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1503.05882
Qinqin Chen
Jiadi Chen, Qiang Zheng, Hang Long, Wenbo Wang
Divisible Load Scheduling in Mobile Grid based on Stackelberg Pricing Game
5 pages, 3 figures, conference
null
null
null
cs.DC cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, it has become feasible to use mobile nodes as contributing entities in computing systems. In this paper, we consider a computational grid in which the mobile devices can share their idle resources to realize parallel processing. The overall computing task can be arbitrarily partitioned into multiple subtask...
[ { "created": "Wed, 18 Mar 2015 02:52:18 GMT", "version": "v1" } ]
2015-03-20
[ [ "Chen", "Jiadi", "" ], [ "Zheng", "Qiang", "" ], [ "Long", "Hang", "" ], [ "Wang", "Wenbo", "" ] ]
Nowadays, it has become feasible to use mobile nodes as contributing entities in computing systems. In this paper, we consider a computational grid in which the mobile devices can share their idle resources to realize parallel processing. The overall computing task can be arbitrarily partitioned into multiple subtasks ...
2203.02927
Armin Moin
Armin Moin, Ukrit Wattanavaekin, Alexandra Lungu, Moharram Challenger, Atta Badii, Stephan G\"unnemann
Enabling Automated Machine Learning for Model-Driven AI Engineering
Preliminary version
null
null
null
cs.SE cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Developing smart software services requires both Software Engineering and Artificial Intelligence (AI) skills. AI practitioners, such as data scientists often focus on the AI side, for example, creating and training Machine Learning (ML) models given a specific use case and data. They are typically not concerned with...
[ { "created": "Sun, 6 Mar 2022 10:12:56 GMT", "version": "v1" } ]
2022-03-08
[ [ "Moin", "Armin", "" ], [ "Wattanavaekin", "Ukrit", "" ], [ "Lungu", "Alexandra", "" ], [ "Challenger", "Moharram", "" ], [ "Badii", "Atta", "" ], [ "Günnemann", "Stephan", "" ] ]
Developing smart software services requires both Software Engineering and Artificial Intelligence (AI) skills. AI practitioners, such as data scientists often focus on the AI side, for example, creating and training Machine Learning (ML) models given a specific use case and data. They are typically not concerned with t...
2111.04665
Kumud Lakara
Kumud Lakara, Akshat Bhandari, Pratinav Seth and Ujjwal Verma
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data
6 pages, 3 figures, 4 tables
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Most machine learning models operate under the assumption that the training, testing and deployment data is independent and identically distributed (i.i.d.). This assumption doesn't generally hold true in a natural setting. Usually, the deployment data is subject to various types of distributional shifts. The magnitu...
[ { "created": "Mon, 8 Nov 2021 17:32:10 GMT", "version": "v1" }, { "created": "Mon, 13 Dec 2021 04:28:28 GMT", "version": "v2" } ]
2021-12-14
[ [ "Lakara", "Kumud", "" ], [ "Bhandari", "Akshat", "" ], [ "Seth", "Pratinav", "" ], [ "Verma", "Ujjwal", "" ] ]
Most machine learning models operate under the assumption that the training, testing and deployment data is independent and identically distributed (i.i.d.). This assumption doesn't generally hold true in a natural setting. Usually, the deployment data is subject to various types of distributional shifts. The magnitude...
2402.03163
Adrian-Gabriel Chifu
Adrian-Gabriel Chifu and S\'ebastien Fournier
Linguistic features for sentence difficulty prediction in ABSA
null
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the challenges of natural language understanding is to deal with the subjectivity of sentences, which may express opinions and emotions that add layers of complexity and nuance. Sentiment analysis is a field that aims to extract and analyze these subjective elements from text, and it can be applied at differen...
[ { "created": "Mon, 5 Feb 2024 16:31:03 GMT", "version": "v1" } ]
2024-02-06
[ [ "Chifu", "Adrian-Gabriel", "" ], [ "Fournier", "Sébastien", "" ] ]
One of the challenges of natural language understanding is to deal with the subjectivity of sentences, which may express opinions and emotions that add layers of complexity and nuance. Sentiment analysis is a field that aims to extract and analyze these subjective elements from text, and it can be applied at different ...
2006.05600
Thomas Hujsa
Thomas Hujsa, Bernard Berthomieu, Silvano Dal Zilio, Didier Le Botlan
Checking marking reachability with the state equation in Petri net subclasses
44 pages
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although decidable, the marking reachability problem for Petri nets is well-known to be intractable in general, and a non-elementary lower bound has been recently uncovered. In order to alleviate this difficulty, various structural and behavioral restrictions have been considered, allowing to relate reachability to p...
[ { "created": "Wed, 10 Jun 2020 01:26:18 GMT", "version": "v1" } ]
2020-06-11
[ [ "Hujsa", "Thomas", "" ], [ "Berthomieu", "Bernard", "" ], [ "Zilio", "Silvano Dal", "" ], [ "Botlan", "Didier Le", "" ] ]
Although decidable, the marking reachability problem for Petri nets is well-known to be intractable in general, and a non-elementary lower bound has been recently uncovered. In order to alleviate this difficulty, various structural and behavioral restrictions have been considered, allowing to relate reachability to pro...
2208.01317
Tim Puhlf\"ur{\ss}
Tim Puhlf\"ur{\ss}, Lloyd Montgomery, Walid Maalej
An Exploratory Study of Documentation Strategies for Product Features in Popular GitHub Projects
Accepted for the New Ideas and Emerging Results (NIER) track of the 38th IEEE International Conference on Software Maintenance and Evolution (ICSME)
null
10.1109/ICSME55016.2022.00043
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
[Background] In large open-source software projects, development knowledge is often fragmented across multiple artefacts and contributors such that individual stakeholders are generally unaware of the full breadth of the product features. However, users want to know what the software is capable of, while contributors...
[ { "created": "Tue, 2 Aug 2022 08:58:40 GMT", "version": "v1" } ]
2024-08-05
[ [ "Puhlfürß", "Tim", "" ], [ "Montgomery", "Lloyd", "" ], [ "Maalej", "Walid", "" ] ]
[Background] In large open-source software projects, development knowledge is often fragmented across multiple artefacts and contributors such that individual stakeholders are generally unaware of the full breadth of the product features. However, users want to know what the software is capable of, while contributors n...
2011.13604
Carole Adam
Elise Beck, Julie Dugdale, Carole Adam, Christelle Ga\"idatzis, Julius Ba\~ngate
A methodology for co-constructing an interdisciplinary model: from model to survey, from survey to model
19 pages
null
null
null
cs.CY cs.AI cs.MA
http://creativecommons.org/licenses/by/4.0/
How should computer science and social science collaborate to build a common model? How should they proceed to gather data that is really useful to the modelling? How can they design a survey that is tailored to the target model? This paper aims to answer those crucial questions in the framework of a multidisciplinar...
[ { "created": "Fri, 27 Nov 2020 08:41:47 GMT", "version": "v1" } ]
2020-11-30
[ [ "Beck", "Elise", "" ], [ "Dugdale", "Julie", "" ], [ "Adam", "Carole", "" ], [ "Gaïdatzis", "Christelle", "" ], [ "Bañgate", "Julius", "" ] ]
How should computer science and social science collaborate to build a common model? How should they proceed to gather data that is really useful to the modelling? How can they design a survey that is tailored to the target model? This paper aims to answer those crucial questions in the framework of a multidisciplinary ...
2403.18830
Philipp Matthes
Daniel Jeschor, Philipp Matthes, Thomas Springer, Sebastian Pape, Sven Fr\"ohlich
Cloudy with a Chance of Green: Measuring the Predictability of 18,009 Traffic Lights in Hamburg
Accepted for publication at IEEE IV 2024
null
10.1109/IV55156.2024.10588724
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Informing drivers about the predicted state of upcoming traffic lights is considered a key solution to reduce unneeded energy expenditure and dilemma zones at intersections. However, newer traffic lights can react to traffic demand, resulting in spontaneous switching behavior and poor predictability. To assess whethe...
[ { "created": "Thu, 1 Feb 2024 15:58:30 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2024 08:48:46 GMT", "version": "v2" } ]
2024-07-24
[ [ "Jeschor", "Daniel", "" ], [ "Matthes", "Philipp", "" ], [ "Springer", "Thomas", "" ], [ "Pape", "Sebastian", "" ], [ "Fröhlich", "Sven", "" ] ]
Informing drivers about the predicted state of upcoming traffic lights is considered a key solution to reduce unneeded energy expenditure and dilemma zones at intersections. However, newer traffic lights can react to traffic demand, resulting in spontaneous switching behavior and poor predictability. To assess whether ...
1410.1895
Lutz Bornmann Dr.
Lutz Bornmann
Measuring impact in research evaluations: A thorough discussion of methods for, effects of, and problems with impact measurements
Accepted for publication in Higher Education
null
null
null
cs.DL physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Impact of science is one of the most important topics in scientometrics. Recent developments show a fundamental change in impact measurements from impact on science to impact on society. Since impact measurement is currently in a state of far reaching changes, this paper describes recent developments and facing probl...
