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2303.06823
Atul Dhingra
Atul Dhingra, Gaurav Sood
Instate: Predicting the State of Residence From Last Name
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
India has twenty-two official languages. Serving such a diverse language base is a challenge for survey statisticians, call center operators, software developers, and other such service providers. To help provide better services to different language communities via better localization, we introduce a new machine lea...
[ { "created": "Mon, 13 Mar 2023 02:49:50 GMT", "version": "v1" } ]
2023-03-14
[ [ "Dhingra", "Atul", "" ], [ "Sood", "Gaurav", "" ] ]
India has twenty-two official languages. Serving such a diverse language base is a challenge for survey statisticians, call center operators, software developers, and other such service providers. To help provide better services to different language communities via better localization, we introduce a new machine learn...
1103.3933
Tuvi Etzion
Tuvi Etzion
Product Constructions for Perfect Lee Codes
submitted to IEEE Transactions on Information Theory
null
10.1109/TIT.2011.2161133
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A well known conjecture of Golomb and Welch is that the only nontrivial perfect codes in the Lee and Manhattan metrics have length two or minimum distance three. This problem and related topics were subject for extensive research in the last forty years. In this paper two product constructions for perfect Lee codes a...
[ { "created": "Mon, 21 Mar 2011 07:53:53 GMT", "version": "v1" }, { "created": "Wed, 22 Jun 2011 09:47:33 GMT", "version": "v2" } ]
2016-11-17
[ [ "Etzion", "Tuvi", "" ] ]
A well known conjecture of Golomb and Welch is that the only nontrivial perfect codes in the Lee and Manhattan metrics have length two or minimum distance three. This problem and related topics were subject for extensive research in the last forty years. In this paper two product constructions for perfect Lee codes and...
1808.04405
Srayan Datta
Srayan Datta and Eytan Adar
Extracting Inter-community Conflicts in Reddit
21 pages, 7 figures
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Anti-social behaviors in social media can happen both at user and community levels. While a great deal of attention is on the individual as an 'aggressor,' the banning of entire Reddit subcommunities (i.e., subreddits) demonstrates that this is a multi-layer concern. Existing research on inter-community conflict has ...
[ { "created": "Mon, 13 Aug 2018 18:56:27 GMT", "version": "v1" } ]
2018-08-15
[ [ "Datta", "Srayan", "" ], [ "Adar", "Eytan", "" ] ]
Anti-social behaviors in social media can happen both at user and community levels. While a great deal of attention is on the individual as an 'aggressor,' the banning of entire Reddit subcommunities (i.e., subreddits) demonstrates that this is a multi-layer concern. Existing research on inter-community conflict has la...
2401.03256
Subhajit Sahu
Subhajit Sahu
An Incrementally Expanding Approach for Updating PageRank on Dynamic Graphs
11 pages, 14 figures, 1 table
null
null
null
cs.DC cs.PF
http://creativecommons.org/licenses/by-nc-sa/4.0/
PageRank is a popular centrality metric that assigns importance to the vertices of a graph based on its neighbors and their score. Efficient parallel algorithms for updating PageRank on dynamic graphs is crucial for various applications, especially as dataset sizes have reached substantial scales. This technical repo...
[ { "created": "Sat, 6 Jan 2024 16:45:49 GMT", "version": "v1" }, { "created": "Tue, 9 Jan 2024 06:56:23 GMT", "version": "v2" }, { "created": "Fri, 26 Jan 2024 09:37:59 GMT", "version": "v3" } ]
2024-01-29
[ [ "Sahu", "Subhajit", "" ] ]
PageRank is a popular centrality metric that assigns importance to the vertices of a graph based on its neighbors and their score. Efficient parallel algorithms for updating PageRank on dynamic graphs is crucial for various applications, especially as dataset sizes have reached substantial scales. This technical report...
1807.02098
Somdip Dey Mr.
Somdip Dey, Grigorios Kalliatakis, Sangeet Saha, Amit Kumar Singh, Shoaib Ehsan, Klaus McDonald-Maier
MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip
6 pages, 3 figures, 2 tables
2018 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2018)
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Intelligent Transportation Systems (ITS) have become an important pillar in modern "smart city" framework which demands intelligent involvement of machines. Traffic load recognition can be categorized as an important and challenging issue for such systems. Recently, Convolutional Neural Network (CNN) models have draw...
[ { "created": "Thu, 5 Jul 2018 17:35:33 GMT", "version": "v1" }, { "created": "Tue, 14 Aug 2018 23:31:16 GMT", "version": "v2" } ]
2018-08-16
[ [ "Dey", "Somdip", "" ], [ "Kalliatakis", "Grigorios", "" ], [ "Saha", "Sangeet", "" ], [ "Singh", "Amit Kumar", "" ], [ "Ehsan", "Shoaib", "" ], [ "McDonald-Maier", "Klaus", "" ] ]
Intelligent Transportation Systems (ITS) have become an important pillar in modern "smart city" framework which demands intelligent involvement of machines. Traffic load recognition can be categorized as an important and challenging issue for such systems. Recently, Convolutional Neural Network (CNN) models have drawn ...
2002.05886
Jadab Kumar Pal Dr
Jimut Bahan Pal
How to cluster nearest unique nodes from different classes using JJCluster in Wisp application?
A new type of clustering algorithm is built which helps to find the best place for any location by giving a set of preferences to the application. Source code can be found here: https://github.com/Jimut123/wisp
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The work of finding the best place according to user preference is a tedious task. It needs manual research and lot of intuitive process to find the best location according to some earlier knowledge about the place. It is mainly about accessing publicly available spatial data, applying a simple algorithm to summarize...
[ { "created": "Fri, 14 Feb 2020 06:38:01 GMT", "version": "v1" }, { "created": "Mon, 17 Feb 2020 08:42:56 GMT", "version": "v2" } ]
2020-02-18
[ [ "Pal", "Jimut Bahan", "" ] ]
The work of finding the best place according to user preference is a tedious task. It needs manual research and lot of intuitive process to find the best location according to some earlier knowledge about the place. It is mainly about accessing publicly available spatial data, applying a simple algorithm to summarize t...
1405.2652
Ronald Ortner
Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a reinforcement learning setting introduced in (Maillard et al., NIPS 2011) where the learner does not have explicit access to the states of the underlying Markov decision process (MDP). Instead, she has access to several models that map histories of past interactions to states. Here we improve over known...
[ { "created": "Mon, 12 May 2014 07:45:54 GMT", "version": "v1" }, { "created": "Wed, 14 May 2014 12:43:36 GMT", "version": "v2" }, { "created": "Wed, 9 Jul 2014 14:40:20 GMT", "version": "v3" }, { "created": "Mon, 21 Jul 2014 11:52:37 GMT", "version": "v4" }, { "cr...
2014-09-16
[ [ "Ortner", "Ronald", "" ], [ "Maillard", "Odalric-Ambrym", "" ], [ "Ryabko", "Daniil", "" ] ]
We consider a reinforcement learning setting introduced in (Maillard et al., NIPS 2011) where the learner does not have explicit access to the states of the underlying Markov decision process (MDP). Instead, she has access to several models that map histories of past interactions to states. Here we improve over known r...
2009.10373
Michele Linardi
Michele Linardi and Themis Palpanas
Scalable Data Series Subsequence Matching with ULISSE
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data series similarity search is an important operation and at the core of several analysis tasks and applications related to data series collections. Despite the fact that data series indexes enable fast similarity search, all existing indexes can only answer queries of a single length (fixed at index construction t...
[ { "created": "Tue, 22 Sep 2020 08:04:20 GMT", "version": "v1" } ]
2020-09-23
[ [ "Linardi", "Michele", "" ], [ "Palpanas", "Themis", "" ] ]
Data series similarity search is an important operation and at the core of several analysis tasks and applications related to data series collections. Despite the fact that data series indexes enable fast similarity search, all existing indexes can only answer queries of a single length (fixed at index construction tim...
2403.00315
Andr\'es P\'aez
Andr\'es P\'aez
Axe the X in XAI: A Plea for Understandable AI
null
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
In a recent paper, Erasmus et al. (2021) defend the idea that the ambiguity of the term "explanation" in explainable AI (XAI) can be solved by adopting any of four different extant accounts of explanation in the philosophy of science: the Deductive Nomological, Inductive Statistical, Causal Mechanical, and New Mechan...
[ { "created": "Fri, 1 Mar 2024 06:28:53 GMT", "version": "v1" } ]
2024-03-04
[ [ "Páez", "Andrés", "" ] ]
In a recent paper, Erasmus et al. (2021) defend the idea that the ambiguity of the term "explanation" in explainable AI (XAI) can be solved by adopting any of four different extant accounts of explanation in the philosophy of science: the Deductive Nomological, Inductive Statistical, Causal Mechanical, and New Mechanis...
1712.00975
Dat Thanh Tran
Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis
12 pages, 4 figures, 3 tables
null
10.1109/TNNLS.2018.2869225
null
cs.CE cs.LG q-fin.CP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast....
[ { "created": "Mon, 4 Dec 2017 09:41:24 GMT", "version": "v1" } ]
2019-06-11
[ [ "Tran", "Dat Thanh", "" ], [ "Iosifidis", "Alexandros", "" ], [ "Kanniainen", "Juho", "" ], [ "Gabbouj", "Moncef", "" ] ]
Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast. I...
1804.03416
Katarzyna Biesialska
Katarzyna Biesialska, Xavier Franch, Victor Munt\'es-Mulero
Protocol and Tools for Conducting Agile Software Engineering Research in an Industrial-Academic Setting: A Preliminary Study
Accepted to CESI 2018 - International Workshop on Conducting Empirical Studies in Industry (in conjunction with ICSE 2018)
2018 IEEE/ACM 6th International Workshop on Conducting Empirical Studies in Industry (CESI), Gothenburg, 2018, pp. 29-32
10.1145/3193965.3193970
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conducting empirical research in software engineering industry is a process, and as such, it should be generalizable. The aim of this paper is to discuss how academic researchers may address some of the challenges they encounter during conducting empirical research in the software industry by means of a systematic an...
[ { "created": "Tue, 10 Apr 2018 09:31:08 GMT", "version": "v1" } ]
2020-03-17
[ [ "Biesialska", "Katarzyna", "" ], [ "Franch", "Xavier", "" ], [ "Muntés-Mulero", "Victor", "" ] ]
Conducting empirical research in software engineering industry is a process, and as such, it should be generalizable. The aim of this paper is to discuss how academic researchers may address some of the challenges they encounter during conducting empirical research in the software industry by means of a systematic and ...
2003.04117
M. G. Sarwar Murshed
Rashik Shadman, M.G. Sarwar Murshed, Edward Verenich, Alvaro Velasquez, Faraz Hussain
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
5 pages, 3 figure, conference
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with limited datasets. We describe a transfer learning use case for a domain with a data-starved regime, having fewer than 100 labeled target s...
[ { "created": "Sat, 29 Feb 2020 18:48:58 GMT", "version": "v1" }, { "created": "Thu, 28 Dec 2023 15:53:41 GMT", "version": "v2" } ]
2023-12-29
[ [ "Shadman", "Rashik", "" ], [ "Murshed", "M. G. Sarwar", "" ], [ "Verenich", "Edward", "" ], [ "Velasquez", "Alvaro", "" ], [ "Hussain", "Faraz", "" ] ]
The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with limited datasets. We describe a transfer learning use case for a domain with a data-starved regime, having fewer than 100 labeled target sam...
2007.14049
Stephan Lukasczyk
Stephan Lukasczyk and Florian Kroi{\ss} and Gordon Fraser
Automated Unit Test Generation for Python
15 pages, to be published in Proceedings of the 12th Symposium on Search-Based Software Engineering (SSBSE 2020)
null
10.1007/978-3-030-59762-7_2
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated unit test generation is an established research field, and mature test generation tools exist for statically typed programming languages such as Java. It is, however, substantially more difficult to automatically generate supportive tests for dynamically typed programming languages such as Python, due to th...
[ { "created": "Tue, 28 Jul 2020 08:12:23 GMT", "version": "v1" } ]
2020-10-07
[ [ "Lukasczyk", "Stephan", "" ], [ "Kroiß", "Florian", "" ], [ "Fraser", "Gordon", "" ] ]
Automated unit test generation is an established research field, and mature test generation tools exist for statically typed programming languages such as Java. It is, however, substantially more difficult to automatically generate supportive tests for dynamically typed programming languages such as Python, due to the ...
2205.12324
Ferenc Ill\'es
Ferenc Ill\'es
Linearly representable games and pseudo-polynomial calculation of the Shapley value
17 pages
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
We introduce the notion of linearly representable games. Broadly speaking, these are TU games that can be described by as many parameters as the number of players, like weighted voting games, airport games, or bankruptcy games. We show that the Shapley value calculation is pseudo-polynomial for linearly representable...
