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1302.3268
Aleksandrs Slivkins
Ittai Abraham, Omar Alonso, Vasilis Kandylas and Aleksandrs Slivkins
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem
Full version of a paper in COLT 2013
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Very recently crowdsourcing has become the de facto platform for distributing and collecting human computation for a wide range of tasks and applications such as information retrieval, natural language processing and machine learning. Current crowdsourcing platforms have some limitations in the area of quality contro...
[ { "created": "Wed, 13 Feb 2013 22:42:44 GMT", "version": "v1" }, { "created": "Mon, 20 May 2013 15:02:15 GMT", "version": "v2" } ]
2013-05-21
[ [ "Abraham", "Ittai", "" ], [ "Alonso", "Omar", "" ], [ "Kandylas", "Vasilis", "" ], [ "Slivkins", "Aleksandrs", "" ] ]
Very recently crowdsourcing has become the de facto platform for distributing and collecting human computation for a wide range of tasks and applications such as information retrieval, natural language processing and machine learning. Current crowdsourcing platforms have some limitations in the area of quality control....
2401.03529
Evan Ryan Gunter
Evan Ryan Gunter (1), Yevgeny Liokumovich (2), Victoria Krakovna (3) ((1) ML Alignment & Theory Scholars (MATS), (2) University of Toronto, (3) Google DeepMind)
Quantifying stability of non-power-seeking in artificial agents
37 pages, 5 figures
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
We investigate the question: if an AI agent is known to be safe in one setting, is it also safe in a new setting similar to the first? This is a core question of AI alignment--we train and test models in a certain environment, but deploy them in another, and we need to guarantee that models that seem safe in testing ...
[ { "created": "Sun, 7 Jan 2024 15:57:38 GMT", "version": "v1" } ]
2024-01-09
[ [ "Gunter", "Evan Ryan", "" ], [ "Liokumovich", "Yevgeny", "" ], [ "Krakovna", "Victoria", "" ] ]
We investigate the question: if an AI agent is known to be safe in one setting, is it also safe in a new setting similar to the first? This is a core question of AI alignment--we train and test models in a certain environment, but deploy them in another, and we need to guarantee that models that seem safe in testing re...
2311.04499
Lin Meng
Lin Meng, Yuzhong Sun, Weimin Li
Near-Linear Scaling Data Parallel Training with Overlapping-Aware Gradient Compression
10 pages, 11 figures
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing Data Parallel (DP) trainings for deep neural networks (DNNs) often experience limited scalability in speedup due to substantial communication overheads. While Overlapping technique can mitigate such problem by paralleling communication and computation in DP, its effectiveness is constrained by the high commu...
[ { "created": "Wed, 8 Nov 2023 07:17:41 GMT", "version": "v1" } ]
2023-11-09
[ [ "Meng", "Lin", "" ], [ "Sun", "Yuzhong", "" ], [ "Li", "Weimin", "" ] ]
Existing Data Parallel (DP) trainings for deep neural networks (DNNs) often experience limited scalability in speedup due to substantial communication overheads. While Overlapping technique can mitigate such problem by paralleling communication and computation in DP, its effectiveness is constrained by the high communi...
1711.11564
Yun Ma
Yun Ma, Ziniu Hu, Dian Yang, Xuanzhe Liu
Automating Release of Deep Link APIs for Android Applications
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unlike the Web where each web page has a global URL to reach, a specific "content page" inside a mobile app cannot be opened unless the user explores the app with several operations from the landing page. Recently, deep links have been advocated by major companies to enable targeting and opening a specific page of an...
[ { "created": "Thu, 30 Nov 2017 18:33:16 GMT", "version": "v1" }, { "created": "Fri, 1 Dec 2017 06:59:31 GMT", "version": "v2" } ]
2017-12-04
[ [ "Ma", "Yun", "" ], [ "Hu", "Ziniu", "" ], [ "Yang", "Dian", "" ], [ "Liu", "Xuanzhe", "" ] ]
Unlike the Web where each web page has a global URL to reach, a specific "content page" inside a mobile app cannot be opened unless the user explores the app with several operations from the landing page. Recently, deep links have been advocated by major companies to enable targeting and opening a specific page of an a...
2111.01455
Hanh Le Thi Ngoc
Charles C.Morace, Thi-Ngoc-Hanh Le, Sheng-Yi Yao, Shang-Wei Zhang, Tong-Yee Lee
Learning a perceptual manifold with deep features for animation video resequencing
Under major revision; Project website: http://graphics.csie.ncku.edu.tw/ManifoldAnimationSequence
null
null
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
We propose a novel deep learning framework for animation video resequencing. Our system produces new video sequences by minimizing a perceptual distance of images from an existing animation video clip. To measure perceptual distance, we utilize the activations of convolutional neural networks and learn a perceptual d...
[ { "created": "Tue, 2 Nov 2021 09:30:37 GMT", "version": "v1" } ]
2021-11-03
[ [ "Morace", "Charles C.", "" ], [ "Le", "Thi-Ngoc-Hanh", "" ], [ "Yao", "Sheng-Yi", "" ], [ "Zhang", "Shang-Wei", "" ], [ "Lee", "Tong-Yee", "" ] ]
We propose a novel deep learning framework for animation video resequencing. Our system produces new video sequences by minimizing a perceptual distance of images from an existing animation video clip. To measure perceptual distance, we utilize the activations of convolutional neural networks and learn a perceptual dis...
2404.16370
Kenji Koide
Kenji Koide, Shuji Oishi, Masashi Yokozuka, and Atsuhiko Banno
MegaParticles: Range-based 6-DoF Monte Carlo Localization with GPU-Accelerated Stein Particle Filter
IEEE International Conference on Robotics and Automation (ICRA2024)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a 6-DoF range-based Monte Carlo localization method with a GPU-accelerated Stein particle filter. To update a massive amount of particles, we propose a Gauss-Newton-based Stein variational gradient descent (SVGD) with iterative neighbor particle search. This method uses SVGD to collectively update...
[ { "created": "Thu, 25 Apr 2024 07:17:30 GMT", "version": "v1" } ]
2024-04-26
[ [ "Koide", "Kenji", "" ], [ "Oishi", "Shuji", "" ], [ "Yokozuka", "Masashi", "" ], [ "Banno", "Atsuhiko", "" ] ]
This paper presents a 6-DoF range-based Monte Carlo localization method with a GPU-accelerated Stein particle filter. To update a massive amount of particles, we propose a Gauss-Newton-based Stein variational gradient descent (SVGD) with iterative neighbor particle search. This method uses SVGD to collectively update p...
2109.12389
Yun Lin
Xuezhi Song, Yun Lin, Siang Hwee Ng, Yijian Wu, Xin Peng, Jin Song Dong, Hong Mei
RegMiner: Towards Constructing a Large Regression Dataset from Code Evolution History
ISSTA'22
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Bug datasets consisting of real-world bugs are important artifacts for researchers and programmers, which lay empirical and experimental foundation for various SE/PL research such as fault localization, software testing, and program repair. All known state-of-the-art datasets are constructed manually, which inevitabl...
[ { "created": "Sat, 25 Sep 2021 15:29:13 GMT", "version": "v1" }, { "created": "Mon, 4 Jul 2022 16:43:05 GMT", "version": "v2" } ]
2022-07-05
[ [ "Song", "Xuezhi", "" ], [ "Lin", "Yun", "" ], [ "Ng", "Siang Hwee", "" ], [ "Wu", "Yijian", "" ], [ "Peng", "Xin", "" ], [ "Dong", "Jin Song", "" ], [ "Mei", "Hong", "" ] ]
Bug datasets consisting of real-world bugs are important artifacts for researchers and programmers, which lay empirical and experimental foundation for various SE/PL research such as fault localization, software testing, and program repair. All known state-of-the-art datasets are constructed manually, which inevitably ...
1612.01939
Baochen Sun
Baochen Sun, Jiashi Feng, Kate Saenko
Correlation Alignment for Unsupervised Domain Adaptation
Introduction to CORAL, CORAL-LDA, and Deep CORAL. arXiv admin note: text overlap with arXiv:1511.05547
null
null
null
cs.CV cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this chapter, we present CORrelation ALignment (CORAL), a simple yet effective method for unsupervised domain adaptation. CORAL minimizes domain shift by aligning the second-order statistics of source and target distributions, without requiring any target labels. In contrast to subspace manifold methods, it aligns...
[ { "created": "Tue, 6 Dec 2016 18:31:57 GMT", "version": "v1" } ]
2016-12-07
[ [ "Sun", "Baochen", "" ], [ "Feng", "Jiashi", "" ], [ "Saenko", "Kate", "" ] ]
In this chapter, we present CORrelation ALignment (CORAL), a simple yet effective method for unsupervised domain adaptation. CORAL minimizes domain shift by aligning the second-order statistics of source and target distributions, without requiring any target labels. In contrast to subspace manifold methods, it aligns t...
1908.08717
Mahault Garnerin
Mahault Garnerin, Solange Rossato, Laurent Besacier
Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance
Accepted to ACM Workshop AI4TV
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper analyzes the gender representation in four major corpora of French broadcast. These corpora being widely used within the speech processing community, they are a primary material for training automatic speech recognition (ASR) systems. As gender bias has been highlighted in numerous natural language process...
[ { "created": "Fri, 23 Aug 2019 08:51:19 GMT", "version": "v1" } ]
2019-08-26
[ [ "Garnerin", "Mahault", "" ], [ "Rossato", "Solange", "" ], [ "Besacier", "Laurent", "" ] ]
This paper analyzes the gender representation in four major corpora of French broadcast. These corpora being widely used within the speech processing community, they are a primary material for training automatic speech recognition (ASR) systems. As gender bias has been highlighted in numerous natural language processin...
2401.03246
Egor Shvetsov
Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Anatoly Glushenko, Ivan Sukharev, Dmitry Berestenev, Evgeny Burnaev
SeqNAS: Neural Architecture Search for Event Sequence Classification
in IEEE Access
null
10.1109/ACCESS.2024.3349497
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Architecture Search (NAS) methods are widely used in various industries to obtain high quality taskspecific solutions with minimal human intervention. Event Sequences find widespread use in various industrial applications including churn prediction customer segmentation fraud detection and fault diagnosis amon...
[ { "created": "Sat, 6 Jan 2024 16:00:26 GMT", "version": "v1" } ]
2024-01-09
[ [ "Udovichenko", "Igor", "" ], [ "Shvetsov", "Egor", "" ], [ "Divitsky", "Denis", "" ], [ "Osin", "Dmitry", "" ], [ "Trofimov", "Ilya", "" ], [ "Glushenko", "Anatoly", "" ], [ "Sukharev", "Ivan", "" ], [ ...
Neural Architecture Search (NAS) methods are widely used in various industries to obtain high quality taskspecific solutions with minimal human intervention. Event Sequences find widespread use in various industrial applications including churn prediction customer segmentation fraud detection and fault diagnosis among ...
1501.01432
Kuang Zhou
Kuang Zhou (IRISA), Arnaud Martin (IRISA), Quan Pan
Evidential-EM Algorithm Applied to Progressively Censored Observations
null
15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2014, Montpellier, France. pp.180 - 189
10.1007/978-3-319-08852-5_19
null
cs.AI stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Evidential-EM (E2M) algorithm is an effective approach for computing maximum likelihood estimations under finite mixture models, especially when there is uncertain information about data. In this paper we present an extension of the E2M method in a particular case of incom-plete data, where the loss of information is...
[ { "created": "Wed, 7 Jan 2015 10:27:45 GMT", "version": "v1" } ]
2015-01-08
[ [ "Zhou", "Kuang", "", "IRISA" ], [ "Martin", "Arnaud", "", "IRISA" ], [ "Pan", "Quan", "" ] ]
Evidential-EM (E2M) algorithm is an effective approach for computing maximum likelihood estimations under finite mixture models, especially when there is uncertain information about data. In this paper we present an extension of the E2M method in a particular case of incom-plete data, where the loss of information is d...
1905.11203
G\"unter Rote
G\"unter Rote
The Largest Contained Quadrilateral and the Smallest Enclosing Parallelogram of a Convex Polygon
7 pages + 4 pages of appendices, 4 figures, plus a prototype implementation in Python. This version is substantially extended, and the algorithms are given in pseudocode in the appendices. (Version 1 was only about the largest contained quadrilateral.)
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a linear-time algorithm for finding the quadrilateral of largest area contained in a convex polygon, and we show that it is closely related to an old algorithm for the smallest enclosing parallelogram of a convex polygon.
[ { "created": "Mon, 27 May 2019 13:44:15 GMT", "version": "v1" }, { "created": "Tue, 18 Jun 2019 09:49:16 GMT", "version": "v2" } ]
2019-06-19
[ [ "Rote", "Günter", "" ] ]
We present a linear-time algorithm for finding the quadrilateral of largest area contained in a convex polygon, and we show that it is closely related to an old algorithm for the smallest enclosing parallelogram of a convex polygon.