[ { "created": "Mon, 6 Oct 2014 06:31:36 GMT", "version": "v1" }, { "created": "Thu, 25 Jun 2015 13:58:51 GMT", "version": "v2" }, { "created": "Wed, 17 Feb 2016 07:44:18 GMT", "version": "v3" } ]
2016-02-18
[ [ "Bornmann", "Lutz", "" ] ]
Impact of science is one of the most important topics in scientometrics. Recent developments show a fundamental change in impact measurements from impact on science to impact on society. Since impact measurement is currently in a state of far reaching changes, this paper describes recent developments and facing problem...
0710.4660
EDA Publishing Association
W.-L. Hung, Y. Xie, N. Vijaykrishnan, M. Kandemir, M. J. Irwin
Thermal-Aware Task Allocation and Scheduling for Embedded Systems
Submitted on behalf of EDAA (http://www.edaa.com/)
Dans Design, Automation and Test in Europe - DATE'05, Munich : Allemagne (2005)
null
null
cs.AR
null
Temperature affects not only the reliability but also the performance, power, and cost of the embedded system. This paper proposes a thermal-aware task allocation and scheduling algorithm for embedded systems. The algorithm is used as a sub-routine for hardware/software co-synthesis to reduce the peak temperature and...
[ { "created": "Thu, 25 Oct 2007 08:36:55 GMT", "version": "v1" } ]
2011-11-09
[ [ "Hung", "W. -L.", "" ], [ "Xie", "Y.", "" ], [ "Vijaykrishnan", "N.", "" ], [ "Kandemir", "M.", "" ], [ "Irwin", "M. J.", "" ] ]
Temperature affects not only the reliability but also the performance, power, and cost of the embedded system. This paper proposes a thermal-aware task allocation and scheduling algorithm for embedded systems. The algorithm is used as a sub-routine for hardware/software co-synthesis to reduce the peak temperature and a...
1911.03637
Prasanth G.Narasimha-Shenoi
Prasanth G. Narasimha-Shenoi and Bijo S Anand and Mary Shalet T J
Boundary-type Sets of Strong Product of Directed Graphs
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $D=(V,E)$ be a strongly connected digraph and let $u ,v\in V(D)$. The maximum distance $md (u,v)$ is defined as\\ $md(u,v)$=max\{$\overrightarrow{d}(u,v), \overrightarrow{d}(v,u)$\} where $\overrightarrow{d}(u,v)$ denote the length of a shortest directed $u-v$ path in $D$. This is a metric. The boundary, contour,...
[ { "created": "Sat, 9 Nov 2019 07:52:53 GMT", "version": "v1" } ]
2019-11-12
[ [ "Narasimha-Shenoi", "Prasanth G.", "" ], [ "Anand", "Bijo S", "" ], [ "J", "Mary Shalet T", "" ] ]
Let $D=(V,E)$ be a strongly connected digraph and let $u ,v\in V(D)$. The maximum distance $md (u,v)$ is defined as\\ $md(u,v)$=max\{$\overrightarrow{d}(u,v), \overrightarrow{d}(v,u)$\} where $\overrightarrow{d}(u,v)$ denote the length of a shortest directed $u-v$ path in $D$. This is a metric. The boundary, contour, e...
2007.00801
Senthil Yogamani
Arindam Das, Pavel Krizek, Ganesh Sistu, Fabian Burger, Sankaralingam Madasamy, Michal Uricar, Varun Ravi Kumar, Senthil Yogamani
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
Accepted for Oral Presentation at IEEE Intelligent Transportation Systems Conference (ITSC) 2020
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water, snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling detection algorithm which will trigger an automatic cleaning system. Localized detection of soiling in an image is necessary to control the cl...
[ { "created": "Wed, 1 Jul 2020 23:00:47 GMT", "version": "v1" } ]
2020-07-03
[ [ "Das", "Arindam", "" ], [ "Krizek", "Pavel", "" ], [ "Sistu", "Ganesh", "" ], [ "Burger", "Fabian", "" ], [ "Madasamy", "Sankaralingam", "" ], [ "Uricar", "Michal", "" ], [ "Kumar", "Varun Ravi", "" ], ...
Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water, snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling detection algorithm which will trigger an automatic cleaning system. Localized detection of soiling in an image is necessary to control the clea...
1904.06128
Zhanna Sarsenbayeva
Zhanna Sarsenbayeva, Vassilis Kostakos, Jorge Goncalves
Situationally-Induced Impairments and Disabilities Research
Presented at the CHI'19 Workshop: Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction, 2019 (arXiv:1904.05382)
null
null
SIID/2019/no07
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research has shown that various environmental factors impact smartphone interaction and lead to Situationally-Induced Impairments and Disabilities. In this work we discuss the importance of thoroughly understanding the effects of these situational impairments on smartphone interaction. We argue that systematic invest...
[ { "created": "Fri, 12 Apr 2019 09:41:33 GMT", "version": "v1" } ]
2019-04-15
[ [ "Sarsenbayeva", "Zhanna", "" ], [ "Kostakos", "Vassilis", "" ], [ "Goncalves", "Jorge", "" ] ]
Research has shown that various environmental factors impact smartphone interaction and lead to Situationally-Induced Impairments and Disabilities. In this work we discuss the importance of thoroughly understanding the effects of these situational impairments on smartphone interaction. We argue that systematic investig...
2104.12668
Yihua Cheng
Yihua Cheng, Haofei Wang, Yiwei Bao and Feng Lu
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
Accepted by TPAMI
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human gaze provides valuable information on human focus and intentions, making it a crucial area of research. Recently, deep learning has revolutionized appearance-based gaze estimation. However, due to the unique features of gaze estimation research, such as the unfair comparison between 2D gaze positions and 3D gaz...
[ { "created": "Mon, 26 Apr 2021 15:53:03 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2024 16:17:13 GMT", "version": "v2" } ]
2024-04-25
[ [ "Cheng", "Yihua", "" ], [ "Wang", "Haofei", "" ], [ "Bao", "Yiwei", "" ], [ "Lu", "Feng", "" ] ]
Human gaze provides valuable information on human focus and intentions, making it a crucial area of research. Recently, deep learning has revolutionized appearance-based gaze estimation. However, due to the unique features of gaze estimation research, such as the unfair comparison between 2D gaze positions and 3D gaze ...
1902.01618
Enrico Terzi
Luca Bugliari Armenio, Enrico Terzi, Marcello Farina and Riccardo Scattolini
Echo State Networks: analysis, training and predictive control
6 pages,5 figures, submitted to European Control Conference (ECC)
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of this paper is to investigate the theoretical properties, the training algorithm, and the predictive control applications of Echo State Networks (ESNs), a particular kind of Recurrent Neural Networks. First, a condition guaranteeing incremetal global asymptotic stability is devised. Then, a modified traini...
[ { "created": "Tue, 5 Feb 2019 09:58:08 GMT", "version": "v1" } ]
2019-02-06
[ [ "Armenio", "Luca Bugliari", "" ], [ "Terzi", "Enrico", "" ], [ "Farina", "Marcello", "" ], [ "Scattolini", "Riccardo", "" ] ]
The goal of this paper is to investigate the theoretical properties, the training algorithm, and the predictive control applications of Echo State Networks (ESNs), a particular kind of Recurrent Neural Networks. First, a condition guaranteeing incremetal global asymptotic stability is devised. Then, a modified training...
2109.08755
Olivier Buffet
Yang You, Vincent Thomas, Francis Colas and Olivier Buffet
Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP
Extended version of ICTAI 2021 paper
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper looks at solving collaborative planning problems formalized as Decentralized POMDPs (Dec-POMDPs) by searching for Nash equilibria, i.e., situations where each agent's policy is a best response to the other agents' (fixed) policies. While the Joint Equilibrium-based Search for Policies (JESP) algorithm does...
[ { "created": "Fri, 17 Sep 2021 20:27:51 GMT", "version": "v1" } ]
2021-09-21
[ [ "You", "Yang", "" ], [ "Thomas", "Vincent", "" ], [ "Colas", "Francis", "" ], [ "Buffet", "Olivier", "" ] ]
This paper looks at solving collaborative planning problems formalized as Decentralized POMDPs (Dec-POMDPs) by searching for Nash equilibria, i.e., situations where each agent's policy is a best response to the other agents' (fixed) policies. While the Joint Equilibrium-based Search for Policies (JESP) algorithm does t...
1911.08271
Neeraj Bhanot Dr
Neeraj Bhanot, Harwinder Singh, Divyansu Sharma, Harshit Jain, Shreyansh Jain
Python vs. R: A Text Mining Approach for analyzing the Research Trends in Scopus Database
This study aims to help researchers by developing a Python based algorithm to analyse research trends using Scopus Database considering large amount of information in different domains as it will help the beginners to get fair enough idea of research being carried out in their fields of interest. A comparison w...
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the contemporary world, with the incubation of advanced technologies and tremendous outbursts of research works, analyzing big data to incorporate research strategies becomes more helpful using the tools and techniques presented in the current research scenario. This paper indeed tries to tackle the most prominent...
