id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
2311.09498
Md Mobasshir Rashid
Md Mobasshir Rashid, Rezaur Rahman, Samiul Hasan
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traffic prediction during hurricane evacuation is essential for optimizing the use of transportation infrastructures. It can reduce evacuation time by providing information on future congestion in advance. However, evacuation traffic prediction can be challenging as evacuation traffic patterns is significantly differ...
[ { "created": "Thu, 16 Nov 2023 01:50:54 GMT", "version": "v1" } ]
2023-11-17
[ [ "Rashid", "Md Mobasshir", "" ], [ "Rahman", "Rezaur", "" ], [ "Hasan", "Samiul", "" ] ]
Traffic prediction during hurricane evacuation is essential for optimizing the use of transportation infrastructures. It can reduce evacuation time by providing information on future congestion in advance. However, evacuation traffic prediction can be challenging as evacuation traffic patterns is significantly differen...
2106.14617
Lucas Cavalcanti
Lucas Cavalcanti, Riei Joaquim, Edna Barros
Optimized Wireless Control and Telemetry Network for Mobile Soccer Robots
12 pages, published in RoboCup Symposium 2021
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
In a diverse set of robotics applications, including RoboCup categories, mobile robots require control commands to interact with surrounding environment correctly. These control commands should come wirelessly to not interfere in robots' movement; also, the communication has a set of requirements, including low laten...
[ { "created": "Mon, 28 Jun 2021 12:24:17 GMT", "version": "v1" } ]
2021-06-29
[ [ "Cavalcanti", "Lucas", "" ], [ "Joaquim", "Riei", "" ], [ "Barros", "Edna", "" ] ]
In a diverse set of robotics applications, including RoboCup categories, mobile robots require control commands to interact with surrounding environment correctly. These control commands should come wirelessly to not interfere in robots' movement; also, the communication has a set of requirements, including low latency...
1304.2728
Silvio Ursic
Silvio Ursic
Coefficients of Relations for Probabilistic Reasoning
Appears in Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI1987)
null
null
UAI-P-1987-PG-156-162
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Definitions and notations with historical references are given for some numerical coefficients commonly used to quantify relations among collections of objects for the purpose of expressing approximate knowledge and probabilistic reasoning.
[ { "created": "Wed, 27 Mar 2013 19:47:41 GMT", "version": "v1" } ]
2013-04-11
[ [ "Ursic", "Silvio", "" ] ]
Definitions and notations with historical references are given for some numerical coefficients commonly used to quantify relations among collections of objects for the purpose of expressing approximate knowledge and probabilistic reasoning.
2306.04557
Jens Behley
Jan Weyler and Federico Magistri and Elias Marks and Yue Linn Chong and Matteo Sodano and Gianmarco Roggiolani and Nived Chebrolu and Cyrill Stachniss and Jens Behley
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
null
10.1109/TPAMI.2024.3419548
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, lack of workers, and the availability of arable land. Vision systems can support making better and more sustainable field management decisi...
[ { "created": "Wed, 7 Jun 2023 16:04:08 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 12:48:47 GMT", "version": "v2" } ]
2024-07-25
[ [ "Weyler", "Jan", "" ], [ "Magistri", "Federico", "" ], [ "Marks", "Elias", "" ], [ "Chong", "Yue Linn", "" ], [ "Sodano", "Matteo", "" ], [ "Roggiolani", "Gianmarco", "" ], [ "Chebrolu", "Nived", "" ], ...
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, lack of workers, and the availability of arable land. Vision systems can support making better and more sustainable field management decision...
1502.03068
Sean Weerakkody
Sean Weerakkody, Yilin Mo, Bruno Sinopoli, Duo Han, Ling Shi
Multi-Sensor Scheduling for State Estimation with Event-Based, Stochastic Triggers
8 pages, 2 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In networked systems, state estimation is hampered by communication limits. Past approaches, which consider scheduling sensors through deterministic event-triggers, reduce communication and maintain estimation quality. However, these approaches destroy the Gaussian property of the state, making it computationally int...
[ { "created": "Tue, 10 Feb 2015 20:21:48 GMT", "version": "v1" } ]
2015-02-11
[ [ "Weerakkody", "Sean", "" ], [ "Mo", "Yilin", "" ], [ "Sinopoli", "Bruno", "" ], [ "Han", "Duo", "" ], [ "Shi", "Ling", "" ] ]
In networked systems, state estimation is hampered by communication limits. Past approaches, which consider scheduling sensors through deterministic event-triggers, reduce communication and maintain estimation quality. However, these approaches destroy the Gaussian property of the state, making it computationally intra...
2401.02843
Julia Fabienne Sandk\"uhler
Katja Grace, Harlan Stewart, Julia Fabienne Sandk\"uhler, Stephen Thomas, Ben Weinstein-Raun, Jan Brauner
Thousands of AI Authors on the Future of AI
The asterisk indicates the corresponding author. The dagger indicates equal contribution
null
null
null
cs.CY cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature and impacts of advanced AI systems The aggregate forecasts give at least a 50% chance of AI systems achieving several milestones by 2028, in...
[ { "created": "Fri, 5 Jan 2024 14:53:09 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2024 18:15:42 GMT", "version": "v2" } ]
2024-05-02
[ [ "Grace", "Katja", "" ], [ "Stewart", "Harlan", "" ], [ "Sandkühler", "Julia Fabienne", "" ], [ "Thomas", "Stephen", "" ], [ "Weinstein-Raun", "Ben", "" ], [ "Brauner", "Jan", "" ] ]
In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature and impacts of advanced AI systems The aggregate forecasts give at least a 50% chance of AI systems achieving several milestones by 2028, incl...
2302.03976
Matthew Johnson
Matthew A. Johnson and Stavros Volos and Ken Gordon and Sean T. Allen and Christoph M. Wintersteiger and Sylvan Clebsch and John Starks and Manuel Costa
Parma: Confidential Containers via Attested Execution Policies
12 pages, 6 figures, 2 tables
null
null
null
cs.CR cs.NI cs.OS
http://creativecommons.org/licenses/by/4.0/
Container-based technologies empower cloud tenants to develop highly portable software and deploy services in the cloud at a rapid pace. Cloud privacy, meanwhile, is important as a large number of container deployments operate on privacy-sensitive data, but challenging due to the increasing frequency and sophisticati...
[ { "created": "Wed, 8 Feb 2023 10:15:07 GMT", "version": "v1" }, { "created": "Tue, 28 Feb 2023 10:04:07 GMT", "version": "v2" }, { "created": "Tue, 7 Mar 2023 16:16:33 GMT", "version": "v3" } ]
2023-03-08
[ [ "Johnson", "Matthew A.", "" ], [ "Volos", "Stavros", "" ], [ "Gordon", "Ken", "" ], [ "Allen", "Sean T.", "" ], [ "Wintersteiger", "Christoph M.", "" ], [ "Clebsch", "Sylvan", "" ], [ "Starks", "John", "" ...
Container-based technologies empower cloud tenants to develop highly portable software and deploy services in the cloud at a rapid pace. Cloud privacy, meanwhile, is important as a large number of container deployments operate on privacy-sensitive data, but challenging due to the increasing frequency and sophistication...
2102.00905
Benno van den Berg
Benno van den Berg and Martijn den Besten
Quadratic type checking for objective type theory
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a modification of standard Martin-Lof type theory in which we eliminate definitional equality and replace all computation rules by propositional equalities. We show that type checking for such a system can be done in quadratic time and that it has a natural homotopy-theoretic semantics.
[ { "created": "Mon, 1 Feb 2021 15:28:35 GMT", "version": "v1" } ]
2021-02-02
[ [ "Berg", "Benno van den", "" ], [ "Besten", "Martijn den", "" ] ]
We introduce a modification of standard Martin-Lof type theory in which we eliminate definitional equality and replace all computation rules by propositional equalities. We show that type checking for such a system can be done in quadratic time and that it has a natural homotopy-theoretic semantics.
2111.11710
Sebastian Me\v{z}nar
Sebastian Me\v{z}nar, Matej Bevec, Nada Lavra\v{c}, Bla\v{z} \v{S}krlj
Link Analysis meets Ontologies: Are Embeddings the Answer?
17 pages, 8 tables, 7 figures
null
null
null
cs.LG cs.AI cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The increasing amounts of semantic resources offer valuable storage of human knowledge; however, the probability of wrong entries increases with the increased size. The development of approaches that identify potentially spurious parts of a given knowledge base is thus becoming an increasingly important area of inter...
[ { "created": "Tue, 23 Nov 2021 08:05:43 GMT", "version": "v1" } ]
2021-11-24
[ [ "Mežnar", "Sebastian", "" ], [ "Bevec", "Matej", "" ], [ "Lavrač", "Nada", "" ], [ "Škrlj", "Blaž", "" ] ]
The increasing amounts of semantic resources offer valuable storage of human knowledge; however, the probability of wrong entries increases with the increased size. The development of approaches that identify potentially spurious parts of a given knowledge base is thus becoming an increasingly important area of interes...
2107.12211
Yann Fraboni
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
A General Theory for Client Sampling in Federated Learning
null
null
null
null
cs.LG cs.AI cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While client sampling is a central operation of current state-of-the-art federated learning (FL) approaches, the impact of this procedure on the convergence and speed of FL remains under-investigated. In this work, we provide a general theoretical framework to quantify the impact of a client sampling scheme and of th...
[ { "created": "Mon, 26 Jul 2021 13:36:06 GMT", "version": "v1" }, { "created": "Tue, 26 Oct 2021 12:18:12 GMT", "version": "v2" }, { "created": "Wed, 22 Dec 2021 09:02:13 GMT", "version": "v3" }, { "created": "Tue, 14 Jun 2022 18:59:45 GMT", "version": "v4" } ]
2022-06-16
[ [ "Fraboni", "Yann", "" ], [ "Vidal", "Richard", "" ], [ "Kameni", "Laetitia", "" ], [ "Lorenzi", "Marco", "" ] ]
While client sampling is a central operation of current state-of-the-art federated learning (FL) approaches, the impact of this procedure on the convergence and speed of FL remains under-investigated. In this work, we provide a general theoretical framework to quantify the impact of a client sampling scheme and of the ...
2303.11708
Gabriel Skantze
Gabriel Skantze, A. Seza Do\u{g}ru\"oz
The Open-domain Paradox for Chatbots: Common Ground as the Basis for Human-like Dialogue
Accepted at SIGDIAL 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a surge in interest in the development of open-domain chatbots, driven by the recent advancements of large language models. The "openness" of the dialogue is expected to be maximized by providing minimal information to the users about the common ground they can expect, including the presumed joint activity. ...
[ { "created": "Tue, 21 Mar 2023 10:01:49 GMT", "version": "v1" }, { "created": "Fri, 28 Jul 2023 09:22:02 GMT", "version": "v2" } ]
2023-07-31
[ [ "Skantze", "Gabriel", "" ], [ "Doğruöz", "A. Seza", "" ] ]
There is a surge in interest in the development of open-domain chatbots, driven by the recent advancements of large language models. The "openness" of the dialogue is expected to be maximized by providing minimal information to the users about the common ground they can expect, including the presumed joint activity. Ho...
1301.1275
Luca Allodi
Luca Allodi, Fabio Massacci
My Software has a Vulnerability, should I worry?
12 pages, 4 figures
ACM TISSEC Vol 17 Issue 1, 2014
10.1145/2630069
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
(U.S) Rule-based policies to mitigate software risk suggest to use the CVSS score to measure the individual vulnerability risk and act accordingly: an HIGH CVSS score according to the NVD (National (U.S.) Vulnerability Database) is therefore translated into a "Yes". A key issue is whether such rule is economically se...
[ { "created": "Mon, 7 Jan 2013 17:32:36 GMT", "version": "v1" }, { "created": "Mon, 5 Aug 2013 21:09:41 GMT", "version": "v2" }, { "created": "Tue, 24 Sep 2013 14:05:27 GMT", "version": "v3" } ]
2015-04-13
[ [ "Allodi", "Luca", "" ], [ "Massacci", "Fabio", "" ] ]
(U.S) Rule-based policies to mitigate software risk suggest to use the CVSS score to measure the individual vulnerability risk and act accordingly: an HIGH CVSS score according to the NVD (National (U.S.) Vulnerability Database) is therefore translated into a "Yes". A key issue is whether such rule is economically sens...
2012.03743
Marcos Baez
Alessandro Pina, Marcos Baez, Florian Daniel
Bringing Cognitive Augmentation to Web Browsing Accessibility
null
null
null
null
cs.CY cs.AI cs.HC cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we explore the opportunities brought by cognitive augmentation to provide a more natural and accessible web browsing experience. We explore these opportunities through \textit{conversational web browsing}, an emerging interaction paradigm for the Web that enables blind and visually impaired users (BVIP)...
[ { "created": "Mon, 7 Dec 2020 14:40:52 GMT", "version": "v1" } ]
2020-12-08
[ [ "Pina", "Alessandro", "" ], [ "Baez", "Marcos", "" ], [ "Daniel", "Florian", "" ] ]
In this paper we explore the opportunities brought by cognitive augmentation to provide a more natural and accessible web browsing experience. We explore these opportunities through \textit{conversational web browsing}, an emerging interaction paradigm for the Web that enables blind and visually impaired users (BVIP), ...