[ { "created": "Tue, 24 May 2022 19:11:12 GMT", "version": "v1" } ]
2022-05-26
[ [ "Illés", "Ferenc", "" ] ]
We introduce the notion of linearly representable games. Broadly speaking, these are TU games that can be described by as many parameters as the number of players, like weighted voting games, airport games, or bankruptcy games. We show that the Shapley value calculation is pseudo-polynomial for linearly representable g...
1910.13095
Mengjing Chen
Hua Liu and Mengjing Chen and Xiaolong Wang and Zihe Wang
A Game-theoretical Approach to Analyze Film Release Time
11 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Film release dates play an important part in box office revenues because of the facts of obvious seasonality demand in the film industry and severe competition among films shown at the same time. In this paper, we study how film studios choose release time for movies they produce to maximize their box offices. We fir...
[ { "created": "Tue, 29 Oct 2019 05:53:20 GMT", "version": "v1" }, { "created": "Tue, 1 Sep 2020 02:27:19 GMT", "version": "v2" }, { "created": "Mon, 4 Jan 2021 05:46:42 GMT", "version": "v3" } ]
2021-01-05
[ [ "Liu", "Hua", "" ], [ "Chen", "Mengjing", "" ], [ "Wang", "Xiaolong", "" ], [ "Wang", "Zihe", "" ] ]
Film release dates play an important part in box office revenues because of the facts of obvious seasonality demand in the film industry and severe competition among films shown at the same time. In this paper, we study how film studios choose release time for movies they produce to maximize their box offices. We first...
2407.05061
Monika Wysocza\'nska
Monika Wysocza\'nska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzci\'nski, Renaud Marlet, Andrei Bursuc, Oriane Sim\'eoni
A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent VLMs, pre-trained on large amounts of image-text pairs to align both modalities, have opened the way to open-vocabulary semantic segmentation. Given an arbitrary set of textual queries, image regions are assigned the closest query in feature space. However, the usual setup expects the user to list all possible...
[ { "created": "Sat, 6 Jul 2024 12:18:43 GMT", "version": "v1" } ]
2024-07-09
[ [ "Wysoczańska", "Monika", "" ], [ "Vobecky", "Antonin", "" ], [ "Cardiel", "Amaia", "" ], [ "Trzciński", "Tomasz", "" ], [ "Marlet", "Renaud", "" ], [ "Bursuc", "Andrei", "" ], [ "Siméoni", "Oriane", "" ] ...
Recent VLMs, pre-trained on large amounts of image-text pairs to align both modalities, have opened the way to open-vocabulary semantic segmentation. Given an arbitrary set of textual queries, image regions are assigned the closest query in feature space. However, the usual setup expects the user to list all possible v...
1911.06147
Sergio Gast\'on Burdisso
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-G\'omez
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
Highlights: (*) A classifier that is able to dynamically learn and recognize important word n-grams. (*) A novel text classifier having the ability to visually explain its rationale. (*) Support for incremental learning and text classification over streams. (*) Efficient model for addressing early risk detectio...
Pattern Recognition Letters, Elsevier, 2020
10.1016/j.patrec.2020.07.001
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams. It obtained state-of-the-art performance on early depression and anorexia detection on Reddit in the CLEF's eRisk open tasks. SS3 was created to deal with ERD problems naturally ...
[ { "created": "Mon, 11 Nov 2019 22:06:40 GMT", "version": "v1" }, { "created": "Wed, 6 May 2020 23:04:03 GMT", "version": "v2" } ]
2020-07-14
[ [ "Burdisso", "Sergio G.", "" ], [ "Errecalde", "Marcelo", "" ], [ "Montes-y-Gómez", "Manuel", "" ] ]
A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams. It obtained state-of-the-art performance on early depression and anorexia detection on Reddit in the CLEF's eRisk open tasks. SS3 was created to deal with ERD problems naturally si...
2204.03770
Jazlyn Hellman
Jazlyn Hellman, Jiahao Chen, Md. Sami Uddin, Jinghui Cheng, Jin L.C. Guo
Characterizing User Behaviors in Open-Source Software User Forums: An Empirical Study
15th International Conference on Cooperative and Human Aspects of Softare Engineering
null
10.1145/3528579.3529178
null
cs.SE cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
User forums of Open Source Software (OSS) enable end-users to collaboratively discuss problems concerning the OSS applications. Despite decades of research on OSS, we know very little about how end-users engage with OSS communities on these forums, in particular, the challenges that hinder their continuous and meanin...
[ { "created": "Thu, 7 Apr 2022 22:56:18 GMT", "version": "v1" } ]
2022-04-11
[ [ "Hellman", "Jazlyn", "" ], [ "Chen", "Jiahao", "" ], [ "Uddin", "Md. Sami", "" ], [ "Cheng", "Jinghui", "" ], [ "Guo", "Jin L. C.", "" ] ]
User forums of Open Source Software (OSS) enable end-users to collaboratively discuss problems concerning the OSS applications. Despite decades of research on OSS, we know very little about how end-users engage with OSS communities on these forums, in particular, the challenges that hinder their continuous and meaningf...
2110.08649
Avishek Bose
Avishek Joey Bose, Marcus Brubaker, and Ivan Kobyzev
Equivariant Finite Normalizing Flows
Preprint
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative modeling seeks to uncover the underlying factors that give rise to observed data that can often be modeled as the natural symmetries that manifest themselves through invariances and equivariances to certain transformation laws. However, current approaches to representing these symmetries are couched in the...
[ { "created": "Sat, 16 Oct 2021 20:16:00 GMT", "version": "v1" }, { "created": "Fri, 12 Aug 2022 19:12:11 GMT", "version": "v2" } ]
2022-08-16
[ [ "Bose", "Avishek Joey", "" ], [ "Brubaker", "Marcus", "" ], [ "Kobyzev", "Ivan", "" ] ]
Generative modeling seeks to uncover the underlying factors that give rise to observed data that can often be modeled as the natural symmetries that manifest themselves through invariances and equivariances to certain transformation laws. However, current approaches to representing these symmetries are couched in the f...
2210.12539
Tanya Shreedhar
Tanya Shreedhar, Sanjit K. Kaul and Roy D. Yates
ACP+: An Age Control Protocol for the Internet
Under submission. arXiv admin note: text overlap with arXiv:2103.07797, arXiv:1811.03353
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present ACP+, an age control protocol, which is a transport layer protocol that regulates the rate at which update packets from a source are sent over the Internet to a monitor. The source would like to keep the average age of sensed information at the monitor to a minimum, given the network conditions. Extensive ...
[ { "created": "Sat, 22 Oct 2022 20:01:22 GMT", "version": "v1" } ]
2022-10-25
[ [ "Shreedhar", "Tanya", "" ], [ "Kaul", "Sanjit K.", "" ], [ "Yates", "Roy D.", "" ] ]
We present ACP+, an age control protocol, which is a transport layer protocol that regulates the rate at which update packets from a source are sent over the Internet to a monitor. The source would like to keep the average age of sensed information at the monitor to a minimum, given the network conditions. Extensive ex...
2406.08816
Manish Kumar Singh
Manish Kumar Singh, Rajeev Yasarla, Hong Cai, Mingu Lee, Fatih Porikli
ToSA: Token Selective Attention for Efficient Vision Transformers
Accepted at CVPRW 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose a novel token selective attention approach, ToSA, which can identify tokens that need to be attended as well as those that can skip a transformer layer. More specifically, a token selector parses the current attention maps and predicts the attention maps for the next layer, which are then us...
[ { "created": "Thu, 13 Jun 2024 05:17:21 GMT", "version": "v1" } ]
2024-06-14
[ [ "Singh", "Manish Kumar", "" ], [ "Yasarla", "Rajeev", "" ], [ "Cai", "Hong", "" ], [ "Lee", "Mingu", "" ], [ "Porikli", "Fatih", "" ] ]
In this paper, we propose a novel token selective attention approach, ToSA, which can identify tokens that need to be attended as well as those that can skip a transformer layer. More specifically, a token selector parses the current attention maps and predicts the attention maps for the next layer, which are then used...
2406.03253
Sreeram Vennam
Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru
Generating Explanations for Cellular Neural Networks
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent advancements in graph learning contributed to explaining predictions generated by Graph Neural Networks. However, existing methodologies often fall short when applied to real-world datasets. We introduce HOGE, a framework to capture higher-order structures using cell complexes, which excel at modeling higher-o...
[ { "created": "Wed, 5 Jun 2024 13:31:30 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2024 01:42:52 GMT", "version": "v2" }, { "created": "Wed, 24 Jul 2024 18:22:22 GMT", "version": "v3" } ]
2024-07-26
[ [ "Sinha", "Akshit", "" ], [ "Vennam", "Sreeram", "" ], [ "Sharma", "Charu", "" ], [ "Kumaraguru", "Ponnurangam", "" ] ]
Recent advancements in graph learning contributed to explaining predictions generated by Graph Neural Networks. However, existing methodologies often fall short when applied to real-world datasets. We introduce HOGE, a framework to capture higher-order structures using cell complexes, which excel at modeling higher-ord...
2012.15355
Peng Xu
Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J.D. Prince, Yanshuai Cao
Optimizing Deeper Transformers on Small Datasets
Accepted at ACL 2021 main conference
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
It is a common belief that training deep transformers from scratch requires large datasets. Consequently, for small datasets, people usually use shallow and simple additional layers on top of pre-trained models during fine-tuning. This work shows that this does not always need to be the case: with proper initializati...
[ { "created": "Wed, 30 Dec 2020 22:53:49 GMT", "version": "v1" }, { "created": "Wed, 19 May 2021 17:12:23 GMT", "version": "v2" }, { "created": "Thu, 27 May 2021 16:53:14 GMT", "version": "v3" }, { "created": "Mon, 31 May 2021 16:45:47 GMT", "version": "v4" } ]
2021-06-01
[ [ "Xu", "Peng", "" ], [ "Kumar", "Dhruv", "" ], [ "Yang", "Wei", "" ], [ "Zi", "Wenjie", "" ], [ "Tang", "Keyi", "" ], [ "Huang", "Chenyang", "" ], [ "Cheung", "Jackie Chi Kit", "" ], [ "Prince", ...
It is a common belief that training deep transformers from scratch requires large datasets. Consequently, for small datasets, people usually use shallow and simple additional layers on top of pre-trained models during fine-tuning. This work shows that this does not always need to be the case: with proper initialization...
1905.07512
Daniel Gordon
Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose SplitNet, a method for decoupling visual perception and policy learning. By incorporating auxiliary tasks and selective learning of portions of the model, we explicitly decompose the learning objectives for visual navigation into perceiving the world and acting on that perception. We show dramatic improvem...
[ { "created": "Sat, 18 May 2019 00:57:19 GMT", "version": "v1" }, { "created": "Tue, 21 May 2019 00:50:54 GMT", "version": "v2" }, { "created": "Wed, 23 Oct 2019 19:07:16 GMT", "version": "v3" } ]
2019-10-25
[ [ "Gordon", "Daniel", "" ], [ "Kadian", "Abhishek", "" ], [ "Parikh", "Devi", "" ], [ "Hoffman", "Judy", "" ], [ "Batra", "Dhruv", "" ] ]
We propose SplitNet, a method for decoupling visual perception and policy learning. By incorporating auxiliary tasks and selective learning of portions of the model, we explicitly decompose the learning objectives for visual navigation into perceiving the world and acting on that perception. We show dramatic improvemen...
1705.04981
Bing Li
Bing Li, Ning Chen, Yang Xu, Ulf Schlichtmann
On Timing Model Extraction and Hierarchical Statistical Timing Analysis
null
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 32(3), 367-380, March 2013
10.1109/TCAD.2012.2228305
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the challenges to apply Statistical Static Timing Analysis (SSTA) in hierarchical design flow, where modules supplied by IP vendors are used to hide design details for IP protection and to reduce the complexity of design and verification. For the three basic circuit types, combinational,...
[ { "created": "Sun, 14 May 2017 15:49:14 GMT", "version": "v1" } ]
2017-05-16
[ [ "Li", "Bing", "" ], [ "Chen", "Ning", "" ], [ "Xu", "Yang", "" ], [ "Schlichtmann", "Ulf", "" ] ]
In this paper, we investigate the challenges to apply Statistical Static Timing Analysis (SSTA) in hierarchical design flow, where modules supplied by IP vendors are used to hide design details for IP protection and to reduce the complexity of design and verification. For the three basic circuit types, combinational, f...
