box model can be used to attack other black-box models. Such cross-model transferability makes it feasible to perform black-box attacks, which has raised security concerns for real-world DNNs applications. Nevertheless, existing works mostl...
[ { "created": "Fri, 10 Dec 2021 08:19:03 GMT", "version": "v1" } ]
2021-12-13
[ [ "Wei", "Zhipeng", "" ], [ "Chen", "Jingjing", "" ], [ "Wu", "Zuxuan", "" ], [ "Jiang", "Yu-Gang", "" ] ]
Recent studies have shown that adversarial examples hand-crafted on one white-box model can be used to attack other black-box models. Such cross-model transferability makes it feasible to perform black-box attacks, which has raised security concerns for real-world DNNs applications. Nevertheless, existing works mostly ...
2303.08327
Yuanbo Li
Yuanbo Li, Yiqin Wang, Yi Chen, Ziming Yu, and Chong Han
Channel Measurement and Coverage Analysis for NIRS-Aided THz Communications in Indoor Environments
5 figures, 2 tables
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to large reflection and diffraction losses in the THz band, it is arguable to achieve reliable links in the none-line-of-sight (NLoS) cases. Intelligent reflecting surfaces, although are expected to solve the blockage problem and enhance the system connectivity, suffer from fabrication difficulty and operation co...
[ { "created": "Wed, 15 Mar 2023 02:28:13 GMT", "version": "v1" }, { "created": "Tue, 13 Jun 2023 07:23:40 GMT", "version": "v2" } ]
2023-06-14
[ [ "Li", "Yuanbo", "" ], [ "Wang", "Yiqin", "" ], [ "Chen", "Yi", "" ], [ "Yu", "Ziming", "" ], [ "Han", "Chong", "" ] ]
Due to large reflection and diffraction losses in the THz band, it is arguable to achieve reliable links in the none-line-of-sight (NLoS) cases. Intelligent reflecting surfaces, although are expected to solve the blockage problem and enhance the system connectivity, suffer from fabrication difficulty and operation comp...
2404.12014
Jiawei Liu
Zi Xiong, Lizhi Qing, Yangyang Kang, Jiawei Liu, Hongsong Li, Changlong Sun, Xiaozhong Liu, Wei Lu
Enhance Robustness of Language Models Against Variation Attack through Graph Integration
12 pages, 4 figures, accepted by COLING 2024
null
null
null
cs.CL cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The widespread use of pre-trained language models (PLMs) in natural language processing (NLP) has greatly improved performance outcomes. However, these models' vulnerability to adversarial attacks (e.g., camouflaged hints from drug dealers), particularly in the Chinese language with its rich character diversity/varia...
[ { "created": "Thu, 18 Apr 2024 09:04:39 GMT", "version": "v1" } ]
2024-04-19
[ [ "Xiong", "Zi", "" ], [ "Qing", "Lizhi", "" ], [ "Kang", "Yangyang", "" ], [ "Liu", "Jiawei", "" ], [ "Li", "Hongsong", "" ], [ "Sun", "Changlong", "" ], [ "Liu", "Xiaozhong", "" ], [ "Lu", "Wei"...
The widespread use of pre-trained language models (PLMs) in natural language processing (NLP) has greatly improved performance outcomes. However, these models' vulnerability to adversarial attacks (e.g., camouflaged hints from drug dealers), particularly in the Chinese language with its rich character diversity/variati...
2307.08499
Zhiling Yue
Zhiling Yue, Howard H. Yang, Meng Zhang, and Nikolaos Pappas
Age of Information in Locally Adaptive Frame Slotted ALOHA
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We consider a random access network consisting of source-destination pairs. Each source node generates status updates and transmits this information to its intended destination over a shared spectrum. The goal is to minimize the network-wide Age of Information (AoI). We develop a frame slotted ALOHA (FSA)-based polic...
[ { "created": "Mon, 17 Jul 2023 14:03:13 GMT", "version": "v1" } ]
2023-07-18
[ [ "Yue", "Zhiling", "" ], [ "Yang", "Howard H.", "" ], [ "Zhang", "Meng", "" ], [ "Pappas", "Nikolaos", "" ] ]
We consider a random access network consisting of source-destination pairs. Each source node generates status updates and transmits this information to its intended destination over a shared spectrum. The goal is to minimize the network-wide Age of Information (AoI). We develop a frame slotted ALOHA (FSA)-based policy ...
2306.11990
Chengxu Duan
Chengxu Duan, Zhicheng Zhang, Xiaoli Liu, Yonghao Dang and Jianqin Yin
Physics-constrained Attack against Convolution-based Human Motion Prediction
null
null
10.1016/j.neucom.2024.127272
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human motion prediction has achieved a brilliant performance with the help of convolution-based neural networks. However, currently, there is no work evaluating the potential risk in human motion prediction when facing adversarial attacks. The adversarial attack will encounter problems against human motion prediction...