[ { "created": "Sun, 10 Nov 2019 13:53:20 GMT", "version": "v1" } ]
2019-11-20
[ [ "Bhanot", "Neeraj", "" ], [ "Singh", "Harwinder", "" ], [ "Sharma", "Divyansu", "" ], [ "Jain", "Harshit", "" ], [ "Jain", "Shreyansh", "" ] ]
In the contemporary world, with the incubation of advanced technologies and tremendous outbursts of research works, analyzing big data to incorporate research strategies becomes more helpful using the tools and techniques presented in the current research scenario. This paper indeed tries to tackle the most prominent c...
1510.01714
Jean Creusefond
Jean Creusefond, and Thomas Largillier, and Sylvain Peyronnet
On the evaluation potential of quality functions in community detection for different contexts
14 pages, 11 tables, Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016
null
10.1007/978-3-319-28361-6_9
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to nowadays networks' sizes, the evaluation of a community detection algorithm can only be done using quality functions. These functions measure different networks/graphs structural properties, each of them corresponding to a different definition of a community. Since there exists many definitions for a community...
[ { "created": "Tue, 6 Oct 2015 19:31:57 GMT", "version": "v1" }, { "created": "Wed, 27 Jan 2016 10:13:00 GMT", "version": "v2" } ]
2016-01-28
[ [ "Creusefond", "Jean", "" ], [ "Largillier", "Thomas", "" ], [ "Peyronnet", "Sylvain", "" ] ]
Due to nowadays networks' sizes, the evaluation of a community detection algorithm can only be done using quality functions. These functions measure different networks/graphs structural properties, each of them corresponding to a different definition of a community. Since there exists many definitions for a community, ...
1401.5234
Elodie Leducq
Elodie Leducq
On the third weight of generalized Reed-Muller codes
null
null
null
null
cs.IT math.IT math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the third weight of generalized Reed-Muller codes. We prove under some restrictive condition that the third weight of generalized Reed-Muller codes depends on the third weight of generalized Reed-Muller codes of small order with two variables. In some cases, we are able to determine the third ...
[ { "created": "Tue, 21 Jan 2014 09:38:33 GMT", "version": "v1" } ]
2014-01-22
[ [ "Leducq", "Elodie", "" ] ]
In this paper, we study the third weight of generalized Reed-Muller codes. We prove under some restrictive condition that the third weight of generalized Reed-Muller codes depends on the third weight of generalized Reed-Muller codes of small order with two variables. In some cases, we are able to determine the third we...
2301.01193
Gustavo Candela
Rafael C. Carrasco and Gustavo Candela and Manuel Marco-Such
Measuring the diversity of data and metadata in digital libraries
11 pages, 7 figures
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
Diversity indices have been traditionally used to capture the biodiversity of ecosystems by measuring the effective number of species or groups of species. In contrast to abundance, which is correlated with the amount of data available, diversity indices provide a more robust indicator on the variability of individua...
[ { "created": "Tue, 3 Jan 2023 16:49:31 GMT", "version": "v1" } ]
2023-01-04
[ [ "Carrasco", "Rafael C.", "" ], [ "Candela", "Gustavo", "" ], [ "Marco-Such", "Manuel", "" ] ]
Diversity indices have been traditionally used to capture the biodiversity of ecosystems by measuring the effective number of species or groups of species. In contrast to abundance, which is correlated with the amount of data available, diversity indices provide a more robust indicator on the variability of individuals...
2104.08850
Kemal Tugrul Yesilbek
Kemal Tugrul Yesilbek, T. Metin Sezgin
On Training Sketch Recognizers for New Domains
Accepted for The 1st Workshop on Sketch-Oriented Deep Learning (SketchDL) @ CVPR 2021
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sketch recognition algorithms are engineered and evaluated using publicly available datasets contributed by the sketch recognition community over the years. While existing datasets contain sketches of a limited set of generic objects, each new domain inevitably requires collecting new data for training domain specifi...
[ { "created": "Sun, 18 Apr 2021 13:24:49 GMT", "version": "v1" } ]
2021-04-20
[ [ "Yesilbek", "Kemal Tugrul", "" ], [ "Sezgin", "T. Metin", "" ] ]
Sketch recognition algorithms are engineered and evaluated using publicly available datasets contributed by the sketch recognition community over the years. While existing datasets contain sketches of a limited set of generic objects, each new domain inevitably requires collecting new data for training domain specific ...
1707.04245
Chris Fawcett
Chris Fawcett, Lars Kotthoff, Holger H. Hoos
Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers
11 pages, long version of a poster presented at CGO 2016
null
null
null
cs.PL cs.AI cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern software systems in many application areas offer to the user a multitude of parameters, switches and other customisation hooks. Humans tend to have difficulties determining the best configurations for particular applications. Modern optimising compilers are an example of such software systems; their many param...
[ { "created": "Tue, 11 Jul 2017 23:31:23 GMT", "version": "v1" } ]
2017-07-14
[ [ "Fawcett", "Chris", "" ], [ "Kotthoff", "Lars", "" ], [ "Hoos", "Holger H.", "" ] ]
Modern software systems in many application areas offer to the user a multitude of parameters, switches and other customisation hooks. Humans tend to have difficulties determining the best configurations for particular applications. Modern optimising compilers are an example of such software systems; their many paramet...
1910.13291
Ekaterina Artemova
Dmitry Popov and Alexander Pugachev and Polina Svyatokum and Elizaveta Svitanko and Ekaterina Artemova
Sentence Embeddings for Russian NLU
to appear in AIST2019
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
We investigate the performance of sentence embeddings models on several tasks for the Russian language. In our comparison, we include such tasks as multiple choice question answering, next sentence prediction, and paraphrase identification. We employ FastText embeddings as a baseline and compare it to ELMo and BERT e...
[ { "created": "Tue, 29 Oct 2019 14:28:34 GMT", "version": "v1" } ]
2019-10-30
[ [ "Popov", "Dmitry", "" ], [ "Pugachev", "Alexander", "" ], [ "Svyatokum", "Polina", "" ], [ "Svitanko", "Elizaveta", "" ], [ "Artemova", "Ekaterina", "" ] ]
We investigate the performance of sentence embeddings models on several tasks for the Russian language. In our comparison, we include such tasks as multiple choice question answering, next sentence prediction, and paraphrase identification. We employ FastText embeddings as a baseline and compare it to ELMo and BERT emb...
2305.12452
Yixuan Wu
Yixuan Wu, Zhao Zhang, Xie Chi, Feng Zhu, Rui Zhao
Advancing Referring Expression Segmentation Beyond Single Image
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Referring Expression Segmentation (RES) is a widely explored multi-modal task, which endeavors to segment the pre-existing object within a single image with a given linguistic expression. However, in broader real-world scenarios, it is not always possible to determine if the described object exists in a specific imag...
[ { "created": "Sun, 21 May 2023 13:14:28 GMT", "version": "v1" } ]
2023-05-23
[ [ "Wu", "Yixuan", "" ], [ "Zhang", "Zhao", "" ], [ "Chi", "Xie", "" ], [ "Zhu", "Feng", "" ], [ "Zhao", "Rui", "" ] ]
Referring Expression Segmentation (RES) is a widely explored multi-modal task, which endeavors to segment the pre-existing object within a single image with a given linguistic expression. However, in broader real-world scenarios, it is not always possible to determine if the described object exists in a specific image....
2305.00450
Huachuan Qiu
Huachuan Qiu, Hongliang He, Shuai Zhang, Anqi Li, Zhenzhong Lan
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
22 pages
null
null
null
cs.CL cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing specialized dialogue systems for mental health support requires multi-turn conversation data, which has recently garnered increasing attention. However, gathering and releasing large-scale and real-life multi-turn conversations to facilitate advancements in mental health presents challenges due to data pri...
[ { "created": "Sun, 30 Apr 2023 11:26:10 GMT", "version": "v1" }, { "created": "Thu, 22 Feb 2024 10:21:56 GMT", "version": "v2" } ]
2024-02-23
[ [ "Qiu", "Huachuan", "" ], [ "He", "Hongliang", "" ], [ "Zhang", "Shuai", "" ], [ "Li", "Anqi", "" ], [ "Lan", "Zhenzhong", "" ] ]
Developing specialized dialogue systems for mental health support requires multi-turn conversation data, which has recently garnered increasing attention. However, gathering and releasing large-scale and real-life multi-turn conversations to facilitate advancements in mental health presents challenges due to data priva...
1910.11292
Nadav Oved
Nadav Oved, Amir Feder, Roi Reichart
Predicting In-game Actions from Interviews of NBA Players
First two authors contributed equally. To be published in the Computational Linguistics journal. Code is available at: https://github.com/nadavo/mood
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sports competitions are widely researched in computer and social science, with the goal of understanding how players act under uncertainty. While there is an abundance of computational work on player metrics prediction based on past performance, very few attempts to incorporate out-of-game signals have been made. Spe...
[ { "created": "Thu, 24 Oct 2019 17:10:34 GMT", "version": "v1" }, { "created": "Fri, 25 Oct 2019 01:29:32 GMT", "version": "v2" }, { "created": "Wed, 1 Jul 2020 17:46:33 GMT", "version": "v3" } ]
2020-07-02
[ [ "Oved", "Nadav", "" ], [ "Feder", "Amir", "" ], [ "Reichart", "Roi", "" ] ]
Sports competitions are widely researched in computer and social science, with the goal of understanding how players act under uncertainty. While there is an abundance of computational work on player metrics prediction based on past performance, very few attempts to incorporate out-of-game signals have been made. Speci...