1706.08436
Juan Garcia Torres
Juan Garcia-Torres, Diana Caro-Prieto
Image Processing in Floriculture Using a robotic Mobile Platform
4 Pages, Paper made at Fundacion Universitaria Agraria de Colombia
null
null
null
cs.CY cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Colombia has a privileged geographical location which makes it a cornerstone and equidistant point to all regional markets. The country has a great ecological diversity and it is one of the largest suppliers of flowers for US. Colombian flower companies have made innovations in the marketing process, using methods to...
[ { "created": "Mon, 26 Jun 2017 15:21:44 GMT", "version": "v1" } ]
2017-06-27
[ [ "Garcia-Torres", "Juan", "" ], [ "Caro-Prieto", "Diana", "" ] ]
Colombia has a privileged geographical location which makes it a cornerstone and equidistant point to all regional markets. The country has a great ecological diversity and it is one of the largest suppliers of flowers for US. Colombian flower companies have made innovations in the marketing process, using methods to r...
2003.06518
Jie Ying Wu
Jie Ying Wu, Peter Kazanzides, Mathias Unberath
Leveraging Vision and Kinematics Data to Improve Realism of Biomechanic Soft-tissue Simulation for Robotic Surgery
12 pages, 4 figures, to be published in IJCARS IPCAI special edition 2020
null
10.1007/s11548-020-02139-6
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose Surgical simulations play an increasingly important role in surgeon education and developing algorithms that enable robots to perform surgical subtasks. To model anatomy, Finite Element Method (FEM) simulations have been held as the gold standard for calculating accurate soft-tissue deformation. Unfortunately...
[ { "created": "Sat, 14 Mar 2020 00:16:08 GMT", "version": "v1" } ]
2020-03-27
[ [ "Wu", "Jie Ying", "" ], [ "Kazanzides", "Peter", "" ], [ "Unberath", "Mathias", "" ] ]
Purpose Surgical simulations play an increasingly important role in surgeon education and developing algorithms that enable robots to perform surgical subtasks. To model anatomy, Finite Element Method (FEM) simulations have been held as the gold standard for calculating accurate soft-tissue deformation. Unfortunately, ...
2402.14154
Yiqiao Jin
Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms
In Proceedings of ACL 2024
null
null
null
cs.CL cs.CV cs.CY
http://creativecommons.org/licenses/by/4.0/
Social media platforms are hubs for multimodal information exchange, encompassing text, images, and videos, making it challenging for machines to comprehend the information or emotions associated with interactions in online spaces. Multimodal Large Language Models (MLLMs) have emerged as a promising solution to these...
[ { "created": "Wed, 21 Feb 2024 22:27:40 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 15:19:20 GMT", "version": "v2" } ]
2024-07-25
[ [ "Jin", "Yiqiao", "" ], [ "Choi", "Minje", "" ], [ "Verma", "Gaurav", "" ], [ "Wang", "Jindong", "" ], [ "Kumar", "Srijan", "" ] ]
Social media platforms are hubs for multimodal information exchange, encompassing text, images, and videos, making it challenging for machines to comprehend the information or emotions associated with interactions in online spaces. Multimodal Large Language Models (MLLMs) have emerged as a promising solution to these c...
2404.05128
Nazifa Khan
Nazifa Azam Khan, Mikolaj Cieslak, Ian McQuillan
Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial neural networks are often used to identify features of crop plants. However, training their models requires many annotated images, which can be expensive and time-consuming to acquire. Procedural models of plants, such as those developed with Lindenmayer-systems (L-systems) can be created to produce visual...
[ { "created": "Mon, 8 Apr 2024 01:08:41 GMT", "version": "v1" }, { "created": "Wed, 15 May 2024 16:55:03 GMT", "version": "v2" } ]
2024-05-16
[ [ "Khan", "Nazifa Azam", "" ], [ "Cieslak", "Mikolaj", "" ], [ "McQuillan", "Ian", "" ] ]
Artificial neural networks are often used to identify features of crop plants. However, training their models requires many annotated images, which can be expensive and time-consuming to acquire. Procedural models of plants, such as those developed with Lindenmayer-systems (L-systems) can be created to produce visually...
1602.02509
Wouter Bokslag
Wouter Bokslag, Manon de Vries
Evaluating e-voting: theory and practice
19 pages
null
null
null
cs.CY cs.CR
http://creativecommons.org/licenses/by-sa/4.0/
In the Netherlands as well as many other countries, the use of electronic voting solutions is a recurrent topic of discussion. While electronic voting certainly has advantages over paper voting, there are also important risks involved. This paper presents an analysis of benefits and risks of electronic voting, and sh...
[ { "created": "Mon, 8 Feb 2016 09:47:04 GMT", "version": "v1" } ]
2016-02-09
[ [ "Bokslag", "Wouter", "" ], [ "de Vries", "Manon", "" ] ]
In the Netherlands as well as many other countries, the use of electronic voting solutions is a recurrent topic of discussion. While electronic voting certainly has advantages over paper voting, there are also important risks involved. This paper presents an analysis of benefits and risks of electronic voting, and show...
2010.11522
Jiaoyan Chen
Ziheng Zhang and Jiaoyan Chen and Xi Chen and Hualuo Liu and Yuejia Xiang and Bo Liu and Yefeng Zheng
An Industry Evaluation of Embedding-based Entity Alignment
accepted by COLING 2020
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Embedding-based entity alignment has been widely investigated in recent years, but most proposed methods still rely on an ideal supervised learning setting with a large number of unbiased seed mappings for training and validation, which significantly limits their usage. In this study, we evaluate those state-of-the-a...
[ { "created": "Thu, 22 Oct 2020 08:33:58 GMT", "version": "v1" }, { "created": "Sat, 7 Nov 2020 12:25:10 GMT", "version": "v2" } ]
2020-11-10
[ [ "Zhang", "Ziheng", "" ], [ "Chen", "Jiaoyan", "" ], [ "Chen", "Xi", "" ], [ "Liu", "Hualuo", "" ], [ "Xiang", "Yuejia", "" ], [ "Liu", "Bo", "" ], [ "Zheng", "Yefeng", "" ] ]
Embedding-based entity alignment has been widely investigated in recent years, but most proposed methods still rely on an ideal supervised learning setting with a large number of unbiased seed mappings for training and validation, which significantly limits their usage. In this study, we evaluate those state-of-the-art...
2106.07296
Rafel Palliser Sans
Rafel Palliser-Sans
RRULES: An improvement of the RULES rule-based classifier
6 pages, 2 algorithms
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
RRULES is presented as an improvement and optimization over RULES, a simple inductive learning algorithm for extracting IF-THEN rules from a set of training examples. RRULES optimizes the algorithm by implementing a more effective mechanism to detect irrelevant rules, at the same time that checks the stopping conditi...
[ { "created": "Mon, 14 Jun 2021 10:42:12 GMT", "version": "v1" } ]
2021-06-15
[ [ "Palliser-Sans", "Rafel", "" ] ]
RRULES is presented as an improvement and optimization over RULES, a simple inductive learning algorithm for extracting IF-THEN rules from a set of training examples. RRULES optimizes the algorithm by implementing a more effective mechanism to detect irrelevant rules, at the same time that checks the stopping condition...
1804.05966
Kyle Kloster
Eric Horton, Kyle Kloster, Blair D. Sullivan
Subgraph centrality and walk-regularity
23 pages, 2 figures, links to software repository
null
null
null
cs.SI physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
Matrix-based centrality measures have enjoyed significant popularity in network analysis, in no small part due to our ability to rigorously analyze their behavior as parameters vary. Recent work has considered the relationship between subgraph centrality, which is defined using the matrix exponential $f(x) = \exp(x)$...
[ { "created": "Mon, 16 Apr 2018 22:56:46 GMT", "version": "v1" }, { "created": "Mon, 29 Oct 2018 15:25:14 GMT", "version": "v2" }, { "created": "Mon, 4 Feb 2019 22:27:40 GMT", "version": "v3" } ]
2019-02-06
[ [ "Horton", "Eric", "" ], [ "Kloster", "Kyle", "" ], [ "Sullivan", "Blair D.", "" ] ]
Matrix-based centrality measures have enjoyed significant popularity in network analysis, in no small part due to our ability to rigorously analyze their behavior as parameters vary. Recent work has considered the relationship between subgraph centrality, which is defined using the matrix exponential $f(x) = \exp(x)$, ...
1103.0087
Ephzibah Ep
E.P.Ephzibah
Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A way to enhance the performance of a model that combines genetic algorithms and fuzzy logic for feature selection and classification is proposed. Early diagnosis of any disease with less cost is preferable. Diabetes is one such disease. Diabetes has become the fourth leading cause of death in developed countries and...
[ { "created": "Tue, 1 Mar 2011 06:10:18 GMT", "version": "v1" } ]
2011-03-02
[ [ "Ephzibah", "E. P.", "" ] ]
A way to enhance the performance of a model that combines genetic algorithms and fuzzy logic for feature selection and classification is proposed. Early diagnosis of any disease with less cost is preferable. Diabetes is one such disease. Diabetes has become the fourth leading cause of death in developed countries and t...
1308.6807
Joohwan Kim
Joohwan Kim and R. Srikant
Achieving the Optimal Steaming Capacity and Delay Using Random Regular Digraphs in P2P Networks
null
null
null
null
cs.NI cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In earlier work, we showed that it is possible to achieve $O(\log N)$ streaming delay with high probability in a peer-to-peer network, where each peer has as little as four neighbors, while achieving any arbitrary fraction of the maximum possible streaming rate. However, the constant in the $O(log N)$ delay term beco...
[ { "created": "Fri, 30 Aug 2013 17:49:55 GMT", "version": "v1" } ]
2013-09-02
[ [ "Kim", "Joohwan", "" ], [ "Srikant", "R.", "" ] ]
In earlier work, we showed that it is possible to achieve $O(\log N)$ streaming delay with high probability in a peer-to-peer network, where each peer has as little as four neighbors, while achieving any arbitrary fraction of the maximum possible streaming rate. However, the constant in the $O(log N)$ delay term become...
2301.00621
Dor Tsur
Dor Tsur, Ziv Aharoni, Ziv Goldfeld and Haim Permuter
Data-Driven Optimization of Directed Information over Discrete Alphabets
null
null
null
null
cs.IT cs.LG math.IT
http://creativecommons.org/licenses/by/4.0/
Directed information (DI) is a fundamental measure for the study and analysis of sequential stochastic models. In particular, when optimized over input distributions it characterizes the capacity of general communication channels. However, analytic computation of DI is typically intractable and existing optimization ...
[ { "created": "Mon, 2 Jan 2023 12:25:40 GMT", "version": "v1" } ]
2023-01-03
[ [ "Tsur", "Dor", "" ], [ "Aharoni", "Ziv", "" ], [ "Goldfeld", "Ziv", "" ], [ "Permuter", "Haim", "" ] ]
Directed information (DI) is a fundamental measure for the study and analysis of sequential stochastic models. In particular, when optimized over input distributions it characterizes the capacity of general communication channels. However, analytic computation of DI is typically intractable and existing optimization te...
1908.08044
Jian Yao
Jian Yao and Ahmad Al-Dahle
Coarse-to-fine Optimization for Speech Enhancement
null
Interspeech 2019
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose the coarse-to-fine optimization for the task of speech enhancement. Cosine similarity loss [1] has proven to be an effective metric to measure similarity of speech signals. However, due to the large variance of the enhanced speech with even the same cosine similarity loss in high dimensional...
[ { "created": "Wed, 21 Aug 2019 17:51:29 GMT", "version": "v1" } ]
2019-08-23
[ [ "Yao", "Jian", "" ], [ "Al-Dahle", "Ahmad", "" ] ]
In this paper, we propose the coarse-to-fine optimization for the task of speech enhancement. Cosine similarity loss [1] has proven to be an effective metric to measure similarity of speech signals. However, due to the large variance of the enhanced speech with even the same cosine similarity loss in high dimensional s...
2111.04308
Cedric Cook
Cedric Cook
Learning Context-Aware Representations of Subtrees
36 pages, 12 Figures. This work was carried out as a Master Thesis at Klarna Bank AB, under supervision of Stefan Magureanu
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
This thesis tackles the problem of learning efficient representations of complex, structured data with a natural application to web page and element classification. We hypothesise that the context around the element inside the web page is of high value to the problem and is currently under exploited. This thesis aims...
[ { "created": "Mon, 8 Nov 2021 07:43:14 GMT", "version": "v1" } ]
2021-11-09
[ [ "Cook", "Cedric", "" ] ]
This thesis tackles the problem of learning efficient representations of complex, structured data with a natural application to web page and element classification. We hypothesise that the context around the element inside the web page is of high value to the problem and is currently under exploited. This thesis aims t...