2010.12948
Mengjin Dong
Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E.M. Wisse, Robin deFlores, David A. Wolk, Paul Yushkevich (for the Alzheimer's Disease Neuroimaging Initiative)
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease
Submitted to a journal, IF ~ 6
null
null
null
cs.LG eess.IV q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Volume change measures derived from longitudinal MRI (e.g. hippocampal atrophy) are a well-studied biomarker of disease progression in Alzheimer's Disease (AD) and are used in clinical trials to track the therapeutic efficacy of disease-modifying treatments. However, longitudinal MRI change measures can be confounded...
[ { "created": "Sat, 24 Oct 2020 18:23:02 GMT", "version": "v1" } ]
2020-10-27
[ [ "Dong", "Mengjin", "", "for the Alzheimer's\n Disease Neuroimaging Initiative" ], [ "Xie", "Long", "", "for the Alzheimer's\n Disease Neuroimaging Initiative" ], [ "Das", "Sandhitsu R.", "", "for the Alzheimer's\n Disease Neuroimaging Initiative" ], [...
Volume change measures derived from longitudinal MRI (e.g. hippocampal atrophy) are a well-studied biomarker of disease progression in Alzheimer's Disease (AD) and are used in clinical trials to track the therapeutic efficacy of disease-modifying treatments. However, longitudinal MRI change measures can be confounded b...
2208.06828
Li-Yue Sun
John Chiang
Multinomial Logistic Regression Algorithms via Quadratic Gradient
There is a good chance that the enhanced gradient methods for multiclass LR could be used in the classisation neural-network training via the softmax activation and the cross-entropy loss
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multinomial logistic regression, also known by other names such as multiclass logistic regression and softmax regression, is a fundamental classification method that generalizes binary logistic regression to multiclass problems. A recently work proposed a faster gradient called $\texttt{quadratic gradient}$ that can ...
[ { "created": "Sun, 14 Aug 2022 11:00:27 GMT", "version": "v1" }, { "created": "Wed, 29 Mar 2023 12:10:09 GMT", "version": "v2" } ]
2023-03-30
[ [ "Chiang", "John", "" ] ]
Multinomial logistic regression, also known by other names such as multiclass logistic regression and softmax regression, is a fundamental classification method that generalizes binary logistic regression to multiclass problems. A recently work proposed a faster gradient called $\texttt{quadratic gradient}$ that can ac...
1507.00385
Ranjit Jhala
Niki Vazou, Alexander Bakst, Ranjit Jhala
Bounded Refinement Types
14 pages, International Conference on Functional Programming, ICFP 2015
null
null
null
cs.PL cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a notion of bounded quantification for refinement types and show how it expands the expressiveness of refinement typing by using it to develop typed combinators for: (1) relational algebra and safe database access, (2) Floyd-Hoare logic within a state transformer monad equipped with combinators for branchi...
[ { "created": "Wed, 1 Jul 2015 22:14:45 GMT", "version": "v1" } ]
2015-07-03
[ [ "Vazou", "Niki", "" ], [ "Bakst", "Alexander", "" ], [ "Jhala", "Ranjit", "" ] ]
We present a notion of bounded quantification for refinement types and show how it expands the expressiveness of refinement typing by using it to develop typed combinators for: (1) relational algebra and safe database access, (2) Floyd-Hoare logic within a state transformer monad equipped with combinators for branching...
1911.10737
Liangchen Liu
Liangchen Liu, Louis Ly, Colin Macdonald, and Yen-Hsi Richard Tsai
Nearest Neighbor Sampling of Point Sets using Rays
48 pages, 14 figures, accepted to Communication on Applied Mathematics and Computation (CAMC), Focused Issue in Honor of Prof. Stanley Osher on the Occasion of His 80th Birthday. Fixed typos and improved notations
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new framework for the sampling, compression, and analysis of distributions of point sets and other geometric objects embedded in Euclidean spaces. Our approach involves constructing a tensor called the RaySense sketch, which captures nearest neighbors from the underlying geometry of points along a set of...
[ { "created": "Mon, 25 Nov 2019 07:31:54 GMT", "version": "v1" }, { "created": "Fri, 29 Nov 2019 20:09:42 GMT", "version": "v2" }, { "created": "Thu, 10 Nov 2022 01:24:32 GMT", "version": "v3" }, { "created": "Mon, 29 May 2023 23:16:24 GMT", "version": "v4" }, { "c...
2023-09-14
[ [ "Liu", "Liangchen", "" ], [ "Ly", "Louis", "" ], [ "Macdonald", "Colin", "" ], [ "Tsai", "Yen-Hsi Richard", "" ] ]
We propose a new framework for the sampling, compression, and analysis of distributions of point sets and other geometric objects embedded in Euclidean spaces. Our approach involves constructing a tensor called the RaySense sketch, which captures nearest neighbors from the underlying geometry of points along a set of r...
2404.02383
Andrew Eckford
Dongliang Jing, Lin Lin, Andrew W. Eckford
Performance Analysis and ISI Mitigation with Imperfect Transmitter in Molecular Communication
Accepted for publication in IEEE Transactions on Nanobioscience
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In molecular communication (MC), molecules are released from the transmitter to convey information. This paper considers a realistic molecule shift keying (MoSK) scenario with two species of molecule in two reservoirs, where the molecules are harvested from the environment and placed into different reservoirs, which ...
[ { "created": "Wed, 3 Apr 2024 00:55:12 GMT", "version": "v1" } ]
2024-04-04
[ [ "Jing", "Dongliang", "" ], [ "Lin", "Lin", "" ], [ "Eckford", "Andrew W.", "" ] ]
In molecular communication (MC), molecules are released from the transmitter to convey information. This paper considers a realistic molecule shift keying (MoSK) scenario with two species of molecule in two reservoirs, where the molecules are harvested from the environment and placed into different reservoirs, which ar...
cs/9906027
Gillian Callaghan
Yorick Wilks and Roberta Catizone
Human-Computer Conversation
14 pages, 1 figure
null
null
CS-99-04
cs.CL cs.HC
null
The article surveys a little of the history of the technology, sets out the main current theoretical approaches in brief, and discusses the on-going opposition between theoretical and empirical approaches. It illustrates the situation with some discussion of CONVERSE, a system that won the Loebner prize in 1997 and w...
[ { "created": "Fri, 25 Jun 1999 11:44:42 GMT", "version": "v1" } ]
2007-05-23
[ [ "Wilks", "Yorick", "" ], [ "Catizone", "Roberta", "" ] ]
The article surveys a little of the history of the technology, sets out the main current theoretical approaches in brief, and discusses the on-going opposition between theoretical and empirical approaches. It illustrates the situation with some discussion of CONVERSE, a system that won the Loebner prize in 1997 and whi...
1207.5774
Lou Marvin Caraig
Lou Marvin Caraig
A New Training Algorithm for Kanerva's Sparse Distributed Memory
5 pages, 5 figures
null
null
null
cs.CV cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Sparse Distributed Memory proposed by Pentii Kanerva (SDM in short) was thought to be a model of human long term memory. The architecture of the SDM permits to store binary patterns and to retrieve them using partially matching patterns. However Kanerva's model is especially efficient only in handling random data...
[ { "created": "Sun, 22 Jul 2012 16:30:07 GMT", "version": "v1" }, { "created": "Thu, 26 Jul 2012 05:04:18 GMT", "version": "v2" }, { "created": "Fri, 27 Jul 2012 08:24:51 GMT", "version": "v3" } ]
2012-07-30
[ [ "Caraig", "Lou Marvin", "" ] ]
The Sparse Distributed Memory proposed by Pentii Kanerva (SDM in short) was thought to be a model of human long term memory. The architecture of the SDM permits to store binary patterns and to retrieve them using partially matching patterns. However Kanerva's model is especially efficient only in handling random data. ...
1908.01761
Shengbin Jia
Shengbin Jia, Yang Xiang
Hybrid Neural Tagging Model for Open Relation Extraction
arXiv admin note: substantial text overlap with arXiv:1809.09408
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open relation extraction (ORE) remains a challenge to obtain a semantic representation by discovering arbitrary relation tuples from the unstructured text. Conventional methods heavily depend on feature engineering or syntactic parsing, they are inefficient or error-cascading. Recently, leveraging supervised deep lea...
[ { "created": "Fri, 26 Jul 2019 11:29:37 GMT", "version": "v1" }, { "created": "Fri, 16 Aug 2019 08:47:24 GMT", "version": "v2" }, { "created": "Thu, 13 Feb 2020 08:59:31 GMT", "version": "v3" } ]
2020-02-14
[ [ "Jia", "Shengbin", "" ], [ "Xiang", "Yang", "" ] ]
Open relation extraction (ORE) remains a challenge to obtain a semantic representation by discovering arbitrary relation tuples from the unstructured text. Conventional methods heavily depend on feature engineering or syntactic parsing, they are inefficient or error-cascading. Recently, leveraging supervised deep learn...
cs/0006019
Frankie James
Manny Rayner, Beth Ann Hockey, Frankie James
A Compact Architecture for Dialogue Management Based on Scripts and Meta-Outputs
null
Language Technology Joint Conference ANLP-NAACL 2000. 29 April - 4 May 2000, Seattle, WA
null
null
cs.CL
null
We describe an architecture for spoken dialogue interfaces to semi-autonomous systems that transforms speech signals through successive representations of linguistic, dialogue, and domain knowledge. Each step produces an output, and a meta-output describing the transformation, with an executable program in a simple s...
[ { "created": "Fri, 9 Jun 2000 21:41:54 GMT", "version": "v1" } ]
2007-05-23
[ [ "Rayner", "Manny", "" ], [ "Hockey", "Beth Ann", "" ], [ "James", "Frankie", "" ] ]
We describe an architecture for spoken dialogue interfaces to semi-autonomous systems that transforms speech signals through successive representations of linguistic, dialogue, and domain knowledge. Each step produces an output, and a meta-output describing the transformation, with an executable program in a simple scr...
1809.00970
Laurent Lejeune
Laurent Lejeune, Jan Grossrieder, Raphael Sznitman
Iterative multi-path tracking for video and volume segmentation with sparse point supervision
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recent machine learning strategies for segmentation tasks have shown great ability when trained on large pixel-wise annotated image datasets. It remains a major challenge however to aggregate such datasets, as the time and monetary cost associated with collecting extensive annotations is extremely high. This is parti...
[ { "created": "Mon, 27 Aug 2018 13:38:50 GMT", "version": "v1" } ]
2021-07-20
[ [ "Lejeune", "Laurent", "" ], [ "Grossrieder", "Jan", "" ], [ "Sznitman", "Raphael", "" ] ]
Recent machine learning strategies for segmentation tasks have shown great ability when trained on large pixel-wise annotated image datasets. It remains a major challenge however to aggregate such datasets, as the time and monetary cost associated with collecting extensive annotations is extremely high. This is particu...
1601.02379
Alex Lotz
Alex Lotz, Arne Hamann, Ingo L\"utkebohle, Dennis Stampfer, Matthias Lutz and Christian Schlegel
Modeling Non-Functional Application Domain Constraints for Component-Based Robotics Software Systems
Presented at DSLRob 2015 (arXiv:1601.00877)
null
null
DSLRob/2015/01
cs.RO cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Service robots are complex, heterogeneous, software intensive systems built from components. Recent robotics research trends mainly address isolated capabilities on functional level. Non-functional properties, such as responsiveness or deterministic behavior, are addressed only in isolation (if at all). We argue that...
[ { "created": "Mon, 11 Jan 2016 10:14:28 GMT", "version": "v1" } ]
2016-01-12
[ [ "Lotz", "Alex", "" ], [ "Hamann", "Arne", "" ], [ "Lütkebohle", "Ingo", "" ], [ "Stampfer", "Dennis", "" ], [ "Lutz", "Matthias", "" ], [ "Schlegel", "Christian", "" ] ]
Service robots are complex, heterogeneous, software intensive systems built from components. Recent robotics research trends mainly address isolated capabilities on functional level. Non-functional properties, such as responsiveness or deterministic behavior, are addressed only in isolation (if at all). We argue that h...
2305.07842
Jasmine Roberts
Jasmine Roberts
The AR/VR Technology Stack: A Central Repository of Software Development Libraries, Platforms, and Tools
null
null
10.13140/RG.2.2.10465.17769
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
A comprehensive repository of software development libraries, platforms, and tools specifically to the domains of augmented, virtual, and mixed reality.
[ { "created": "Sat, 13 May 2023 05:50:26 GMT", "version": "v1" } ]
2023-05-16
[ [ "Roberts", "Jasmine", "" ] ]
A comprehensive repository of software development libraries, platforms, and tools specifically to the domains of augmented, virtual, and mixed reality.
2406.05898
Mingwei Tang
Mingwei Tang, Meng Liu, Hong Li, Junjie Yang, Chenglin Wei, Boyang Li, Dai Li, Rengan Xu, Yifan Xu, Zehua Zhang, Xiangyu Wang, Linfeng Liu, Yuelei Xie, Chengye Liu, Labib Fawaz, Li Li, Hongnan Wang, Bill Zhu, Sri Reddy
Async Learned User Embeddings for Ads Delivery Optimization
Accepted by workshop on Multimodal Representation and Retrieval at SIGIR 2024, Washington DC
null
null
null
cs.IR cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In recommendation systems, high-quality user embeddings can capture subtle preferences, enable precise similarity calculations, and adapt to changing preferences over time to maintain relevance. The effectiveness of recommendation systems depends on the quality of user embedding. We propose to asynchronously learn hi...