2112.01035
Shikun Feng
Weibin Li, Mingkai He, Zhengjie Huang, Xianming Wang, Shikun Feng, Weiyue Su, Yu Sun
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems
8 pages, 4 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In recent years, owing to the outstanding performance in graph representation learning, graph neural network (GNN) techniques have gained considerable interests in many real-world scenarios, such as recommender systems and social networks. In recommender systems, the main challenge is to learn the effective user/item...
[ { "created": "Thu, 2 Dec 2021 07:56:13 GMT", "version": "v1" }, { "created": "Wed, 8 Dec 2021 09:37:52 GMT", "version": "v2" } ]
2021-12-09
[ [ "Li", "Weibin", "" ], [ "He", "Mingkai", "" ], [ "Huang", "Zhengjie", "" ], [ "Wang", "Xianming", "" ], [ "Feng", "Shikun", "" ], [ "Su", "Weiyue", "" ], [ "Sun", "Yu", "" ] ]
In recent years, owing to the outstanding performance in graph representation learning, graph neural network (GNN) techniques have gained considerable interests in many real-world scenarios, such as recommender systems and social networks. In recommender systems, the main challenge is to learn the effective user/item r...
2204.00861
Jia Chen
Jia Chen, Di Wu, and Xin Luo
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
High-dimensional and sparse (HiDS) matrices are frequently adopted to describe the complex relationships in various big data-related systems and applications. A Position-transitional Latent Factor Analysis (PLFA) model can accurately and efficiently represent an HiDS matrix. However, its involved latent factors are o...
[ { "created": "Sat, 2 Apr 2022 13:41:19 GMT", "version": "v1" }, { "created": "Sat, 16 Apr 2022 15:28:07 GMT", "version": "v2" } ]
2022-04-19
[ [ "Chen", "Jia", "" ], [ "Wu", "Di", "" ], [ "Luo", "Xin", "" ] ]
High-dimensional and sparse (HiDS) matrices are frequently adopted to describe the complex relationships in various big data-related systems and applications. A Position-transitional Latent Factor Analysis (PLFA) model can accurately and efficiently represent an HiDS matrix. However, its involved latent factors are opt...
1312.0722
Yannis Moysoglou
Stavros G. Kolliopoulos and Yannis Moysoglou
Sherali-Adams gaps, flow-cover inequalities and generalized configurations for capacity-constrained Facility Location
arXiv admin note: substantial text overlap with arXiv:1305.5998
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Metric facility location is a well-studied problem for which linear programming methods have been used with great success in deriving approximation algorithms. The capacity-constrained generalizations, such as capacitated facility location (CFL) and lower-bounded facility location (LBFL), have proved notorious as far...
[ { "created": "Tue, 3 Dec 2013 07:46:57 GMT", "version": "v1" }, { "created": "Sat, 14 Jun 2014 07:05:56 GMT", "version": "v2" } ]
2014-06-17
[ [ "Kolliopoulos", "Stavros G.", "" ], [ "Moysoglou", "Yannis", "" ] ]
Metric facility location is a well-studied problem for which linear programming methods have been used with great success in deriving approximation algorithms. The capacity-constrained generalizations, such as capacitated facility location (CFL) and lower-bounded facility location (LBFL), have proved notorious as far a...
2304.03657
Kfir Girstein
Kfir Girstein, Eliron Rahimi, Prof. Avi Mendelson
SCART: Simulation of Cyber Attacks for Real-Time
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Real-Time systems are often implemented as reactive systems that respond to stimuli and complete tasks in a known bounded time. The development process of such systems usually involves using a cycle-accurate simulation environment and even the digital twine system that can accurately simulate the system and the envir...
[ { "created": "Fri, 7 Apr 2023 14:25:30 GMT", "version": "v1" } ]
2023-04-10
[ [ "Girstein", "Kfir", "" ], [ "Rahimi", "Eliron", "" ], [ "Mendelson", "Prof. Avi", "" ] ]
Real-Time systems are often implemented as reactive systems that respond to stimuli and complete tasks in a known bounded time. The development process of such systems usually involves using a cycle-accurate simulation environment and even the digital twine system that can accurately simulate the system and the environ...
2303.02141
Shiwei Liu
Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
We open-source SMC-Bench to assist researchers in building next-generation sparse algorithms that scale and generalize: https://github.com/VITA-Group/SMC-Bench
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Sparse Neural Networks (SNNs) have received voluminous attention predominantly due to growing computational and memory footprints of consistently exploding parameter count in large-scale models. Similar to their dense counterparts, recent SNNs generalize just as well and are equipped with numerous favorable benefits ...
[ { "created": "Fri, 3 Mar 2023 18:47:21 GMT", "version": "v1" } ]
2023-03-06
[ [ "Liu", "Shiwei", "" ], [ "Chen", "Tianlong", "" ], [ "Zhang", "Zhenyu", "" ], [ "Chen", "Xuxi", "" ], [ "Huang", "Tianjin", "" ], [ "Jaiswal", "Ajay", "" ], [ "Wang", "Zhangyang", "" ] ]
Sparse Neural Networks (SNNs) have received voluminous attention predominantly due to growing computational and memory footprints of consistently exploding parameter count in large-scale models. Similar to their dense counterparts, recent SNNs generalize just as well and are equipped with numerous favorable benefits (e...
1704.02286
Xavier Bellekens
Elike Hodo and Xavier Bellekens and Andrew Hamilton and Pierre-louis Dubouilh and Ephraim Iorkyase and Christos Tachtatzis and Robert Atkinson
Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System
Published in The 2016 International Symposium on Networks, Computers and Communications (IEEE ISNCC'16) , Hammamet, Tunisia, 2016
null
10.1109/ISNCC.2016.7746067
null
cs.NE cs.CR
http://creativecommons.org/licenses/by/4.0/
The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and automobiles. However as a paradigm, it is susceptible to a range of significant intrusion threats. This paper presents a threat analysis of the...
[ { "created": "Fri, 7 Apr 2017 16:40:13 GMT", "version": "v1" } ]
2017-04-10
[ [ "Hodo", "Elike", "" ], [ "Bellekens", "Xavier", "" ], [ "Hamilton", "Andrew", "" ], [ "Dubouilh", "Pierre-louis", "" ], [ "Iorkyase", "Ephraim", "" ], [ "Tachtatzis", "Christos", "" ], [ "Atkinson", "Robert", ...
The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and automobiles. However as a paradigm, it is susceptible to a range of significant intrusion threats. This paper presents a threat analysis of the I...
1911.02681
Anbang Wu
Anbang Wu, Shuangxi Chen, Chunming Wu
Generalized Transformation-based Gradient
There is some errors in the proof to the conclusion, therefore leading to untrusted conclusion, so I want to withdraw this paper
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The reparameterization trick has become one of the most useful tools in the field of variational inference. However, the reparameterization trick is based on the standardization transformation which restricts the scope of application of this method to distributions that have tractable inverse cumulative distribution ...
[ { "created": "Wed, 6 Nov 2019 23:40:12 GMT", "version": "v1" }, { "created": "Sat, 15 Feb 2020 01:30:21 GMT", "version": "v2" }, { "created": "Tue, 25 Feb 2020 10:38:09 GMT", "version": "v3" } ]
2020-02-26
[ [ "Wu", "Anbang", "" ], [ "Chen", "Shuangxi", "" ], [ "Wu", "Chunming", "" ] ]
The reparameterization trick has become one of the most useful tools in the field of variational inference. However, the reparameterization trick is based on the standardization transformation which restricts the scope of application of this method to distributions that have tractable inverse cumulative distribution fu...
2405.17862
Yu Chen
Yu Chen, Edoardo Patelli, Zhen Yang, Adolphus Lye
Towards robust prediction of material properties for nuclear reactor design under scarce data -- a study in creep rupture property
8 pages, submitted to REC 2024 (International Workshop on Reliable Engineering Computing)
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Advances in Deep Learning bring further investigation into credibility and robustness, especially for safety-critical engineering applications such as the nuclear industry. The key challenges include the availability of data set (often scarce and sparse) and insufficient consideration of the uncertainty in the data, ...
[ { "created": "Tue, 28 May 2024 06:20:14 GMT", "version": "v1" } ]
2024-05-29
[ [ "Chen", "Yu", "" ], [ "Patelli", "Edoardo", "" ], [ "Yang", "Zhen", "" ], [ "Lye", "Adolphus", "" ] ]
Advances in Deep Learning bring further investigation into credibility and robustness, especially for safety-critical engineering applications such as the nuclear industry. The key challenges include the availability of data set (often scarce and sparse) and insufficient consideration of the uncertainty in the data, mo...
1606.05545
David Vilares
David Vilares and Carlos G\'omez-Rodr\'iguez and Miguel A. Alonso
Universal, Unsupervised (Rule-Based), Uncovered Sentiment Analysis
19 pages, 5 Tables, 6 Figures. This is the authors version of a work that was accepted for publication in Knowledge-Based Systems
Knowledge-Based Systems, 118:45-55, 2017
10.1016/j.knosys.2016.11.014
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) the interpretability of their output, in contrast with most supervised models, which behave as a black box an...