2402.17358
Xinyu Lu
Xinyu Lu, Bowen Yu, Yaojie Lu, Hongyu Lin, Haiyang Yu, Le Sun, Xianpei Han, Yongbin Li
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The alignment problem in Large Language Models (LLMs) involves adapting them to the broad spectrum of human values. This requirement challenges existing alignment methods due to diversity of preferences and regulatory standards. This paper introduces a novel alignment paradigm, priority rule following, which defines ...
[ { "created": "Tue, 27 Feb 2024 09:52:27 GMT", "version": "v1" } ]
2024-02-28
[ [ "Lu", "Xinyu", "" ], [ "Yu", "Bowen", "" ], [ "Lu", "Yaojie", "" ], [ "Lin", "Hongyu", "" ], [ "Yu", "Haiyang", "" ], [ "Sun", "Le", "" ], [ "Han", "Xianpei", "" ], [ "Li", "Yongbin", "" ]...
The alignment problem in Large Language Models (LLMs) involves adapting them to the broad spectrum of human values. This requirement challenges existing alignment methods due to diversity of preferences and regulatory standards. This paper introduces a novel alignment paradigm, priority rule following, which defines ru...
2006.01080
Alina Karakanta
Alina Karakanta, Matteo Negri, Marco Turchi
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?
Accepted at IWSLT 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Subtitling is becoming increasingly important for disseminating information, given the enormous amounts of audiovisual content becoming available daily. Although Neural Machine Translation (NMT) can speed up the process of translating audiovisual content, large manual effort is still required for transcribing the sou...
[ { "created": "Mon, 1 Jun 2020 17:02:28 GMT", "version": "v1" } ]
2020-06-02
[ [ "Karakanta", "Alina", "" ], [ "Negri", "Matteo", "" ], [ "Turchi", "Marco", "" ] ]
Subtitling is becoming increasingly important for disseminating information, given the enormous amounts of audiovisual content becoming available daily. Although Neural Machine Translation (NMT) can speed up the process of translating audiovisual content, large manual effort is still required for transcribing the sourc...
1606.03507
Tahir Hameed
Tahir Hameed and Bobby Swar
Social value and information quality in online health information search
Research-in-progress ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)
null
null
ACIS/2015/196
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper extends and validates a model of value-driven online healthcare information search in online shared contexts. Perceived value is an important factor behind users' decisions concerning search, consumption and reuse of products and services. The role of utilitarian, hedonic and epistemic value of information...
[ { "created": "Sat, 11 Jun 2016 00:12:51 GMT", "version": "v1" } ]
2016-06-14
[ [ "Hameed", "Tahir", "" ], [ "Swar", "Bobby", "" ] ]
This paper extends and validates a model of value-driven online healthcare information search in online shared contexts. Perceived value is an important factor behind users' decisions concerning search, consumption and reuse of products and services. The role of utilitarian, hedonic and epistemic value of information i...
2103.04942
Ioannis Exarchos
Ioannis Exarchos, Karen Wang, Brian H. Do, Fabio Stroppa, Margaret M. Coad, Allison M. Okamura, and C. Karen Liu
Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Soft robot serial chain manipulators with the capability for growth, stiffness control, and discrete joints have the potential to approach the dexterity of traditional robot arms, while improving safety, lowering cost, and providing an increased workspace, with potential application in home environments. This paper p...
[ { "created": "Mon, 8 Mar 2021 18:00:27 GMT", "version": "v1" }, { "created": "Wed, 22 Sep 2021 17:10:42 GMT", "version": "v2" } ]
2021-09-23
[ [ "Exarchos", "Ioannis", "" ], [ "Wang", "Karen", "" ], [ "Do", "Brian H.", "" ], [ "Stroppa", "Fabio", "" ], [ "Coad", "Margaret M.", "" ], [ "Okamura", "Allison M.", "" ], [ "Liu", "C. Karen", "" ] ]
Soft robot serial chain manipulators with the capability for growth, stiffness control, and discrete joints have the potential to approach the dexterity of traditional robot arms, while improving safety, lowering cost, and providing an increased workspace, with potential application in home environments. This paper pre...
1711.06964
Amitabha Roy
Amitabha Roy, Subramanya R. Dulloor
Cyclone: High Availability for Persistent Key Value Stores
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Persistent key value stores are an important component of many distributed data serving solutions with innovations targeted at taking advantage of growing flash speeds. Unfortunately their performance is hampered by the need to maintain and replicate a write ahead log to guarantee availability in the face of machine ...
[ { "created": "Sun, 19 Nov 2017 04:07:34 GMT", "version": "v1" } ]
2017-11-21
[ [ "Roy", "Amitabha", "" ], [ "Dulloor", "Subramanya R.", "" ] ]
Persistent key value stores are an important component of many distributed data serving solutions with innovations targeted at taking advantage of growing flash speeds. Unfortunately their performance is hampered by the need to maintain and replicate a write ahead log to guarantee availability in the face of machine an...
1405.0320
Jan Verschelde
Danko Adrovic and Jan Verschelde
Computing all Affine Solution Sets of Binomial Systems
4 page extended abstract accepted by EACA 2014, a conference on Computer Algebra and its Applications
null
null
null
cs.SC cs.MS math.AG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To compute solutions of sparse polynomial systems efficiently we have to exploit the structure of their Newton polytopes. While the application of polyhedral methods naturally excludes solutions with zero components, an irreducible decomposition of a variety is typically understood in affine space, including also tho...
[ { "created": "Thu, 1 May 2014 23:00:24 GMT", "version": "v1" } ]
2014-05-05
[ [ "Adrovic", "Danko", "" ], [ "Verschelde", "Jan", "" ] ]
To compute solutions of sparse polynomial systems efficiently we have to exploit the structure of their Newton polytopes. While the application of polyhedral methods naturally excludes solutions with zero components, an irreducible decomposition of a variety is typically understood in affine space, including also those...
1710.04578
Dongyao Chen
Dongyao Chen, Kyong-Tak Cho, Kang G. Shin
Mobile IMUs Reveal Driver's Identity From Vehicle Turns
15 pages, 15 figures
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As vehicle maneuver data becomes abundant for assisted or autonomous driving, their implication of privacy invasion/leakage has become an increasing concern. In particular, the surface for fingerprinting a driver will expand significantly if the driver's identity can be linked with the data collected from his mobile ...
[ { "created": "Thu, 12 Oct 2017 15:49:35 GMT", "version": "v1" } ]
2017-10-13
[ [ "Chen", "Dongyao", "" ], [ "Cho", "Kyong-Tak", "" ], [ "Shin", "Kang G.", "" ] ]
As vehicle maneuver data becomes abundant for assisted or autonomous driving, their implication of privacy invasion/leakage has become an increasing concern. In particular, the surface for fingerprinting a driver will expand significantly if the driver's identity can be linked with the data collected from his mobile or...
2305.17581
Mher Safaryan
Mher Safaryan and Alexandra Peste and Dan Alistarh
Knowledge Distillation Performs Partial Variance Reduction
15+22 pages, NeurIPS 2023
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge distillation is a popular approach for enhancing the performance of ''student'' models, with lower representational capacity, by taking advantage of more powerful ''teacher'' models. Despite its apparent simplicity and widespread use, the underlying mechanics behind knowledge distillation (KD) are still not...
[ { "created": "Sat, 27 May 2023 21:25:55 GMT", "version": "v1" }, { "created": "Fri, 8 Dec 2023 22:08:09 GMT", "version": "v2" } ]
2023-12-12
[ [ "Safaryan", "Mher", "" ], [ "Peste", "Alexandra", "" ], [ "Alistarh", "Dan", "" ] ]
Knowledge distillation is a popular approach for enhancing the performance of ''student'' models, with lower representational capacity, by taking advantage of more powerful ''teacher'' models. Despite its apparent simplicity and widespread use, the underlying mechanics behind knowledge distillation (KD) are still not f...
2111.02120
Raheel Qader
Melissa Ailem, Jinghsu Liu, Raheel Qader
Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper describes Lingua Custodia's submission to the WMT21 shared task on machine translation using terminologies. We consider three directions, namely English to French, Russian, and Chinese. We rely on a Transformer-based architecture as a building block, and we explore a method which introduces two main change...
[ { "created": "Wed, 3 Nov 2021 10:36:32 GMT", "version": "v1" } ]
2021-11-04
[ [ "Ailem", "Melissa", "" ], [ "Liu", "Jinghsu", "" ], [ "Qader", "Raheel", "" ] ]
This paper describes Lingua Custodia's submission to the WMT21 shared task on machine translation using terminologies. We consider three directions, namely English to French, Russian, and Chinese. We rely on a Transformer-based architecture as a building block, and we explore a method which introduces two main changes ...
1404.4560
Lane A. Hemaspaandra
Edith Hemaspaandra and Lane A. Hemaspaandra and Henning Schnoor
A Control Dichotomy for Pure Scoring Rules
A shorter version of this paper will appear in the proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2014)
null
null
null
cs.GT cs.CC cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scoring systems are an extremely important class of election systems. A length-$m$ (so-called) scoring vector applies only to $m$-candidate elections. To handle general elections, one must use a family of vectors, one per length. The most elegant approach to making sure such families are "family-like" is the recently...
[ { "created": "Thu, 17 Apr 2014 15:38:54 GMT", "version": "v1" } ]
2014-04-18
[ [ "Hemaspaandra", "Edith", "" ], [ "Hemaspaandra", "Lane A.", "" ], [ "Schnoor", "Henning", "" ] ]
Scoring systems are an extremely important class of election systems. A length-$m$ (so-called) scoring vector applies only to $m$-candidate elections. To handle general elections, one must use a family of vectors, one per length. The most elegant approach to making sure such families are "family-like" is the recently i...
0704.3904
Fabien Mathieu
Anh-Tuan Gai (INRIA Rocquencourt), Dmitry Lebedev (FT R&D), Fabien Mathieu (FT R&D), Fabien De Montgolfier (LIAFA), Julien Reynier (LIENS), Laurent Viennot (INRIA Rocquencourt)
Acyclic Preference Systems in P2P Networks
null
null
null
null
cs.DS cs.GT
null
In this work we study preference systems natural for the Peer-to-Peer paradigm. Most of them fall in three categories: global, symmetric and complementary. All these systems share an acyclicity property. As a consequence, they admit a stable (or Pareto efficient) configuration, where no participant can collaborate wi...
[ { "created": "Mon, 30 Apr 2007 09:26:39 GMT", "version": "v1" }, { "created": "Wed, 2 May 2007 13:07:31 GMT", "version": "v2" } ]
2007-05-23
[ [ "Gai", "Anh-Tuan", "", "INRIA Rocquencourt" ], [ "Lebedev", "Dmitry", "", "FT R&D" ], [ "Mathieu", "Fabien", "", "FT R&D" ], [ "De Montgolfier", "Fabien", "", "LIAFA" ], [ "Reynier", "Julien", "", "LIENS" ], [ ...
In this work we study preference systems natural for the Peer-to-Peer paradigm. Most of them fall in three categories: global, symmetric and complementary. All these systems share an acyclicity property. As a consequence, they admit a stable (or Pareto efficient) configuration, where no participant can collaborate with...
2101.09849
Roozbeh Yousefzadeh
Roozbeh Yousefzadeh
Deep Learning Generalization and the Convex Hull of Training Sets
null
null
null
null
cs.LG math.DG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the generalization of deep learning models in relation to the convex hull of their training sets. A trained image classifier basically partitions its domain via decision boundaries and assigns a class to each of those partitions. The location of decision boundaries inside the convex hull of training set can ...
[ { "created": "Mon, 25 Jan 2021 01:54:02 GMT", "version": "v1" } ]
2021-01-26
[ [ "Yousefzadeh", "Roozbeh", "" ] ]
We study the generalization of deep learning models in relation to the convex hull of their training sets. A trained image classifier basically partitions its domain via decision boundaries and assigns a class to each of those partitions. The location of decision boundaries inside the convex hull of training set can be...
1701.03826
Yu Zhang
Yu Zhang, Kanat Tangwongsan and Srikanta Tirthapura
Streaming k-Means Clustering with Fast Queries
null
null
null
null
cs.DS cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present methods for k-means clustering on a stream with a focus on providing fast responses to clustering queries. Compared to the current state-of-the-art, our methods provide substantial improvement in the query time for cluster centers while retaining the desirable properties of provably small approximation err...