2309.13225
Christopher Ye
Barna Saha and Christopher Ye
Faster Approximate All Pairs Shortest Paths
81 pages
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The all pairs shortest path problem (APSP) is one of the foundational problems in computer science. For weighted dense graphs on $n$ vertices, no truly sub-cubic algorithms exist to compute APSP exactly even for undirected graphs. This is popularly known as the APSP conjecture and has played a prominent role in devel...
[ { "created": "Sat, 23 Sep 2023 00:27:31 GMT", "version": "v1" } ]
2023-09-26
[ [ "Saha", "Barna", "" ], [ "Ye", "Christopher", "" ] ]
The all pairs shortest path problem (APSP) is one of the foundational problems in computer science. For weighted dense graphs on $n$ vertices, no truly sub-cubic algorithms exist to compute APSP exactly even for undirected graphs. This is popularly known as the APSP conjecture and has played a prominent role in develop...
1805.07527
Ram Prakash Sharma Mr.
Ram Prakash Sharma, Somnath Dey
Two-stage quality adaptive fingerprint image enhancement using Fuzzy c-means clustering based fingerprint quality analysis
34 pages, 8 figures, Submitted to Image and Vision Computing
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fingerprint recognition techniques are immensely dependent on quality of the fingerprint images. To improve the performance of recognition algorithm for poor quality images an efficient enhancement algorithm should be designed. Performance improvement of recognition algorithm will be more if enhancement process is ad...
[ { "created": "Sat, 19 May 2018 06:49:17 GMT", "version": "v1" } ]
2018-05-22
[ [ "Sharma", "Ram Prakash", "" ], [ "Dey", "Somnath", "" ] ]
Fingerprint recognition techniques are immensely dependent on quality of the fingerprint images. To improve the performance of recognition algorithm for poor quality images an efficient enhancement algorithm should be designed. Performance improvement of recognition algorithm will be more if enhancement process is adap...
1701.05290
Rasmus Pagh
Joachim Gudmundsson and Rasmus Pagh
Range-efficient consistent sampling and locality-sensitive hashing for polygons
A shorter version appears in Proceedings of ISAAC 2017
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Locality-sensitive hashing (LSH) is a fundamental technique for similarity search and similarity estimation in high-dimensional spaces. The basic idea is that similar objects should produce hash collisions with probability significantly larger than objects with low similarity. We consider LSH for objects that can be ...
[ { "created": "Thu, 19 Jan 2017 03:57:28 GMT", "version": "v1" }, { "created": "Fri, 22 Sep 2017 12:12:29 GMT", "version": "v2" } ]
2017-09-25
[ [ "Gudmundsson", "Joachim", "" ], [ "Pagh", "Rasmus", "" ] ]
Locality-sensitive hashing (LSH) is a fundamental technique for similarity search and similarity estimation in high-dimensional spaces. The basic idea is that similar objects should produce hash collisions with probability significantly larger than objects with low similarity. We consider LSH for objects that can be re...
2403.19786
Mingxing Rao
Mingxing Rao, Yinhong Qin, Soheil Kolouri, Jie Ying Wu, Daniel Moyer
Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition
17 pages,4 figures, 7 tables, IPCAI 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose: Surgical video is an important data stream for gesture recognition. Thus, robust visual encoders for those data-streams is similarly important. Methods: Leveraging the Bridge-Prompt framework, we fine-tune a pre-trained vision-text model (CLIP) for gesture recognition in surgical videos. This can utilize ext...
[ { "created": "Thu, 28 Mar 2024 19:10:54 GMT", "version": "v1" } ]
2024-04-01
[ [ "Rao", "Mingxing", "" ], [ "Qin", "Yinhong", "" ], [ "Kolouri", "Soheil", "" ], [ "Wu", "Jie Ying", "" ], [ "Moyer", "Daniel", "" ] ]
Purpose: Surgical video is an important data stream for gesture recognition. Thus, robust visual encoders for those data-streams is similarly important. Methods: Leveraging the Bridge-Prompt framework, we fine-tune a pre-trained vision-text model (CLIP) for gesture recognition in surgical videos. This can utilize exten...
2205.12215
Gabriele Sarti
Gabriele Sarti, Arianna Bisazza, Ana Guerberof Arenas, Antonio Toral
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
EMNLP 2022, materials: https://github.com/gsarti/divemt
Proceedings of EMNLP (2022) 7795-7816
10.18653/v1/2022.emnlp-main.532
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
We introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or post-edit the same set of English documents into Arabic, Dutch, ...
[ { "created": "Tue, 24 May 2022 17:22:52 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2022 16:38:00 GMT", "version": "v2" } ]
2023-09-08
[ [ "Sarti", "Gabriele", "" ], [ "Bisazza", "Arianna", "" ], [ "Arenas", "Ana Guerberof", "" ], [ "Toral", "Antonio", "" ] ]
We introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or post-edit the same set of English documents into Arabic, Dutch, It...
1808.05665
Lea Sch\"onherr
Lea Sch\"onherr, Katharina Kohls, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
null
null
null
null
cs.CR cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Voice interfaces are becoming accepted widely as input methods for a diverse set of devices. This development is driven by rapid improvements in automatic speech recognition (ASR), which now performs on par with human listening in many tasks. These improvements base on an ongoing evolution of DNNs as the computationa...
[ { "created": "Thu, 16 Aug 2018 20:00:47 GMT", "version": "v1" }, { "created": "Tue, 30 Oct 2018 12:02:07 GMT", "version": "v2" } ]
2018-10-31
[ [ "Schönherr", "Lea", "" ], [ "Kohls", "Katharina", "" ], [ "Zeiler", "Steffen", "" ], [ "Holz", "Thorsten", "" ], [ "Kolossa", "Dorothea", "" ] ]
Voice interfaces are becoming accepted widely as input methods for a diverse set of devices. This development is driven by rapid improvements in automatic speech recognition (ASR), which now performs on par with human listening in many tasks. These improvements base on an ongoing evolution of DNNs as the computational ...
2406.07040
Michael Foster
Germ\'an Vega, Roland Groz, Catherine Oriat, Michael Foster, Neil Walkinshaw, Adenilso Sim\~ao
Learning EFSM Models with Registers in Guards
14 pages (last page blank), 8 figures, 4 algorithms Submitted to LearnAut workshop 2024 (not published)
null
null
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
This paper presents an active inference method for Extended Finite State Machines, where inputs and outputs are parametrized, and transitions can be conditioned by guards involving input parameters and internal variables called registers. The method applies to (software) systems that cannot be reset, so it learns an ...
[ { "created": "Tue, 11 Jun 2024 07:55:09 GMT", "version": "v1" } ]
2024-06-12
[ [ "Vega", "Germán", "" ], [ "Groz", "Roland", "" ], [ "Oriat", "Catherine", "" ], [ "Foster", "Michael", "" ], [ "Walkinshaw", "Neil", "" ], [ "Simão", "Adenilso", "" ] ]
This paper presents an active inference method for Extended Finite State Machines, where inputs and outputs are parametrized, and transitions can be conditioned by guards involving input parameters and internal variables called registers. The method applies to (software) systems that cannot be reset, so it learns an EF...
2404.03061
Kleinner Farias
Maicon Azevedo da Luz, Kleinner Farias
WebSPL: A Software Product Line for Web Applications
6 figures, 3 tables
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Companies developing Web applications have faced an increasing demand for high-quality products with low cost and production time ever smaller. However, developing such applications is still considered a time-consuming and error-prone task, mainly due to the difficulty of promoting the reuse of features (or functiona...
[ { "created": "Wed, 3 Apr 2024 21:04:54 GMT", "version": "v1" } ]
2024-04-05
[ [ "da Luz", "Maicon Azevedo", "" ], [ "Farias", "Kleinner", "" ] ]
Companies developing Web applications have faced an increasing demand for high-quality products with low cost and production time ever smaller. However, developing such applications is still considered a time-consuming and error-prone task, mainly due to the difficulty of promoting the reuse of features (or functionali...
2105.07924
Yuan Cao
Yuan Cao, Yonglin Cao, Fanghui Ma
Construction and enumeration of left dihedral codes satisfying certain duality properties
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $\mathbb{F}_{q}$ be the finite field of $q$ elements and let $D_{2n}=\langle x,y\mid x^n=1, y^2=1, yxy=x^{n-1}\rangle$ be the dihedral group of order $n$. Left ideals of the group algebra $\mathbb{F}_{q}[D_{2n}]$ are known as left dihedral codes over $\mathbb{F}_{q}$ of length $2n$, and abbreviated as left $D_{2n...
[ { "created": "Mon, 17 May 2021 15:01:38 GMT", "version": "v1" } ]
2021-05-18
[ [ "Cao", "Yuan", "" ], [ "Cao", "Yonglin", "" ], [ "Ma", "Fanghui", "" ] ]
Let $\mathbb{F}_{q}$ be the finite field of $q$ elements and let $D_{2n}=\langle x,y\mid x^n=1, y^2=1, yxy=x^{n-1}\rangle$ be the dihedral group of order $n$. Left ideals of the group algebra $\mathbb{F}_{q}[D_{2n}]$ are known as left dihedral codes over $\mathbb{F}_{q}$ of length $2n$, and abbreviated as left $D_{2n}$...
2005.11194
Charlie Kirkwood
Charlie Kirkwood
Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications
14 pages, 8 figures, submitted to journal
null
null
null
cs.CV cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Where data is available, it is desirable in geostatistical modelling to make use of additional covariates, for example terrain data, in order to improve prediction accuracy in the modelling task. While elevation itself may be important, additional explanatory power for any given problem can be sought (but not necessa...
[ { "created": "Fri, 22 May 2020 14:00:28 GMT", "version": "v1" }, { "created": "Mon, 15 Jun 2020 11:19:48 GMT", "version": "v2" } ]
2020-06-16
[ [ "Kirkwood", "Charlie", "" ] ]
Where data is available, it is desirable in geostatistical modelling to make use of additional covariates, for example terrain data, in order to improve prediction accuracy in the modelling task. While elevation itself may be important, additional explanatory power for any given problem can be sought (but not necessari...
1206.4679
Ryohei Fujimaki
Ryohei Fujimaki (NEC Laboratories America), Kohei Hayashi (Nara Institute of Science and Technology)
Factorized Asymptotic Bayesian Hidden Markov Models
ICML2012
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the issue of model selection for hidden Markov models (HMMs). We generalize factorized asymptotic Bayesian inference (FAB), which has been recently developed for model selection on independent hidden variables (i.e., mixture models), for time-dependent hidden variables. As with FAB in mixture mod...
[ { "created": "Mon, 18 Jun 2012 15:37:59 GMT", "version": "v1" } ]
2012-06-22
[ [ "Fujimaki", "Ryohei", "", "NEC Laboratories America" ], [ "Hayashi", "Kohei", "", "Nara\n Institute of Science and Technology" ] ]
This paper addresses the issue of model selection for hidden Markov models (HMMs). We generalize factorized asymptotic Bayesian inference (FAB), which has been recently developed for model selection on independent hidden variables (i.e., mixture models), for time-dependent hidden variables. As with FAB in mixture model...
2102.07530
Huanjie Wang
Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li
Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making
12 pages, 9 figures
null
10.1109/TASE.2021.3103179
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humans make daily routine decisions based on their internal states in intricate interaction scenarios. This paper presents a probabilistically reconstructive learning approach to identify the internal states of multi-vehicle sequential interactions when merging at highway on-ramps. We treated the merging task's seque...
[ { "created": "Mon, 15 Feb 2021 13:06:35 GMT", "version": "v1" }, { "created": "Fri, 14 May 2021 03:02:42 GMT", "version": "v2" } ]
2021-08-17
[ [ "Wang", "Huanjie", "" ], [ "Wang", "Wenshuo", "" ], [ "Yuan", "Shihua", "" ], [ "Li", "Xueyuan", "" ] ]
Humans make daily routine decisions based on their internal states in intricate interaction scenarios. This paper presents a probabilistically reconstructive learning approach to identify the internal states of multi-vehicle sequential interactions when merging at highway on-ramps. We treated the merging task's sequent...
1502.03634
Youngsung Kim
Youngsung Kim, Francisco C. Pereira, Fang Zhao, Ajinkya Ghorpade, P. Christopher Zegras, Moshe Ben-Akiva
Activity recognition for a smartphone and web based travel survey
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In transport modeling and prediction, trip purposes play an important role since mobility choices (e.g. modes, routes, departure times) are made in order to carry out specific activities. Activity based models, which have been gaining popularity in recent years, are built from a large number of observed trips and the...
[ { "created": "Thu, 12 Feb 2015 12:40:32 GMT", "version": "v1" } ]
2015-02-16
[ [ "Kim", "Youngsung", "" ], [ "Pereira", "Francisco C.", "" ], [ "Zhao", "Fang", "" ], [ "Ghorpade", "Ajinkya", "" ], [ "Zegras", "P. Christopher", "" ], [ "Ben-Akiva", "Moshe", "" ] ]
In transport modeling and prediction, trip purposes play an important role since mobility choices (e.g. modes, routes, departure times) are made in order to carry out specific activities. Activity based models, which have been gaining popularity in recent years, are built from a large number of observed trips and their...