[ { "created": "Sun, 9 Jun 2024 19:35:20 GMT", "version": "v1" }, { "created": "Sun, 23 Jun 2024 05:43:41 GMT", "version": "v2" } ]
2024-06-25
[ [ "Tang", "Mingwei", "" ], [ "Liu", "Meng", "" ], [ "Li", "Hong", "" ], [ "Yang", "Junjie", "" ], [ "Wei", "Chenglin", "" ], [ "Li", "Boyang", "" ], [ "Li", "Dai", "" ], [ "Xu", "Rengan", "" ...
In recommendation systems, high-quality user embeddings can capture subtle preferences, enable precise similarity calculations, and adapt to changing preferences over time to maintain relevance. The effectiveness of recommendation systems depends on the quality of user embedding. We propose to asynchronously learn high...
2112.11953
Xiao Xu
Xiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che
Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding
Accepted by AAAI 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current researches on spoken language understanding (SLU) heavily are limited to a simple setting: the plain text-based SLU that takes the user utterance as input and generates its corresponding semantic frames (e.g., intent and slots). Unfortunately, such a simple setting may fail to work in complex real-world scena...
[ { "created": "Wed, 22 Dec 2021 15:22:17 GMT", "version": "v1" }, { "created": "Thu, 6 Jan 2022 12:26:57 GMT", "version": "v2" }, { "created": "Wed, 12 Jan 2022 15:18:17 GMT", "version": "v3" } ]
2022-01-13
[ [ "Xu", "Xiao", "" ], [ "Qin", "Libo", "" ], [ "Chen", "Kaiji", "" ], [ "Wu", "Guoxing", "" ], [ "Li", "Linlin", "" ], [ "Che", "Wanxiang", "" ] ]
Current researches on spoken language understanding (SLU) heavily are limited to a simple setting: the plain text-based SLU that takes the user utterance as input and generates its corresponding semantic frames (e.g., intent and slots). Unfortunately, such a simple setting may fail to work in complex real-world scenari...
2004.10700
Netanel Raviv
Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, and Anxiao Jiang
CodNN -- Robust Neural Networks From Coded Classification
To appear in ISIT '20
null
null
null
cs.LG cs.CR cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Neural Networks (DNNs) are a revolutionary force in the ongoing information revolution, and yet their intrinsic properties remain a mystery. In particular, it is widely known that DNNs are highly sensitive to noise, whether adversarial or random. This poses a fundamental challenge for hardware implementations of...
[ { "created": "Wed, 22 Apr 2020 17:07:15 GMT", "version": "v1" }, { "created": "Wed, 29 Apr 2020 22:55:41 GMT", "version": "v2" } ]
2020-05-01
[ [ "Raviv", "Netanel", "" ], [ "Jain", "Siddharth", "" ], [ "Upadhyaya", "Pulakesh", "" ], [ "Bruck", "Jehoshua", "" ], [ "Jiang", "Anxiao", "" ] ]
Deep Neural Networks (DNNs) are a revolutionary force in the ongoing information revolution, and yet their intrinsic properties remain a mystery. In particular, it is widely known that DNNs are highly sensitive to noise, whether adversarial or random. This poses a fundamental challenge for hardware implementations of D...
2103.02727
Sydney Katz
Sydney M. Katz, Amir Maleki, Erdem B{\i}y{\i}k, Mykel J. Kochenderfer
Preference-based Learning of Reward Function Features
8 pages, 8 figures
null
null
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Preference-based learning of reward functions, where the reward function is learned using comparison data, has been well studied for complex robotic tasks such as autonomous driving. Existing algorithms have focused on learning reward functions that are linear in a set of trajectory features. The features are typical...
[ { "created": "Wed, 3 Mar 2021 22:32:43 GMT", "version": "v1" } ]
2021-03-05
[ [ "Katz", "Sydney M.", "" ], [ "Maleki", "Amir", "" ], [ "Bıyık", "Erdem", "" ], [ "Kochenderfer", "Mykel J.", "" ] ]
Preference-based learning of reward functions, where the reward function is learned using comparison data, has been well studied for complex robotic tasks such as autonomous driving. Existing algorithms have focused on learning reward functions that are linear in a set of trajectory features. The features are typically...
1401.0708
Taraka Rama Kasicheyanula
Taraka Rama, Sudheer Kolachina, Lakshmi Bai B
Quantitative methods for Phylogenetic Inference in Historical Linguistics: An experimental case study of South Central Dravidian
null
Indian Linguistics, Volume 70, 2009
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/3.0/
In this paper we examine the usefulness of two classes of algorithms Distance Methods, Discrete Character Methods (Felsenstein and Felsenstein 2003) widely used in genetics, for predicting the family relationships among a set of related languages and therefore, diachronic language change. Applying these algorithms to...
[ { "created": "Fri, 3 Jan 2014 20:17:47 GMT", "version": "v1" } ]
2014-01-06
[ [ "Rama", "Taraka", "" ], [ "Kolachina", "Sudheer", "" ], [ "B", "Lakshmi Bai", "" ] ]
In this paper we examine the usefulness of two classes of algorithms Distance Methods, Discrete Character Methods (Felsenstein and Felsenstein 2003) widely used in genetics, for predicting the family relationships among a set of related languages and therefore, diachronic language change. Applying these algorithms to t...
2309.15268
Amanda Adkins
Amanda Adkins, Taijing Chen, Joydeep Biswas
ObVi-SLAM: Long-Term Object-Visual SLAM
8 pages, 7 figures, 1 table plus appendix with 4 figures and 1 table
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Robots responsible for tasks over long time scales must be able to localize consistently and scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM approaches rely on low-level feature descriptors that are not robust to such environmental changes and result in large map sizes that scale poor...
[ { "created": "Tue, 26 Sep 2023 20:57:35 GMT", "version": "v1" }, { "created": "Sun, 22 Oct 2023 21:10:47 GMT", "version": "v2" } ]
2023-10-24
[ [ "Adkins", "Amanda", "" ], [ "Chen", "Taijing", "" ], [ "Biswas", "Joydeep", "" ] ]
Robots responsible for tasks over long time scales must be able to localize consistently and scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM approaches rely on low-level feature descriptors that are not robust to such environmental changes and result in large map sizes that scale poorly...
2003.11410
Ana Tanevska
Ana Tanevska, Francesco Rea, Giulio Sandini, Lola Ca\~namero, Alessandra Sciutti
A Socially Adaptable Framework for Human-Robot Interaction
null
null
10.3389/frobt.2020.00121
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In our everyday lives we are accustomed to partake in complex, personalized, adaptive interactions with our peers. For a social robot to be able to recreate this same kind of rich, human-like interaction, it should be aware of our needs and affective states and be capable of continuously adapting its behavior to them...
[ { "created": "Wed, 25 Mar 2020 13:53:12 GMT", "version": "v1" } ]
2020-10-26
[ [ "Tanevska", "Ana", "" ], [ "Rea", "Francesco", "" ], [ "Sandini", "Giulio", "" ], [ "Cañamero", "Lola", "" ], [ "Sciutti", "Alessandra", "" ] ]
In our everyday lives we are accustomed to partake in complex, personalized, adaptive interactions with our peers. For a social robot to be able to recreate this same kind of rich, human-like interaction, it should be aware of our needs and affective states and be capable of continuously adapting its behavior to them. ...
2407.08349
Durga R
Yashwanth Rao, Gaurisankar S, Durga R, Aparna Purayath, Vivek Maik, Manojkumar Lakshmanan, and Mohanasankar Sivaprakasm
Spine Vision X-Ray Image based GUI Planning of Pedicle Screws Using Enhanced YOLOv5 for Vertebrae Segmentation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose an innovative Graphical User Interface (GUI) aimed at improving preoperative planning and intra-operative guidance for precise spinal screw placement through vertebrae segmentation. The methodology encompasses both front-end and back-end computations. The front end comprises a GUI that allow...
[ { "created": "Thu, 11 Jul 2024 09:59:43 GMT", "version": "v1" } ]
2024-07-12
[ [ "Rao", "Yashwanth", "" ], [ "S", "Gaurisankar", "" ], [ "R", "Durga", "" ], [ "Purayath", "Aparna", "" ], [ "Maik", "Vivek", "" ], [ "Lakshmanan", "Manojkumar", "" ], [ "Sivaprakasm", "Mohanasankar", "" ]...
In this paper, we propose an innovative Graphical User Interface (GUI) aimed at improving preoperative planning and intra-operative guidance for precise spinal screw placement through vertebrae segmentation. The methodology encompasses both front-end and back-end computations. The front end comprises a GUI that allows ...
2002.07505
Hatem Khalloof
Hatem Khalloof, Wilfried Jakob, Shadi Shahoud, Clemens Duepmeier and Veit Hagenmeyer
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
null
null
null
null
cs.DC cs.AI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have seen an increasing integration of distributed renewable energy resources into existing electric power grids. Due to the uncertain nature of renewable energy resources, network operators are faced with new challenges in balancing load and generation. In order to meet the new requirements, intelligent...
[ { "created": "Tue, 18 Feb 2020 11:51:28 GMT", "version": "v1" }, { "created": "Thu, 4 Jun 2020 13:02:27 GMT", "version": "v2" } ]
2020-06-05
[ [ "Khalloof", "Hatem", "" ], [ "Jakob", "Wilfried", "" ], [ "Shahoud", "Shadi", "" ], [ "Duepmeier", "Clemens", "" ], [ "Hagenmeyer", "Veit", "" ] ]
Recent years have seen an increasing integration of distributed renewable energy resources into existing electric power grids. Due to the uncertain nature of renewable energy resources, network operators are faced with new challenges in balancing load and generation. In order to meet the new requirements, intelligent d...
2004.13876
Marcos Vin\'icius Treviso
Marcos V. Treviso and Andr\'e F. T. Martins
The Explanation Game: Towards Prediction Explainability through Sparse Communication
BlackBoxNLP 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Explainability is a topic of growing importance in NLP. In this work, we provide a unified perspective of explainability as a communication problem between an explainer and a layperson about a classifier's decision. We use this framework to compare several prior approaches for extracting explanations, including gradi...
[ { "created": "Tue, 28 Apr 2020 22:27:19 GMT", "version": "v1" }, { "created": "Mon, 12 Oct 2020 08:05:13 GMT", "version": "v2" } ]
2020-10-13
[ [ "Treviso", "Marcos V.", "" ], [ "Martins", "André F. T.", "" ] ]
Explainability is a topic of growing importance in NLP. In this work, we provide a unified perspective of explainability as a communication problem between an explainer and a layperson about a classifier's decision. We use this framework to compare several prior approaches for extracting explanations, including gradien...
cs/0603034
Ivan Jos\'e Varzinczak
Andreas Herzig and Ivan Varzinczak
Metatheory of actions: beyond consistency
null
null
null
null
cs.AI
null
Consistency check has been the only criterion for theory evaluation in logic-based approaches to reasoning about actions. This work goes beyond that and contributes to the metatheory of actions by investigating what other properties a good domain description in reasoning about actions should have. We state some metat...
[ { "created": "Thu, 9 Mar 2006 10:07:46 GMT", "version": "v1" } ]
2009-09-29
[ [ "Herzig", "Andreas", "" ], [ "Varzinczak", "Ivan", "" ] ]
Consistency check has been the only criterion for theory evaluation in logic-based approaches to reasoning about actions. This work goes beyond that and contributes to the metatheory of actions by investigating what other properties a good domain description in reasoning about actions should have. We state some metathe...
1804.10848
Abhishta -
C.G.J. Putman, Abhishta, Lambert J.M. Nieuwenhuis
Business Model of a Botnet
Proceedings of 2018, 26th Euromicro International conference on Parallel, Distributed, and Network-Based Processing (PDP)
null
10.1109/PDP2018.2018.00077
null
cs.CY cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Botnets continue to be an active threat against firms or companies and individuals worldwide. Previous research regarding botnets has unveiled information on how the system and their stakeholders operate, but an insight on the economic structure that supports these stakeholders is lacking. The objective of this resea...
[ { "created": "Sat, 28 Apr 2018 21:20:57 GMT", "version": "v1" } ]
2018-06-14
[ [ "Putman", "C. G. J.", "" ], [ "Abhishta", "", "" ], [ "Nieuwenhuis", "Lambert J. M.", "" ] ]
Botnets continue to be an active threat against firms or companies and individuals worldwide. Previous research regarding botnets has unveiled information on how the system and their stakeholders operate, but an insight on the economic structure that supports these stakeholders is lacking. The objective of this researc...
1604.01464
Mirza Kibria
Mirza Golam Kibria, Fang Yuan and Fumihide Kojima
Feedback Bits Allocation for Interference Minimization in Cognitive Radio Communications
Feedback Bits Allocation
IEEE Wireless Commun. Lett., vol. 5, no. 1, pp. 104-107, Feb. 2016
10.1109/LWC.2015.2503771
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This letter studies the limited feedback cognitive radio system, where the primary users (PU) are interfered by the secondary transmitter (ST) due to the imperfect beamforming. We propose to allocate the feedback bits among multiple PUs to minimize the maximum interference caused by the ST, by exploiting the heteroge...