[ { "created": "Fri, 13 Jan 2017 20:21:08 GMT", "version": "v1" }, { "created": "Thu, 6 Dec 2018 20:28:18 GMT", "version": "v2" } ]
2018-12-10
[ [ "Zhang", "Yu", "" ], [ "Tangwongsan", "Kanat", "" ], [ "Tirthapura", "Srikanta", "" ] ]
We present methods for k-means clustering on a stream with a focus on providing fast responses to clustering queries. Compared to the current state-of-the-art, our methods provide substantial improvement in the query time for cluster centers while retaining the desirable properties of provably small approximation error...
2212.04264
Kaan Ak\c{s}it
Ahmet G\"uzel, Jeanne Beyazian, Praneeth Chakravarthula and Kaan Ak\c{s}it
ChromaCorrect: Prescription Correction in Virtual Reality Headsets through Perceptual Guidance
12 pages, 9 figures, 1 table, 1 listing
null
null
null
cs.HC cs.GR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
A large portion of today's world population suffer from vision impairments and wear prescription eyeglasses. However, eyeglasses causes additional bulk and discomfort when used with augmented and virtual reality headsets, thereby negatively impacting the viewer's visual experience. In this work, we remedy the usage o...
[ { "created": "Thu, 8 Dec 2022 13:30:17 GMT", "version": "v1" } ]
2022-12-09
[ [ "Güzel", "Ahmet", "" ], [ "Beyazian", "Jeanne", "" ], [ "Chakravarthula", "Praneeth", "" ], [ "Akşit", "Kaan", "" ] ]
A large portion of today's world population suffer from vision impairments and wear prescription eyeglasses. However, eyeglasses causes additional bulk and discomfort when used with augmented and virtual reality headsets, thereby negatively impacting the viewer's visual experience. In this work, we remedy the usage of ...
2105.06186
EPTCS
Nicolas Behr (Universit\'e Paris Cit\'e, IRIF, CNRS), Joachim Kock (Universitat Aut\`onoma de Barcelona & Centre de Recerca Matem\`atica)
Tracelet Hopf Algebras and Decomposition Spaces (Extended Abstract)
In Proceedings ACT 2021, arXiv:2211.01102
EPTCS 372, 2022, pp. 323-337
10.4204/EPTCS.372.23
null
cs.LO math.CT
http://creativecommons.org/licenses/by/4.0/
Tracelets are the intrinsic carriers of causal information in categorical rewriting systems. In this work, we assemble tracelets into a symmetric monoidal decomposition space, inducing a cocommutative Hopf algebra of tracelets. This Hopf algebra captures important combinatorial and algebraic aspects of rewriting theo...
[ { "created": "Thu, 13 May 2021 10:59:16 GMT", "version": "v1" }, { "created": "Tue, 13 Jul 2021 17:36:49 GMT", "version": "v2" }, { "created": "Thu, 3 Nov 2022 14:20:47 GMT", "version": "v3" } ]
2022-11-04
[ [ "Behr", "Nicolas", "", "Université Paris Cité, IRIF, CNRS" ], [ "Kock", "Joachim", "", "Universitat Autònoma de Barcelona & Centre de Recerca Matemàtica" ] ]
Tracelets are the intrinsic carriers of causal information in categorical rewriting systems. In this work, we assemble tracelets into a symmetric monoidal decomposition space, inducing a cocommutative Hopf algebra of tracelets. This Hopf algebra captures important combinatorial and algebraic aspects of rewriting theory...
1909.10869
Sam Thompson
Dominik D. Freydenberger and Sam M. Thompson
Dynamic Complexity of Document Spanners
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The present paper investigates the dynamic complexity of document spanners, a formal framework for information extraction introduced by Fagin, Kimelfeld, Reiss, and Vansummeren (JACM 2015). We first look at the class of regular spanners and prove that any regular spanner can be maintained in the dynamic complexity cl...
[ { "created": "Tue, 24 Sep 2019 13:13:37 GMT", "version": "v1" }, { "created": "Thu, 9 Jan 2020 14:01:43 GMT", "version": "v2" } ]
2020-01-10
[ [ "Freydenberger", "Dominik D.", "" ], [ "Thompson", "Sam M.", "" ] ]
The present paper investigates the dynamic complexity of document spanners, a formal framework for information extraction introduced by Fagin, Kimelfeld, Reiss, and Vansummeren (JACM 2015). We first look at the class of regular spanners and prove that any regular spanner can be maintained in the dynamic complexity clas...
2006.07563
Huthaifa I. Ashqar
Huthaifa I. Ashqar, Mohammed Elhenawy, and Hesham A.Rakha
Modeling bike counts in a bike-sharing system considering the effect of weather conditions
Published in Case Studies on Transport Policy (Volume 7, Issue 2, June 2019, Pages 261-268)
Case studies on transport policy 7, no. 2 (2019): 261-268
10.1016/j.cstp.2019.02.011
null
cs.CY cs.LG physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System. The Random Forest technique was used to rank the predictors that were then used to develop a regression model using a guided forward step-wise regressi...
[ { "created": "Sat, 13 Jun 2020 05:32:32 GMT", "version": "v1" } ]
2020-06-16
[ [ "Ashqar", "Huthaifa I.", "" ], [ "Elhenawy", "Mohammed", "" ], [ "Rakha", "Hesham A.", "" ] ]
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System. The Random Forest technique was used to rank the predictors that were then used to develop a regression model using a guided forward step-wise regression...
1910.05895
Julian Salazar
Toan Q. Nguyen and Julian Salazar
Transformers without Tears: Improving the Normalization of Self-Attention
Accepted to IWSLT 2019 (oral); code is available at https://github.com/tnq177/transformers_without_tears
null
10.5281/zenodo.3525484
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We evaluate three simple, normalization-centric changes to improve Transformer training. First, we show that pre-norm residual connections (PreNorm) and smaller initializations enable warmup-free, validation-based training with large learning rates. Second, we propose $\ell_2$ normalization with a single scale parame...
[ { "created": "Mon, 14 Oct 2019 02:23:43 GMT", "version": "v1" }, { "created": "Mon, 30 Dec 2019 03:53:04 GMT", "version": "v2" } ]
2020-01-01
[ [ "Nguyen", "Toan Q.", "" ], [ "Salazar", "Julian", "" ] ]
We evaluate three simple, normalization-centric changes to improve Transformer training. First, we show that pre-norm residual connections (PreNorm) and smaller initializations enable warmup-free, validation-based training with large learning rates. Second, we propose $\ell_2$ normalization with a single scale paramete...
2204.11041
Meng Xing
Meng Xing, Zhiyong Feng, Yong Su and Changjae Oh
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
update new experimental results
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Out-of-distribution (OOD) detection is essential to handle the distribution shifts between training and test scenarios. For a new in-distribution (ID) dataset, existing methods require retraining to capture the dataset-specific feature representation or data distribution. In this paper, we propose a deep generative m...
[ { "created": "Sat, 23 Apr 2022 10:19:58 GMT", "version": "v1" }, { "created": "Mon, 7 Aug 2023 22:47:07 GMT", "version": "v2" }, { "created": "Wed, 27 Mar 2024 14:29:27 GMT", "version": "v3" } ]
2024-03-28
[ [ "Xing", "Meng", "" ], [ "Feng", "Zhiyong", "" ], [ "Su", "Yong", "" ], [ "Oh", "Changjae", "" ] ]
Out-of-distribution (OOD) detection is essential to handle the distribution shifts between training and test scenarios. For a new in-distribution (ID) dataset, existing methods require retraining to capture the dataset-specific feature representation or data distribution. In this paper, we propose a deep generative mod...
2211.07343
Pengyu Cheng
Pengyu Cheng, Ruineng Li
Replacing Language Model for Style Transfer
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce replacing language model (RLM), a sequence-to-sequence language modeling framework for text style transfer (TST). Our method autoregressively replaces each token of the source sentence with a text span that has a similar meaning but in the target style. The new span is generated via a non-autoregressive ...
[ { "created": "Mon, 14 Nov 2022 13:35:55 GMT", "version": "v1" }, { "created": "Wed, 28 Feb 2024 12:51:09 GMT", "version": "v2" } ]
2024-02-29
[ [ "Cheng", "Pengyu", "" ], [ "Li", "Ruineng", "" ] ]
We introduce replacing language model (RLM), a sequence-to-sequence language modeling framework for text style transfer (TST). Our method autoregressively replaces each token of the source sentence with a text span that has a similar meaning but in the target style. The new span is generated via a non-autoregressive ma...
2009.10689
Vasiliy Gurianov
Vasyliy I. Gurianov
Simulation model of spacetime with the Minkowski metric
8 pages, 5 figures, 2 tables
null
null
null
cs.CE cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a simulation model of spacetime as a discrete model of physical space. The model is based on the ideas of Stephen Wolfram and uses non-numerical modelling. The simulation model is described as an ontology. We use object-oriented simulation (OOS), but the model is also suitable for agent-base...
[ { "created": "Tue, 22 Sep 2020 17:03:38 GMT", "version": "v1" } ]
2020-09-23
[ [ "Gurianov", "Vasyliy I.", "" ] ]
In this paper, we propose a simulation model of spacetime as a discrete model of physical space. The model is based on the ideas of Stephen Wolfram and uses non-numerical modelling. The simulation model is described as an ontology. We use object-oriented simulation (OOS), but the model is also suitable for agent-based ...
1510.04747
Yang Shi
Animashree Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
null
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust tensor CP decomposition involves decomposing a tensor into low rank and sparse components. We propose a novel non-convex iterative algorithm with guaranteed recovery. It alternates between low-rank CP decomposition through gradient ascent (a variant of the tensor power method), and hard thresholding of the res...
[ { "created": "Thu, 15 Oct 2015 23:40:13 GMT", "version": "v1" }, { "created": "Wed, 21 Oct 2015 00:53:13 GMT", "version": "v2" }, { "created": "Thu, 5 Nov 2015 05:02:03 GMT", "version": "v3" }, { "created": "Sat, 14 Nov 2015 21:54:08 GMT", "version": "v4" }, { "cr...
2016-04-28
[ [ "Anandkumar", "Animashree", "" ], [ "Jain", "Prateek", "" ], [ "Shi", "Yang", "" ], [ "Niranjan", "U. N.", "" ] ]
Robust tensor CP decomposition involves decomposing a tensor into low rank and sparse components. We propose a novel non-convex iterative algorithm with guaranteed recovery. It alternates between low-rank CP decomposition through gradient ascent (a variant of the tensor power method), and hard thresholding of the resid...
1906.02123
Hongming Zhang
Hongming Zhang, Hantian Ding, Yangqiu Song
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
Accepted by ACL 2019
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Selectional Preference (SP) is a commonly observed language phenomenon and proved to be useful in many natural language processing tasks. To provide a better evaluation method for SP models, we introduce SP-10K, a large-scale evaluation set that provides human ratings for the plausibility of 10,000 SP pairs over five...
[ { "created": "Tue, 14 May 2019 08:32:39 GMT", "version": "v1" } ]
2019-06-06
[ [ "Zhang", "Hongming", "" ], [ "Ding", "Hantian", "" ], [ "Song", "Yangqiu", "" ] ]
Selectional Preference (SP) is a commonly observed language phenomenon and proved to be useful in many natural language processing tasks. To provide a better evaluation method for SP models, we introduce SP-10K, a large-scale evaluation set that provides human ratings for the plausibility of 10,000 SP pairs over five S...
2405.14567
Adibvafa Fallahpour
Adibvafa Fallahpour, Mahshid Alinoori, Arash Afkanpour, Amrit Krishnan
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records
17 Pages, 4 Figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Transformers have significantly advanced the modeling of Electronic Health Records (EHR), yet their deployment in real-world healthcare is limited by several key challenges. Firstly, the quadratic computational cost and insufficient context length of these models pose significant obstacles for hospitals in processing...
[ { "created": "Thu, 23 May 2024 13:43:29 GMT", "version": "v1" }, { "created": "Fri, 24 May 2024 02:22:21 GMT", "version": "v2" } ]
2024-05-27
[ [ "Fallahpour", "Adibvafa", "" ], [ "Alinoori", "Mahshid", "" ], [ "Afkanpour", "Arash", "" ], [ "Krishnan", "Amrit", "" ] ]
Transformers have significantly advanced the modeling of Electronic Health Records (EHR), yet their deployment in real-world healthcare is limited by several key challenges. Firstly, the quadratic computational cost and insufficient context length of these models pose significant obstacles for hospitals in processing t...
2006.02887
Francesco Dagnino
Francesco Dagnino
Foundations of regular coinduction
null
Logical Methods in Computer Science, Volume 17, Issue 4 (October 1, 2021) lmcs:6553
10.46298/lmcs-17(4:2)2021
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Inference systems are a widespread framework used to define possibly recursive predicates by means of inference rules. They allow both inductive and coinductive interpretations that are fairly well-studied. In this paper, we consider a middle way interpretation, called regular, which combines advantages of both appro...