2310.06390
Joosung Lee
Joosung Lee, Minsik Oh, Donghun Lee
P5: Plug-and-Play Persona Prompting for Personalized Response Selection
EMNLP 2023 main conference
null
null
null
cs.CL cs.AI cs.IR
http://creativecommons.org/licenses/by/4.0/
The use of persona-grounded retrieval-based chatbots is crucial for personalized conversations, but there are several challenges that need to be addressed. 1) In general, collecting persona-grounded corpus is very expensive. 2) The chatbot system does not always respond in consideration of persona at real application...
[ { "created": "Tue, 10 Oct 2023 07:53:36 GMT", "version": "v1" } ]
2023-10-11
[ [ "Lee", "Joosung", "" ], [ "Oh", "Minsik", "" ], [ "Lee", "Donghun", "" ] ]
The use of persona-grounded retrieval-based chatbots is crucial for personalized conversations, but there are several challenges that need to be addressed. 1) In general, collecting persona-grounded corpus is very expensive. 2) The chatbot system does not always respond in consideration of persona at real applications....
2203.06760
Yuan Gong
Yuan Gong, Sameer Khurana, Andrew Rouditchenko, and James Glass
CMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio Classification
null
null
null
null
cs.SD cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
Audio classification is an active research area with a wide range of applications. Over the past decade, convolutional neural networks (CNNs) have been the de-facto standard building block for end-to-end audio classification models. Recently, neural networks based solely on self-attention mechanisms such as the Audio...
[ { "created": "Sun, 13 Mar 2022 21:14:04 GMT", "version": "v1" } ]
2022-03-15
[ [ "Gong", "Yuan", "" ], [ "Khurana", "Sameer", "" ], [ "Rouditchenko", "Andrew", "" ], [ "Glass", "James", "" ] ]
Audio classification is an active research area with a wide range of applications. Over the past decade, convolutional neural networks (CNNs) have been the de-facto standard building block for end-to-end audio classification models. Recently, neural networks based solely on self-attention mechanisms such as the Audio S...
1309.1700
Yang Liu
Yang Liu
Towards a Unified Belief Structure in Games with indeterminate probabilities
Preliminary versions of different parts of this paper were at the 4th Formal Epistemology Festival (Konstanz 2012) and the 67th European meeting of the Econometric Society (EEA|ESEM 2013)
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides an analysis of different formal representations of beliefs in epistemic game theory. The aim is to attempt a synthesis of different structures of beliefs in the presence of indeterminate probabilities. Special attention is also paid to the decision-theoretic principle known as the thesis of no sub...
[ { "created": "Fri, 6 Sep 2013 17:00:31 GMT", "version": "v1" } ]
2013-09-09
[ [ "Liu", "Yang", "" ] ]
This paper provides an analysis of different formal representations of beliefs in epistemic game theory. The aim is to attempt a synthesis of different structures of beliefs in the presence of indeterminate probabilities. Special attention is also paid to the decision-theoretic principle known as the thesis of no subje...
2307.09065
Avishkar Saha
Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden
Learning Adaptive Neighborhoods for Graph Neural Networks
ICCV 2023
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Graph convolutional networks (GCNs) enable end-to-end learning on graph structured data. However, many works assume a given graph structure. When the input graph is noisy or unavailable, one approach is to construct or learn a latent graph structure. These methods typically fix the choice of node degree for the entir...
[ { "created": "Tue, 18 Jul 2023 08:37:25 GMT", "version": "v1" } ]
2023-07-19
[ [ "Saha", "Avishkar", "" ], [ "Mendez", "Oscar", "" ], [ "Russell", "Chris", "" ], [ "Bowden", "Richard", "" ] ]
Graph convolutional networks (GCNs) enable end-to-end learning on graph structured data. However, many works assume a given graph structure. When the input graph is noisy or unavailable, one approach is to construct or learn a latent graph structure. These methods typically fix the choice of node degree for the entire ...
1603.04610
Florent Altche
Florent Altch\'e, Xiangjun Qian, Arnaud de La Fortelle
Time-optimal Coordination of Mobile Robots along Specified Paths
Published in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
null
10.1109/IROS.2016.7759737
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we address the problem of time-optimal coordination of mobile robots under kinodynamic constraints along specified paths. We propose a novel approach based on time discretization that leads to a mixed-integer linear programming (MILP) formulation. This problem can be solved using general-purpose MILP s...
[ { "created": "Tue, 15 Mar 2016 09:29:28 GMT", "version": "v1" }, { "created": "Tue, 30 Aug 2016 09:34:25 GMT", "version": "v2" }, { "created": "Wed, 5 Apr 2017 15:30:44 GMT", "version": "v3" } ]
2017-04-06
[ [ "Altché", "Florent", "" ], [ "Qian", "Xiangjun", "" ], [ "de La Fortelle", "Arnaud", "" ] ]
In this paper, we address the problem of time-optimal coordination of mobile robots under kinodynamic constraints along specified paths. We propose a novel approach based on time discretization that leads to a mixed-integer linear programming (MILP) formulation. This problem can be solved using general-purpose MILP sol...
1906.06085
Dimitri Vorona
Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The amount of the available geospatial data grows at an ever faster pace. This leads to the constantly increasing demand for processing power and storage in order to provide data analysis in a timely manner. At the same time, a lot of geospatial processing is visual and exploratory in nature, thus having bounded prec...
[ { "created": "Fri, 14 Jun 2019 09:16:16 GMT", "version": "v1" } ]
2019-06-17
[ [ "Vorona", "Dimitri", "" ], [ "Kipf", "Andreas", "" ], [ "Neumann", "Thomas", "" ], [ "Kemper", "Alfons", "" ] ]
The amount of the available geospatial data grows at an ever faster pace. This leads to the constantly increasing demand for processing power and storage in order to provide data analysis in a timely manner. At the same time, a lot of geospatial processing is visual and exploratory in nature, thus having bounded precis...
2302.01417
Nelly Elsayed
Shrish Pellakur, Nelly Elsayed, Zag ElSayed, Murat Ozer
A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images
Short paper, Under Review in FLAIRS-36
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have a cure currently, diagnosing it at an earlier stage will help reduce the severity of the disease. Thus, early diagnosis of Alzheimer's co...
[ { "created": "Thu, 2 Feb 2023 21:10:31 GMT", "version": "v1" }, { "created": "Wed, 15 Feb 2023 23:54:18 GMT", "version": "v2" } ]
2023-02-17
[ [ "Pellakur", "Shrish", "" ], [ "Elsayed", "Nelly", "" ], [ "ElSayed", "Zag", "" ], [ "Ozer", "Murat", "" ] ]
Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have a cure currently, diagnosing it at an earlier stage will help reduce the severity of the disease. Thus, early diagnosis of Alzheimer's coul...
2205.11981
Yaoyao Zhong
Yaoyao Zhong and Weihong Deng
OPOM: Customized Invisible Cloak towards Face Privacy Protection
This article has been accepted by IEEE Transactions on Pattern Analysis & Machine Intelligence. Datasets and code are available at https://github.com/zhongyy/OPOM
null
10.1109/TPAMI.2022.3175602
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While convenient in daily life, face recognition technologies also raise privacy concerns for regular users on the social media since they could be used to analyze face images and videos, efficiently and surreptitiously without any security restrictions. In this paper, we investigate the face privacy protection from ...
[ { "created": "Tue, 24 May 2022 11:29:37 GMT", "version": "v1" } ]
2022-05-25
[ [ "Zhong", "Yaoyao", "" ], [ "Deng", "Weihong", "" ] ]
While convenient in daily life, face recognition technologies also raise privacy concerns for regular users on the social media since they could be used to analyze face images and videos, efficiently and surreptitiously without any security restrictions. In this paper, we investigate the face privacy protection from a ...
2206.00182
Ali Athar
Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe
Differentiable Soft-Masked Attention
arXiv admin note: text overlap with arXiv:2112.09131
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformers have become prevalent in computer vision due to their performance and flexibility in modelling complex operations. Of particular significance is the 'cross-attention' operation, which allows a vector representation (e.g. of an object in an image) to be learned by attending to an arbitrarily sized set of ...
[ { "created": "Wed, 1 Jun 2022 02:05:13 GMT", "version": "v1" }, { "created": "Fri, 5 Aug 2022 14:09:12 GMT", "version": "v2" } ]
2022-08-08
[ [ "Athar", "Ali", "" ], [ "Luiten", "Jonathon", "" ], [ "Hermans", "Alexander", "" ], [ "Ramanan", "Deva", "" ], [ "Leibe", "Bastian", "" ] ]
Transformers have become prevalent in computer vision due to their performance and flexibility in modelling complex operations. Of particular significance is the 'cross-attention' operation, which allows a vector representation (e.g. of an object in an image) to be learned by attending to an arbitrarily sized set of in...
1609.00878
Joao Papa
Silas E. N. Fernandes, Danillo R. Pereira, Caio C. O. Ramos, Andre N. Souza and Joao P. Papa
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems
Submitted to Neural Processing Letters
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when dealing with problems where one is not interested in recognition/identification only, but also into monitoring the behavior of consumers an...
[ { "created": "Sun, 4 Sep 2016 00:12:04 GMT", "version": "v1" } ]
2016-09-06
[ [ "Fernandes", "Silas E. N.", "" ], [ "Pereira", "Danillo R.", "" ], [ "Ramos", "Caio C. O.", "" ], [ "Souza", "Andre N.", "" ], [ "Papa", "Joao P.", "" ] ]
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when dealing with problems where one is not interested in recognition/identification only, but also into monitoring the behavior of consumers and/...
2111.12332
Srivatsan Sridhar
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh
Longest Chain Consensus Under Bandwidth Constraint
null
null
null
null
cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spamming attacks are a serious concern for consensus protocols, as witnessed by recent outages of a major blockchain, Solana. They cause congestion and excessive message delays in a real network due to its bandwidth constraints. In contrast, longest chain (LC), an important family of consensus protocols, has previous...
[ { "created": "Wed, 24 Nov 2021 08:29:34 GMT", "version": "v1" }, { "created": "Fri, 28 Jan 2022 03:09:29 GMT", "version": "v2" }, { "created": "Wed, 18 May 2022 00:05:34 GMT", "version": "v3" } ]
2022-05-19
[ [ "Neu", "Joachim", "" ], [ "Sridhar", "Srivatsan", "" ], [ "Yang", "Lei", "" ], [ "Tse", "David", "" ], [ "Alizadeh", "Mohammad", "" ] ]
Spamming attacks are a serious concern for consensus protocols, as witnessed by recent outages of a major blockchain, Solana. They cause congestion and excessive message delays in a real network due to its bandwidth constraints. In contrast, longest chain (LC), an important family of consensus protocols, has previously...
1809.08928
Preslav Nakov
Shafiq Joty, Lluis Marquez, Preslav Nakov
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
community question answering, task-specific embeddings, multi-task learning, EMNLP-2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address jointly two important tasks for Question Answering in community forums: given a new question, (i) find related existing questions, and (ii) find relevant answers to this new question. We further use an auxiliary task to complement the previous two, i.e., (iii) find good answers with respect to the thread q...
[ { "created": "Mon, 24 Sep 2018 13:49:14 GMT", "version": "v1" } ]
2018-09-25
[ [ "Joty", "Shafiq", "" ], [ "Marquez", "Lluis", "" ], [ "Nakov", "Preslav", "" ] ]
We address jointly two important tasks for Question Answering in community forums: given a new question, (i) find related existing questions, and (ii) find relevant answers to this new question. We further use an auxiliary task to complement the previous two, i.e., (iii) find good answers with respect to the thread que...
1702.05730
Jie Hao
Jie Hao, Shu-Tao Xia, and Bin Chen
On Optimal Ternary Locally Repairable Codes
5 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an $[n,k,d]$ linear code, a code symbol is said to have locality $r$ if it can be repaired by accessing at most $r$ other code symbols. For an $(n,k,r)$ \emph{locally repairable code} (LRC), the minimum distance satisfies the well-known Singleton-like bound $d\le n-k-\lceil k/r\rceil +2$. In this paper, we study o...
[ { "created": "Sun, 19 Feb 2017 10:02:02 GMT", "version": "v1" } ]
2017-02-21
[ [ "Hao", "Jie", "" ], [ "Xia", "Shu-Tao", "" ], [ "Chen", "Bin", "" ] ]
In an $[n,k,d]$ linear code, a code symbol is said to have locality $r$ if it can be repaired by accessing at most $r$ other code symbols. For an $(n,k,r)$ \emph{locally repairable code} (LRC), the minimum distance satisfies the well-known Singleton-like bound $d\le n-k-\lceil k/r\rceil +2$. In this paper, we study opt...