[ { "created": "Fri, 17 Jun 2016 14:53:02 GMT", "version": "v1" }, { "created": "Thu, 5 Jan 2017 10:33:11 GMT", "version": "v2" } ]
2017-12-14
[ [ "Vilares", "David", "" ], [ "Gómez-Rodríguez", "Carlos", "" ], [ "Alonso", "Miguel A.", "" ] ]
We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) the interpretability of their output, in contrast with most supervised models, which behave as a black box and ...
2106.08068
Stefano Sarao Mannelli
Luca Saglietti, Stefano Sarao Mannelli, and Andrew Saxe
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Accepted to NeurIPS 2022
null
10.1088/1742-5468/ac9b3c
null
cs.LG cond-mat.dis-nn stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In humans and animals, curriculum learning -- presenting data in a curated order - is critical to rapid learning and effective pedagogy. Yet in machine learning, curricula are not widely used and empirically often yield only moderate benefits. This stark difference in the importance of curriculum raises a fundamental...
[ { "created": "Tue, 15 Jun 2021 11:48:52 GMT", "version": "v1" }, { "created": "Wed, 12 Oct 2022 09:30:50 GMT", "version": "v2" } ]
2022-12-07
[ [ "Saglietti", "Luca", "" ], [ "Mannelli", "Stefano Sarao", "" ], [ "Saxe", "Andrew", "" ] ]
In humans and animals, curriculum learning -- presenting data in a curated order - is critical to rapid learning and effective pedagogy. Yet in machine learning, curricula are not widely used and empirically often yield only moderate benefits. This stark difference in the importance of curriculum raises a fundamental t...
1502.01657
Sudeep Pillai
Michael Fleder, Michael S. Kester, Sudeep Pillai
Bitcoin Transaction Graph Analysis
null
null
null
null
cs.CR cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bitcoins have recently become an increasingly popular cryptocurrency through which users trade electronically and more anonymously than via traditional electronic transfers. Bitcoin's design keeps all transactions in a public ledger. The sender and receiver for each transaction are identified only by cryptographic pu...
[ { "created": "Thu, 5 Feb 2015 17:55:27 GMT", "version": "v1" } ]
2015-02-06
[ [ "Fleder", "Michael", "" ], [ "Kester", "Michael S.", "" ], [ "Pillai", "Sudeep", "" ] ]
Bitcoins have recently become an increasingly popular cryptocurrency through which users trade electronically and more anonymously than via traditional electronic transfers. Bitcoin's design keeps all transactions in a public ledger. The sender and receiver for each transaction are identified only by cryptographic publ...
2305.18824
Guangzhi Sun
Guangzhi Sun, Chao Zhang, Phil Woodland
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator
Submitted to IEEE/ACM Transactions on Audio, Speech, and Language Processing
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
The incorporation of biasing words obtained through contextual knowledge is of paramount importance in automatic speech recognition (ASR) applications. This paper proposes an innovative method for achieving end-to-end contextual ASR using graph neural network (GNN) encodings based on the tree-constrained pointer gene...
[ { "created": "Tue, 30 May 2023 08:20:58 GMT", "version": "v1" } ]
2023-05-31
[ [ "Sun", "Guangzhi", "" ], [ "Zhang", "Chao", "" ], [ "Woodland", "Phil", "" ] ]
The incorporation of biasing words obtained through contextual knowledge is of paramount importance in automatic speech recognition (ASR) applications. This paper proposes an innovative method for achieving end-to-end contextual ASR using graph neural network (GNN) encodings based on the tree-constrained pointer genera...
1703.09765
Farzad Salehisadaghiani
Farzad Salehisadaghiani and Lacra Pavel
A Distributed Nash Equilibrium Seeking in Networked Graphical Games
null
Automatica, 87, pp. 17 - 24, 2018
10.1016/j.automatica.2017.09.016
null
cs.GT cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers a distributed gossip approach for finding a Nash equilibrium in networked games on graphs. In such games a player's cost function may be affected by the actions of any subset of players. An interference graph is employed to illustrate the partially-coupled cost functions and the asymmetric inform...
[ { "created": "Tue, 28 Mar 2017 19:39:26 GMT", "version": "v1" } ]
2020-04-10
[ [ "Salehisadaghiani", "Farzad", "" ], [ "Pavel", "Lacra", "" ] ]
This paper considers a distributed gossip approach for finding a Nash equilibrium in networked games on graphs. In such games a player's cost function may be affected by the actions of any subset of players. An interference graph is employed to illustrate the partially-coupled cost functions and the asymmetric informat...
2304.08451
Lei Chen
Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang
Efficient Video Action Detection with Token Dropout and Context Refinement
technical report
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Streaming video clips with large-scale video tokens impede vision transformers (ViTs) for efficient recognition, especially in video action detection where sufficient spatiotemporal representations are required for precise actor identification. In this work, we propose an end-to-end framework for efficient video acti...
[ { "created": "Mon, 17 Apr 2023 17:21:21 GMT", "version": "v1" }, { "created": "Wed, 7 Jun 2023 16:04:17 GMT", "version": "v2" }, { "created": "Mon, 28 Aug 2023 10:22:23 GMT", "version": "v3" } ]
2023-08-29
[ [ "Chen", "Lei", "" ], [ "Tong", "Zhan", "" ], [ "Song", "Yibing", "" ], [ "Wu", "Gangshan", "" ], [ "Wang", "Limin", "" ] ]
Streaming video clips with large-scale video tokens impede vision transformers (ViTs) for efficient recognition, especially in video action detection where sufficient spatiotemporal representations are required for precise actor identification. In this work, we propose an end-to-end framework for efficient video action...
1803.03059
Tianpei Yang
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin
Hierarchical Heuristic Learning towards Effcient Norm Emergence
This manuscript contains 31 pages, 21 figures. It is an extended version of the paper published in the proceedings of the 22nd European Conference on Artificial Intelligence (ECAI): Accelerating Norm Emergence Through Hierarchical Heuristic Learning. We have submitted the manuscript to Journal of Autonomous Age...
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social norms serve as an important mechanism to regulate the behaviors of agents and to facilitate coordination among them in multiagent systems. One important research question is how a norm can rapidly emerge through repeated local interaction within an agent society under different environments when their coordina...
[ { "created": "Thu, 8 Mar 2018 12:14:49 GMT", "version": "v1" } ]
2018-03-09
[ [ "Yang", "Tianpei", "" ], [ "Hao", "Jianye", "" ], [ "Meng", "Zhaopeng", "" ], [ "Sen", "Sandip", "" ], [ "Jin", "Sheng", "" ] ]
Social norms serve as an important mechanism to regulate the behaviors of agents and to facilitate coordination among them in multiagent systems. One important research question is how a norm can rapidly emerge through repeated local interaction within an agent society under different environments when their coordinati...
1605.01853
Andrew Connor
Ricardo Sosa and Andy M. Connor
A computational intuition pump to examine group creativity: building on the ideas of others
null
Proceedings of the 2015 IASDR Conference: Interplay 2015. Brisbane, 2-5th November 2015
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a computational approach to modelling group creativity. It presents an analysis of two studies of group creativity selected from different research cultures and identifies a common theme ("idea build-up") that is then used in the formalisation of an agent-based model used to support reasoning abou...
[ { "created": "Fri, 6 May 2016 08:07:55 GMT", "version": "v1" } ]
2016-05-09
[ [ "Sosa", "Ricardo", "" ], [ "Connor", "Andy M.", "" ] ]
This paper presents a computational approach to modelling group creativity. It presents an analysis of two studies of group creativity selected from different research cultures and identifies a common theme ("idea build-up") that is then used in the formalisation of an agent-based model used to support reasoning about ...
0906.3220
Narad Rampersad
Narad Rampersad and Jeffrey Shallit
Detecting patterns in finite regular and context-free languages
9 pages
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider variations on the following problem: given an NFA M and a pattern p, does there exist an x in L(M) such that p matches x? We consider the restricted problem where M only accepts a finite language. We also consider the variation where the pattern p is required only to match a factor of x. We show that both...
[ { "created": "Wed, 17 Jun 2009 15:53:06 GMT", "version": "v1" } ]
2009-06-18
[ [ "Rampersad", "Narad", "" ], [ "Shallit", "Jeffrey", "" ] ]
We consider variations on the following problem: given an NFA M and a pattern p, does there exist an x in L(M) such that p matches x? We consider the restricted problem where M only accepts a finite language. We also consider the variation where the pattern p is required only to match a factor of x. We show that both o...
2305.03034
Shengcao Cao
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
Contrastive Mean Teacher for Domain Adaptive Object Detectors
CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Object detectors often suffer from the domain gap between training (source domain) and real-world applications (target domain). Mean-teacher self-training is a powerful paradigm in unsupervised domain adaptation for object detection, but it struggles with low-quality pseudo-labels. In this work, we identify the intri...