[ { "created": "Thu, 4 Jun 2020 14:33:39 GMT", "version": "v1" }, { "created": "Thu, 11 Jun 2020 12:45:07 GMT", "version": "v2" }, { "created": "Wed, 5 May 2021 15:30:23 GMT", "version": "v3" }, { "created": "Thu, 6 May 2021 10:45:38 GMT", "version": "v4" }, { "crea...
2023-06-22
[ [ "Dagnino", "Francesco", "" ] ]
Inference systems are a widespread framework used to define possibly recursive predicates by means of inference rules. They allow both inductive and coinductive interpretations that are fairly well-studied. In this paper, we consider a middle way interpretation, called regular, which combines advantages of both approac...
2405.13075
Shunyang Zhang
S. Zhang, S. Wang, H. Miao, H. Chen, C. Fan, J. Zhang
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multivariant time series (MTS) data are usually incomplete in real scenarios, and imputing the incomplete MTS is practically important to facilitate various time series mining tasks. Recently, diffusion model-based MTS imputation methods have achieved promising results by utilizing CNN or attention mechanisms for tem...
[ { "created": "Tue, 21 May 2024 02:00:55 GMT", "version": "v1" } ]
2024-05-24
[ [ "Zhang", "S.", "" ], [ "Wang", "S.", "" ], [ "Miao", "H.", "" ], [ "Chen", "H.", "" ], [ "Fan", "C.", "" ], [ "Zhang", "J.", "" ] ]
Multivariant time series (MTS) data are usually incomplete in real scenarios, and imputing the incomplete MTS is practically important to facilitate various time series mining tasks. Recently, diffusion model-based MTS imputation methods have achieved promising results by utilizing CNN or attention mechanisms for tempo...
2202.06649
Zhensu Sun
Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, Li Li
On the Importance of Building High-quality Training Datasets for Neural Code Search
11 pages, accepted to ICSE 2022
null
null
null
cs.SE cs.AI
http://creativecommons.org/licenses/by/4.0/
The performance of neural code search is significantly influenced by the quality of the training data from which the neural models are derived. A large corpus of high-quality query and code pairs is demanded to establish a precise mapping from the natural language to the programming language. Due to the limited avail...
[ { "created": "Mon, 14 Feb 2022 12:02:41 GMT", "version": "v1" } ]
2022-02-15
[ [ "Sun", "Zhensu", "" ], [ "Li", "Li", "" ], [ "Liu", "Yan", "" ], [ "Du", "Xiaoning", "" ], [ "Li", "Li", "" ] ]
The performance of neural code search is significantly influenced by the quality of the training data from which the neural models are derived. A large corpus of high-quality query and code pairs is demanded to establish a precise mapping from the natural language to the programming language. Due to the limited availab...
1705.03427
Laurent Massoulie
Laurent Massouli\'e and R\'emi Varloot
Rapid Mixing of Local Graph Dynamics
null
null
null
null
cs.DC math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph dynamics arise naturally in many contexts. For instance in peer-to-peer networks, a participating peer may replace an existing connection with one neighbour by a new connection with a neighbour's neighbour. Several such local rewiring rules have been proposed to ensure that peer-to-peer networks achieve good co...
[ { "created": "Tue, 9 May 2017 16:56:19 GMT", "version": "v1" } ]
2017-05-10
[ [ "Massoulié", "Laurent", "" ], [ "Varloot", "Rémi", "" ] ]
Graph dynamics arise naturally in many contexts. For instance in peer-to-peer networks, a participating peer may replace an existing connection with one neighbour by a new connection with a neighbour's neighbour. Several such local rewiring rules have been proposed to ensure that peer-to-peer networks achieve good conn...
2402.19262
Advait Gadhikar
Advait Gadhikar and Rebekka Burkholz
Masks, Signs, And Learning Rate Rewinding
Accepted for publishing at ICLR 2024
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Learning Rate Rewinding (LRR) has been established as a strong variant of Iterative Magnitude Pruning (IMP) to find lottery tickets in deep overparameterized neural networks. While both iterative pruning schemes couple structure and parameter learning, understanding how LRR excels in both aspects can bring us closer ...
[ { "created": "Thu, 29 Feb 2024 15:32:02 GMT", "version": "v1" } ]
2024-03-01
[ [ "Gadhikar", "Advait", "" ], [ "Burkholz", "Rebekka", "" ] ]
Learning Rate Rewinding (LRR) has been established as a strong variant of Iterative Magnitude Pruning (IMP) to find lottery tickets in deep overparameterized neural networks. While both iterative pruning schemes couple structure and parameter learning, understanding how LRR excels in both aspects can bring us closer to...
2306.12829
Klaus Schoeffmann
Natalia Math\'a, Klaus Schoeffmann, Konstantin Schekotihin, Stephanie Sarny, Doris Putzgruber-Adamitsch, Yosuf El-Shabrawi
Relevance-Based Compression of Cataract Surgery Videos
11 pages, 5 figures, 3 tables
null
null
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
In the last decade, the need for storing videos from cataract surgery has increased significantly. Hospitals continue to improve their imaging and recording devices (e.g., microscopes and cameras used in microscopic surgery, such as ophthalmology) to enhance their post-surgical processing efficiency. The video record...
[ { "created": "Thu, 22 Jun 2023 12:04:37 GMT", "version": "v1" } ]
2023-06-23
[ [ "Mathá", "Natalia", "" ], [ "Schoeffmann", "Klaus", "" ], [ "Schekotihin", "Konstantin", "" ], [ "Sarny", "Stephanie", "" ], [ "Putzgruber-Adamitsch", "Doris", "" ], [ "El-Shabrawi", "Yosuf", "" ] ]
In the last decade, the need for storing videos from cataract surgery has increased significantly. Hospitals continue to improve their imaging and recording devices (e.g., microscopes and cameras used in microscopic surgery, such as ophthalmology) to enhance their post-surgical processing efficiency. The video recordin...
1812.11826
Cihan Tugrul Cicek
Cihan Tugrul Cicek and Hakan Gultekin and Bulent Tavli and Halim Yanikomeroglu
UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions
1st IEEE Unmanned Vehicle Systems (UVS) Conference - Oman Feb.2019
null
10.1109/UVS.2019.8658363
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs). Rapid deployment, mobility, higher chances of unobstructed propagation path, and flexibility features of UAV-BSs have attracted significant attention. Des...
[ { "created": "Mon, 3 Dec 2018 19:22:03 GMT", "version": "v1" } ]
2020-08-27
[ [ "Cicek", "Cihan Tugrul", "" ], [ "Gultekin", "Hakan", "" ], [ "Tavli", "Bulent", "" ], [ "Yanikomeroglu", "Halim", "" ] ]
Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs). Rapid deployment, mobility, higher chances of unobstructed propagation path, and flexibility features of UAV-BSs have attracted significant attention. Despi...
1904.12777
Abdullah Almethen
Abdullah Almethen, Othon Michail, Igor Potapov
Pushing Lines Helps: Efficient Universal Centralised Transformations for Programmable Matter
40 pages, 27 figures
null
null
null
cs.DS cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study a discrete system of entities residing on a two-dimensional square grid. Each entity is modelled as a node occupying a distinct cell of the grid. The set of all $n$ nodes forms initially a connected shape $A$. Entities are equipped with a linear-strength pushing mechanism that can push a whole...
[ { "created": "Mon, 29 Apr 2019 15:38:41 GMT", "version": "v1" } ]
2019-04-30
[ [ "Almethen", "Abdullah", "" ], [ "Michail", "Othon", "" ], [ "Potapov", "Igor", "" ] ]
In this paper, we study a discrete system of entities residing on a two-dimensional square grid. Each entity is modelled as a node occupying a distinct cell of the grid. The set of all $n$ nodes forms initially a connected shape $A$. Entities are equipped with a linear-strength pushing mechanism that can push a whole l...
2309.07694
Shentong Mo
Shentong Mo, Miao Xin
Tree of Uncertain Thoughts Reasoning for Large Language Models
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While the recently introduced Tree of Thoughts (ToT) has heralded advancements in allowing Large Language Models (LLMs) to reason through foresight and backtracking for global decision-making, it has overlooked the inherent local uncertainties in intermediate decision points or "thoughts". These local uncertainties, ...
[ { "created": "Thu, 14 Sep 2023 13:14:51 GMT", "version": "v1" } ]
2023-09-15
[ [ "Mo", "Shentong", "" ], [ "Xin", "Miao", "" ] ]
While the recently introduced Tree of Thoughts (ToT) has heralded advancements in allowing Large Language Models (LLMs) to reason through foresight and backtracking for global decision-making, it has overlooked the inherent local uncertainties in intermediate decision points or "thoughts". These local uncertainties, in...
1503.08909
George Toderici
Joe Yue-Hei Ng and Matthew Hausknecht and Sudheendra Vijayanarasimhan and Oriol Vinyals and Rajat Monga and George Toderici
Beyond Short Snippets: Deep Networks for Video Classification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrieval. In this work we propose and evaluate several deep neural network architectures to combine image information across a video over longe...
[ { "created": "Tue, 31 Mar 2015 04:34:12 GMT", "version": "v1" }, { "created": "Mon, 13 Apr 2015 19:44:25 GMT", "version": "v2" } ]
2015-04-14
[ [ "Ng", "Joe Yue-Hei", "" ], [ "Hausknecht", "Matthew", "" ], [ "Vijayanarasimhan", "Sudheendra", "" ], [ "Vinyals", "Oriol", "" ], [ "Monga", "Rajat", "" ], [ "Toderici", "George", "" ] ]
Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrieval. In this work we propose and evaluate several deep neural network architectures to combine image information across a video over longer ...
1112.6160
Katharine Turner
Katharine Turner
Cone fields and topological sampling in manifolds with bounded curvature
20 pages, 3 figures
null
null
null
cs.CG math.AT math.DG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Often noisy point clouds are given as an approximation of a particular compact set of interest. A finite point cloud is a compact set. This paper proves a reconstruction theorem which gives a sufficient condition, as a bound on the Hausdorff distance between two compact sets, for when certain offsets of these two set...
[ { "created": "Wed, 28 Dec 2011 18:10:52 GMT", "version": "v1" }, { "created": "Sat, 3 Aug 2013 05:05:22 GMT", "version": "v2" } ]
2013-08-06
[ [ "Turner", "Katharine", "" ] ]
Often noisy point clouds are given as an approximation of a particular compact set of interest. A finite point cloud is a compact set. This paper proves a reconstruction theorem which gives a sufficient condition, as a bound on the Hausdorff distance between two compact sets, for when certain offsets of these two sets ...
1501.00696
Pauli Miettinen
Saskia Metzler and Pauli Miettinen
Clustering Boolean Tensors
null
null
10.1007/s10618-015-0420-3
null
cs.NA cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tensor factorizations are computationally hard problems, and in particular, are often significantly harder than their matrix counterparts. In case of Boolean tensor factorizations -- where the input tensor and all the factors are required to be binary and we use Boolean algebra -- much of that hardness comes from the...
[ { "created": "Sun, 4 Jan 2015 17:01:03 GMT", "version": "v1" } ]
2016-09-19
[ [ "Metzler", "Saskia", "" ], [ "Miettinen", "Pauli", "" ] ]
Tensor factorizations are computationally hard problems, and in particular, are often significantly harder than their matrix counterparts. In case of Boolean tensor factorizations -- where the input tensor and all the factors are required to be binary and we use Boolean algebra -- much of that hardness comes from the p...
2211.09198
Christian Rieck
Javier Garcia, Michael Yannuzzi, Peter Kramer, Christian Rieck, S\'andor P. Fekete, Aaron T. Becker
Reconfiguration of a 2D Structure Using Spatio-Temporal Planning and Load Transferring
seven pages, eight figures, one table; revised version; to appear in the proceedings of the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
null
null
null
cs.RO cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present progress on the problem of reconfiguring a 2D arrangement of building material by a cooperative group of robots. These robots must avoid collisions, deadlocks, and are subjected to the constraint of maintaining connectivity of the structure. We develop two reconfiguration methods, one based on spatio-tempo...
[ { "created": "Wed, 16 Nov 2022 20:32:53 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 14:08:20 GMT", "version": "v2" } ]
2024-03-08
[ [ "Garcia", "Javier", "" ], [ "Yannuzzi", "Michael", "" ], [ "Kramer", "Peter", "" ], [ "Rieck", "Christian", "" ], [ "Fekete", "Sándor P.", "" ], [ "Becker", "Aaron T.", "" ] ]
We present progress on the problem of reconfiguring a 2D arrangement of building material by a cooperative group of robots. These robots must avoid collisions, deadlocks, and are subjected to the constraint of maintaining connectivity of the structure. We develop two reconfiguration methods, one based on spatio-tempora...