1501.02670
Amaru Cuba Gyllensten
Amaru Cuba Gyllensten and Magnus Sahlgren
Navigating the Semantic Horizon using Relative Neighborhood Graphs
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is concerned with nearest neighbor search in distributional semantic models. A normal nearest neighbor search only returns a ranked list of neighbors, with no information about the structure or topology of the local neighborhood. This is a potentially serious shortcoming of the mode of querying a distribut...
[ { "created": "Mon, 12 Jan 2015 14:48:54 GMT", "version": "v1" } ]
2015-01-13
[ [ "Gyllensten", "Amaru Cuba", "" ], [ "Sahlgren", "Magnus", "" ] ]
This paper is concerned with nearest neighbor search in distributional semantic models. A normal nearest neighbor search only returns a ranked list of neighbors, with no information about the structure or topology of the local neighborhood. This is a potentially serious shortcoming of the mode of querying a distributio...
1504.07678
Hongzhao Huang
Hongzhao Huang and Larry Heck and Heng Ji
Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Entity Disambiguation aims to link mentions of ambiguous entities to a knowledge base (e.g., Wikipedia). Modeling topical coherence is crucial for this task based on the assumption that information from the same semantic context tends to belong to the same topic. This paper presents a novel deep semantic relatedness ...
[ { "created": "Tue, 28 Apr 2015 22:47:25 GMT", "version": "v1" } ]
2015-04-30
[ [ "Huang", "Hongzhao", "" ], [ "Heck", "Larry", "" ], [ "Ji", "Heng", "" ] ]
Entity Disambiguation aims to link mentions of ambiguous entities to a knowledge base (e.g., Wikipedia). Modeling topical coherence is crucial for this task based on the assumption that information from the same semantic context tends to belong to the same topic. This paper presents a novel deep semantic relatedness mo...
2112.01988
Can G\"umeli
Can G\"umeli, Angela Dai, Matthias Nie{\ss}ner
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
null
null
10.1109/CVPR52688.2022.00399
null
cs.CV cs.GR cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image. This enables 3D perception of an observed scene from a 2D RGB observation, characterized as a lightweight, compact, clean CAD representation. Core to our approach is our differentiable a...
[ { "created": "Fri, 3 Dec 2021 16:02:32 GMT", "version": "v1" }, { "created": "Sun, 24 Jul 2022 16:25:49 GMT", "version": "v2" } ]
2022-11-28
[ [ "Gümeli", "Can", "" ], [ "Dai", "Angela", "" ], [ "Nießner", "Matthias", "" ] ]
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image. This enables 3D perception of an observed scene from a 2D RGB observation, characterized as a lightweight, compact, clean CAD representation. Core to our approach is our differentiable ali...
2303.04356
Taisuke Kobayashi
Taisuke Kobayashi
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint
10 pages, 9 figures
null
null
null
cs.LG cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Soft actor-critic (SAC) in reinforcement learning is expected to be one of the next-generation robot control schemes. Its ability to maximize policy entropy would make a robotic controller robust to noise and perturbation, which is useful for real-world robot applications. However, the priority of maximizing the poli...
[ { "created": "Wed, 8 Mar 2023 03:32:50 GMT", "version": "v1" }, { "created": "Sun, 2 Jul 2023 08:48:56 GMT", "version": "v2" } ]
2023-07-04
[ [ "Kobayashi", "Taisuke", "" ] ]
Soft actor-critic (SAC) in reinforcement learning is expected to be one of the next-generation robot control schemes. Its ability to maximize policy entropy would make a robotic controller robust to noise and perturbation, which is useful for real-world robot applications. However, the priority of maximizing the policy...
2304.10513
Shen Zheng
Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
Why Does ChatGPT Fall Short in Providing Truthful Answers?
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advancements in large language models, such as ChatGPT, have demonstrated significant potential to impact various aspects of human life. However, ChatGPT still faces challenges in providing reliable and accurate answers to user questions. To better understand the model's particular weaknesses in providing trut...
[ { "created": "Thu, 20 Apr 2023 17:48:43 GMT", "version": "v1" }, { "created": "Wed, 24 May 2023 04:58:47 GMT", "version": "v2" }, { "created": "Sun, 3 Dec 2023 23:01:19 GMT", "version": "v3" } ]
2023-12-05
[ [ "Zheng", "Shen", "" ], [ "Huang", "Jie", "" ], [ "Chang", "Kevin Chen-Chuan", "" ] ]
Recent advancements in large language models, such as ChatGPT, have demonstrated significant potential to impact various aspects of human life. However, ChatGPT still faces challenges in providing reliable and accurate answers to user questions. To better understand the model's particular weaknesses in providing truthf...
2402.10318
Ralf M\"uller
Ralf R. M\"uller
Multi-Antenna Towards Inband Shift Keying
The initial version of this paper contains an error. It calculates the beamforming gain of transmit beamforming for N antennas as N, but it should be N^2. This error has been corrected in the latest version
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by-nc-sa/4.0/
We propose a new continuous phase frequency shift keying that is particularly suited for multi-antenna communications when the link budget is critical and beam alignment is problematic. It combines the constant envelope of frequency modulation with low-rate repetition coding in order to compensate for the absence of ...
[ { "created": "Thu, 15 Feb 2024 20:41:09 GMT", "version": "v1" }, { "created": "Tue, 20 Feb 2024 08:33:13 GMT", "version": "v2" }, { "created": "Mon, 8 Apr 2024 15:42:41 GMT", "version": "v3" } ]
2024-04-09
[ [ "Müller", "Ralf R.", "" ] ]
We propose a new continuous phase frequency shift keying that is particularly suited for multi-antenna communications when the link budget is critical and beam alignment is problematic. It combines the constant envelope of frequency modulation with low-rate repetition coding in order to compensate for the absence of tr...
1604.04721
Victor Sanchez-Anguix Dr.
Juan M. Alberola, Elena Del Val, Victor Sanchez-Anguix, Alberto Palomares and Maria Dolores Teruel
An artificial intelligence tool for heterogeneous team formation in the classroom
null
Knowledge-Based Systems, 2016
10.1016/j.knosys.2016.02.010
null
cs.AI cs.CY cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, there is increasing interest in the development of teamwork skills in the educational context. This growing interest is motivated by its pedagogical effectiveness and the fact that, in labour contexts, enterprises organize their employees in teams to carry out complex projects. Despite its crucial importanc...
[ { "created": "Sat, 16 Apr 2016 10:50:02 GMT", "version": "v1" } ]
2016-04-19
[ [ "Alberola", "Juan M.", "" ], [ "Del Val", "Elena", "" ], [ "Sanchez-Anguix", "Victor", "" ], [ "Palomares", "Alberto", "" ], [ "Teruel", "Maria Dolores", "" ] ]
Nowadays, there is increasing interest in the development of teamwork skills in the educational context. This growing interest is motivated by its pedagogical effectiveness and the fact that, in labour contexts, enterprises organize their employees in teams to carry out complex projects. Despite its crucial importance ...
1908.00916
Dominik Mach\'a\v{c}ek
Dominik Mach\'a\v{c}ek, Jon\'a\v{s} Kratochv\'il, Tereza Vojt\v{e}chov\'a, Ond\v{r}ej Bojar
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts
SLSP 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a test corpus of audio recordings and transcriptions of presentations of students' enterprises together with their slides and web-pages. The corpus is intended for evaluation of automatic speech recognition (ASR) systems, especially in conditions where the prior availability of in-domain vocabulary and nam...
[ { "created": "Fri, 2 Aug 2019 15:39:31 GMT", "version": "v1" } ]
2019-08-05
[ [ "Macháček", "Dominik", "" ], [ "Kratochvíl", "Jonáš", "" ], [ "Vojtěchová", "Tereza", "" ], [ "Bojar", "Ondřej", "" ] ]
We present a test corpus of audio recordings and transcriptions of presentations of students' enterprises together with their slides and web-pages. The corpus is intended for evaluation of automatic speech recognition (ASR) systems, especially in conditions where the prior availability of in-domain vocabulary and named...
1108.5250
Tshilidzi Marwala
A.K. Mohamed, T. Marwala, and L.R. John
Single-trial EEG Discrimination between Wrist and Finger Movement Imagery and Execution in a Sensorimotor BCI
33rd Annual International IEEE EMBS Conference 2011
null
10.1109/IEMBS.2011.6091552
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A brain-computer interface (BCI) may be used to control a prosthetic or orthotic hand using neural activity from the brain. The core of this sensorimotor BCI lies in the interpretation of the neural information extracted from electroencephalogram (EEG). It is desired to improve on the interpretation of EEG to allow p...
[ { "created": "Fri, 26 Aug 2011 07:10:04 GMT", "version": "v1" } ]
2016-11-17
[ [ "Mohamed", "A. K.", "" ], [ "Marwala", "T.", "" ], [ "John", "L. R.", "" ] ]
A brain-computer interface (BCI) may be used to control a prosthetic or orthotic hand using neural activity from the brain. The core of this sensorimotor BCI lies in the interpretation of the neural information extracted from electroencephalogram (EEG). It is desired to improve on the interpretation of EEG to allow peo...
2110.15789
Thi Huyen Nguyen
Thi Huyen Nguyen, Tu Nguyen, Tuan-Anh Hoang, Claudia Nieder\'ee
On the Feasibility of Predicting Questions being Forgotten in Stack Overflow
null
null
null
null
cs.IR cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
For their attractiveness, comprehensiveness and dynamic coverage of relevant topics, community-based question answering sites such as Stack Overflow heavily rely on the engagement of their communities: Questions on new technologies, technology features as well as technology versions come up and have to be answered as...
[ { "created": "Fri, 29 Oct 2021 15:59:11 GMT", "version": "v1" } ]
2021-11-01
[ [ "Nguyen", "Thi Huyen", "" ], [ "Nguyen", "Tu", "" ], [ "Hoang", "Tuan-Anh", "" ], [ "Niederée", "Claudia", "" ] ]
For their attractiveness, comprehensiveness and dynamic coverage of relevant topics, community-based question answering sites such as Stack Overflow heavily rely on the engagement of their communities: Questions on new technologies, technology features as well as technology versions come up and have to be answered as t...
2112.10930
Tianyun Zhang
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting
null
null
null
null
cs.NE cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) have shown to provide superb performance in many real life applications, but their large computation cost and storage requirement have prevented them from being deployed to many edge and internet-of-things (IoT) devices. Sparse deep neural networks, whose majority weight parameters are zer...
[ { "created": "Tue, 21 Dec 2021 01:35:51 GMT", "version": "v1" } ]
2021-12-22
[ [ "Qin", "Minghai", "" ], [ "Zhang", "Tianyun", "" ], [ "Sun", "Fei", "" ], [ "Chen", "Yen-Kuang", "" ], [ "Fardad", "Makan", "" ], [ "Wang", "Yanzhi", "" ], [ "Xie", "Yuan", "" ] ]
Deep neural networks (DNNs) have shown to provide superb performance in many real life applications, but their large computation cost and storage requirement have prevented them from being deployed to many edge and internet-of-things (IoT) devices. Sparse deep neural networks, whose majority weight parameters are zeros...
1901.07129
Xiang Kong
Xiang Kong, Bohan Li, Graham Neubig, Eduard Hovy, Yiming Yang
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
DEEP-DIAL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose a method for neural dialogue response generation that allows not only generating semantically reasonable responses according to the dialogue history, but also explicitly controlling the sentiment of the response via sentiment labels. Our proposed model is based on the paradigm of conditional ...
[ { "created": "Tue, 22 Jan 2019 00:29:27 GMT", "version": "v1" } ]
2019-01-23
[ [ "Kong", "Xiang", "" ], [ "Li", "Bohan", "" ], [ "Neubig", "Graham", "" ], [ "Hovy", "Eduard", "" ], [ "Yang", "Yiming", "" ] ]
In this work, we propose a method for neural dialogue response generation that allows not only generating semantically reasonable responses according to the dialogue history, but also explicitly controlling the sentiment of the response via sentiment labels. Our proposed model is based on the paradigm of conditional ad...
2311.12159
Jia-Hong Huang
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Conditional Modeling Based Automatic Video Summarization
This work has been submitted to the IEEE for possible publication. arXiv admin note: substantial text overlap with arXiv:2305.00455
null
null
null
cs.CV cs.AI cs.IR cs.LG cs.MM
http://creativecommons.org/licenses/by/4.0/
The aim of video summarization is to shorten videos automatically while retaining the key information necessary to convey the overall story. Video summarization methods mainly rely on visual factors, such as visual consecutiveness and diversity, which may not be sufficient to fully understand the content of the video...
[ { "created": "Mon, 20 Nov 2023 20:24:45 GMT", "version": "v1" } ]
2023-11-22
[ [ "Huang", "Jia-Hong", "" ], [ "Yang", "Chao-Han Huck", "" ], [ "Chen", "Pin-Yu", "" ], [ "Chen", "Min-Hung", "" ], [ "Worring", "Marcel", "" ] ]
The aim of video summarization is to shorten videos automatically while retaining the key information necessary to convey the overall story. Video summarization methods mainly rely on visual factors, such as visual consecutiveness and diversity, which may not be sufficient to fully understand the content of the video. ...