[ { "created": "Wed, 6 Apr 2016 02:09:49 GMT", "version": "v1" } ]
2017-08-16
[ [ "Kibria", "Mirza Golam", "" ], [ "Yuan", "Fang", "" ], [ "Kojima", "Fumihide", "" ] ]
This letter studies the limited feedback cognitive radio system, where the primary users (PU) are interfered by the secondary transmitter (ST) due to the imperfect beamforming. We propose to allocate the feedback bits among multiple PUs to minimize the maximum interference caused by the ST, by exploiting the heterogene...
1309.3132
Xiao-Bo Jin
Xiao-Bo Jin, Guang-Gang Geng, Dexian Zhang
Combination of Multiple Bipartite Ranking for Web Content Quality Evaluation
17 pages, 8 figures, 2 tables
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Web content quality estimation is crucial to various web content processing applications. Our previous work applied Bagging + C4.5 to achive the best results on the ECML/PKDD Discovery Challenge 2010, which is the comibination of many point-wise rankinig models. In this paper, we combine multiple pair-wise bipartite ...
[ { "created": "Thu, 12 Sep 2013 12:15:51 GMT", "version": "v1" }, { "created": "Thu, 26 Jun 2014 03:01:13 GMT", "version": "v2" } ]
2014-06-27
[ [ "Jin", "Xiao-Bo", "" ], [ "Geng", "Guang-Gang", "" ], [ "Zhang", "Dexian", "" ] ]
Web content quality estimation is crucial to various web content processing applications. Our previous work applied Bagging + C4.5 to achive the best results on the ECML/PKDD Discovery Challenge 2010, which is the comibination of many point-wise rankinig models. In this paper, we combine multiple pair-wise bipartite ra...
2305.12768
Jae-woong Lee
Jae-woong Lee, Seongmin Park, Mincheol Yoon, and Jongwuk Lee
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering
SIGIR 2023
null
null
null
cs.IR cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Because implicit user feedback for the collaborative filtering (CF) models is biased toward popular items, CF models tend to yield recommendation lists with popularity bias. Previous studies have utilized inverse propensity weighting (IPW) or causal inference to mitigate this problem. However, they solely employ poin...
[ { "created": "Mon, 22 May 2023 06:55:38 GMT", "version": "v1" } ]
2023-05-23
[ [ "Lee", "Jae-woong", "" ], [ "Park", "Seongmin", "" ], [ "Yoon", "Mincheol", "" ], [ "Lee", "Jongwuk", "" ] ]
Because implicit user feedback for the collaborative filtering (CF) models is biased toward popular items, CF models tend to yield recommendation lists with popularity bias. Previous studies have utilized inverse propensity weighting (IPW) or causal inference to mitigate this problem. However, they solely employ pointw...
2210.00131
Emily McMilin
Emily McMilin
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
24 pages, 41 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Modern language modeling tasks are often underspecified: for a given token prediction, many words may satisfy the user's intent of producing natural language at inference time, however only one word will minimize the task's loss function at training time. We introduce a simple causal mechanism to describe the role un...
[ { "created": "Fri, 30 Sep 2022 23:10:11 GMT", "version": "v1" }, { "created": "Tue, 22 Nov 2022 14:50:04 GMT", "version": "v2" }, { "created": "Mon, 17 Jul 2023 17:56:10 GMT", "version": "v3" }, { "created": "Thu, 22 Feb 2024 18:52:15 GMT", "version": "v4" } ]
2024-02-23
[ [ "McMilin", "Emily", "" ] ]
Modern language modeling tasks are often underspecified: for a given token prediction, many words may satisfy the user's intent of producing natural language at inference time, however only one word will minimize the task's loss function at training time. We introduce a simple causal mechanism to describe the role unde...
1507.06829
Lisa Posch
Lisa Posch, Arnim Bleier, Philipp Schaer, Markus Strohmaier
The Polylingual Labeled Topic Model
Accepted for publication at KI 2015 (38th edition of the German Conference on Artificial Intelligence)
null
10.1007/978-3-319-24489-1_26
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present the Polylingual Labeled Topic Model, a model which combines the characteristics of the existing Polylingual Topic Model and Labeled LDA. The model accounts for multiple languages with separate topic distributions for each language while restricting the permitted topics of a document to a set...
[ { "created": "Fri, 24 Jul 2015 13:01:20 GMT", "version": "v1" } ]
2017-05-03
[ [ "Posch", "Lisa", "" ], [ "Bleier", "Arnim", "" ], [ "Schaer", "Philipp", "" ], [ "Strohmaier", "Markus", "" ] ]
In this paper, we present the Polylingual Labeled Topic Model, a model which combines the characteristics of the existing Polylingual Topic Model and Labeled LDA. The model accounts for multiple languages with separate topic distributions for each language while restricting the permitted topics of a document to a set o...
2303.12241
Shiqiang Du
Kaiwu Zhang, Shiqiang Du, Baokai Liu, and Shengxia Gao
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Incomplete multi-view clustering (IMVC) is an unsupervised approach, among which IMVC via contrastive learning has received attention due to its excellent performance. The previous methods have the following problems: 1) Over-reliance on additional projection heads when solving the dimensional collapse problem in whi...
[ { "created": "Wed, 22 Mar 2023 00:21:50 GMT", "version": "v1" } ]
2023-03-23
[ [ "Zhang", "Kaiwu", "" ], [ "Du", "Shiqiang", "" ], [ "Liu", "Baokai", "" ], [ "Gao", "Shengxia", "" ] ]
Incomplete multi-view clustering (IMVC) is an unsupervised approach, among which IMVC via contrastive learning has received attention due to its excellent performance. The previous methods have the following problems: 1) Over-reliance on additional projection heads when solving the dimensional collapse problem in which...
2001.00003
Chengyue Jiang
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
Learning Numeral Embeddings
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word embedding is an essential building block for deep learning methods for natural language processing. Although word embedding has been extensively studied over the years, the problem of how to effectively embed numerals, a special subset of words, is still underexplored. Existing word embedding methods do not lear...
[ { "created": "Sat, 28 Dec 2019 03:15:43 GMT", "version": "v1" }, { "created": "Wed, 8 Jan 2020 13:57:12 GMT", "version": "v2" }, { "created": "Sat, 11 Jan 2020 14:00:55 GMT", "version": "v3" } ]
2020-01-14
[ [ "Jiang", "Chengyue", "" ], [ "Nian", "Zhonglin", "" ], [ "Guo", "Kaihao", "" ], [ "Chu", "Shanbo", "" ], [ "Zhao", "Yinggong", "" ], [ "Shen", "Libin", "" ], [ "Tu", "Kewei", "" ] ]
Word embedding is an essential building block for deep learning methods for natural language processing. Although word embedding has been extensively studied over the years, the problem of how to effectively embed numerals, a special subset of words, is still underexplored. Existing word embedding methods do not learn ...
2304.04172
Kfir Levy Yehuda
Kfir Y. Levy
$\mu^2$-SGD: Stable Stochastic Optimization via a Double Momentum Mechanism
null
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider stochastic convex optimization problems where the objective is an expectation over smooth functions. For this setting we suggest a novel gradient estimate that combines two recent mechanism that are related to notion of momentum. Then, we design an SGD-style algorithm as well as an accelerated version tha...
[ { "created": "Sun, 9 Apr 2023 06:18:34 GMT", "version": "v1" } ]
2023-04-11
[ [ "Levy", "Kfir Y.", "" ] ]
We consider stochastic convex optimization problems where the objective is an expectation over smooth functions. For this setting we suggest a novel gradient estimate that combines two recent mechanism that are related to notion of momentum. Then, we design an SGD-style algorithm as well as an accelerated version that ...
2406.05849
Jianhao Zheng
Jianhao Zheng, Daniel Barath, Marc Pollefeys, Iro Armeni
MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creating 3D semantic reconstructions of environments is fundamental to many applications, especially when related to autonomous agent operation (e.g., goal-oriented navigation or object interaction and manipulation). Commonly, 3D semantic reconstruction systems capture the entire scene in the same level of detail. Ho...
[ { "created": "Sun, 9 Jun 2024 16:48:27 GMT", "version": "v1" } ]
2024-06-11
[ [ "Zheng", "Jianhao", "" ], [ "Barath", "Daniel", "" ], [ "Pollefeys", "Marc", "" ], [ "Armeni", "Iro", "" ] ]
Creating 3D semantic reconstructions of environments is fundamental to many applications, especially when related to autonomous agent operation (e.g., goal-oriented navigation or object interaction and manipulation). Commonly, 3D semantic reconstruction systems capture the entire scene in the same level of detail. Howe...
2312.05436
Xiao Ling
Xiao Ling, Tim Menzies, Christopher Hazard, Jack Shu, Jacob Beel
Trading Off Scalability, Privacy, and Performance in Data Synthesis
13 pages, 2 figures, 6 tables, submitted to IEEEAccess
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Synthetic data has been widely applied in the real world recently. One typical example is the creation of synthetic data for privacy concerned datasets. In this scenario, synthetic data substitute the real data which contains the privacy information, and is used to public testing for machine learning models. Another ...
[ { "created": "Sat, 9 Dec 2023 02:04:25 GMT", "version": "v1" } ]
2023-12-12
[ [ "Ling", "Xiao", "" ], [ "Menzies", "Tim", "" ], [ "Hazard", "Christopher", "" ], [ "Shu", "Jack", "" ], [ "Beel", "Jacob", "" ] ]
Synthetic data has been widely applied in the real world recently. One typical example is the creation of synthetic data for privacy concerned datasets. In this scenario, synthetic data substitute the real data which contains the privacy information, and is used to public testing for machine learning models. Another ty...
1905.10681
Ahmed Qureshi
Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip
Composing Task-Agnostic Policies with Deep Reinforcement Learning
ICLR 2020
null
null
null
cs.LG cs.AI cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The composition of elementary behaviors to solve challenging transfer learning problems is one of the key elements in building intelligent machines. To date, there has been plenty of work on learning task-specific policies or skills but almost no focus on composing necessary, task-agnostic skills to find a solution t...
[ { "created": "Sat, 25 May 2019 21:40:38 GMT", "version": "v1" }, { "created": "Mon, 30 Dec 2019 20:32:24 GMT", "version": "v2" } ]
2020-01-01
[ [ "Qureshi", "Ahmed H.", "" ], [ "Johnson", "Jacob J.", "" ], [ "Qin", "Yuzhe", "" ], [ "Henderson", "Taylor", "" ], [ "Boots", "Byron", "" ], [ "Yip", "Michael C.", "" ] ]
The composition of elementary behaviors to solve challenging transfer learning problems is one of the key elements in building intelligent machines. To date, there has been plenty of work on learning task-specific policies or skills but almost no focus on composing necessary, task-agnostic skills to find a solution to ...
2210.07442
Minghua Liu
Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
Conference on Robot Learning (CoRL) 2022; Project Website: https://colin97.github.io/FrameMining/
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
We study how choices of input point cloud coordinate frames impact learning of manipulation skills from 3D point clouds. There exist a variety of coordinate frame choices to normalize captured robot-object-interaction point clouds. We find that different frames have a profound effect on agent learning performance, an...
[ { "created": "Fri, 14 Oct 2022 01:05:44 GMT", "version": "v1" } ]
2022-10-17
[ [ "Liu", "Minghua", "" ], [ "Li", "Xuanlin", "" ], [ "Ling", "Zhan", "" ], [ "Li", "Yangyan", "" ], [ "Su", "Hao", "" ] ]
We study how choices of input point cloud coordinate frames impact learning of manipulation skills from 3D point clouds. There exist a variety of coordinate frame choices to normalize captured robot-object-interaction point clouds. We find that different frames have a profound effect on agent learning performance, and ...
1602.01925
Waleed Ammar
Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, Noah A. Smith
Massively Multilingual Word Embeddings
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space. Our estimation methods, multiCluster and multiCCA, use dictionaries and monolingual data; they do not require parallel data. Our new evaluation method, multiQVEC-CCA, is shown to...
[ { "created": "Fri, 5 Feb 2016 04:26:38 GMT", "version": "v1" }, { "created": "Sat, 21 May 2016 08:08:21 GMT", "version": "v2" } ]
2016-05-24
[ [ "Ammar", "Waleed", "" ], [ "Mulcaire", "George", "" ], [ "Tsvetkov", "Yulia", "" ], [ "Lample", "Guillaume", "" ], [ "Dyer", "Chris", "" ], [ "Smith", "Noah A.", "" ] ]
We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space. Our estimation methods, multiCluster and multiCCA, use dictionaries and monolingual data; they do not require parallel data. Our new evaluation method, multiQVEC-CCA, is shown to c...
1705.01507
Joerg Evermann
Joerg Evermann and Jana-Rebecca Rehse and Peter Fettke
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predicting the next activity of a running process is an important aspect of process management. Recently, artificial neural networks, so called deep-learning approaches, have been proposed to address this challenge. This demo paper describes a software application that applies the Tensorflow deep-learning framework t...