[ { "created": "Wed, 21 Jun 2023 03:01:45 GMT", "version": "v1" }, { "created": "Mon, 3 Jul 2023 08:09:58 GMT", "version": "v2" }, { "created": "Mon, 15 Jan 2024 02:09:08 GMT", "version": "v3" } ]
2024-03-27
[ [ "Duan", "Chengxu", "" ], [ "Zhang", "Zhicheng", "" ], [ "Liu", "Xiaoli", "" ], [ "Dang", "Yonghao", "" ], [ "Yin", "Jianqin", "" ] ]
Human motion prediction has achieved a brilliant performance with the help of convolution-based neural networks. However, currently, there is no work evaluating the potential risk in human motion prediction when facing adversarial attacks. The adversarial attack will encounter problems against human motion prediction i...
2111.07024
Martin P. Seybold
Milutin Brankovic, Martin P. Seybold
Optimal Window Queries on Line Segments using the Trapezoidal Search DAG
Added proceedings reference
Proc. of Computing and Combinatorics (COCOON 2022). Lecture Notes in Computer Science, vol 13595
10.1007/978-3-031-22105-7_46
null
cs.CG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new query application for the well-known Trapezoidal Search DAG (TSD) of a set of $n$~line segments in the plane, where queries are allowed to be {\em vertical line segments}. We show that a simple Depth-First Search reports the $k$ trapezoids that are intersected by the query segment in $O(k+\log n)$ ...
[ { "created": "Sat, 13 Nov 2021 03:11:27 GMT", "version": "v1" }, { "created": "Mon, 13 Dec 2021 04:24:52 GMT", "version": "v2" }, { "created": "Sat, 13 Jan 2024 16:58:01 GMT", "version": "v3" } ]
2024-01-17
[ [ "Brankovic", "Milutin", "" ], [ "Seybold", "Martin P.", "" ] ]
We propose a new query application for the well-known Trapezoidal Search DAG (TSD) of a set of $n$~line segments in the plane, where queries are allowed to be {\em vertical line segments}. We show that a simple Depth-First Search reports the $k$ trapezoids that are intersected by the query segment in $O(k+\log n)$ expe...
1506.02717
Paul Kirchner
Paul Kirchner and Pierre-Alain Fouque
An Improved BKW Algorithm for LWE with Applications to Cryptography and Lattices
CRYPTO 2015
null
null
null
cs.CR cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the Learning With Errors problem and its binary variant, where secrets and errors are binary or taken in a small interval. We introduce a new variant of the Blum, Kalai and Wasserman algorithm, relying on a quantization step that generalizes and fine-tunes modulus switching. In general this ne...
[ { "created": "Mon, 8 Jun 2015 22:22:25 GMT", "version": "v1" }, { "created": "Mon, 15 Jun 2015 19:53:27 GMT", "version": "v2" }, { "created": "Mon, 22 Jun 2015 22:16:33 GMT", "version": "v3" }, { "created": "Mon, 29 Jun 2015 23:24:59 GMT", "version": "v4" } ]
2015-07-01
[ [ "Kirchner", "Paul", "" ], [ "Fouque", "Pierre-Alain", "" ] ]
In this paper, we study the Learning With Errors problem and its binary variant, where secrets and errors are binary or taken in a small interval. We introduce a new variant of the Blum, Kalai and Wasserman algorithm, relying on a quantization step that generalizes and fine-tunes modulus switching. In general this new ...
0705.1455
Jerome Darmont
Fadila Bentayeb (ERIC), J\'er\^ome Darmont (ERIC)
Decision tree modeling with relational views
null
LNAI, Vol. 2366 (06/2002) 423-431
null
null
cs.DB
null
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to apply various mining algorithms efficiently on large databases. However, a serious problem in their practical application is the long processin...
[ { "created": "Thu, 10 May 2007 12:25:57 GMT", "version": "v1" } ]
2007-05-23
[ [ "Bentayeb", "Fadila", "", "ERIC" ], [ "Darmont", "Jérôme", "", "ERIC" ] ]
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to apply various mining algorithms efficiently on large databases. However, a serious problem in their practical application is the long processing ...
2005.11994
Pradipta Biswas
Vinay Krishna Sharma, L.R.D. Murthy, KamalPreet Singh Saluja, Vimal Mollyn, Gourav Sharma and Pradipta Biswas
Eye Gaze Controlled Robotic Arm for Persons with SSMI
Citation: VK Sharma, KPS Saluja, LRD Murthy, G Sharma and P Biswas, Webcam Controlled Robotic Arm for Persons with SSMI, Technology and Disability 32 (3), IOS Press 2020 [Official journal of EU AAATE association]
null
10.3233/TAD-200264
null
cs.HC cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background: People with severe speech and motor impairment (SSMI) often uses a technique called eye pointing to communicate with outside world. One of their parents, caretakers or teachers hold a printed board in front of them and by analyzing their eye gaze manually, their intentions are interpreted. This technique ...
[ { "created": "Mon, 25 May 2020 09:23:20 GMT", "version": "v1" } ]
2020-05-26
[ [ "Sharma", "Vinay Krishna", "" ], [ "Murthy", "L. R. D.", "" ], [ "Saluja", "KamalPreet Singh", "" ], [ "Mollyn", "Vimal", "" ], [ "Sharma", "Gourav", "" ], [ "Biswas", "Pradipta", "" ] ]
Background: People with severe speech and motor impairment (SSMI) often uses a technique called eye pointing to communicate with outside world. One of their parents, caretakers or teachers hold a printed board in front of them and by analyzing their eye gaze manually, their intentions are interpreted. This technique is...