2403.17491
Xinyu Ning
Xinyu Ning and Yutong Zhao and Yitong Liu and Hongwen Yang
DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation
Accepted by LREC-COLING 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The method of training language models based on domain datasets has obtained significant achievements in the task of generating scientific paper abstracts. However, such models face problems of generalization and expensive training costs. The use of large language models (LLMs) to solve the task of generating paper a...
[ { "created": "Tue, 26 Mar 2024 08:47:23 GMT", "version": "v1" } ]
2024-03-27
[ [ "Ning", "Xinyu", "" ], [ "Zhao", "Yutong", "" ], [ "Liu", "Yitong", "" ], [ "Yang", "Hongwen", "" ] ]
The method of training language models based on domain datasets has obtained significant achievements in the task of generating scientific paper abstracts. However, such models face problems of generalization and expensive training costs. The use of large language models (LLMs) to solve the task of generating paper abs...
2010.09141
Zafeiria Moumoulidou
Zafeiria Moumoulidou, Andrew McGregor, and Alexandra Meliou
Diverse Data Selection under Fairness Constraints
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diversity is an important principle in data selection and summarization, facility location, and recommendation systems. Our work focuses on maximizing diversity in data selection, while offering fairness guarantees. In particular, we offer the first study that augments the Max-Min diversification objective with fairn...
[ { "created": "Sun, 18 Oct 2020 23:51:53 GMT", "version": "v1" } ]
2020-10-20
[ [ "Moumoulidou", "Zafeiria", "" ], [ "McGregor", "Andrew", "" ], [ "Meliou", "Alexandra", "" ] ]
Diversity is an important principle in data selection and summarization, facility location, and recommendation systems. Our work focuses on maximizing diversity in data selection, while offering fairness guarantees. In particular, we offer the first study that augments the Max-Min diversification objective with fairnes...
2102.02051
Zongbo Han
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
Trusted Multi-View Classification
Accepted by ICLR 2021
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Multi-view classification (MVC) generally focuses on improving classification accuracy by using information from different views, typically integrating them into a unified comprehensive representation for downstream tasks. However, it is also crucial to dynamically assess the quality of a view for different samples i...
[ { "created": "Wed, 3 Feb 2021 13:30:26 GMT", "version": "v1" } ]
2021-02-04
[ [ "Han", "Zongbo", "" ], [ "Zhang", "Changqing", "" ], [ "Fu", "Huazhu", "" ], [ "Zhou", "Joey Tianyi", "" ] ]
Multi-view classification (MVC) generally focuses on improving classification accuracy by using information from different views, typically integrating them into a unified comprehensive representation for downstream tasks. However, it is also crucial to dynamically assess the quality of a view for different samples in ...
2105.08306
Kiran Koshy Thekumparampil
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Sample Efficient Linear Meta-Learning by Alternating Minimization
null
null
null
null
cs.LG cs.AI math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meta-learning synthesizes and leverages the knowledge from a given set of tasks to rapidly learn new tasks using very little data. Meta-learning of linear regression tasks, where the regressors lie in a low-dimensional subspace, is an extensively-studied fundamental problem in this domain. However, existing results e...
[ { "created": "Tue, 18 May 2021 06:46:48 GMT", "version": "v1" } ]
2021-05-19
[ [ "Thekumparampil", "Kiran Koshy", "" ], [ "Jain", "Prateek", "" ], [ "Netrapalli", "Praneeth", "" ], [ "Oh", "Sewoong", "" ] ]
Meta-learning synthesizes and leverages the knowledge from a given set of tasks to rapidly learn new tasks using very little data. Meta-learning of linear regression tasks, where the regressors lie in a low-dimensional subspace, is an extensively-studied fundamental problem in this domain. However, existing results eit...
0910.3127
Jakob Nordstr\"om
Jakob Nordstr\"om, Alexander Razborov
On Minimal Unsatisfiability and Time-Space Trade-offs for k-DNF Resolution
null
null
null
null
cs.DM cs.CC math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of proving lower bounds on proof space in k-DNF resolution, [Ben-Sasson and Nordstrom 2009] introduced the concept of minimally unsatisfiable sets of k-DNF formulas and proved that a minimally unsatisfiable k-DNF set with m formulas can have at most O((mk)^(k+1)) variables. They also gave an example of...
[ { "created": "Fri, 16 Oct 2009 14:33:58 GMT", "version": "v1" }, { "created": "Fri, 16 Oct 2009 21:10:31 GMT", "version": "v2" } ]
2016-09-08
[ [ "Nordström", "Jakob", "" ], [ "Razborov", "Alexander", "" ] ]
In the context of proving lower bounds on proof space in k-DNF resolution, [Ben-Sasson and Nordstrom 2009] introduced the concept of minimally unsatisfiable sets of k-DNF formulas and proved that a minimally unsatisfiable k-DNF set with m formulas can have at most O((mk)^(k+1)) variables. They also gave an example of s...
1606.05696
Yang Shi
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
Tensor Contractions with Extended BLAS Kernels on CPU and GPU
null
null
10.1109/HiPC.2016.031
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tensor contractions constitute a key computational ingredient of numerical multi-linear algebra. However, as the order and dimension of tensors grow, the time and space complexities of tensor-based computations grow quickly. Existing approaches for tensor contractions typically involves explicit copy and transpose op...
[ { "created": "Fri, 17 Jun 2016 22:39:19 GMT", "version": "v1" }, { "created": "Sun, 2 Oct 2016 20:14:04 GMT", "version": "v2" } ]
2018-08-15
[ [ "Shi", "Yang", "" ], [ "Niranjan", "U. N.", "" ], [ "Anandkumar", "Animashree", "" ], [ "Cecka", "Cris", "" ] ]
Tensor contractions constitute a key computational ingredient of numerical multi-linear algebra. However, as the order and dimension of tensors grow, the time and space complexities of tensor-based computations grow quickly. Existing approaches for tensor contractions typically involves explicit copy and transpose oper...
2103.08095
Alessandro Lameiras Koerich
Mohammad Esmaeilpour and Patrick Cardinal and Alessandro Lameiras Koerich
Towards Robust Speech-to-Text Adversarial Attack
5 pages
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a novel adversarial algorithm for attacking the state-of-the-art speech-to-text systems, namely DeepSpeech, Kaldi, and Lingvo. Our approach is based on developing an extension for the conventional distortion condition of the adversarial optimization formulation using the Cram\`er integral probab...
[ { "created": "Mon, 15 Mar 2021 01:51:41 GMT", "version": "v1" } ]
2021-03-16
[ [ "Esmaeilpour", "Mohammad", "" ], [ "Cardinal", "Patrick", "" ], [ "Koerich", "Alessandro Lameiras", "" ] ]
This paper introduces a novel adversarial algorithm for attacking the state-of-the-art speech-to-text systems, namely DeepSpeech, Kaldi, and Lingvo. Our approach is based on developing an extension for the conventional distortion condition of the adversarial optimization formulation using the Cram\`er integral probabil...
1304.7282
Urmila Shrawankar Ms
Priti Saktel, Urmila Shrawankar
An Improved Approach for Word Ambiguity Removal
Pages:12 Tables: 07 Figures: 14, International Journal of Human Computer Interaction (IJHCI), Volume (3): Issue (3): 2012
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word ambiguity removal is a task of removing ambiguity from a word, i.e. correct sense of word is identified from ambiguous sentences. This paper describes a model that uses Part of Speech tagger and three categories for word sense disambiguation (WSD). Human Computer Interaction is very needful to improve interactio...
[ { "created": "Thu, 25 Apr 2013 10:25:41 GMT", "version": "v1" } ]
2013-04-30
[ [ "Saktel", "Priti", "" ], [ "Shrawankar", "Urmila", "" ] ]
Word ambiguity removal is a task of removing ambiguity from a word, i.e. correct sense of word is identified from ambiguous sentences. This paper describes a model that uses Part of Speech tagger and three categories for word sense disambiguation (WSD). Human Computer Interaction is very needful to improve interactions...
2207.08548
Manu Joseph
Manu Joseph, Harsh Raj
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features
15 pages + Reference & Appendix
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We propose a novel high-performance, interpretable, and parameter \& computationally efficient deep learning architecture for tabular data, Gated Adaptive Network for Deep Automated Learning of Features (GANDALF). GANDALF relies on a new tabular processing unit with a gating mechanism and in-built feature selection c...
[ { "created": "Mon, 18 Jul 2022 12:12:24 GMT", "version": "v1" }, { "created": "Tue, 19 Jul 2022 09:28:56 GMT", "version": "v2" }, { "created": "Wed, 17 Aug 2022 01:57:38 GMT", "version": "v3" }, { "created": "Fri, 27 Jan 2023 07:26:43 GMT", "version": "v4" }, { "c...
2024-01-11
[ [ "Joseph", "Manu", "" ], [ "Raj", "Harsh", "" ] ]
We propose a novel high-performance, interpretable, and parameter \& computationally efficient deep learning architecture for tabular data, Gated Adaptive Network for Deep Automated Learning of Features (GANDALF). GANDALF relies on a new tabular processing unit with a gating mechanism and in-built feature selection cal...
2112.05068
Rika Antonova
Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
null
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deformable object manipulation remains a challenging task in robotics research. Conventional techniques for parameter inference and state estimation typically rely on a precise definition of the state space and its dynamics. While this is appropriate for rigid objects and robot states, it is challenging to define the...
[ { "created": "Thu, 9 Dec 2021 17:50:54 GMT", "version": "v1" } ]
2021-12-10
[ [ "Antonova", "Rika", "" ], [ "Yang", "Jingyun", "" ], [ "Sundaresan", "Priya", "" ], [ "Fox", "Dieter", "" ], [ "Ramos", "Fabio", "" ], [ "Bohg", "Jeannette", "" ] ]
Deformable object manipulation remains a challenging task in robotics research. Conventional techniques for parameter inference and state estimation typically rely on a precise definition of the state space and its dynamics. While this is appropriate for rigid objects and robot states, it is challenging to define the s...
2209.13832
Tie Luo
Tao Wu, Tie Luo, Donald Wunsch
Learning Deep Representations via Contrastive Learning for Instance Retrieval
IEEE Symposium Series On Computational Intelligence (SSCI), December 2022. Accepted
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Instance-level Image Retrieval (IIR), or simply Instance Retrieval, deals with the problem of finding all the images within an dataset that contain a query instance (e.g. an object). This paper makes the first attempt that tackles this problem using instance-discrimination based contrastive learning (CL). While CL ha...
[ { "created": "Wed, 28 Sep 2022 04:36:34 GMT", "version": "v1" } ]
2022-09-29
[ [ "Wu", "Tao", "" ], [ "Luo", "Tie", "" ], [ "Wunsch", "Donald", "" ] ]
Instance-level Image Retrieval (IIR), or simply Instance Retrieval, deals with the problem of finding all the images within an dataset that contain a query instance (e.g. an object). This paper makes the first attempt that tackles this problem using instance-discrimination based contrastive learning (CL). While CL has ...
1707.07240
Bin Wang
Bin Wang and Zhijian Ou
Language modeling with Neural trans-dimensional random fields
6 pages, 2 figures and 3 tables, accepted to ASRU 2017
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Trans-dimensional random field language models (TRF LMs) have recently been introduced, where sentences are modeled as a collection of random fields. The TRF approach has been shown to have the advantages of being computationally more efficient in inference than LSTM LMs with close performance and being able to flexi...
[ { "created": "Sun, 23 Jul 2017 03:06:47 GMT", "version": "v1" }, { "created": "Tue, 25 Jul 2017 01:25:18 GMT", "version": "v2" }, { "created": "Tue, 19 Sep 2017 08:28:42 GMT", "version": "v3" } ]
2017-09-20
[ [ "Wang", "Bin", "" ], [ "Ou", "Zhijian", "" ] ]
Trans-dimensional random field language models (TRF LMs) have recently been introduced, where sentences are modeled as a collection of random fields. The TRF approach has been shown to have the advantages of being computationally more efficient in inference than LSTM LMs with close performance and being able to flexibl...
2003.07701
Gabriel Gon\c{c}alves
Gabriel F. N. Gon\c{c}alves, Assen Batchvarov, Yuyi Liu, Yuxin Liu, Lachlan Mason, Indranil Pan, Omar K. Matar
Data-driven surrogate modelling and benchmarking for process equipment
null
Data-Centric Engineering (2020), 1, E7
10.1017/dce.2020.8
null
cs.CE cs.LG physics.flu-dyn stat.ML
http://creativecommons.org/licenses/by/4.0/
In chemical process engineering, surrogate models of complex systems are often necessary for tasks of domain exploration, sensitivity analysis of the design parameters, and optimization. A suite of computational fluid dynamics (CFD) simulations geared toward chemical process equipment modeling has been developed and ...