[ { "created": "Wed, 3 May 2017 16:48:51 GMT", "version": "v1" } ]
2017-05-04
[ [ "Evermann", "Joerg", "" ], [ "Rehse", "Jana-Rebecca", "" ], [ "Fettke", "Peter", "" ] ]
Predicting the next activity of a running process is an important aspect of process management. Recently, artificial neural networks, so called deep-learning approaches, have been proposed to address this challenge. This demo paper describes a software application that applies the Tensorflow deep-learning framework to ...
1611.08315
Sandor P. Fekete
S\'andor P. Fekete and Qian Li and Joseph S. B. Mitchell and Christian Scheffer
Universal Guard Problems
28 pages, 19 figures, full version of extended abstract that appeared in the 27th International Symposium on Algorithms and Computation (ISAAC 2016), 32:1-32:13
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We provide a spectrum of results for the Universal Guard Problem, in which one is to obtain a small set of points ("guards") that are "universal" in their ability to guard any of a set of possible polygonal domains in the plane. We give upper and lower bounds on the number of universal guards that are always sufficie...
[ { "created": "Thu, 24 Nov 2016 21:38:59 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2017 07:19:12 GMT", "version": "v2" } ]
2017-03-28
[ [ "Fekete", "Sándor P.", "" ], [ "Li", "Qian", "" ], [ "Mitchell", "Joseph S. B.", "" ], [ "Scheffer", "Christian", "" ] ]
We provide a spectrum of results for the Universal Guard Problem, in which one is to obtain a small set of points ("guards") that are "universal" in their ability to guard any of a set of possible polygonal domains in the plane. We give upper and lower bounds on the number of universal guards that are always sufficient...
2406.02898
Xiao Zheng
Xiao Zheng, Wenchi Cheng, Jingqing Wang, Wei Zhang
Location-Driven Beamforming for RIS-Assisted Near-Field Communications
7 pages, 6 figures, accepted by IEEE Communication Magazine
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Future wireless communications are promising to support ubiquitous connections and high data rates with cost-effective devices. Benefiting from the energy-efficient elements with low cost, reconfigurable intelligent surface (RIS) emerges as a potential solution to fulfill such demands, which has the capability to fle...
[ { "created": "Wed, 5 Jun 2024 03:36:38 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2024 02:47:59 GMT", "version": "v2" } ]
2024-07-19
[ [ "Zheng", "Xiao", "" ], [ "Cheng", "Wenchi", "" ], [ "Wang", "Jingqing", "" ], [ "Zhang", "Wei", "" ] ]
Future wireless communications are promising to support ubiquitous connections and high data rates with cost-effective devices. Benefiting from the energy-efficient elements with low cost, reconfigurable intelligent surface (RIS) emerges as a potential solution to fulfill such demands, which has the capability to flexi...
1805.05345
Cristian Danescu-Niculescu-Mizil
Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, Dario Taraborelli
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
To appear in the Proceedings of ACL 2018, 15 pages, 1 figure. Data, quiz, code and additional information at http://www.cs.cornell.edu/~cristian/Conversations_gone_awry.html
null
null
null
cs.CL cs.AI cs.CY cs.HC physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of predicting from the very start of a conversation whether it will get out of hand. As opposed to detecting undesirable behavior after the fact,...
[ { "created": "Mon, 14 May 2018 18:00:03 GMT", "version": "v1" } ]
2018-05-16
[ [ "Zhang", "Justine", "" ], [ "Chang", "Jonathan P.", "" ], [ "Danescu-Niculescu-Mizil", "Cristian", "" ], [ "Dixon", "Lucas", "" ], [ "Hua", "Yiqing", "" ], [ "Thain", "Nithum", "" ], [ "Taraborelli", "Dario", ...
One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of predicting from the very start of a conversation whether it will get out of hand. As opposed to detecting undesirable behavior after the fact, t...
1807.11655
Ho Bae
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Hyungyu Lee, Sungroh Yoon
Security and Privacy Issues in Deep Learning
null
null
null
null
cs.CR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To promote secure and private artificial intelligence (SPAI), we review studies on the model security and data privacy of DNNs. Model security allows system to behave as intended without being affected by malicious external influences that can compromise its integrity and efficiency. Security attacks can be divided b...
[ { "created": "Tue, 31 Jul 2018 04:18:26 GMT", "version": "v1" }, { "created": "Thu, 6 Dec 2018 07:35:31 GMT", "version": "v2" }, { "created": "Sat, 23 Nov 2019 17:25:45 GMT", "version": "v3" }, { "created": "Wed, 10 Mar 2021 00:55:18 GMT", "version": "v4" } ]
2021-03-11
[ [ "Bae", "Ho", "" ], [ "Jang", "Jaehee", "" ], [ "Jung", "Dahuin", "" ], [ "Jang", "Hyemi", "" ], [ "Ha", "Heonseok", "" ], [ "Lee", "Hyungyu", "" ], [ "Yoon", "Sungroh", "" ] ]
To promote secure and private artificial intelligence (SPAI), we review studies on the model security and data privacy of DNNs. Model security allows system to behave as intended without being affected by malicious external influences that can compromise its integrity and efficiency. Security attacks can be divided bas...
2009.01195
Avishek Garain
Avishek Garain
Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media
Preprint for SemEval-2020 Task 12 System description paper, 8 pages, 3 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
SemEval-2020 Task 12 was OffenseEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). The task was subdivided into multiple languages and datasets were provided for each one. The task was further divided into three sub-tasks: offensive language identification, automatic categor...
[ { "created": "Wed, 2 Sep 2020 17:09:29 GMT", "version": "v1" } ]
2020-09-03
[ [ "Garain", "Avishek", "" ] ]
SemEval-2020 Task 12 was OffenseEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). The task was subdivided into multiple languages and datasets were provided for each one. The task was further divided into three sub-tasks: offensive language identification, automatic categoriz...
1104.3348
Nisarg Shah
Krishnendu Chatterjee and Monika Henzinger and Manas Joglekar and Nisarg Shah
Symbolic Algorithms for Qualitative Analysis of Markov Decision Processes with B\"uchi Objectives
null
In Formal Methods in System Design, 42(3):301-327, 2013
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider Markov decision processes (MDPs) with \omega-regular specifications given as parity objectives. We consider the problem of computing the set of almost-sure winning states from where the objective can be ensured with probability 1. The algorithms for the computation of the almost-sure winning set for parit...
[ { "created": "Sun, 17 Apr 2011 20:47:42 GMT", "version": "v1" }, { "created": "Wed, 19 Nov 2014 20:48:12 GMT", "version": "v2" } ]
2014-11-20
[ [ "Chatterjee", "Krishnendu", "" ], [ "Henzinger", "Monika", "" ], [ "Joglekar", "Manas", "" ], [ "Shah", "Nisarg", "" ] ]
We consider Markov decision processes (MDPs) with \omega-regular specifications given as parity objectives. We consider the problem of computing the set of almost-sure winning states from where the objective can be ensured with probability 1. The algorithms for the computation of the almost-sure winning set for parity ...
2302.04116
Yujin Huang
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen
Training-free Lexical Backdoor Attacks on Language Models
Accepted to International World Wide Web Conference 2023, Security, Privacy & Trust Track
null
10.1145/3543507.3583348
null
cs.CR cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale language models have achieved tremendous success across various natural language processing (NLP) applications. Nevertheless, language models are vulnerable to backdoor attacks, which inject stealthy triggers into models for steering them to undesirable behaviors. Most existing backdoor attacks, such as d...
[ { "created": "Wed, 8 Feb 2023 15:18:51 GMT", "version": "v1" } ]
2023-02-09
[ [ "Huang", "Yujin", "" ], [ "Zhuo", "Terry Yue", "" ], [ "Xu", "Qiongkai", "" ], [ "Hu", "Han", "" ], [ "Yuan", "Xingliang", "" ], [ "Chen", "Chunyang", "" ] ]
Large-scale language models have achieved tremendous success across various natural language processing (NLP) applications. Nevertheless, language models are vulnerable to backdoor attacks, which inject stealthy triggers into models for steering them to undesirable behaviors. Most existing backdoor attacks, such as dat...
1304.1881
J\'er\'emie Lumbroso
Olivier Bodini and J\'er\'emie Lumbroso and Nicolas Rolin
Analytic Samplers and the Combinatorial Rejection Method
accepted at ANALCO 2015, 11 pages, 7 figures
null
null
null
cs.DM cs.DS math.CO math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Boltzmann samplers, introduced by Duchon et al. in 2001, make it possible to uniformly draw approximate size objects from any class which can be specified through the symbolic method. This, through by evaluating the associated generating functions to obtain the correct branching probabilities. But these samplers re...
[ { "created": "Sat, 6 Apr 2013 11:48:33 GMT", "version": "v1" }, { "created": "Mon, 8 Sep 2014 18:17:33 GMT", "version": "v2" }, { "created": "Thu, 13 Nov 2014 02:09:58 GMT", "version": "v3" } ]
2014-11-14
[ [ "Bodini", "Olivier", "" ], [ "Lumbroso", "Jérémie", "" ], [ "Rolin", "Nicolas", "" ] ]
Boltzmann samplers, introduced by Duchon et al. in 2001, make it possible to uniformly draw approximate size objects from any class which can be specified through the symbolic method. This, through by evaluating the associated generating functions to obtain the correct branching probabilities. But these samplers requir...
2306.00431
Jovan Komatovic
Pierre Civit, Seth Gilbert, Rachid Guerraoui, Jovan Komatovic, Matteo Monti, Manuel Vidigueira
Every Bit Counts in Consensus
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Consensus enables n processes to agree on a common valid L-bit value, despite t < n/3 processes being faulty and acting arbitrarily. A long line of work has been dedicated to improving the worst-case communication complexity of consensus in partial synchrony. This has recently culminated in the worst-case word comple...
[ { "created": "Thu, 1 Jun 2023 08:18:16 GMT", "version": "v1" }, { "created": "Mon, 7 Aug 2023 12:32:41 GMT", "version": "v2" } ]
2023-08-09
[ [ "Civit", "Pierre", "" ], [ "Gilbert", "Seth", "" ], [ "Guerraoui", "Rachid", "" ], [ "Komatovic", "Jovan", "" ], [ "Monti", "Matteo", "" ], [ "Vidigueira", "Manuel", "" ] ]
Consensus enables n processes to agree on a common valid L-bit value, despite t < n/3 processes being faulty and acting arbitrarily. A long line of work has been dedicated to improving the worst-case communication complexity of consensus in partial synchrony. This has recently culminated in the worst-case word complexi...
2207.11707
Sungha Choi
Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
Accepted to ECCV 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper proposes a novel test-time adaptation strategy that adjusts the model pre-trained on the source domain using only unlabeled online data from the target domain to alleviate the performance degradation due to the distribution shift between the source and target domains. Adapting the entire model parameters u...
[ { "created": "Sun, 24 Jul 2022 10:17:05 GMT", "version": "v1" } ]
2022-07-26
[ [ "Choi", "Sungha", "" ], [ "Yang", "Seunghan", "" ], [ "Choi", "Seokeon", "" ], [ "Yun", "Sungrack", "" ] ]
This paper proposes a novel test-time adaptation strategy that adjusts the model pre-trained on the source domain using only unlabeled online data from the target domain to alleviate the performance degradation due to the distribution shift between the source and target domains. Adapting the entire model parameters usi...
1302.4973
Christopher Meek
Christopher Meek
Strong Completeness and Faithfulness in Bayesian Networks
Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)
null
null
UAI-P-1995-PG-411-418
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A completeness result for d-separation applied to discrete Bayesian networks is presented and it is shown that in a strong measure-theoretic sense almost all discrete distributions for a given network structure are faithful; i.e. the independence facts true of the distribution are all and only those entailed by the n...
[ { "created": "Wed, 20 Feb 2013 15:22:46 GMT", "version": "v1" } ]
2013-02-21
[ [ "Meek", "Christopher", "" ] ]
A completeness result for d-separation applied to discrete Bayesian networks is presented and it is shown that in a strong measure-theoretic sense almost all discrete distributions for a given network structure are faithful; i.e. the independence facts true of the distribution are all and only those entailed by the net...
2012.03449
Zhaoting Li
Zhaoting Li, Jiankun Wang and Max Q.-H. Meng
Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model
null
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Robot path planning is difficult to solve due to the contradiction between optimality of results and complexity of algorithms, even in 2D environments. To find an optimal path, the algorithm needs to search all the state space, which costs a lot of computation resource. To address this issue, we present a novel recur...
[ { "created": "Mon, 7 Dec 2020 05:03:03 GMT", "version": "v1" } ]
2020-12-08
[ [ "Li", "Zhaoting", "" ], [ "Wang", "Jiankun", "" ], [ "Meng", "Max Q. -H.", "" ] ]
Robot path planning is difficult to solve due to the contradiction between optimality of results and complexity of algorithms, even in 2D environments. To find an optimal path, the algorithm needs to search all the state space, which costs a lot of computation resource. To address this issue, we present a novel recurre...
1907.04383
Joshua Brakensiek
Joshua Brakensiek, Venkatesan Guruswami, Marcin Wrochna, and Stanislav \v{Z}ivn\'y
The Power of the Combined Basic LP and Affine Relaxation for Promise CSPs
17 pages, to appear in SICOMP
SIAM Journal on Computing 49(6) (2020) 1232-1248
10.1137/20M1312745
null
cs.DS cs.CC cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the field of constraint satisfaction problems (CSP), promise CSPs are an exciting new direction of study. In a promise CSP, each constraint comes in two forms: "strict" and "weak," and in the associated decision problem one must distinguish between being able to satisfy all the strict constraints versus not being ...