[ { "created": "Thu, 4 May 2023 17:55:17 GMT", "version": "v1" } ]
2023-05-05
[ [ "Cao", "Shengcao", "" ], [ "Joshi", "Dhiraj", "" ], [ "Gui", "Liang-Yan", "" ], [ "Wang", "Yu-Xiong", "" ] ]
Object detectors often suffer from the domain gap between training (source domain) and real-world applications (target domain). Mean-teacher self-training is a powerful paradigm in unsupervised domain adaptation for object detection, but it struggles with low-quality pseudo-labels. In this work, we identify the intrigu...
2311.02475
Hector Perez-Villeda
Hector Perez-Villeda, Justus Piater, and Matteo Saveriano
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills
18 pages, 10 figures. To be submitted to IEEE Transactions on Robotics (T-RO)
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In Programming by Demonstration, the robot learns novel skills from human demonstrations. After learning, the robot should be able not only to reproduce the skill, but also to generalize it to shifted domains without collecting new training data. Adaptation to similar domains has been investigated in the literature; ...
[ { "created": "Sat, 4 Nov 2023 18:16:18 GMT", "version": "v1" } ]
2023-11-07
[ [ "Perez-Villeda", "Hector", "" ], [ "Piater", "Justus", "" ], [ "Saveriano", "Matteo", "" ] ]
In Programming by Demonstration, the robot learns novel skills from human demonstrations. After learning, the robot should be able not only to reproduce the skill, but also to generalize it to shifted domains without collecting new training data. Adaptation to similar domains has been investigated in the literature; ho...
2403.01231
Zijin Yin
Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
CVPR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When deploying segmentation models in practice, it is critical to evaluate their behaviors in varied and complex scenes. Different from the previous evaluation paradigms only in consideration of global attribute variations (e.g. adverse weather), we investigate both local and global attribute variations for robustnes...
[ { "created": "Sat, 2 Mar 2024 15:20:09 GMT", "version": "v1" }, { "created": "Sun, 10 Mar 2024 15:12:35 GMT", "version": "v2" } ]
2024-03-12
[ [ "Yin", "Zijin", "" ], [ "Liang", "Kongming", "" ], [ "Li", "Bing", "" ], [ "Ma", "Zhanyu", "" ], [ "Guo", "Jun", "" ] ]
When deploying segmentation models in practice, it is critical to evaluate their behaviors in varied and complex scenes. Different from the previous evaluation paradigms only in consideration of global attribute variations (e.g. adverse weather), we investigate both local and global attribute variations for robustness ...
0806.4703
Feng Li
Feng Li and Shuigeng Zhou
Challenging More Updates: Towards Anonymous Re-publication of Fully Dynamic Datasets
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most existing anonymization work has been done on static datasets, which have no update and need only one-time publication. Recent studies consider anonymizing dynamic datasets with external updates: the datasets are updated with record insertions and/or deletions. This paper addresses a new problem: anonymous re-pub...
[ { "created": "Sat, 28 Jun 2008 16:24:03 GMT", "version": "v1" }, { "created": "Thu, 24 Jul 2008 08:24:57 GMT", "version": "v2" } ]
2008-07-24
[ [ "Li", "Feng", "" ], [ "Zhou", "Shuigeng", "" ] ]
Most existing anonymization work has been done on static datasets, which have no update and need only one-time publication. Recent studies consider anonymizing dynamic datasets with external updates: the datasets are updated with record insertions and/or deletions. This paper addresses a new problem: anonymous re-publi...
1912.11095
P. M. Krafft
P. M. Krafft, Meg Young, Michael Katell, Karen Huang, Ghislain Bugingo
Defining AI in Policy versus Practice
null
null
null
null
cs.CY cs.AI cs.LG physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent concern about harms of information technologies motivate consideration of regulatory action to forestall or constrain certain developments in the field of artificial intelligence (AI). However, definitional ambiguity hampers the possibility of conversation about this urgent topic of public concern. Legal and r...
[ { "created": "Mon, 23 Dec 2019 20:18:21 GMT", "version": "v1" } ]
2019-12-25
[ [ "Krafft", "P. M.", "" ], [ "Young", "Meg", "" ], [ "Katell", "Michael", "" ], [ "Huang", "Karen", "" ], [ "Bugingo", "Ghislain", "" ] ]
Recent concern about harms of information technologies motivate consideration of regulatory action to forestall or constrain certain developments in the field of artificial intelligence (AI). However, definitional ambiguity hampers the possibility of conversation about this urgent topic of public concern. Legal and reg...
1704.04947
Rati Gelashvili
Dan Alistarh, James Aspnes, Rati Gelashvili
Space-Optimal Majority in Population Protocols
null
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Population protocols are a model of distributed computing, in which $n$ agents with limited local state interact randomly, and cooperate to collectively compute global predicates. An extensive series of papers, across different communities, has examined the computability and complexity characteristics of this model. ...
[ { "created": "Mon, 17 Apr 2017 12:53:02 GMT", "version": "v1" }, { "created": "Thu, 11 May 2017 09:12:36 GMT", "version": "v2" }, { "created": "Fri, 12 May 2017 03:46:39 GMT", "version": "v3" }, { "created": "Sun, 28 May 2017 20:30:25 GMT", "version": "v4" }, { "c...
2017-07-17
[ [ "Alistarh", "Dan", "" ], [ "Aspnes", "James", "" ], [ "Gelashvili", "Rati", "" ] ]
Population protocols are a model of distributed computing, in which $n$ agents with limited local state interact randomly, and cooperate to collectively compute global predicates. An extensive series of papers, across different communities, has examined the computability and complexity characteristics of this model. Ma...
2407.14847
Abdullahi Saka PhD
Abdullahi Saka, Ridwan Taiwo, Nurudeen Saka, Benjamin Oluleye, Jamiu Dauda, and Lukman Akanbi
Integrated BIM and Machine Learning System for Circularity Prediction of Construction Demolition Waste
30 pages, 19 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Effective management of construction and demolition waste (C&DW) is crucial for sustainable development, as the industry accounts for 40% of the waste generated globally. The effectiveness of the C&DW management relies on the proper quantification of C&DW to be generated. Despite demolition activities having larger c...
[ { "created": "Sat, 20 Jul 2024 11:32:46 GMT", "version": "v1" } ]
2024-07-23
[ [ "Saka", "Abdullahi", "" ], [ "Taiwo", "Ridwan", "" ], [ "Saka", "Nurudeen", "" ], [ "Oluleye", "Benjamin", "" ], [ "Dauda", "Jamiu", "" ], [ "Akanbi", "Lukman", "" ] ]
Effective management of construction and demolition waste (C&DW) is crucial for sustainable development, as the industry accounts for 40% of the waste generated globally. The effectiveness of the C&DW management relies on the proper quantification of C&DW to be generated. Despite demolition activities having larger con...
1906.06870
Raghav Gupta
Darsh J Shah, Raghav Gupta, Amir A Fayazi, Dilek Hakkani-Tur
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
To appear in ACL 2019
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Task-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains. Often, however, little to no target domain training data may be available, or the training and target domain schemas may be misaligned, as is common for web fo...
[ { "created": "Mon, 17 Jun 2019 07:07:01 GMT", "version": "v1" } ]
2019-06-18
[ [ "Shah", "Darsh J", "" ], [ "Gupta", "Raghav", "" ], [ "Fayazi", "Amir A", "" ], [ "Hakkani-Tur", "Dilek", "" ] ]
Task-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains. Often, however, little to no target domain training data may be available, or the training and target domain schemas may be misaligned, as is common for web form...
1911.09669
Alex Labach
Alex Labach and Shahrokh Valaee
Regularizing Neural Networks by Stochastically Training Layer Ensembles
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dropout and similar stochastic neural network regularization methods are often interpreted as implicitly averaging over a large ensemble of models. We propose STE (stochastically trained ensemble) layers, which enhance the averaging properties of such methods by training an ensemble of weight matrices with stochastic...
[ { "created": "Thu, 21 Nov 2019 18:56:29 GMT", "version": "v1" } ]
2019-11-22
[ [ "Labach", "Alex", "" ], [ "Valaee", "Shahrokh", "" ] ]
Dropout and similar stochastic neural network regularization methods are often interpreted as implicitly averaging over a large ensemble of models. We propose STE (stochastically trained ensemble) layers, which enhance the averaging properties of such methods by training an ensemble of weight matrices with stochastic r...
2106.02818
Amir Ahooye Atashin
Amir Ahooye Atashin, Behrooz Razeghi, Deniz G\"und\"uz, Slava Voloshynovskiy
Variational Leakage: The Role of Information Complexity in Privacy Leakage
null
null
10.1145/3468218.3469040
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the role of information complexity in privacy leakage about an attribute of an adversary's interest, which is not known a priori to the system designer. Considering the supervised representation learning setup and using neural networks to parameterize the variational bounds of information quantities, we stud...
[ { "created": "Sat, 5 Jun 2021 06:56:39 GMT", "version": "v1" }, { "created": "Tue, 8 Jun 2021 09:17:12 GMT", "version": "v2" } ]
2021-06-09
[ [ "Atashin", "Amir Ahooye", "" ], [ "Razeghi", "Behrooz", "" ], [ "Gündüz", "Deniz", "" ], [ "Voloshynovskiy", "Slava", "" ] ]
We study the role of information complexity in privacy leakage about an attribute of an adversary's interest, which is not known a priori to the system designer. Considering the supervised representation learning setup and using neural networks to parameterize the variational bounds of information quantities, we study ...