[ { "created": "Fri, 13 Mar 2020 18:22:43 GMT", "version": "v1" }, { "created": "Tue, 8 Sep 2020 14:42:14 GMT", "version": "v2" } ]
2020-09-09
[ [ "Gonçalves", "Gabriel F. N.", "" ], [ "Batchvarov", "Assen", "" ], [ "Liu", "Yuyi", "" ], [ "Liu", "Yuxin", "" ], [ "Mason", "Lachlan", "" ], [ "Pan", "Indranil", "" ], [ "Matar", "Omar K.", "" ] ]
In chemical process engineering, surrogate models of complex systems are often necessary for tasks of domain exploration, sensitivity analysis of the design parameters, and optimization. A suite of computational fluid dynamics (CFD) simulations geared toward chemical process equipment modeling has been developed and va...
1707.07998
Peter Anderson
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
CVPR 2018 full oral, winner of the 2017 Visual Question Answering challenge
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained analysis and even multiple steps of reasoning. In this work, we propose a combined bottom-up and top-down attention mechanism that enables a...
[ { "created": "Tue, 25 Jul 2017 13:50:17 GMT", "version": "v1" }, { "created": "Thu, 10 Aug 2017 23:24:23 GMT", "version": "v2" }, { "created": "Wed, 14 Mar 2018 05:24:23 GMT", "version": "v3" } ]
2018-03-15
[ [ "Anderson", "Peter", "" ], [ "He", "Xiaodong", "" ], [ "Buehler", "Chris", "" ], [ "Teney", "Damien", "" ], [ "Johnson", "Mark", "" ], [ "Gould", "Stephen", "" ], [ "Zhang", "Lei", "" ] ]
Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained analysis and even multiple steps of reasoning. In this work, we propose a combined bottom-up and top-down attention mechanism that enables att...
2201.00129
Yuxing Wang
Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning
null
null
10.1016/j.ins.2022.10.134
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The integration of Reinforcement Learning (RL) and Evolutionary Algorithms (EAs) aims at simultaneously exploiting the sample efficiency as well as the diversity and robustness of the two paradigms. Recently, hybrid learning frameworks based on this principle have achieved great success in various challenging robot c...
[ { "created": "Sat, 1 Jan 2022 06:42:51 GMT", "version": "v1" }, { "created": "Wed, 27 Apr 2022 15:30:26 GMT", "version": "v2" } ]
2022-11-08
[ [ "Wang", "Yuxing", "" ], [ "Zhang", "Tiantian", "" ], [ "Chang", "Yongzhe", "" ], [ "Liang", "Bin", "" ], [ "Wang", "Xueqian", "" ], [ "Yuan", "Bo", "" ] ]
The integration of Reinforcement Learning (RL) and Evolutionary Algorithms (EAs) aims at simultaneously exploiting the sample efficiency as well as the diversity and robustness of the two paradigms. Recently, hybrid learning frameworks based on this principle have achieved great success in various challenging robot con...
2104.14294
Mathilde Caron
Mathilde Caron, Hugo Touvron, Ishan Misra, Herv\'e J\'egou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers
21 pages
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets). Beyond the fact that adapting self-supervised methods to this architecture works particularly well, we make the following observations: first, self-s...
[ { "created": "Thu, 29 Apr 2021 12:28:51 GMT", "version": "v1" }, { "created": "Mon, 24 May 2021 17:49:18 GMT", "version": "v2" } ]
2021-05-25
[ [ "Caron", "Mathilde", "" ], [ "Touvron", "Hugo", "" ], [ "Misra", "Ishan", "" ], [ "Jégou", "Hervé", "" ], [ "Mairal", "Julien", "" ], [ "Bojanowski", "Piotr", "" ], [ "Joulin", "Armand", "" ] ]
In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets). Beyond the fact that adapting self-supervised methods to this architecture works particularly well, we make the following observations: first, self-sup...
2306.17750
Kavosh Asadi
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective
Accepted at Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the convergence behavior of the celebrated temporal-difference (TD) learning algorithm. By looking at the algorithm through the lens of optimization, we first argue that TD can be viewed as an iterative optimization algorithm where the function to be minimized changes per iteration. By carefully investigatin...
[ { "created": "Fri, 30 Jun 2023 16:01:04 GMT", "version": "v1" }, { "created": "Wed, 8 Nov 2023 21:20:39 GMT", "version": "v2" } ]
2023-11-10
[ [ "Asadi", "Kavosh", "" ], [ "Sabach", "Shoham", "" ], [ "Liu", "Yao", "" ], [ "Gottesman", "Omer", "" ], [ "Fakoor", "Rasool", "" ] ]
We study the convergence behavior of the celebrated temporal-difference (TD) learning algorithm. By looking at the algorithm through the lens of optimization, we first argue that TD can be viewed as an iterative optimization algorithm where the function to be minimized changes per iteration. By carefully investigating ...
1109.1604
Aly El Gamal
Aly El Gamal, V. Sreekanth Annapureddy, Venugopal V. Veeravalli
Degrees of Freedom (DoF) of Locally Connected Interference Channels with Coordinated Multi-Point (CoMP) Transmission
In Proc. IEEE International Conference on Communications (ICC), Ottawa, Jun. 2012
null
10.1109/ICC.2012.6364077
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The degrees of freedom (DoF) available for communication provides an analytically tractable way to characterize the information-theoretic capacity of interference channels. In this paper, the DoF of a K-user interference channel is studied under the assumption that the transmitters can cooperate via coordinated multi...
[ { "created": "Wed, 7 Sep 2011 23:46:19 GMT", "version": "v1" }, { "created": "Tue, 27 Sep 2011 20:06:44 GMT", "version": "v2" }, { "created": "Tue, 21 Feb 2012 15:10:31 GMT", "version": "v3" } ]
2016-11-15
[ [ "Gamal", "Aly El", "" ], [ "Annapureddy", "V. Sreekanth", "" ], [ "Veeravalli", "Venugopal V.", "" ] ]
The degrees of freedom (DoF) available for communication provides an analytically tractable way to characterize the information-theoretic capacity of interference channels. In this paper, the DoF of a K-user interference channel is studied under the assumption that the transmitters can cooperate via coordinated multi-p...
1701.07290
Giuseppe Santucci
Enrico Bertini and Giuseppe Santucci
Modelling internet based applications for designing multi-device adaptive interfaces
Keywords: adaptive interfaces, multi-device and multi-channel applications
Proceedings of the Workshop on Advanced Visual Interfaces AVI 2004, Pages 252-256 Working Conference on Advanced Visual Interfaces, AVI 2004; Gallipoli; Italy; 25 May 2004 through 28 May 2004
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The wide spread of mobile devices in the consumer market has posed a number of new issues in the design of internet applications and their user interfaces. In particular, applications need to adapt their interaction modalities to different portable devices. In this paper we address the problem of defining models and ...
[ { "created": "Wed, 25 Jan 2017 12:55:45 GMT", "version": "v1" } ]
2017-01-26
[ [ "Bertini", "Enrico", "" ], [ "Santucci", "Giuseppe", "" ] ]
The wide spread of mobile devices in the consumer market has posed a number of new issues in the design of internet applications and their user interfaces. In particular, applications need to adapt their interaction modalities to different portable devices. In this paper we address the problem of defining models and te...
2310.06911
Ludovic Noels
Van-Dung Nguyen, Ling Wu, Fran\c{c}oise Remacle, Ludovic Noels
A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems
This is an updated version following reviewing process. The code and raw/processed data required to reproduce these findings is available on http://dx.doi.org/10.5281/zenodo.10451584 under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence
European Journal of Mechanics - A/Solids, Volume 105, 2024, 105254
10.1016/j.euromechsol.2024.105254
null
cs.CE
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose a framework to solve non-linear and history-dependent mechanical problems based on a hybrid classical computer -- quantum annealer approach. Quantum Computers are anticipated to solve particular operations exponentially faster. The available possible operations are however not as versatile as with a classi...
[ { "created": "Tue, 10 Oct 2023 18:09:08 GMT", "version": "v1" }, { "created": "Fri, 5 Jan 2024 13:39:40 GMT", "version": "v2" } ]
2024-02-20
[ [ "Nguyen", "Van-Dung", "" ], [ "Wu", "Ling", "" ], [ "Remacle", "Françoise", "" ], [ "Noels", "Ludovic", "" ] ]
We propose a framework to solve non-linear and history-dependent mechanical problems based on a hybrid classical computer -- quantum annealer approach. Quantum Computers are anticipated to solve particular operations exponentially faster. The available possible operations are however not as versatile as with a classica...
1709.01189
Fan Yang
Fan Yang, Arjun Mukherjee, Eduard Dragut
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
EMNLP 2017, 11 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical cues and therefore believe the news as true news. We observe that satirical cues are often reflected in certain paragraphs rather than the ...
[ { "created": "Mon, 4 Sep 2017 23:06:36 GMT", "version": "v1" } ]
2017-09-06
[ [ "Yang", "Fan", "" ], [ "Mukherjee", "Arjun", "" ], [ "Dragut", "Eduard", "" ] ]
Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical cues and therefore believe the news as true news. We observe that satirical cues are often reflected in certain paragraphs rather than the wh...
2301.12569
Zahra Zahedi
Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati
A Mental Model Based Theory of Trust
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Handling trust is one of the core requirements for facilitating effective interaction between the human and the AI agent. Thus, any decision-making framework designed to work with humans must possess the ability to estimate and leverage human trust. In this paper, we propose a mental model based theory of trust that ...
[ { "created": "Sun, 29 Jan 2023 22:36:37 GMT", "version": "v1" } ]
2023-01-31
[ [ "Zahedi", "Zahra", "" ], [ "Sreedharan", "Sarath", "" ], [ "Kambhampati", "Subbarao", "" ] ]
Handling trust is one of the core requirements for facilitating effective interaction between the human and the AI agent. Thus, any decision-making framework designed to work with humans must possess the ability to estimate and leverage human trust. In this paper, we propose a mental model based theory of trust that no...
2304.05659
Jiahao Wang
Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer
8 pages, accepted by CVPR2023
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies how to keep a vision backbone effective while removing token mixers in its basic building blocks. Token mixers, as self-attention for vision transformers (ViTs), are intended to perform information communication between different spatial tokens but suffer from considerable computational cost and la...
[ { "created": "Wed, 12 Apr 2023 07:34:13 GMT", "version": "v1" } ]
2023-04-13
[ [ "Wang", "Jiahao", "" ], [ "Zhang", "Songyang", "" ], [ "Liu", "Yong", "" ], [ "Wu", "Taiqiang", "" ], [ "Yang", "Yujiu", "" ], [ "Liu", "Xihui", "" ], [ "Chen", "Kai", "" ], [ "Luo", "Ping", ...
This paper studies how to keep a vision backbone effective while removing token mixers in its basic building blocks. Token mixers, as self-attention for vision transformers (ViTs), are intended to perform information communication between different spatial tokens but suffer from considerable computational cost and late...
1002.0574
Aubin Lecointre
Aubin Lecointre (LAAS), Daniela Dragomirescu (LAAS), Robert Plana (LAAS)
Channel Capacity Limitations versus Hardware Implementation for UWB Impulse Radio Communications
null
Romanian Journal of Information Science and Technology (2009) 339-353
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Starting from the Shannon channel capacity, we propose an IR-UWB channel capacity based on the delay spread for multipath time variant channels. This IR-UWB channel capacity is obtained from the no ISI (Inter Symbol Interference) assumption and for binary modulations. The impact of the kind of implementation is consi...
[ { "created": "Tue, 2 Feb 2010 20:06:12 GMT", "version": "v1" } ]
2010-02-03
[ [ "Lecointre", "Aubin", "", "LAAS" ], [ "Dragomirescu", "Daniela", "", "LAAS" ], [ "Plana", "Robert", "", "LAAS" ] ]
Starting from the Shannon channel capacity, we propose an IR-UWB channel capacity based on the delay spread for multipath time variant channels. This IR-UWB channel capacity is obtained from the no ISI (Inter Symbol Interference) assumption and for binary modulations. The impact of the kind of implementation is conside...
2310.10928
Navin Kumar
Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man, Roy Ka-Wei Lee, Koustuv Saha, Nimay Parekh, Frederick L. Altice, Lam Yin Cheung, Munmun De Choudhury and Navin Kumar
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care
null
null
null
null
cs.HC cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25% of diagnoses made by PHC physicians are inaccurate. Many other barriers also hinder depression detection and treatment in PHC. Artificia...
[ { "created": "Tue, 17 Oct 2023 01:55:49 GMT", "version": "v1" } ]
2023-10-18
[ [ "Levinson", "Adam Valen", "" ], [ "Goyal", "Abhay", "" ], [ "Man", "Roger Ho Chun", "" ], [ "Lee", "Roy Ka-Wei", "" ], [ "Saha", "Koustuv", "" ], [ "Parekh", "Nimay", "" ], [ "Altice", "Frederick L.", "" ...
Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25% of diagnoses made by PHC physicians are inaccurate. Many other barriers also hinder depression detection and treatment in PHC. Artificial ...