[ { "created": "Tue, 9 Jul 2019 19:54:36 GMT", "version": "v1" }, { "created": "Thu, 16 Jan 2020 21:35:32 GMT", "version": "v2" }, { "created": "Fri, 18 Sep 2020 14:35:12 GMT", "version": "v3" } ]
2020-12-03
[ [ "Brakensiek", "Joshua", "" ], [ "Guruswami", "Venkatesan", "" ], [ "Wrochna", "Marcin", "" ], [ "Živný", "Stanislav", "" ] ]
In the field of constraint satisfaction problems (CSP), promise CSPs are an exciting new direction of study. In a promise CSP, each constraint comes in two forms: "strict" and "weak," and in the associated decision problem one must distinguish between being able to satisfy all the strict constraints versus not being ab...
2103.14417
Elena Burceanu
Emanuela Haller, Elena Burceanu, Marius Leordeanu
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
Accepted at The British Machine Vision Conference (BMVC) 2021, 12 pages, 6 figures, 5 tables
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The human ability to synchronize the feedback from all their senses inspired recent works in multi-task and multi-modal learning. While these works rely on expensive supervision, our multi-task graph requires only pseudo-labels from expert models. Every graph node represents a task, and each edge learns between tasks...
[ { "created": "Fri, 26 Mar 2021 11:57:42 GMT", "version": "v1" }, { "created": "Tue, 28 Sep 2021 09:01:06 GMT", "version": "v2" }, { "created": "Thu, 4 Nov 2021 17:59:14 GMT", "version": "v3" } ]
2021-11-05
[ [ "Haller", "Emanuela", "" ], [ "Burceanu", "Elena", "" ], [ "Leordeanu", "Marius", "" ] ]
The human ability to synchronize the feedback from all their senses inspired recent works in multi-task and multi-modal learning. While these works rely on expensive supervision, our multi-task graph requires only pseudo-labels from expert models. Every graph node represents a task, and each edge learns between tasks t...
2408.00724
Yangzhen Wu
Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang
An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
The optimal training configurations of large language models (LLMs) with respect to model sizes and compute budgets have been extensively studied. But how to optimally configure LLMs during inference has not been explored in sufficient depth. We study compute-optimal inference: designing models and inference strategi...
[ { "created": "Thu, 1 Aug 2024 17:16:04 GMT", "version": "v1" } ]
2024-08-02
[ [ "Wu", "Yangzhen", "" ], [ "Sun", "Zhiqing", "" ], [ "Li", "Shanda", "" ], [ "Welleck", "Sean", "" ], [ "Yang", "Yiming", "" ] ]
The optimal training configurations of large language models (LLMs) with respect to model sizes and compute budgets have been extensively studied. But how to optimally configure LLMs during inference has not been explored in sufficient depth. We study compute-optimal inference: designing models and inference strategies...
1109.5804
Petr Hlin\v{e}n\'y
Robert Ganian and Petr Hlin\v{e}n\'y and Alexander Langer and Jan Obdr\v{z}\'alek and Peter Rossmanith and Somnath Sikdar
Lower Bounds on the Complexity of MSO1 Model-Checking
null
null
null
null
cs.LO cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the most important algorithmic meta-theorems is a famous result by Courcelle, which states that any graph problem definable in monadic second-order logic with edge-set quantifications (i.e., MSO2 model-checking) is decidable in linear time on any class of graphs of bounded tree-width. Recently, Kreutzer and Ta...
[ { "created": "Tue, 27 Sep 2011 08:45:10 GMT", "version": "v1" }, { "created": "Thu, 21 Jun 2012 21:20:13 GMT", "version": "v2" } ]
2012-06-25
[ [ "Ganian", "Robert", "" ], [ "Hliněný", "Petr", "" ], [ "Langer", "Alexander", "" ], [ "Obdržálek", "Jan", "" ], [ "Rossmanith", "Peter", "" ], [ "Sikdar", "Somnath", "" ] ]
One of the most important algorithmic meta-theorems is a famous result by Courcelle, which states that any graph problem definable in monadic second-order logic with edge-set quantifications (i.e., MSO2 model-checking) is decidable in linear time on any class of graphs of bounded tree-width. Recently, Kreutzer and Taza...
2310.13304
Nan Gao
Nan Gao, Sam Nolan, Kaixin Ji, Shakila Khan Rumi, Judith Simone Heinisch, Christoph Anderson, Klaus David, Flora D. Salim
"Living Within Four Walls": Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Home confinement, a situation experienced by individuals for reasons ranging from medical quarantines, rehabilitation needs, disability accommodations, and remote working, is a common yet impactful aspect of modern life. While essential in various scenarios, confinement within the home environment can profoundly infl...
[ { "created": "Fri, 20 Oct 2023 06:36:28 GMT", "version": "v1" }, { "created": "Sat, 8 Jun 2024 10:16:36 GMT", "version": "v2" } ]
2024-06-11
[ [ "Gao", "Nan", "" ], [ "Nolan", "Sam", "" ], [ "Ji", "Kaixin", "" ], [ "Rumi", "Shakila Khan", "" ], [ "Heinisch", "Judith Simone", "" ], [ "Anderson", "Christoph", "" ], [ "David", "Klaus", "" ], [ ...
Home confinement, a situation experienced by individuals for reasons ranging from medical quarantines, rehabilitation needs, disability accommodations, and remote working, is a common yet impactful aspect of modern life. While essential in various scenarios, confinement within the home environment can profoundly influe...
2207.14072
Chenning Li
Chenning Li, Li Liu, Zhichao Cao, Mi Zhang
WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking
Proceedings of IEEE SECON, 2022
null
null
null
cs.HC eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Passive human tracking via Wi-Fi has been researched broadly in the past decade. Besides straight-forward anchor point localization, velocity is another vital sign adopted by the existing approaches to infer user trajectory. However, state-of-the-art Wi-Fi velocity estimation relies on Doppler-Frequency-Shift (DFS) w...
[ { "created": "Thu, 28 Jul 2022 13:24:07 GMT", "version": "v1" } ]
2022-07-29
[ [ "Li", "Chenning", "" ], [ "Liu", "Li", "" ], [ "Cao", "Zhichao", "" ], [ "Zhang", "Mi", "" ] ]
Passive human tracking via Wi-Fi has been researched broadly in the past decade. Besides straight-forward anchor point localization, velocity is another vital sign adopted by the existing approaches to infer user trajectory. However, state-of-the-art Wi-Fi velocity estimation relies on Doppler-Frequency-Shift (DFS) whi...
2102.12013
Jianfeng Chi
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
Understanding and Mitigating Accuracy Disparity in Regression
ICML 2021
null
null
null
cs.LG cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the widespread deployment of large-scale prediction systems in high-stakes domains, e.g., face recognition, criminal justice, etc., disparity in prediction accuracy between different demographic subgroups has called for fundamental understanding on the source of such disparity and algorithmic intervention to mit...
[ { "created": "Wed, 24 Feb 2021 01:24:50 GMT", "version": "v1" }, { "created": "Sun, 13 Jun 2021 01:41:56 GMT", "version": "v2" } ]
2021-06-15
[ [ "Chi", "Jianfeng", "" ], [ "Tian", "Yuan", "" ], [ "Gordon", "Geoffrey J.", "" ], [ "Zhao", "Han", "" ] ]
With the widespread deployment of large-scale prediction systems in high-stakes domains, e.g., face recognition, criminal justice, etc., disparity in prediction accuracy between different demographic subgroups has called for fundamental understanding on the source of such disparity and algorithmic intervention to mitig...
2103.06546
Li Fan
Fan Li, Yongming Li, Pin Wang, Jie Xiao, Fang Yan, Xinke Li
Integrated Age Estimation Mechanism
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine-learning-based age estimation has received lots of attention. Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation between the estimated age and real age due to disease. Pathological age estimation mechanism the author proposed before introduces age deviatio...
[ { "created": "Thu, 11 Mar 2021 09:14:10 GMT", "version": "v1" } ]
2021-03-12
[ [ "Li", "Fan", "" ], [ "Li", "Yongming", "" ], [ "Wang", "Pin", "" ], [ "Xiao", "Jie", "" ], [ "Yan", "Fang", "" ], [ "Li", "Xinke", "" ] ]
Machine-learning-based age estimation has received lots of attention. Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation between the estimated age and real age due to disease. Pathological age estimation mechanism the author proposed before introduces age deviation ...
2209.03726
Gabriel Kasmi
Gabriel Kasmi, Yves-Marie Saint-Drenan, David Trebosc, Rapha\"el Jolivet, Jonathan Leloux, Babacar Sarr, Laurent Dubus
A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata
12 pages, 3 figures, 7 tables, revised preprint resubmitted to Scientific Data
null
10.1038/s41597-023-01951-4
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale PV installations are deployed at an unprecedented pace, and their integration into the grid can be challenging since public authorities often lack quality data about them. Overhead imagery is increasingly used to improve th...
[ { "created": "Thu, 8 Sep 2022 11:42:53 GMT", "version": "v1" }, { "created": "Thu, 8 Dec 2022 13:38:57 GMT", "version": "v2" } ]
2023-02-01
[ [ "Kasmi", "Gabriel", "" ], [ "Saint-Drenan", "Yves-Marie", "" ], [ "Trebosc", "David", "" ], [ "Jolivet", "Raphaël", "" ], [ "Leloux", "Jonathan", "" ], [ "Sarr", "Babacar", "" ], [ "Dubus", "Laurent", "" ...
Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale PV installations are deployed at an unprecedented pace, and their integration into the grid can be challenging since public authorities often lack quality data about them. Overhead imagery is increasingly used to improve the ...
2311.13538
Zhicheng Yang
Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
8 pages, 6 figures
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Large Language Models prompting, such as using in-context demonstrations, is a mainstream technique for invoking LLMs to perform high-performance and solid complex reasoning (e.g., mathematical reasoning, commonsense reasoning), and has the potential for further human-machine collaborative scientific findings. Howeve...
[ { "created": "Wed, 22 Nov 2023 17:24:21 GMT", "version": "v1" }, { "created": "Wed, 10 Jan 2024 14:16:41 GMT", "version": "v2" }, { "created": "Sat, 27 Jan 2024 10:10:20 GMT", "version": "v3" }, { "created": "Sat, 13 Jul 2024 13:36:09 GMT", "version": "v4" } ]
2024-07-16
[ [ "Yang", "Zhicheng", "" ], [ "Huang", "Yinya", "" ], [ "Xiong", "Jing", "" ], [ "Feng", "Liang", "" ], [ "Liang", "Xiaodan", "" ], [ "Wang", "Yiwei", "" ], [ "Tang", "Jing", "" ] ]
Large Language Models prompting, such as using in-context demonstrations, is a mainstream technique for invoking LLMs to perform high-performance and solid complex reasoning (e.g., mathematical reasoning, commonsense reasoning), and has the potential for further human-machine collaborative scientific findings. However,...
1904.10885
Martino Borello
Martino Borello and Wolfgang Willems
Group codes over fields are asymptotically good
8 pages
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Group codes are right or left ideals in a group algebra of a finite group over a finite field. Following ideas of Bazzi and Mitter on group codes over the binary field, we prove that group codes over finite fields of any characteristic are asymptotically good.
[ { "created": "Wed, 24 Apr 2019 15:53:46 GMT", "version": "v1" }, { "created": "Mon, 20 Jan 2020 13:53:40 GMT", "version": "v2" } ]
2020-01-22
[ [ "Borello", "Martino", "" ], [ "Willems", "Wolfgang", "" ] ]
Group codes are right or left ideals in a group algebra of a finite group over a finite field. Following ideas of Bazzi and Mitter on group codes over the binary field, we prove that group codes over finite fields of any characteristic are asymptotically good.
2211.06344
Wenjun Jiang
Wenjun Jiang and Xiaojun Yuan
Simultaneous Active and Passive Information Transfer for RIS-Aided MIMO Systems: Iterative Decoding and Evolution Analysis
15 pages, 7 figures
null
10.1109/TSP.2023.3272728
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the potential of reconfigurable intelligent surface (RIS) for passive information transfer in a RIS-aided multiple-input multiple-output (MIMO) system. We propose a novel simultaneous active and passive information transfer (SAPIT) scheme. In SAPIT, the transmitter (Tx) and the RIS deliver inf...
[ { "created": "Fri, 11 Nov 2022 16:45:01 GMT", "version": "v1" }, { "created": "Thu, 27 Apr 2023 03:46:23 GMT", "version": "v2" }, { "created": "Mon, 1 May 2023 02:59:29 GMT", "version": "v3" } ]
2023-05-31
[ [ "Jiang", "Wenjun", "" ], [ "Yuan", "Xiaojun", "" ] ]
This paper investigates the potential of reconfigurable intelligent surface (RIS) for passive information transfer in a RIS-aided multiple-input multiple-output (MIMO) system. We propose a novel simultaneous active and passive information transfer (SAPIT) scheme. In SAPIT, the transmitter (Tx) and the RIS deliver infor...