1903.04448
Judith Fan
Judith Fan, Robert Hawkins, Mike Wu, Noah Goodman
Pragmatic inference and visual abstraction enable contextual flexibility during visual communication
29 pages; 5 figures; submitted draft of manuscript
null
10.1007/s42113-019-00058-7
null
cs.OH cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual modes of communication are ubiquitous in modern life --- from maps to data plots to political cartoons. Here we investigate drawing, the most basic form of visual communication. Participants were paired in an online environment to play a drawing-based reference game. On each trial, both participants were shown...
[ { "created": "Mon, 11 Mar 2019 17:18:16 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2019 01:06:20 GMT", "version": "v2" } ]
2019-12-17
[ [ "Fan", "Judith", "" ], [ "Hawkins", "Robert", "" ], [ "Wu", "Mike", "" ], [ "Goodman", "Noah", "" ] ]
Visual modes of communication are ubiquitous in modern life --- from maps to data plots to political cartoons. Here we investigate drawing, the most basic form of visual communication. Participants were paired in an online environment to play a drawing-based reference game. On each trial, both participants were shown t...
2208.01182
Yun-Wei Chu
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan, Christopher Brinton
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
10 pages, CIKM 2022
null
null
null
cs.LG cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
Traditional learning-based approaches to student modeling generalize poorly to underrepresented student groups due to biases in data availability. In this paper, we propose a methodology for predicting student performance from their online learning activities that optimizes inference accuracy over different demograph...
[ { "created": "Tue, 2 Aug 2022 00:22:20 GMT", "version": "v1" } ]
2022-08-03
[ [ "Chu", "Yun-Wei", "" ], [ "Hosseinalipour", "Seyyedali", "" ], [ "Tenorio", "Elizabeth", "" ], [ "Cruz", "Laura", "" ], [ "Douglas", "Kerrie", "" ], [ "Lan", "Andrew", "" ], [ "Brinton", "Christopher", "" ...
Traditional learning-based approaches to student modeling generalize poorly to underrepresented student groups due to biases in data availability. In this paper, we propose a methodology for predicting student performance from their online learning activities that optimizes inference accuracy over different demographic...
0810.2390
Simone Faro
Simone Faro and Thierry Lecroq
Efficient Pattern Matching on Binary Strings
12 pages
null
null
null
cs.DS cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The binary string matching problem consists in finding all the occurrences of a pattern in a text where both strings are built on a binary alphabet. This is an interesting problem in computer science, since binary data are omnipresent in telecom and computer network applications. Moreover the problem finds applicatio...
[ { "created": "Tue, 14 Oct 2008 08:44:27 GMT", "version": "v1" }, { "created": "Wed, 15 Oct 2008 12:15:24 GMT", "version": "v2" } ]
2008-10-15
[ [ "Faro", "Simone", "" ], [ "Lecroq", "Thierry", "" ] ]
The binary string matching problem consists in finding all the occurrences of a pattern in a text where both strings are built on a binary alphabet. This is an interesting problem in computer science, since binary data are omnipresent in telecom and computer network applications. Moreover the problem finds applications...
2304.01834
Ntumba Elie Nsampi
Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimk\"uhler
Neural Field Convolutions by Repeated Differentiation
null
null
10.1145/3618340
null
cs.CV cs.GR
http://creativecommons.org/licenses/by/4.0/
Neural fields are evolving towards a general-purpose continuous representation for visual computing. Yet, despite their numerous appealing properties, they are hardly amenable to signal processing. As a remedy, we present a method to perform general continuous convolutions with general continuous signals such as neur...
[ { "created": "Tue, 4 Apr 2023 14:39:44 GMT", "version": "v1" }, { "created": "Tue, 7 Nov 2023 09:18:32 GMT", "version": "v2" }, { "created": "Sun, 10 Mar 2024 19:35:43 GMT", "version": "v3" }, { "created": "Thu, 4 Apr 2024 18:01:47 GMT", "version": "v4" } ]
2024-04-08
[ [ "Nsampi", "Ntumba Elie", "" ], [ "Djeacoumar", "Adarsh", "" ], [ "Seidel", "Hans-Peter", "" ], [ "Ritschel", "Tobias", "" ], [ "Leimkühler", "Thomas", "" ] ]
Neural fields are evolving towards a general-purpose continuous representation for visual computing. Yet, despite their numerous appealing properties, they are hardly amenable to signal processing. As a remedy, we present a method to perform general continuous convolutions with general continuous signals such as neural...
1401.3357
Jean Gregoire
Jean Gregoire and Emilio Frazzoli and Arnaud de La Fortelle and Tichakorn Wongpiromsarn
Back-pressure traffic signal control with unknown routing rates
accepted for presentation at IFAC 2014, 6 pages. arXiv admin note: text overlap with arXiv:1309.6484
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The control of a network of signalized intersections is considered. Previous works proposed a feedback control belonging to the family of the so-called back-pressure controls that ensures provably maximum stability given pre-specified routing probabilities. However, this optimal back-pressure controller (BP*) require...
[ { "created": "Mon, 9 Dec 2013 10:41:10 GMT", "version": "v1" }, { "created": "Mon, 31 Mar 2014 13:48:02 GMT", "version": "v2" } ]
2014-04-01
[ [ "Gregoire", "Jean", "" ], [ "Frazzoli", "Emilio", "" ], [ "de La Fortelle", "Arnaud", "" ], [ "Wongpiromsarn", "Tichakorn", "" ] ]
The control of a network of signalized intersections is considered. Previous works proposed a feedback control belonging to the family of the so-called back-pressure controls that ensures provably maximum stability given pre-specified routing probabilities. However, this optimal back-pressure controller (BP*) requires ...
1611.07541
Harold Gabow
Harold N. Gabow
Data Structures for Weighted Matching and Extensions to $b$-matching and $f$-factors
This paper is a combination of two conference papers: A preliminary version of the data structures part appeared in Proc. 1st Annual ACM-SIAM Symp. on Disc. Algorithms (SODA), 1990. A preliminary version of the extensions part, based on reduction to matching, appeared in Proc. 15th Annual ACM Symp. on Theory of...
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper shows the weighted matching problem on general graphs can be solved in time $O(n(m + n\log n))$ for $n$ and $m$ the number of vertices and edges, respectively. This was previously known only for bipartite graphs. The crux is a data structure for blossom creation. It uses a dynamic nearest-common-ancestor a...
[ { "created": "Tue, 22 Nov 2016 21:22:33 GMT", "version": "v1" } ]
2016-11-24
[ [ "Gabow", "Harold N.", "" ] ]
This paper shows the weighted matching problem on general graphs can be solved in time $O(n(m + n\log n))$ for $n$ and $m$ the number of vertices and edges, respectively. This was previously known only for bipartite graphs. The crux is a data structure for blossom creation. It uses a dynamic nearest-common-ancestor alg...
2407.15599
Philip Whittington
Philip Whittington
Online String Attractors
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
In today's data-centric world, fast and effective compression of data is paramount. To measure success towards the second goal, Kempa and Prezza [STOC2018] introduce the string attractor, a combinatorial object unifying dictionary-based compression. Given a string $T \in \Sigma^n$, a string attractor ($k$-attractor) ...
[ { "created": "Mon, 22 Jul 2024 12:44:25 GMT", "version": "v1" } ]
2024-07-23
[ [ "Whittington", "Philip", "" ] ]
In today's data-centric world, fast and effective compression of data is paramount. To measure success towards the second goal, Kempa and Prezza [STOC2018] introduce the string attractor, a combinatorial object unifying dictionary-based compression. Given a string $T \in \Sigma^n$, a string attractor ($k$-attractor) is...
1906.06675
Sadaf Salehkalaibar
Sadaf Salehkalaibar, Mohammad Hossein Yassaee and Vincent Y. F. Tan
Covert Communication Over a Compound Channel
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider fundamental communication limits over a compound channel. Covert communication in the information-theoretic context has been primarily concerned with fundamental limits when the transmitter wishes to communicate to legitimate receiver(s) while ensuring that the communication is not detected...
[ { "created": "Sun, 16 Jun 2019 12:59:07 GMT", "version": "v1" } ]
2019-06-18
[ [ "Salehkalaibar", "Sadaf", "" ], [ "Yassaee", "Mohammad Hossein", "" ], [ "Tan", "Vincent Y. F.", "" ] ]
In this paper, we consider fundamental communication limits over a compound channel. Covert communication in the information-theoretic context has been primarily concerned with fundamental limits when the transmitter wishes to communicate to legitimate receiver(s) while ensuring that the communication is not detected b...
1905.11381
Jirong Yi
Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks
44 Pages, 2 Theorems, 35 Figures, 29 Tables. arXiv admin note: substantial text overlap with arXiv:1901.09413
null
null
null
cs.CR cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep-learning based classification algorithms have been shown to be susceptible to adversarial attacks: minor changes to the input of classifiers can dramatically change their outputs, while being imperceptible to humans. In this paper, we present a simple hypothesis about a feature compression property of artificial...
[ { "created": "Sat, 25 May 2019 21:57:51 GMT", "version": "v1" } ]
2019-05-29
[ [ "Yi", "Jirong", "" ], [ "Xie", "Hui", "" ], [ "Zhou", "Leixin", "" ], [ "Wu", "Xiaodong", "" ], [ "Xu", "Weiyu", "" ], [ "Mudumbai", "Raghuraman", "" ] ]
Deep-learning based classification algorithms have been shown to be susceptible to adversarial attacks: minor changes to the input of classifiers can dramatically change their outputs, while being imperceptible to humans. In this paper, we present a simple hypothesis about a feature compression property of artificial i...
2303.07682
Haobin Tang
Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Accepted by ICASSP 2023
null
null
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent expressive text to speech (TTS) models focus on synthesizing emotional speech, but some fine-grained styles such as intonation are neglected. In this paper, we propose QI-TTS which aims to better transfer and control intonation to further deliver the speaker's questioning intention while transferring emotion f...
[ { "created": "Tue, 14 Mar 2023 07:53:19 GMT", "version": "v1" } ]
2023-03-15
[ [ "Tang", "Haobin", "" ], [ "Zhang", "Xulong", "" ], [ "Wang", "Jianzong", "" ], [ "Cheng", "Ning", "" ], [ "Xiao", "Jing", "" ] ]
Recent expressive text to speech (TTS) models focus on synthesizing emotional speech, but some fine-grained styles such as intonation are neglected. In this paper, we propose QI-TTS which aims to better transfer and control intonation to further deliver the speaker's questioning intention while transferring emotion fro...
2201.12581
Xiaoyang Li
Xiaoyang Li, Fan Liu, Ziqin Zhou, Guangxu Zhu, Shuai Wang, Kaibin Huang, and Yi Gong
Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design
This paper has been submitted to IEEE for possible publication
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To support the unprecedented growth of the Internet of Things (IoT) applications, tremendous data need to be collected by the IoT devices and delivered to the server for further computation. By utilizing the same signals for both radar sensing and data communication, the integrated sensing and communication (ISAC) te...
[ { "created": "Sat, 29 Jan 2022 12:58:11 GMT", "version": "v1" }, { "created": "Tue, 22 Feb 2022 12:09:16 GMT", "version": "v2" } ]
2022-02-23
[ [ "Li", "Xiaoyang", "" ], [ "Liu", "Fan", "" ], [ "Zhou", "Ziqin", "" ], [ "Zhu", "Guangxu", "" ], [ "Wang", "Shuai", "" ], [ "Huang", "Kaibin", "" ], [ "Gong", "Yi", "" ] ]
To support the unprecedented growth of the Internet of Things (IoT) applications, tremendous data need to be collected by the IoT devices and delivered to the server for further computation. By utilizing the same signals for both radar sensing and data communication, the integrated sensing and communication (ISAC) tech...
2109.05771
Dev Yashpal Sheth
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Accepted at EMNLP 2021. See https://iitmnlp.github.io/EvalEval/ for our templates and code
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Natural Language Generation (NLG) evaluation is a multifaceted task requiring assessment of multiple desirable criteria, e.g., fluency, coherency, coverage, relevance, adequacy, overall quality, etc. Across existing datasets for 6 NLG tasks, we observe that the human evaluation scores on these multiple criteria are o...
[ { "created": "Mon, 13 Sep 2021 08:26:26 GMT", "version": "v1" } ]
2021-09-14
[ [ "Sai", "Ananya B.", "" ], [ "Dixit", "Tanay", "" ], [ "Sheth", "Dev Yashpal", "" ], [ "Mohan", "Sreyas", "" ], [ "Khapra", "Mitesh M.", "" ] ]
Natural Language Generation (NLG) evaluation is a multifaceted task requiring assessment of multiple desirable criteria, e.g., fluency, coherency, coverage, relevance, adequacy, overall quality, etc. Across existing datasets for 6 NLG tasks, we observe that the human evaluation scores on these multiple criteria are oft...