2309.07668
Ankit Dhiman
Ankit Dhiman and R Srinath and Srinjay Sarkar and Lokesh R Boregowda and R Venkatesh Babu
CoRF : Colorizing Radiance Fields using Knowledge Distillation
AI3DCC @ ICCV 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Neural radiance field (NeRF) based methods enable high-quality novel-view synthesis for multi-view images. This work presents a method for synthesizing colorized novel views from input grey-scale multi-view images. When we apply image or video-based colorization methods on the generated grey-scale novel views, we obs...
[ { "created": "Thu, 14 Sep 2023 12:30:48 GMT", "version": "v1" } ]
2023-09-15
[ [ "Dhiman", "Ankit", "" ], [ "Srinath", "R", "" ], [ "Sarkar", "Srinjay", "" ], [ "Boregowda", "Lokesh R", "" ], [ "Babu", "R Venkatesh", "" ] ]
Neural radiance field (NeRF) based methods enable high-quality novel-view synthesis for multi-view images. This work presents a method for synthesizing colorized novel views from input grey-scale multi-view images. When we apply image or video-based colorization methods on the generated grey-scale novel views, we obser...
1901.05754
Fernando Mac\'ias
Fernando Mac\'ias, Uwe Wolter, Adrian Rutle, Francisco Dur\'an, Roberto Rodriguez-Echeverria
Multilevel Coupled Model Transformations for Precise and Reusable Definition of Model Behaviour
Journal of Logical and Algebraic Methods in Programming. Available online 11 January 2019. In Press, Accepted Manuscript
null
10.1016/j.jlamp.2018.12.005
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of Domain-Specific Languages (DSLs) is a promising field for the development of tools tailored to specific problem spaces, effectively diminishing the complexity of hand-made software. With the goal of making models as precise, simple and reusable as possible, we augment DSLs with concepts from multilevel mod...
[ { "created": "Thu, 17 Jan 2019 12:25:47 GMT", "version": "v1" } ]
2019-01-18
[ [ "Macías", "Fernando", "" ], [ "Wolter", "Uwe", "" ], [ "Rutle", "Adrian", "" ], [ "Durán", "Francisco", "" ], [ "Rodriguez-Echeverria", "Roberto", "" ] ]
The use of Domain-Specific Languages (DSLs) is a promising field for the development of tools tailored to specific problem spaces, effectively diminishing the complexity of hand-made software. With the goal of making models as precise, simple and reusable as possible, we augment DSLs with concepts from multilevel model...
2407.07719
Baptiste CHATELIER
Baptiste Chatelier (IETR, MERCE-France, INSA Rennes), Vincent Corlay (MERCE-France), Matthieu Crussi\`ere (IETR, INSA Rennes), Luc Le Magoarou (IETR, INSA Rennes)
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
null
null
null
null
cs.IT cs.AI cs.LG eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Years of study of the propagation channel showed a close relation between a location and the associated communication channel response. The use of a neural network to learn the location-to-channel mapping can therefore be envisioned. The Implicit Neural Representation (INR) literature showed that classical neural arc...
[ { "created": "Mon, 17 Jun 2024 13:09:25 GMT", "version": "v1" }, { "created": "Mon, 15 Jul 2024 06:54:53 GMT", "version": "v2" } ]
2024-07-16
[ [ "Chatelier", "Baptiste", "", "IETR, MERCE-France, INSA Rennes" ], [ "Corlay", "Vincent", "", "MERCE-France" ], [ "Crussière", "Matthieu", "", "IETR, INSA Rennes" ], [ "Magoarou", "Luc Le", "", "IETR, INSA Rennes" ] ]
Years of study of the propagation channel showed a close relation between a location and the associated communication channel response. The use of a neural network to learn the location-to-channel mapping can therefore be envisioned. The Implicit Neural Representation (INR) literature showed that classical neural archi...
2306.06742
Carlos Baquero
Ana Rodrigues, Ariel Shtul, Carlos Baquero, Paulo S\'ergio Almeida
Time-limited Bloom Filter
This version extends the 4-page version published in ACM SAC 2023 and adds a section on Experimental Evaluation
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A Bloom Filter is a probabilistic data structure designed to check, rapidly and memory-efficiently, whether an element is present in a set. It has been vastly used in various computing areas and several variants, allowing deletions, dynamic sets and working with sliding windows, have surfaced over the years. When sum...
[ { "created": "Sun, 11 Jun 2023 18:33:45 GMT", "version": "v1" } ]
2023-06-13
[ [ "Rodrigues", "Ana", "" ], [ "Shtul", "Ariel", "" ], [ "Baquero", "Carlos", "" ], [ "Almeida", "Paulo Sérgio", "" ] ]
A Bloom Filter is a probabilistic data structure designed to check, rapidly and memory-efficiently, whether an element is present in a set. It has been vastly used in various computing areas and several variants, allowing deletions, dynamic sets and working with sliding windows, have surfaced over the years. When summa...
1709.00029
Patrick Helber
Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we address the challenge of land use and land cover classification using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely accessible provided in the Earth observation program Copernicus. We present a novel dataset based on Sentinel-2 satellite images covering 13 spectr...
[ { "created": "Thu, 31 Aug 2017 18:19:10 GMT", "version": "v1" }, { "created": "Fri, 1 Feb 2019 09:51:18 GMT", "version": "v2" } ]
2019-02-04
[ [ "Helber", "Patrick", "" ], [ "Bischke", "Benjamin", "" ], [ "Dengel", "Andreas", "" ], [ "Borth", "Damian", "" ] ]
In this paper, we address the challenge of land use and land cover classification using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely accessible provided in the Earth observation program Copernicus. We present a novel dataset based on Sentinel-2 satellite images covering 13 spectral...
1801.06542
Fengrong Zhang
Sihem Mesnager, Fengrong Zhang, Chunming Tang, Yong Zhou
Further study on the maximum number of bent components of vectorial functions
17 pages
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 2018, Pott, at al. have studied in [IEEE Transactions on Information Theory. Volume: 64, Issue: 1, 2018] the maximum number of bent components of vectorial function. They have presented serval nice results and suggested several open problems in this context. This paper is in the continuation of their study in whic...
[ { "created": "Sun, 21 Jan 2018 11:58:09 GMT", "version": "v1" } ]
2018-01-23
[ [ "Mesnager", "Sihem", "" ], [ "Zhang", "Fengrong", "" ], [ "Tang", "Chunming", "" ], [ "Zhou", "Yong", "" ] ]
In 2018, Pott, at al. have studied in [IEEE Transactions on Information Theory. Volume: 64, Issue: 1, 2018] the maximum number of bent components of vectorial function. They have presented serval nice results and suggested several open problems in this context. This paper is in the continuation of their study in which ...
1509.00268
Michael Kallitsis
Michael Kallitsis, Stilian Stoev, Shrijita Bhattacharya, George Michailidis
AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis and Forensics of Multi-gigabit Streams
null
null
null
null
cs.NI math.PR math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet, as a global system of interconnected networks, carries an extensive array of information resources and services. Key requirements include good quality-of-service and protection of the infrastructure from nefarious activity (e.g. distributed denial of service--DDoS--attacks). Network monitoring is essent...
[ { "created": "Tue, 1 Sep 2015 13:00:10 GMT", "version": "v1" }, { "created": "Wed, 27 Jan 2016 13:32:51 GMT", "version": "v2" } ]
2016-08-02
[ [ "Kallitsis", "Michael", "" ], [ "Stoev", "Stilian", "" ], [ "Bhattacharya", "Shrijita", "" ], [ "Michailidis", "George", "" ] ]
The Internet, as a global system of interconnected networks, carries an extensive array of information resources and services. Key requirements include good quality-of-service and protection of the infrastructure from nefarious activity (e.g. distributed denial of service--DDoS--attacks). Network monitoring is essentia...
1404.0846
EPTCS
Fenglin Han, Jan Olaf Blech, Peter Herrmann, Heinz Schmidt
Towards Verifying Safety Properties of Real-Time Probabilistic Systems
In Proceedings FESCA 2014, arXiv:1404.0436
EPTCS 147, 2014, pp. 1-15
10.4204/EPTCS.147.1
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Using probabilities in the formal-methods-based development of safety-critical software has quickened interests in academia and industry. We address this area by our model-driven engineering method for reactive systems SPACE and its tool-set Reactive Blocks that provide an extension to support the modeling and verifi...
[ { "created": "Thu, 3 Apr 2014 10:43:37 GMT", "version": "v1" } ]
2014-04-04
[ [ "Han", "Fenglin", "" ], [ "Blech", "Jan Olaf", "" ], [ "Herrmann", "Peter", "" ], [ "Schmidt", "Heinz", "" ] ]
Using probabilities in the formal-methods-based development of safety-critical software has quickened interests in academia and industry. We address this area by our model-driven engineering method for reactive systems SPACE and its tool-set Reactive Blocks that provide an extension to support the modeling and verifica...
1709.02291
Monika Doerfler
Monika Doerfler, Thomas Grill, Roswitha Bammer, Arthur Flexer
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?
Completely revised version; 21 pages, 4 figures
null
null
null
cs.LG cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When convolutional neural networks are used to tackle learning problems based on music or, more generally, time series data, raw one-dimensional data are commonly pre-processed to obtain spectrogram or mel-spectrogram coefficients, which are then used as input to the actual neural network. In this contribution, we in...
[ { "created": "Thu, 7 Sep 2017 14:51:37 GMT", "version": "v1" }, { "created": "Thu, 14 Dec 2017 11:25:18 GMT", "version": "v2" }, { "created": "Wed, 19 Sep 2018 14:30:19 GMT", "version": "v3" } ]
2018-09-20
[ [ "Doerfler", "Monika", "" ], [ "Grill", "Thomas", "" ], [ "Bammer", "Roswitha", "" ], [ "Flexer", "Arthur", "" ] ]
When convolutional neural networks are used to tackle learning problems based on music or, more generally, time series data, raw one-dimensional data are commonly pre-processed to obtain spectrogram or mel-spectrogram coefficients, which are then used as input to the actual neural network. In this contribution, we inve...
2007.15176
Sujoy Paul
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
Domain Adaptive Semantic Segmentation Using Weak Labels
ECCV 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning semantic segmentation models requires a huge amount of pixel-wise labeling. However, labeled data may only be available abundantly in a domain different from the desired target domain, which only has minimal or no annotations. In this work, we propose a novel framework for domain adaptation in semantic segme...
[ { "created": "Thu, 30 Jul 2020 01:33:57 GMT", "version": "v1" }, { "created": "Wed, 12 Aug 2020 10:05:48 GMT", "version": "v2" } ]
2020-08-13
[ [ "Paul", "Sujoy", "" ], [ "Tsai", "Yi-Hsuan", "" ], [ "Schulter", "Samuel", "" ], [ "Roy-Chowdhury", "Amit K.", "" ], [ "Chandraker", "Manmohan", "" ] ]
Learning semantic segmentation models requires a huge amount of pixel-wise labeling. However, labeled data may only be available abundantly in a domain different from the desired target domain, which only has minimal or no annotations. In this work, we propose a novel framework for domain adaptation in semantic segment...
1806.04765
Adon Phillips
Adon Phillips, Iris Teo, Jochen Lang
Fully Convolutional Network for Melanoma Diagnostics
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work seeks to determine how modern machine learning techniques may be applied to the previously unexplored topic of melanoma diagnostics using digital pathology. We curated a new dataset of 50 patient cases of cutaneous melanoma using digital pathology. We provide gold standard annotations for three tissue types...
[ { "created": "Tue, 12 Jun 2018 20:53:55 GMT", "version": "v1" } ]
2018-06-14
[ [ "Phillips", "Adon", "" ], [ "Teo", "Iris", "" ], [ "Lang", "Jochen", "" ] ]
This work seeks to determine how modern machine learning techniques may be applied to the previously unexplored topic of melanoma diagnostics using digital pathology. We curated a new dataset of 50 patient cases of cutaneous melanoma using digital pathology. We provide gold standard annotations for three tissue types (...
2402.02401
Jincao Yao
Jincao Yao (1 and 2 and 3 and 4 and 5 and 6), Yunpeng Wang (7), Zhikai Lei (8), Kai Wang (9), Xiaoxian Li (10) Jianhua Zhou (10), Xiang Hao (7), Jiafei Shen (1 and 2), Zhenping Wang (9), Rongrong Ru (11), Yaqing Chen (11), Yahan Zhou (6), Chen Chen (1 and 2), Yanming Zhang (12 and 13), Ping Liang (14), Dong Xu ...
AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture of ChatGPT, could assist radiologists in assessing the risk of thyroid nodules through semantic-level human-machine interaction. A dataset...
[ { "created": "Sun, 4 Feb 2024 08:24:13 GMT", "version": "v1" } ]
2024-02-07
[ [ "Yao", "Jincao", "", "1 and 2 and 3 and 4 and 5 and 6" ], [ "Wang", "Yunpeng", "", "1 and 2" ], [ "Lei", "Zhikai", "", "1 and 2" ], [ "Wang", "Kai", "", "1 and 2" ], [ "Li", "Xiaoxian", "", "1 and 2" ], [ "Zhou...