1303.6541
Kai Su
Kai Su, Dan Zhang, Narayan B. Mandayam
Dynamic Radio Resource Management for Random Network Coding: Power Control and CSMA Backoff Control
28 pages, 9 figures. Submitted to IEEE Transactions on Wireless Communications
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Resource allocation in wireless networks typically occurs at PHY/MAC layers, while random network coding (RNC) is a network layer strategy. An interesting question is how resource allocation mechanisms can be tuned to improve RNC performance. By means of a differential equation framework which models RNC throughput i...
[ { "created": "Tue, 26 Mar 2013 16:17:07 GMT", "version": "v1" } ]
2013-03-27
[ [ "Su", "Kai", "" ], [ "Zhang", "Dan", "" ], [ "Mandayam", "Narayan B.", "" ] ]
Resource allocation in wireless networks typically occurs at PHY/MAC layers, while random network coding (RNC) is a network layer strategy. An interesting question is how resource allocation mechanisms can be tuned to improve RNC performance. By means of a differential equation framework which models RNC throughput in ...
1904.04620
Jiwoong Choi
Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
ICCV 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of object detection algorithms is becoming increasingly important in autonomous vehicles, and object detection at high accuracy and a fast inference speed is essential for safe autonomous driving. A false positive (FP) from a false localization during autonomous driving can lead to fatal accidents and hinder ...
[ { "created": "Tue, 9 Apr 2019 12:23:55 GMT", "version": "v1" }, { "created": "Mon, 12 Aug 2019 11:11:02 GMT", "version": "v2" } ]
2019-08-13
[ [ "Choi", "Jiwoong", "" ], [ "Chun", "Dayoung", "" ], [ "Kim", "Hyun", "" ], [ "Lee", "Hyuk-Jae", "" ] ]
The use of object detection algorithms is becoming increasingly important in autonomous vehicles, and object detection at high accuracy and a fast inference speed is essential for safe autonomous driving. A false positive (FP) from a false localization during autonomous driving can lead to fatal accidents and hinder sa...
2310.12131
Dwaipayan Roy
Subinay Adhikary, Sagnik Das, Sagnik Saha, Procheta Sen, Dwaipayan Roy, Kripabandhu Ghosh
Automated Attribute Extraction from Legal Proceedings
Presented in Mining and Learning in the Legal Domain (MLLD) workshop 2023
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
The escalating number of pending cases is a growing concern world-wide. Recent advancements in digitization have opened up possibilities for leveraging artificial intelligence (AI) tools in the processing of legal documents. Adopting a structured representation for legal documents, as opposed to a mere bag-of-words f...
[ { "created": "Wed, 18 Oct 2023 17:41:28 GMT", "version": "v1" } ]
2023-10-19
[ [ "Adhikary", "Subinay", "" ], [ "Das", "Sagnik", "" ], [ "Saha", "Sagnik", "" ], [ "Sen", "Procheta", "" ], [ "Roy", "Dwaipayan", "" ], [ "Ghosh", "Kripabandhu", "" ] ]
The escalating number of pending cases is a growing concern world-wide. Recent advancements in digitization have opened up possibilities for leveraging artificial intelligence (AI) tools in the processing of legal documents. Adopting a structured representation for legal documents, as opposed to a mere bag-of-words fla...
2107.11777
Yujie Tang
Yujie Tang, Liang Hu, Qingrui Zhang and Wei Pan
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
This paper has been accepted by IROS 2021
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Inertial measurement units are widely used in different fields to estimate the attitude. Many algorithms have been proposed to improve estimation performance. However, most of them still suffer from 1) inaccurate initial estimation, 2) inaccurate initial filter gain, and 3) non-Gaussian process and/or measurement noi...
[ { "created": "Sun, 25 Jul 2021 10:39:32 GMT", "version": "v1" }, { "created": "Tue, 27 Jul 2021 16:14:29 GMT", "version": "v2" } ]
2021-07-28
[ [ "Tang", "Yujie", "" ], [ "Hu", "Liang", "" ], [ "Zhang", "Qingrui", "" ], [ "Pan", "Wei", "" ] ]
Inertial measurement units are widely used in different fields to estimate the attitude. Many algorithms have been proposed to improve estimation performance. However, most of them still suffer from 1) inaccurate initial estimation, 2) inaccurate initial filter gain, and 3) non-Gaussian process and/or measurement noise...
0912.5079
Travis Gagie
Travis Gagie
A Lower Bound on the Complexity of Approximating the Entropy of a Markov Source
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Suppose that, for any (k \geq 1), (\epsilon > 0) and sufficiently large $\sigma$, we are given a black box that allows us to sample characters from a $k$th-order Markov source over the alphabet (\{0, ..., \sigma - 1\}). Even if we know the source has entropy either 0 or at least (\log (\sigma - k)), there is still no...
[ { "created": "Sun, 27 Dec 2009 14:39:30 GMT", "version": "v1" } ]
2009-12-31
[ [ "Gagie", "Travis", "" ] ]
Suppose that, for any (k \geq 1), (\epsilon > 0) and sufficiently large $\sigma$, we are given a black box that allows us to sample characters from a $k$th-order Markov source over the alphabet (\{0, ..., \sigma - 1\}). Even if we know the source has entropy either 0 or at least (\log (\sigma - k)), there is still no a...
1310.5474
Safeeullah Soomro
Syed Asif Ali, Safeeullah Soomro, Abdul Ghafoor Memon and Abdul Baqi
Implementation of Automata Theory to Improve the Learning Disability
null
Sindh Univ. Res. Jour. (Sci. Ser.) Vol. 45 (1):1193-196 (2013)
null
null
cs.CY
http://creativecommons.org/licenses/by/3.0/
There are various types of disability egress in world like blindness, deafness, and Physical disabilities. It is quite difficult to deal with people with disability. Learning disability (LD) is types of disability totally different from general disability. To deal children with learning disability is difficult for bo...
[ { "created": "Mon, 21 Oct 2013 09:25:19 GMT", "version": "v1" } ]
2013-10-22
[ [ "Ali", "Syed Asif", "" ], [ "Soomro", "Safeeullah", "" ], [ "Memon", "Abdul Ghafoor", "" ], [ "Baqi", "Abdul", "" ] ]
There are various types of disability egress in world like blindness, deafness, and Physical disabilities. It is quite difficult to deal with people with disability. Learning disability (LD) is types of disability totally different from general disability. To deal children with learning disability is difficult for both...
1410.4954
Mohammad Mansour
Mohammad M. Mansour
Pruned Bit-Reversal Permutations: Mathematical Characterization, Fast Algorithms and Architectures
31 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A mathematical characterization of serially-pruned permutations (SPPs) employed in variable-length permuters and their associated fast pruning algorithms and architectures are proposed. Permuters are used in many signal processing systems for shuffling data and in communication systems as an adjunct to coding for err...
[ { "created": "Sat, 18 Oct 2014 13:03:19 GMT", "version": "v1" } ]
2014-10-21
[ [ "Mansour", "Mohammad M.", "" ] ]
A mathematical characterization of serially-pruned permutations (SPPs) employed in variable-length permuters and their associated fast pruning algorithms and architectures are proposed. Permuters are used in many signal processing systems for shuffling data and in communication systems as an adjunct to coding for error...
2405.16064
Kaituo Feng
Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
Accepted by ICML 2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Chain-of-thought distillation is a powerful technique for transferring reasoning abilities from large language models (LLMs) to smaller student models. Previous methods typically require the student to mimic the step-by-step rationale produced by LLMs, often facing the following challenges: (i) Tokens within a ration...
[ { "created": "Sat, 25 May 2024 05:27:38 GMT", "version": "v1" } ]
2024-05-28
[ [ "Feng", "Kaituo", "" ], [ "Li", "Changsheng", "" ], [ "Zhang", "Xiaolu", "" ], [ "Zhou", "Jun", "" ], [ "Yuan", "Ye", "" ], [ "Wang", "Guoren", "" ] ]
Chain-of-thought distillation is a powerful technique for transferring reasoning abilities from large language models (LLMs) to smaller student models. Previous methods typically require the student to mimic the step-by-step rationale produced by LLMs, often facing the following challenges: (i) Tokens within a rational...
2211.15602
Ritesh Goenka
Ritesh Goenka, Eashan Gupta, Sushil Khyalia, Pratyush Agarwal, Mulinti Shaik Wajid, Shivaram Kalyanakrishnan
Upper Bounds for All and Max-gain Policy Iteration Algorithms on Deterministic MDPs
Added new bounds for two state MDPs
null
null
null
cs.DM cs.CC math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Policy Iteration (PI) is a widely used family of algorithms to compute optimal policies for Markov Decision Problems (MDPs). We derive upper bounds on the running time of PI on Deterministic MDPs (DMDPs): the class of MDPs in which every state-action pair has a unique next state. Our results include a non-trivial upp...
[ { "created": "Mon, 28 Nov 2022 17:56:30 GMT", "version": "v1" }, { "created": "Sun, 8 Oct 2023 20:19:31 GMT", "version": "v2" } ]
2023-10-10
[ [ "Goenka", "Ritesh", "" ], [ "Gupta", "Eashan", "" ], [ "Khyalia", "Sushil", "" ], [ "Agarwal", "Pratyush", "" ], [ "Wajid", "Mulinti Shaik", "" ], [ "Kalyanakrishnan", "Shivaram", "" ] ]
Policy Iteration (PI) is a widely used family of algorithms to compute optimal policies for Markov Decision Problems (MDPs). We derive upper bounds on the running time of PI on Deterministic MDPs (DMDPs): the class of MDPs in which every state-action pair has a unique next state. Our results include a non-trivial upper...
2401.04334
Yiwei Li
Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, and Shu Zhang
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension capabilities to formulate precise and efficient action plans based on natural l...
[ { "created": "Tue, 9 Jan 2024 03:22:16 GMT", "version": "v1" } ]
2024-01-10
[ [ "Wang", "Jiaqi", "" ], [ "Wu", "Zihao", "" ], [ "Li", "Yiwei", "" ], [ "Jiang", "Hanqi", "" ], [ "Shu", "Peng", "" ], [ "Shi", "Enze", "" ], [ "Hu", "Huawen", "" ], [ "Ma", "Chong", "" ], ...
Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension capabilities to formulate precise and efficient action plans based on natural lan...
2110.06135
Marc-Andre Schulz
Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort, Ga\"el Varoquaux, Danilo Bzdok
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
Accepted at NIPS 2017 Workshop on Machine Learning for Health
null
null
null
cs.LG q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-quality data accumulation is now becoming ubiquitous in the health domain. There is increasing opportunity to exploit rich data from normal subjects to improve supervised estimators in specific diseases with notorious data scarcity. We demonstrate that low-dimensional embedding spaces can be derived from the UK ...
[ { "created": "Tue, 12 Oct 2021 16:25:50 GMT", "version": "v1" } ]
2021-10-13
[ [ "Schulz", "Marc-Andre", "" ], [ "Thirion", "Bertrand", "" ], [ "Gramfort", "Alexandre", "" ], [ "Varoquaux", "Gaël", "" ], [ "Bzdok", "Danilo", "" ] ]
High-quality data accumulation is now becoming ubiquitous in the health domain. There is increasing opportunity to exploit rich data from normal subjects to improve supervised estimators in specific diseases with notorious data scarcity. We demonstrate that low-dimensional embedding spaces can be derived from the UK Bi...
2205.06356
Kabir Ahuja
Kabir Ahuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages
NLP Power! Workshop, ACL 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Although recent Massively Multilingual Language Models (MMLMs) like mBERT and XLMR support around 100 languages, most existing multilingual NLP benchmarks provide evaluation data in only a handful of these languages with little linguistic diversity. We argue that this makes the existing practices in multilingual eval...
[ { "created": "Thu, 12 May 2022 20:42:48 GMT", "version": "v1" }, { "created": "Mon, 14 Nov 2022 16:10:01 GMT", "version": "v2" } ]
2022-11-15
[ [ "Ahuja", "Kabir", "" ], [ "Dandapat", "Sandipan", "" ], [ "Sitaram", "Sunayana", "" ], [ "Choudhury", "Monojit", "" ] ]
Although recent Massively Multilingual Language Models (MMLMs) like mBERT and XLMR support around 100 languages, most existing multilingual NLP benchmarks provide evaluation data in only a handful of these languages with little linguistic diversity. We argue that this makes the existing practices in multilingual evalua...
2401.13905
Thomas Lippincott
Hale Sirin, Tom Lippincott
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses
Accepted to LaTeCH@EACL2024
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin. We demonstrate several methods for finding and characterizing patterns in the output, and relating them to traditional scholarshi...
[ { "created": "Thu, 25 Jan 2024 02:50:03 GMT", "version": "v1" } ]
2024-01-26
[ [ "Sirin", "Hale", "" ], [ "Lippincott", "Tom", "" ] ]
We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin. We demonstrate several methods for finding and characterizing patterns in the output, and relating them to traditional scholarship ...
2311.14136
Ana Fern\'andez Vilas
Carlos Beis-Penedo and Francisco Troncoso-Pastoriza and Rebeca P. D\'iaz-Redondo and Ana Fern\'andez-Vilas and Manuel Fern\'andez-Veiga and Mart\'in Gonz\'alez Soto
A Blockchain Solution for Collaborative Machine Learning over IoT
null
null
null
null
cs.LG cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid growth of Internet of Things (IoT) devices and applications has led to an increased demand for advanced analytics and machine learning techniques capable of handling the challenges associated with data privacy, security, and scalability. Federated learning (FL) and blockchain technologies have emerged as pr...