2012.11819
Md Ashikuzzaman
Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo, Pierre Brisson, and Hassan Rivaz
Fast and Robust Localization of Surgical Array using Kalman Filter
11 pages, 6 figures
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Intraoperative tracking of surgical instruments is an inevitable task of computer-assisted surgery. An optical tracking system often fails to precisely reconstruct the dynamic location and pose of a surgical tool due to the acquisition noise and measurement variance. Embedding a Kalman Filter (KF) or any of its exten...
[ { "created": "Tue, 22 Dec 2020 03:48:23 GMT", "version": "v1" } ]
2020-12-23
[ [ "Ashikuzzaman", "Md", "" ], [ "Jafarpisheh", "Noushin", "" ], [ "Rottoo", "Sunil", "" ], [ "Brisson", "Pierre", "" ], [ "Rivaz", "Hassan", "" ] ]
Intraoperative tracking of surgical instruments is an inevitable task of computer-assisted surgery. An optical tracking system often fails to precisely reconstruct the dynamic location and pose of a surgical tool due to the acquisition noise and measurement variance. Embedding a Kalman Filter (KF) or any of its extensi...
1112.5716
Symeon Chouvardas
Symeon Chouvardas and Konstantinos Slavakis and Yannis Kopsinis and Sergios Theodoridis
A Sparsity-Aware Adaptive Algorithm for Distributed Learning
null
null
10.1109/TSP.2012.2204987
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a sparsity-aware adaptive algorithm for distributed learning in diffusion networks is developed. The algorithm follows the set-theoretic estimation rationale. At each time instance and at each node of the network, a closed convex set, known as property set, is constructed based on the received measurem...
[ { "created": "Sat, 24 Dec 2011 11:21:26 GMT", "version": "v1" } ]
2015-06-03
[ [ "Chouvardas", "Symeon", "" ], [ "Slavakis", "Konstantinos", "" ], [ "Kopsinis", "Yannis", "" ], [ "Theodoridis", "Sergios", "" ] ]
In this paper, a sparsity-aware adaptive algorithm for distributed learning in diffusion networks is developed. The algorithm follows the set-theoretic estimation rationale. At each time instance and at each node of the network, a closed convex set, known as property set, is constructed based on the received measuremen...
1502.03796
Stanislav Zivny
David A. Cohen, Martin C. Cooper, Guillaume Escamocher, Stanislav Zivny
Variable and value elimination in binary constraint satisfaction via forbidden patterns
A full version of an IJCAI'13 paper to appear in Journal of Computer and System Sciences (JCSS)
Journal of Computer and System Sciences 81(7) 1127-1143 (2015)
10.1016/j.jcss.2015.02.001
null
cs.CC cs.AI cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Variable or value elimination in a constraint satisfaction problem (CSP) can be used in preprocessing or during search to reduce search space size. A variable elimination rule (value elimination rule) allows the polynomial-time identification of certain variables (domain elements) whose elimination, without the intro...
[ { "created": "Thu, 12 Feb 2015 20:22:44 GMT", "version": "v1" } ]
2015-06-11
[ [ "Cohen", "David A.", "" ], [ "Cooper", "Martin C.", "" ], [ "Escamocher", "Guillaume", "" ], [ "Zivny", "Stanislav", "" ] ]
Variable or value elimination in a constraint satisfaction problem (CSP) can be used in preprocessing or during search to reduce search space size. A variable elimination rule (value elimination rule) allows the polynomial-time identification of certain variables (domain elements) whose elimination, without the introdu...
2403.06298
Alexander Jung
A. Jung
Analysis of Total Variation Minimization for Clustered Federated Learning
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
A key challenge in federated learning applications is the statistical heterogeneity of local datasets. Clustered federated learning addresses this challenge by identifying clusters of local datasets that are approximately homogeneous. One recent approach to clustered federated learning is generalized total variation ...
[ { "created": "Sun, 10 Mar 2024 20:07:14 GMT", "version": "v1" }, { "created": "Wed, 31 Jul 2024 13:57:36 GMT", "version": "v2" } ]
2024-08-01
[ [ "Jung", "A.", "" ] ]
A key challenge in federated learning applications is the statistical heterogeneity of local datasets. Clustered federated learning addresses this challenge by identifying clusters of local datasets that are approximately homogeneous. One recent approach to clustered federated learning is generalized total variation mi...
1504.06864
Rafal Scherer
Patryk Najgebauer, Janusz Rygal, Tomasz Nowak, Jakub Romanowski, Leszek Rutkowski, Sviatoslav Voloshynovskiy, Rafal Scherer
Fast Dictionary Matching for Content-based Image Retrieval
Accepted for the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC, June 14-18, 2015, Zakopane, Poland, http://www.icaisc.eu/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a method for searching for common sets of descriptors between collections of images. The presented method operates on local interest keypoints, which are generated using the SURF algorithm. The use of a dictionary of descriptors allowed achieving good performance of the content-based image retrie...
[ { "created": "Sun, 26 Apr 2015 18:41:51 GMT", "version": "v1" } ]
2015-04-28
[ [ "Najgebauer", "Patryk", "" ], [ "Rygal", "Janusz", "" ], [ "Nowak", "Tomasz", "" ], [ "Romanowski", "Jakub", "" ], [ "Rutkowski", "Leszek", "" ], [ "Voloshynovskiy", "Sviatoslav", "" ], [ "Scherer", "Rafal", ...
This paper describes a method for searching for common sets of descriptors between collections of images. The presented method operates on local interest keypoints, which are generated using the SURF algorithm. The use of a dictionary of descriptors allowed achieving good performance of the content-based image retrieva...
2402.10093
Benedikt Alkin
Benedikt Alkin and Lukas Miklautz and Sepp Hochreiter and Johannes Brandstetter
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We introduce MIM (Masked Image Modeling)-Refiner, a contrastive learning boost for pre-trained MIM models. MIM-Refiner is motivated by the insight that strong representations within MIM models generally reside in intermediate layers. Accordingly, MIM-Refiner leverages multiple contrastive heads that are connected to ...
[ { "created": "Thu, 15 Feb 2024 16:46:16 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2024 17:51:58 GMT", "version": "v2" } ]
2024-06-04
[ [ "Alkin", "Benedikt", "" ], [ "Miklautz", "Lukas", "" ], [ "Hochreiter", "Sepp", "" ], [ "Brandstetter", "Johannes", "" ] ]
We introduce MIM (Masked Image Modeling)-Refiner, a contrastive learning boost for pre-trained MIM models. MIM-Refiner is motivated by the insight that strong representations within MIM models generally reside in intermediate layers. Accordingly, MIM-Refiner leverages multiple contrastive heads that are connected to di...
1303.3934
Feng Tan
Feng Tan and Jean-Jacques Slotine
A Quorum Sensing Inspired Algorithm for Dynamic Clustering
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quorum sensing is a decentralized biological process, through which a community of cells with no global awareness coordinate their functional behaviors based solely on cell-medium interactions and local decisions. This paper draws inspirations from quorum sensing and colony competition to derive a new algorithm for d...
[ { "created": "Sat, 16 Mar 2013 00:49:56 GMT", "version": "v1" }, { "created": "Tue, 6 Oct 2015 21:12:52 GMT", "version": "v2" } ]
2015-10-08
[ [ "Tan", "Feng", "" ], [ "Slotine", "Jean-Jacques", "" ] ]
Quorum sensing is a decentralized biological process, through which a community of cells with no global awareness coordinate their functional behaviors based solely on cell-medium interactions and local decisions. This paper draws inspirations from quorum sensing and colony competition to derive a new algorithm for dat...
2407.02937
Sarina Meyer
Sarina Meyer, Florian Lux, Ngoc Thang Vu
Probing the Feasibility of Multilingual Speaker Anonymization
accepted at Interspeech 2024
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
In speaker anonymization, speech recordings are modified in a way that the identity of the speaker remains hidden. While this technology could help to protect the privacy of individuals around the globe, current research restricts this by focusing almost exclusively on English data. In this study, we extend a state-o...
[ { "created": "Wed, 3 Jul 2024 09:12:53 GMT", "version": "v1" } ]
2024-07-04
[ [ "Meyer", "Sarina", "" ], [ "Lux", "Florian", "" ], [ "Vu", "Ngoc Thang", "" ] ]
In speaker anonymization, speech recordings are modified in a way that the identity of the speaker remains hidden. While this technology could help to protect the privacy of individuals around the globe, current research restricts this by focusing almost exclusively on English data. In this study, we extend a state-of-...
1508.04364
Efstathios Panayi
Gareth W. Peters, Efstathios Panayi, Ariane Chapelle
Trends in crypto-currencies and blockchain technologies: A monetary theory and regulation perspective
null
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The internet era has generated a requirement for low cost, anonymous and rapidly verifiable transactions to be used for online barter, and fast settling money have emerged as a consequence. For the most part, e-money has fulfilled this role, but the last few years have seen two new types of money emerge. Centralised ...