An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture of ChatGPT, could assist radiologists in assessing the risk of thyroid nodules through semantic-level human-machine interaction. A dataset c...
2212.02758
Yutong Dai
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Accepted for presentation at AAAI 2023. This is a technical report version that contains an appendix with additional details about experiments and proofs for technical results. Grant information is also added
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data heterogeneity across clients in federated learning (FL) settings is a widely acknowledged challenge. In response, personalized federated learning (PFL) emerged as a framework to curate local models for clients' tasks. In PFL, a common strategy is to develop local and global models jointly - the global model (for...
[ { "created": "Tue, 6 Dec 2022 05:15:38 GMT", "version": "v1" }, { "created": "Tue, 26 Dec 2023 04:56:33 GMT", "version": "v2" } ]
2023-12-27
[ [ "Dai", "Yutong", "" ], [ "Chen", "Zeyuan", "" ], [ "Li", "Junnan", "" ], [ "Heinecke", "Shelby", "" ], [ "Sun", "Lichao", "" ], [ "Xu", "Ran", "" ] ]
Data heterogeneity across clients in federated learning (FL) settings is a widely acknowledged challenge. In response, personalized federated learning (PFL) emerged as a framework to curate local models for clients' tasks. In PFL, a common strategy is to develop local and global models jointly - the global model (for g...
2212.10818
Yui Sudo
Yui Sudo, Muhammad Shakeel, Brian Yan, Jiatong Shi, Shinji Watanabe
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders
Accepted by INTERRSPEECH2023
null
null
null
cs.SD cs.CL eess.AS
http://creativecommons.org/licenses/by/4.0/
The network architecture of end-to-end (E2E) automatic speech recognition (ASR) can be classified into several models, including connectionist temporal classification (CTC), recurrent neural network transducer (RNN-T), attention mechanism, and non-autoregressive mask-predict models. Since each of these network archit...
[ { "created": "Wed, 21 Dec 2022 07:15:59 GMT", "version": "v1" }, { "created": "Mon, 29 May 2023 23:16:56 GMT", "version": "v2" } ]
2023-05-31
[ [ "Sudo", "Yui", "" ], [ "Shakeel", "Muhammad", "" ], [ "Yan", "Brian", "" ], [ "Shi", "Jiatong", "" ], [ "Watanabe", "Shinji", "" ] ]
The network architecture of end-to-end (E2E) automatic speech recognition (ASR) can be classified into several models, including connectionist temporal classification (CTC), recurrent neural network transducer (RNN-T), attention mechanism, and non-autoregressive mask-predict models. Since each of these network architec...
2306.05911
Deng Yu
Deng Yu, Chufeng Xiao, Manfred Lau, and Hongbo Fu
Sketch2Stress: Sketching with Structural Stress Awareness
Accepted by IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the process of product design and digital fabrication, the structural analysis of a designed prototype is a fundamental and essential step. However, such a step is usually invisible or inaccessible to designers at the early sketching phase. This limits the user's ability to consider a shape's physical properties a...
[ { "created": "Fri, 9 Jun 2023 14:05:41 GMT", "version": "v1" }, { "created": "Mon, 11 Dec 2023 06:51:51 GMT", "version": "v2" } ]
2023-12-12
[ [ "Yu", "Deng", "" ], [ "Xiao", "Chufeng", "" ], [ "Lau", "Manfred", "" ], [ "Fu", "Hongbo", "" ] ]
In the process of product design and digital fabrication, the structural analysis of a designed prototype is a fundamental and essential step. However, such a step is usually invisible or inaccessible to designers at the early sketching phase. This limits the user's ability to consider a shape's physical properties and...
1505.03776
David Garcia
Raquel Alvarez, David Garcia, Yamir Moreno and Frank Schweitzer
Sentiment cascades in the 15M movement
EPJ Data Science vol 4 (2015) (forthcoming)
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent grassroots movements have suggested that online social networks might play a key role in their organization, as adherents have a fast, many-to-many, communication channel to help coordinate their mobilization. The structure and dynamics of the networks constructed from the digital traces of protesters have bee...
[ { "created": "Thu, 14 May 2015 16:08:11 GMT", "version": "v1" } ]
2015-05-15
[ [ "Alvarez", "Raquel", "" ], [ "Garcia", "David", "" ], [ "Moreno", "Yamir", "" ], [ "Schweitzer", "Frank", "" ] ]
Recent grassroots movements have suggested that online social networks might play a key role in their organization, as adherents have a fast, many-to-many, communication channel to help coordinate their mobilization. The structure and dynamics of the networks constructed from the digital traces of protesters have been ...
2306.00800
Juan A. Rodriguez
Juan A Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez
FigGen: Text to Scientific Figure Generation
Published at ICLR 2023 as a Tiny Paper
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
The generative modeling landscape has experienced tremendous growth in recent years, particularly in generating natural images and art. Recent techniques have shown impressive potential in creating complex visual compositions while delivering impressive realism and quality. However, state-of-the-art methods have been...
[ { "created": "Thu, 1 Jun 2023 15:28:41 GMT", "version": "v1" }, { "created": "Wed, 21 Jun 2023 13:55:08 GMT", "version": "v2" }, { "created": "Sun, 17 Dec 2023 08:24:37 GMT", "version": "v3" } ]
2023-12-19
[ [ "Rodriguez", "Juan A", "" ], [ "Vazquez", "David", "" ], [ "Laradji", "Issam", "" ], [ "Pedersoli", "Marco", "" ], [ "Rodriguez", "Pau", "" ] ]
The generative modeling landscape has experienced tremendous growth in recent years, particularly in generating natural images and art. Recent techniques have shown impressive potential in creating complex visual compositions while delivering impressive realism and quality. However, state-of-the-art methods have been f...
1908.10033
Shantanu Sharma
Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian, Mamadou H. Diallo, Ardalan Amiri Sani
IoT Notary: Sensor Data Attestation in Smart Environment
Accepted in IEEE International Symposium on Network Computing and Applications (NCA), 2019
null
null
null
cs.CR cs.DB cs.DC cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems. There are several reasons why such a trust is misplaced --- IoT systems may violate the rules deliberately or IoT devices may transfer user data to a malicious third-party due to cyberatta...
[ { "created": "Tue, 27 Aug 2019 05:10:04 GMT", "version": "v1" } ]
2019-08-28
[ [ "Panwar", "Nisha", "" ], [ "Sharma", "Shantanu", "" ], [ "Wang", "Guoxi", "" ], [ "Mehrotra", "Sharad", "" ], [ "Venkatasubramanian", "Nalini", "" ], [ "Diallo", "Mamadou H.", "" ], [ "Sani", "Ardalan Amiri", ...
Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems. There are several reasons why such a trust is misplaced --- IoT systems may violate the rules deliberately or IoT devices may transfer user data to a malicious third-party due to cyberattack...
1905.01833
Yuqun Zhang
Mingyuan Wu, Husheng Zhou, Lingming Zhang, Cong Liu, Yuqun Zhang
Characterizing and Detecting CUDA Program Bugs
12 pages, 8 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While CUDA has become a major parallel computing platform and programming model for general-purpose GPU computing, CUDA-induced bug patterns have not yet been well explored. In this paper, we conduct the first empirical study to reveal important categories of CUDA program bug patterns based on 319 bugs identified wit...
[ { "created": "Mon, 6 May 2019 06:12:58 GMT", "version": "v1" }, { "created": "Sat, 11 May 2019 10:35:34 GMT", "version": "v2" }, { "created": "Wed, 29 May 2019 11:35:23 GMT", "version": "v3" } ]
2019-05-30
[ [ "Wu", "Mingyuan", "" ], [ "Zhou", "Husheng", "" ], [ "Zhang", "Lingming", "" ], [ "Liu", "Cong", "" ], [ "Zhang", "Yuqun", "" ] ]
While CUDA has become a major parallel computing platform and programming model for general-purpose GPU computing, CUDA-induced bug patterns have not yet been well explored. In this paper, we conduct the first empirical study to reveal important categories of CUDA program bug patterns based on 319 bugs identified withi...
2111.11745
Yan Wang
Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang
Intriguing Findings of Frequency Selection for Image Deblurring
AAAI 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image. Recent progress on image deblurring always designs end-to-end architectures and aims at learning the difference between blurry and sharp image pairs from pixel-level, which inevitably ov...
[ { "created": "Tue, 23 Nov 2021 09:40:40 GMT", "version": "v1" }, { "created": "Tue, 29 Nov 2022 10:15:57 GMT", "version": "v2" } ]
2022-11-30
[ [ "Mao", "Xintian", "" ], [ "Liu", "Yiming", "" ], [ "Liu", "Fengze", "" ], [ "Li", "Qingli", "" ], [ "Shen", "Wei", "" ], [ "Wang", "Yan", "" ] ]
Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image. Recent progress on image deblurring always designs end-to-end architectures and aims at learning the difference between blurry and sharp image pairs from pixel-level, which inevitably over...
0705.1384
Navin Kashyap
Navin Kashyap
Matroid Pathwidth and Code Trellis Complexity
Submitted to SIAM Journal on Discrete Mathematics; 18 pages, 6 figures
null
null
null
cs.DM cs.IT math.IT
null
We relate the notion of matroid pathwidth to the minimum trellis state-complexity (which we term trellis-width) of a linear code, and to the pathwidth of a graph. By reducing from the problem of computing the pathwidth of a graph, we show that the problem of determining the pathwidth of a representable matroid is NP-...
[ { "created": "Thu, 10 May 2007 03:00:54 GMT", "version": "v1" } ]
2007-07-13
[ [ "Kashyap", "Navin", "" ] ]
We relate the notion of matroid pathwidth to the minimum trellis state-complexity (which we term trellis-width) of a linear code, and to the pathwidth of a graph. By reducing from the problem of computing the pathwidth of a graph, we show that the problem of determining the pathwidth of a representable matroid is NP-ha...
1803.07139
No\'e Casas
Marta R. Costa-juss\`a, Noe Casas, Maite Melero
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach
Full workshop proceedings can be found at https://multilingualbio.bsc.es/wp-content/uploads/2018/03/LREC-2018-PROCEEDINGS-MultilingualBIO.pdf
Proceedings of workshop "MultilingualBIO: Multilingual Biomedical Text Processing" of the 11th Edition of the Language Resources and Evaluation Conference, 2018
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes the methodology followed to build a neural machine translation system in the biomedical domain for the English-Catalan language pair. This task can be considered a low-resourced task from the point of view of the domain and the language pair. To face this task, this paper reports experiments on a...
[ { "created": "Mon, 19 Mar 2018 19:48:48 GMT", "version": "v1" }, { "created": "Thu, 26 Apr 2018 15:22:04 GMT", "version": "v2" } ]
2018-04-27
[ [ "Costa-jussà", "Marta R.", "" ], [ "Casas", "Noe", "" ], [ "Melero", "Maite", "" ] ]
This paper describes the methodology followed to build a neural machine translation system in the biomedical domain for the English-Catalan language pair. This task can be considered a low-resourced task from the point of view of the domain and the language pair. To face this task, this paper reports experiments on a c...
1509.07178
Yu Wang
Yu Wang and Jianbo Yuan and Jiebo Luo
America Tweets China: A Fine-Grained Analysis of the State and Individual Characteristics Regarding Attitudes towards China
8 pages, 5 figures and 4 tables, IEEE BigData 2015
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The U.S.-China relationship is arguably the most important bilateral relationship in the 21st century. Typically it is measured through opinion polls, for example, by Gallup and Pew Institute. In this paper, we propose a new method to measure U.S.-China relations using data from Twitter, one of the most popular socia...
[ { "created": "Wed, 23 Sep 2015 23:11:46 GMT", "version": "v1" } ]
2015-09-25
[ [ "Wang", "Yu", "" ], [ "Yuan", "Jianbo", "" ], [ "Luo", "Jiebo", "" ] ]
The U.S.-China relationship is arguably the most important bilateral relationship in the 21st century. Typically it is measured through opinion polls, for example, by Gallup and Pew Institute. In this paper, we propose a new method to measure U.S.-China relations using data from Twitter, one of the most popular social ...
2407.10366
Yitian Zhang
Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu
Accessing Vision Foundation Models at ImageNet-level Costs
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision foundation models are renowned for their generalization ability due to massive training data. Nevertheless, they demand tremendous training resources, and the training data is often inaccessible, e.g., CLIP, DINOv2, posing great challenges to developing derivatives that could advance research in this field. In...
[ { "created": "Mon, 15 Jul 2024 00:13:53 GMT", "version": "v1" } ]
2024-07-16
[ [ "Zhang", "Yitian", "" ], [ "Ma", "Xu", "" ], [ "Bai", "Yue", "" ], [ "Wang", "Huan", "" ], [ "Fu", "Yun", "" ] ]
Vision foundation models are renowned for their generalization ability due to massive training data. Nevertheless, they demand tremendous training resources, and the training data is often inaccessible, e.g., CLIP, DINOv2, posing great challenges to developing derivatives that could advance research in this field. In t...