[ { "created": "Thu, 23 Nov 2023 18:06:05 GMT", "version": "v1" } ]
2023-11-27
[ [ "Beis-Penedo", "Carlos", "" ], [ "Troncoso-Pastoriza", "Francisco", "" ], [ "Díaz-Redondo", "Rebeca P.", "" ], [ "Fernández-Vilas", "Ana", "" ], [ "Fernández-Veiga", "Manuel", "" ], [ "Soto", "Martín González", "" ] ]
The rapid growth of Internet of Things (IoT) devices and applications has led to an increased demand for advanced analytics and machine learning techniques capable of handling the challenges associated with data privacy, security, and scalability. Federated learning (FL) and blockchain technologies have emerged as prom...
2002.07775
Jeena Kleenankandy
Jeena Kleenankandy, K. A. Abdul Nazeer (Department of Computer Science and Engineering, National Institute of Technology Calicut, Kerala, India)
An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies
Accepted manuscript submitted to Journal of Information Processing and Management ( Elsevier ) on June 11, 2020
Information Processing & Management, Elsevier (2020)
10.1016/j.ipm.2020.102362
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tree-based Long short term memory (LSTM) network has become state-of-the-art for modeling the meaning of language texts as they can effectively exploit the grammatical syntax and thereby non-linear dependencies among words of the sentence. However, most of these models cannot recognize the difference in meaning cause...
[ { "created": "Tue, 18 Feb 2020 18:10:03 GMT", "version": "v1" }, { "created": "Fri, 25 Sep 2020 09:45:26 GMT", "version": "v2" } ]
2020-09-28
[ [ "Kleenankandy", "Jeena", "", "Department of Computer Science\n and Engineering, National Institute of Technology Calicut, Kerala, India" ], [ "Nazeer", "K. A. Abdul", "", "Department of Computer Science\n and Engineering, National Institute of Technology Calicut, Kerala, Indi...
Tree-based Long short term memory (LSTM) network has become state-of-the-art for modeling the meaning of language texts as they can effectively exploit the grammatical syntax and thereby non-linear dependencies among words of the sentence. However, most of these models cannot recognize the difference in meaning caused ...
1410.0277
Christian H\"ager
Christian H\"ager, Alexandre Graell i Amat, Fredrik Br\"annstr\"om, Alex Alvarado, Erik Agrell
Terminated and Tailbiting Spatially-Coupled Codes with Optimized Bit Mappings for Spectrally Efficient Fiber-Optical Systems
This paper has been accepted for publication in the IEEE/OSA Journal of Lightwave Technology
IEEE/OSA Journal of Lightwave Technology, vol. 33, no. 7, pp. 1275-1285 Apr. 2015 [invited]
10.1109/JLT.2015.2390596
null
cs.IT math.IT physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the design of spectrally efficient fiber-optical communication systems based on different spatially coupled (SC) forward error correction (FEC) schemes. In particular, we optimize the allocation of the coded bits from the FEC encoder to the modulation bits of the signal constellation. Two SC code classes are...
[ { "created": "Wed, 1 Oct 2014 16:30:21 GMT", "version": "v1" }, { "created": "Thu, 8 Jan 2015 16:19:29 GMT", "version": "v2" } ]
2024-01-30
[ [ "Häger", "Christian", "" ], [ "Amat", "Alexandre Graell i", "" ], [ "Brännström", "Fredrik", "" ], [ "Alvarado", "Alex", "" ], [ "Agrell", "Erik", "" ] ]
We study the design of spectrally efficient fiber-optical communication systems based on different spatially coupled (SC) forward error correction (FEC) schemes. In particular, we optimize the allocation of the coded bits from the FEC encoder to the modulation bits of the signal constellation. Two SC code classes are c...
1705.07807
Piotr Mardziel
Anupam Datta, Matthew Fredrikson, Gihyuk Ko, Piotr Mardziel, Shayak Sen
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
extended CCS 2017 camera-ready: several new discussions, and complexity results added to appendix
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an approach to formalizing and enforcing a class of use privacy properties in data-driven systems. In contrast to prior work, we focus on use restrictions on proxies (i.e. strong predictors) of protected information types. Our definition relates proxy use to intermediate computations that occur in...
[ { "created": "Mon, 22 May 2017 15:28:43 GMT", "version": "v1" }, { "created": "Wed, 24 May 2017 03:46:13 GMT", "version": "v2" }, { "created": "Thu, 7 Sep 2017 06:36:33 GMT", "version": "v3" } ]
2017-09-08
[ [ "Datta", "Anupam", "" ], [ "Fredrikson", "Matthew", "" ], [ "Ko", "Gihyuk", "" ], [ "Mardziel", "Piotr", "" ], [ "Sen", "Shayak", "" ] ]
This paper presents an approach to formalizing and enforcing a class of use privacy properties in data-driven systems. In contrast to prior work, we focus on use restrictions on proxies (i.e. strong predictors) of protected information types. Our definition relates proxy use to intermediate computations that occur in a...
2405.17329
Wei Xu
Yaqiong Zhao, Jindan Xu, Wei Xu,Kezhi Wang, Xinquan Ye, Chau Yuen and Xiaohu You
Joint MIMO Transceiver and Reflector Design for Reconfigurable Intelligent Surface-Assisted Communication
14 pages, 12 figures
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output communication system with multiple antennas at both the base station (BS) and the user. We plan to maximize the achievable rate through jointly optimizing the transmit precoding matrix, the receive combining ...
[ { "created": "Mon, 27 May 2024 16:28:37 GMT", "version": "v1" } ]
2024-05-28
[ [ "Zhao", "Yaqiong", "" ], [ "Xu", "Jindan", "" ], [ "Xu", "Wei", "" ], [ "Wang", "Kezhi", "" ], [ "Ye", "Xinquan", "" ], [ "Yuen", "Chau", "" ], [ "You", "Xiaohu", "" ] ]
In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output communication system with multiple antennas at both the base station (BS) and the user. We plan to maximize the achievable rate through jointly optimizing the transmit precoding matrix, the receive combining ma...
1312.7570
Stefan Mathe
Stefan Mathe, Cristian Sminchisescu
Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach to recognition is not inconsistent with visual processing in biologi...
[ { "created": "Sun, 29 Dec 2013 18:49:04 GMT", "version": "v1" } ]
2013-12-31
[ [ "Mathe", "Stefan", "" ], [ "Sminchisescu", "Cristian", "" ] ]
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach to recognition is not inconsistent with visual processing in biologica...
2106.14274
Zhiqin Chen
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Learning Mesh Representations via Binary Space Partitioning Tree Networks
Accepted to TPAMI. This is the extended journal version of BSP-Net (arXiv:1911.06971) from CVPR 2020
null
10.1109/TPAMI.2021.3093440
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polygonal meshes are ubiquitous, but have only played a relatively minor role in the deep learning revolution. State-of-the-art neural generative models for 3D shapes learn implicit functions and generate meshes via expensive iso-surfacing. We overcome these challenges by employing a classical spatial data structure ...
[ { "created": "Sun, 27 Jun 2021 16:37:54 GMT", "version": "v1" }, { "created": "Fri, 2 Jul 2021 00:24:22 GMT", "version": "v2" } ]
2021-07-05
[ [ "Chen", "Zhiqin", "" ], [ "Tagliasacchi", "Andrea", "" ], [ "Zhang", "Hao", "" ] ]
Polygonal meshes are ubiquitous, but have only played a relatively minor role in the deep learning revolution. State-of-the-art neural generative models for 3D shapes learn implicit functions and generate meshes via expensive iso-surfacing. We overcome these challenges by employing a classical spatial data structure fr...
2301.11899
Shvetank Prakash
Shvetank Prakash, Matthew Stewart, Colby Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers
Communications of the ACM (CACM) November 2023 Issue
null
null
null
cs.LG cs.AR cs.CY
http://creativecommons.org/licenses/by/4.0/
The sustained growth of carbon emissions and global waste elicits significant sustainability concerns for our environment's future. The growing Internet of Things (IoT) has the potential to exacerbate this issue. However, an emerging area known as Tiny Machine Learning (TinyML) has the opportunity to help address the...
[ { "created": "Fri, 27 Jan 2023 18:23:10 GMT", "version": "v1" }, { "created": "Fri, 19 May 2023 17:54:49 GMT", "version": "v2" }, { "created": "Tue, 21 Nov 2023 11:24:29 GMT", "version": "v3" } ]
2023-11-22
[ [ "Prakash", "Shvetank", "" ], [ "Stewart", "Matthew", "" ], [ "Banbury", "Colby", "" ], [ "Mazumder", "Mark", "" ], [ "Warden", "Pete", "" ], [ "Plancher", "Brian", "" ], [ "Reddi", "Vijay Janapa", "" ] ]
The sustained growth of carbon emissions and global waste elicits significant sustainability concerns for our environment's future. The growing Internet of Things (IoT) has the potential to exacerbate this issue. However, an emerging area known as Tiny Machine Learning (TinyML) has the opportunity to help address these...
2312.13558
Dipendra Misra
Pratyusha Sharma, Jordan T. Ash and Dipendra Misra
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
null
null
null
null
cs.LG cs.AI cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transformer-based Large Language Models (LLMs) have become a fixture in modern machine learning. Correspondingly, significant resources are allocated towards research that aims to further advance this technology, typically resulting in models of increasing size that are trained on increasing amounts of data. This wor...
[ { "created": "Thu, 21 Dec 2023 03:51:08 GMT", "version": "v1" } ]
2023-12-22
[ [ "Sharma", "Pratyusha", "" ], [ "Ash", "Jordan T.", "" ], [ "Misra", "Dipendra", "" ] ]
Transformer-based Large Language Models (LLMs) have become a fixture in modern machine learning. Correspondingly, significant resources are allocated towards research that aims to further advance this technology, typically resulting in models of increasing size that are trained on increasing amounts of data. This work,...
2112.13023
Miroslav Fil
Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal
DARTS without a Validation Set: Optimizing the Marginal Likelihood
Presented at the 5th Workshop on Meta-Learning at NeurIPS 2021
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The success of neural architecture search (NAS) has historically been limited by excessive compute requirements. While modern weight-sharing NAS methods such as DARTS are able to finish the search in single-digit GPU days, extracting the final best architecture from the shared weights is notoriously unreliable. Train...
[ { "created": "Fri, 24 Dec 2021 10:16:38 GMT", "version": "v1" } ]
2021-12-28
[ [ "Fil", "Miroslav", "" ], [ "Ru", "Binxin", "" ], [ "Lyle", "Clare", "" ], [ "Gal", "Yarin", "" ] ]
The success of neural architecture search (NAS) has historically been limited by excessive compute requirements. While modern weight-sharing NAS methods such as DARTS are able to finish the search in single-digit GPU days, extracting the final best architecture from the shared weights is notoriously unreliable. Trainin...
1711.06841
Eli (Omid) David
Eli David, Moshe Koppel, Nathan S. Netanyahu
Expert-Driven Genetic Algorithms for Simulating Evaluation Functions
arXiv admin note: substantial text overlap with arXiv:1711.06839, arXiv:1711.06840
Genetic Programming and Evolvable Machines, Vol. 12, No. 1, pp. 5-22, March 2011
10.1007/s10710-010-9103-4
null
cs.NE cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess. Our results show that using an appropriate expert (or mentor), we can evolve a program that is on par with top tournament-playing chess programs, outperforming a two-time World C...
[ { "created": "Sat, 18 Nov 2017 10:22:49 GMT", "version": "v1" } ]
2017-11-21
[ [ "David", "Eli", "" ], [ "Koppel", "Moshe", "" ], [ "Netanyahu", "Nathan S.", "" ] ]
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess. Our results show that using an appropriate expert (or mentor), we can evolve a program that is on par with top tournament-playing chess programs, outperforming a two-time World Com...
1409.8580
Udo Schilcher
Udo Schilcher, Stavros Toumpis, Martin Haenggi, Alessandro Crismani, G\"unther Brandner, Christian Bettstetter
Interference Functionals in Poisson Networks
null
IEEE Transactions on Information Theory, vol. 62, no. 1, pp. 370-383, Jan. 2016
10.1109/TIT.2015.2501799
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose and prove a theorem that allows the calculation of a class of functionals on Poisson point processes that have the form of expected values of sum-products of functions. In proving the theorem, we present a variant of the Campbell-Mecke theorem from stochastic geometry. We proceed to apply our result in the...
[ { "created": "Tue, 30 Sep 2014 15:00:22 GMT", "version": "v1" }, { "created": "Mon, 8 Jun 2015 09:35:03 GMT", "version": "v2" } ]
2018-06-05
[ [ "Schilcher", "Udo", "" ], [ "Toumpis", "Stavros", "" ], [ "Haenggi", "Martin", "" ], [ "Crismani", "Alessandro", "" ], [ "Brandner", "Günther", "" ], [ "Bettstetter", "Christian", "" ] ]
We propose and prove a theorem that allows the calculation of a class of functionals on Poisson point processes that have the form of expected values of sum-products of functions. In proving the theorem, we present a variant of the Campbell-Mecke theorem from stochastic geometry. We proceed to apply our result in the c...