2104.14802
Xinjian Zhang
Xinjian Zhang, Yi Xu, Su Yang, Longwen Gao, Huyang Sun
Dance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles
Submit to IJCAI-21
null
null
null
cs.MM cs.GR cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Choreography refers to creation of dance steps and motions for dances according to the latent knowledge in human mind, where the created dance motions are in general style-specific and consistent. So far, such latent style-specific knowledge about dance styles cannot be represented explicitly in human language and ha...
[ { "created": "Fri, 30 Apr 2021 07:36:49 GMT", "version": "v1" } ]
2021-05-03
[ [ "Zhang", "Xinjian", "" ], [ "Xu", "Yi", "" ], [ "Yang", "Su", "" ], [ "Gao", "Longwen", "" ], [ "Sun", "Huyang", "" ] ]
Choreography refers to creation of dance steps and motions for dances according to the latent knowledge in human mind, where the created dance motions are in general style-specific and consistent. So far, such latent style-specific knowledge about dance styles cannot be represented explicitly in human language and has ...
2402.15492
Xuyang Li
Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage
null
null
null
null
cs.LG eess.SP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Structural health monitoring (SHM) ensures the safety and longevity of structures like buildings and bridges. As the volume and scale of structures and the impact of their failure continue to grow, there is a dire need for SHM techniques that are scalable, inexpensive, can operate passively without human intervention...
[ { "created": "Fri, 23 Feb 2024 18:31:02 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2024 06:29:37 GMT", "version": "v2" } ]
2024-07-19
[ [ "Li", "Xuyang", "" ], [ "Bolandi", "Hamed", "" ], [ "Masmoudi", "Mahdi", "" ], [ "Salem", "Talal", "" ], [ "Lajnef", "Nizar", "" ], [ "Boddeti", "Vishnu Naresh", "" ] ]
Structural health monitoring (SHM) ensures the safety and longevity of structures like buildings and bridges. As the volume and scale of structures and the impact of their failure continue to grow, there is a dire need for SHM techniques that are scalable, inexpensive, can operate passively without human intervention, ...
2212.05885
Haosu Zhou
Haosu Zhou, and Nan Li
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
32 pages, 11 figures
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
As the complexity of modern manufacturing technologies increases, traditional trial-and-error design, which requires iterative and expensive simulations, becomes unreliable and time-consuming. This difficulty is especially significant for the design of hot-stamped safety-critical components, such as ultra-high-streng...
[ { "created": "Thu, 1 Dec 2022 20:17:48 GMT", "version": "v1" } ]
2022-12-13
[ [ "Zhou", "Haosu", "" ], [ "Li", "Nan", "" ] ]
As the complexity of modern manufacturing technologies increases, traditional trial-and-error design, which requires iterative and expensive simulations, becomes unreliable and time-consuming. This difficulty is especially significant for the design of hot-stamped safety-critical components, such as ultra-high-strength...
2101.10492
Dayu Zhu
Dayu Zhu, Wenshan Cai
Fast Non-line-of-sight Imaging with Two-step Deep Remapping
null
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
Conventional imaging only records photons directly sent from the object to the detector, while non-line-of-sight (NLOS) imaging takes the indirect light into account. Most NLOS solutions employ a transient scanning process, followed by a physical based algorithm to reconstruct the NLOS scenes. However, the transient ...
[ { "created": "Tue, 26 Jan 2021 00:08:54 GMT", "version": "v1" }, { "created": "Fri, 26 Mar 2021 01:23:18 GMT", "version": "v2" } ]
2021-03-29
[ [ "Zhu", "Dayu", "" ], [ "Cai", "Wenshan", "" ] ]
Conventional imaging only records photons directly sent from the object to the detector, while non-line-of-sight (NLOS) imaging takes the indirect light into account. Most NLOS solutions employ a transient scanning process, followed by a physical based algorithm to reconstruct the NLOS scenes. However, the transient de...
2302.09124
Vishnu Nair
Vishnu Nair, Hanxiu 'Hazel' Zhu, Brian A. Smith
ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Users
null
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 2023
10.1145/3544548.3581302
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blind and low vision (BLV) users often rely on alt text to understand what a digital image is showing. However, recent research has investigated how touch-based image exploration on touchscreens can supplement alt text. Touchscreen-based image exploration systems allow BLV users to deeply understand images while gran...
[ { "created": "Fri, 17 Feb 2023 20:16:28 GMT", "version": "v1" } ]
2023-02-21
[ [ "Nair", "Vishnu", "" ], [ "Zhu", "Hanxiu 'Hazel'", "" ], [ "Smith", "Brian A.", "" ] ]
Blind and low vision (BLV) users often rely on alt text to understand what a digital image is showing. However, recent research has investigated how touch-based image exploration on touchscreens can supplement alt text. Touchscreen-based image exploration systems allow BLV users to deeply understand images while granti...
1609.00048
Joel Tropp
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Practical sketching algorithms for low-rank matrix approximation
null
SIAM J. Matrix Analysis and Applications, Vol. 38, num. 4, pp. 1454-1485, Dec. 2017
10.1137/17M1111590
null
cs.NA cs.DS math.NA stat.CO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a suite of algorithms for constructing low-rank approximations of an input matrix from a random linear image of the matrix, called a sketch. These methods can preserve structural properties of the input matrix, such as positive-semidefiniteness, and they can produce approximations with a user-spe...
[ { "created": "Wed, 31 Aug 2016 21:30:26 GMT", "version": "v1" }, { "created": "Tue, 2 Jan 2018 18:13:40 GMT", "version": "v2" } ]
2018-01-03
[ [ "Tropp", "Joel A.", "" ], [ "Yurtsever", "Alp", "" ], [ "Udell", "Madeleine", "" ], [ "Cevher", "Volkan", "" ] ]
This paper describes a suite of algorithms for constructing low-rank approximations of an input matrix from a random linear image of the matrix, called a sketch. These methods can preserve structural properties of the input matrix, such as positive-semidefiniteness, and they can produce approximations with a user-speci...
1709.06764
Andres Milioto
Andres Milioto, Philipp Lottes, Cyrill Stachniss
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs
Accepted for publication at IEEE International Conference on Robotics and Automation 2018 (ICRA 2018)
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions. In this paper, we address the problem of CNN-based semantic segmentation of crop fields separating sugar beet ...
[ { "created": "Wed, 20 Sep 2017 08:24:18 GMT", "version": "v1" }, { "created": "Fri, 2 Mar 2018 15:46:48 GMT", "version": "v2" } ]
2018-03-05
[ [ "Milioto", "Andres", "" ], [ "Lottes", "Philipp", "" ], [ "Stachniss", "Cyrill", "" ] ]
Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions. In this paper, we address the problem of CNN-based semantic segmentation of crop fields separating sugar beet pl...
2404.17276
Charalampos Symeonidis
Charalampos Symeonidis and Nikos Nikolaidis
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Electricity generated from renewable energy sources has been established as an efficient remedy for both energy shortages and the environmental pollution stemming from conventional energy production methods. Solar and wind power are two of the most dominant renewable energy sources. The accurate forecasting of the en...
[ { "created": "Fri, 26 Apr 2024 09:30:55 GMT", "version": "v1" } ]
2024-04-29
[ [ "Symeonidis", "Charalampos", "" ], [ "Nikolaidis", "Nikos", "" ] ]
Electricity generated from renewable energy sources has been established as an efficient remedy for both energy shortages and the environmental pollution stemming from conventional energy production methods. Solar and wind power are two of the most dominant renewable energy sources. The accurate forecasting of the ener...
2111.11647
Young-Gyu Yoon
Junmo Cho, Dong-Hwan Lee, Young-Gyu Yoon
Inducing Functions through Reinforcement Learning without Task Specification
14 pages
null
null
null
cs.AI cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report a bio-inspired framework for training a neural network through reinforcement learning to induce high level functions within the network. Based on the interpretation that animals have gained their cognitive functions such as object recognition - without ever being specifically trained for - as a result of ma...
[ { "created": "Tue, 23 Nov 2021 04:42:02 GMT", "version": "v1" } ]
2021-11-24
[ [ "Cho", "Junmo", "" ], [ "Lee", "Dong-Hwan", "" ], [ "Yoon", "Young-Gyu", "" ] ]
We report a bio-inspired framework for training a neural network through reinforcement learning to induce high level functions within the network. Based on the interpretation that animals have gained their cognitive functions such as object recognition - without ever being specifically trained for - as a result of maxi...
2208.09596
Keyu Wen
Qingrong Cheng, Keyu Wen, Xiaodong Gu
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks
14 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-to-image synthesis aims to generate a photo-realistic and semantic consistent image from a specific text description. The images synthesized by off-the-shelf models usually contain limited components compared with the corresponding image and text description, which decreases the image quality and the textual-vis...
[ { "created": "Sat, 20 Aug 2022 03:34:04 GMT", "version": "v1" } ]
2022-08-23
[ [ "Cheng", "Qingrong", "" ], [ "Wen", "Keyu", "" ], [ "Gu", "Xiaodong", "" ] ]
Text-to-image synthesis aims to generate a photo-realistic and semantic consistent image from a specific text description. The images synthesized by off-the-shelf models usually contain limited components compared with the corresponding image and text description, which decreases the image quality and the textual-visua...
1805.07457
Jyh-Jing Hwang
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu
Adversarial Structure Matching for Structured Prediction Tasks
In CVPR 2019. Webpage & Code: https://jyhjinghwang.github.io/projects/asm.html
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pixel-wise losses, e.g., cross-entropy or L2, have been widely used in structured prediction tasks as a spatial extension of generic image classification or regression. However, its i.i.d. assumption neglects the structural regularity present in natural images. Various attempts have been made to incorporate structura...
[ { "created": "Fri, 18 May 2018 22:03:58 GMT", "version": "v1" }, { "created": "Mon, 21 Oct 2019 16:46:07 GMT", "version": "v2" } ]
2019-10-22
[ [ "Hwang", "Jyh-Jing", "" ], [ "Ke", "Tsung-Wei", "" ], [ "Shi", "Jianbo", "" ], [ "Yu", "Stella X.", "" ] ]
Pixel-wise losses, e.g., cross-entropy or L2, have been widely used in structured prediction tasks as a spatial extension of generic image classification or regression. However, its i.i.d. assumption neglects the structural regularity present in natural images. Various attempts have been made to incorporate structural ...
1112.0974
Jan Lellmann
Jan Lellmann, Frank Lenzen, and Christoph Schn\"orr
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
null
null
null
null
cs.CV math.CO math.FA math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a variational convex relaxation of a class of optimal partitioning and multiclass labeling problems, which has recently proven quite successful and can be seen as a continuous analogue of Linear Programming (LP) relaxation methods for finite-dimensional problems. While for the latter case several optimali...
[ { "created": "Mon, 5 Dec 2011 16:05:32 GMT", "version": "v1" } ]
2011-12-06
[ [ "Lellmann", "Jan", "" ], [ "Lenzen", "Frank", "" ], [ "Schnörr", "Christoph", "" ] ]
We consider a variational convex relaxation of a class of optimal partitioning and multiclass labeling problems, which has recently proven quite successful and can be seen as a continuous analogue of Linear Programming (LP) relaxation methods for finite-dimensional problems. While for the latter case several optimality...
2203.09231
Marcos Faundez-Zanuy
Marcos Faundez-Zanuy, Daniel Rodr\'iguez-Porcheron
Speaker recognition using residual signal of linear and nonlinear prediction models
4 pages, published in 5th International Conference on spoken language processing. Vol.2 pp.121-124. ICSLP 1998. ISBN 1-876346-17-5
5th International Conference on spoken language processing. Vol.2 pp.121-124. ICSLP 1998. ISBN 1-876346-17-5
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
This Paper discusses the usefulness of the residual signal for speaker recognition. It is shown that the combination of both a measure defined over LPCC coefficients and a measure defined over the energy of the residual signal gives rise to an improvement over the classical method which considers only the LPCC coeffi...
[ { "created": "Thu, 17 Mar 2022 10:36:58 GMT", "version": "v1" } ]
2022-03-18
[ [ "Faundez-Zanuy", "Marcos", "" ], [ "Rodríguez-Porcheron", "Daniel", "" ] ]
This Paper discusses the usefulness of the residual signal for speaker recognition. It is shown that the combination of both a measure defined over LPCC coefficients and a measure defined over the energy of the residual signal gives rise to an improvement over the classical method which considers only the LPCC coeffici...