[ { "created": "Tue, 18 Aug 2015 15:55:31 GMT", "version": "v1" } ]
2015-08-19
[ [ "Peters", "Gareth W.", "" ], [ "Panayi", "Efstathios", "" ], [ "Chapelle", "Ariane", "" ] ]
The internet era has generated a requirement for low cost, anonymous and rapidly verifiable transactions to be used for online barter, and fast settling money have emerged as a consequence. For the most part, e-money has fulfilled this role, but the last few years have seen two new types of money emerge. Centralised vi...
2301.05908
Xin Jin
Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yiqing Rong, Shuai Cui
An Order-Complexity Model for Aesthetic Quality Assessment of Symbolic Homophony Music Scores
null
null
null
null
cs.SD cs.CV cs.MM eess.AS
http://creativecommons.org/licenses/by/4.0/
Computational aesthetics evaluation has made great achievements in the field of visual arts, but the research work on music still needs to be explored. Although the existing work of music generation is very substantial, the quality of music score generated by AI is relatively poor compared with that created by human ...
[ { "created": "Sat, 14 Jan 2023 12:30:16 GMT", "version": "v1" } ]
2023-01-18
[ [ "Jin", "Xin", "" ], [ "Zhou", "Wu", "" ], [ "Wang", "Jinyu", "" ], [ "Xu", "Duo", "" ], [ "Rong", "Yiqing", "" ], [ "Cui", "Shuai", "" ] ]
Computational aesthetics evaluation has made great achievements in the field of visual arts, but the research work on music still needs to be explored. Although the existing work of music generation is very substantial, the quality of music score generated by AI is relatively poor compared with that created by human co...
2103.00881
Akhila Sri Manasa Venigalla
Akhila Sri Manasa Venigalla and Sridhar Chimalakonda
Understanding Emotions of Developer Community Towards Software Documentation
5 pages, 1 figure, 1 table
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The availability of open-source projects facilitates developers to contribute and collaborate on a wide range of projects. As a result, the developer community contributing to such open-source projects is also increasing. Many of the projects involve frequent updates and extensive reuses. A well-updated documentation...
[ { "created": "Mon, 1 Mar 2021 10:06:23 GMT", "version": "v1" } ]
2021-03-02
[ [ "Venigalla", "Akhila Sri Manasa", "" ], [ "Chimalakonda", "Sridhar", "" ] ]
The availability of open-source projects facilitates developers to contribute and collaborate on a wide range of projects. As a result, the developer community contributing to such open-source projects is also increasing. Many of the projects involve frequent updates and extensive reuses. A well-updated documentation h...
2010.08622
Yunheng Han
Yunheng Han and Hanan Samet
LiMITS: An Effective Approach for Trajectory Simplification
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Trajectories represent the mobility of moving objects and thus is of great value in data mining applications. However, trajectory data is enormous in volume, so it is expensive to store and process the raw data directly. Trajectories are also redundant so data compression techniques can be applied. In this paper, we ...
[ { "created": "Fri, 16 Oct 2020 20:46:51 GMT", "version": "v1" } ]
2020-10-20
[ [ "Han", "Yunheng", "" ], [ "Samet", "Hanan", "" ] ]
Trajectories represent the mobility of moving objects and thus is of great value in data mining applications. However, trajectory data is enormous in volume, so it is expensive to store and process the raw data directly. Trajectories are also redundant so data compression techniques can be applied. In this paper, we pr...
0903.0520
Francesco Pasquale
Andrea E.F. Clementi, Francesco Pasquale, and Riccardo Silvestri
MANETS: High mobility can make up for low transmission power
18 pages
null
null
null
cs.DM cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a Mobile Ad-hoc NETworks (MANET) formed by "n" nodes that move independently at random over a finite square region of the plane. Nodes exchange data if they are at distance at most "r" within each other, where r>0 is the node transmission radius. The "flooding time" is the number of time steps required to...
[ { "created": "Tue, 3 Mar 2009 12:50:27 GMT", "version": "v1" } ]
2009-03-04
[ [ "Clementi", "Andrea E. F.", "" ], [ "Pasquale", "Francesco", "" ], [ "Silvestri", "Riccardo", "" ] ]
We consider a Mobile Ad-hoc NETworks (MANET) formed by "n" nodes that move independently at random over a finite square region of the plane. Nodes exchange data if they are at distance at most "r" within each other, where r>0 is the node transmission radius. The "flooding time" is the number of time steps required to b...
2309.04564
Max Marion
Max Marion, Ahmet \"Ust\"un, Luiza Pozzobon, Alex Wang, Marzieh Fadaee, Sara Hooker
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
14 pages, 8 figures
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Large volumes of text data have contributed significantly to the development of large language models (LLMs) in recent years. This data is typically acquired by scraping the internet, leading to pretraining datasets comprised of noisy web text. To date, efforts to prune these datasets down to a higher quality subset ...
[ { "created": "Fri, 8 Sep 2023 19:34:05 GMT", "version": "v1" } ]
2023-09-12
[ [ "Marion", "Max", "" ], [ "Üstün", "Ahmet", "" ], [ "Pozzobon", "Luiza", "" ], [ "Wang", "Alex", "" ], [ "Fadaee", "Marzieh", "" ], [ "Hooker", "Sara", "" ] ]
Large volumes of text data have contributed significantly to the development of large language models (LLMs) in recent years. This data is typically acquired by scraping the internet, leading to pretraining datasets comprised of noisy web text. To date, efforts to prune these datasets down to a higher quality subset ha...
2207.03408
Kartik Sharma
Kartik Sharma, Mohit Raghavendra, Yeon Chang Lee, Anand Kumar M, Srijan Kumar
Representation Learning in Continuous-Time Dynamic Signed Networks
null
null
null
null
cs.SI cs.LG
http://creativecommons.org/licenses/by/4.0/
Signed networks allow us to model conflicting relationships and interactions, such as friend/enemy and support/oppose. These signed interactions happen in real-time. Modeling such dynamics of signed networks is crucial to understanding the evolution of polarization in the network and enabling effective prediction of ...
[ { "created": "Thu, 7 Jul 2022 16:26:25 GMT", "version": "v1" }, { "created": "Tue, 23 Aug 2022 22:47:54 GMT", "version": "v2" }, { "created": "Sun, 5 Feb 2023 16:24:08 GMT", "version": "v3" } ]
2023-02-07
[ [ "Sharma", "Kartik", "" ], [ "Raghavendra", "Mohit", "" ], [ "Lee", "Yeon Chang", "" ], [ "M", "Anand Kumar", "" ], [ "Kumar", "Srijan", "" ] ]
Signed networks allow us to model conflicting relationships and interactions, such as friend/enemy and support/oppose. These signed interactions happen in real-time. Modeling such dynamics of signed networks is crucial to understanding the evolution of polarization in the network and enabling effective prediction of th...
cs/0310010
David Lyback
David Lyback
Transient Diversity in Multi-Agent Systems
44 pages, 5 figures
null
null
M.Sc. thesis No. 99-x-097. Dept. of Computer and Systems Sciences, Royal Inst. of Technology, Sweden
cs.AI cs.MA
null
Diversity is an important aspect of highly efficient multi-agent teams. We introduce the main factors that drive a multi-agent system in either direction along the diversity scale. A metric for diversity is described, and we speculate on the concept of transient diversity. Finally, an experiment on social entropy usi...
[ { "created": "Mon, 6 Oct 2003 16:13:13 GMT", "version": "v1" } ]
2007-05-23
[ [ "Lyback", "David", "" ] ]
Diversity is an important aspect of highly efficient multi-agent teams. We introduce the main factors that drive a multi-agent system in either direction along the diversity scale. A metric for diversity is described, and we speculate on the concept of transient diversity. Finally, an experiment on social entropy using...
2211.12045
Jiaming Zha
Jiaming Zha, Xiangyu Wu, Ryan Dimick, and Mark W. Mueller
Design and control of a collision-resilient aerial vehicle with an icosahedron tensegrity structure
11 pages, 12 figures,this work has been submitted to the IEEE/ASME Transactions on Mechatronics for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce collision-resilient aerial vehicles with icosahedron tensegrity structures, capable of surviving high-speed impacts and resuming operations post-collision. We present a model-based design approach, which guides the selection of the tensegrity components by predicting structural stresses through a dynamic...
[ { "created": "Tue, 22 Nov 2022 06:37:06 GMT", "version": "v1" }, { "created": "Wed, 28 Jun 2023 20:55:49 GMT", "version": "v2" } ]
2023-06-30
[ [ "Zha", "Jiaming", "" ], [ "Wu", "Xiangyu", "" ], [ "Dimick", "Ryan", "" ], [ "Mueller", "Mark W.", "" ] ]
We introduce collision-resilient aerial vehicles with icosahedron tensegrity structures, capable of surviving high-speed impacts and resuming operations post-collision. We present a model-based design approach, which guides the selection of the tensegrity components by predicting structural stresses through a dynamics ...
2310.19512
Yong Zhang
Haoxin Chen, Menghan Xia, Yingqing He, Yong Zhang, Xiaodong Cun, Shaoshu Yang, Jinbo Xing, Yaofang Liu, Qifeng Chen, Xintao Wang, Chao Weng, Ying Shan
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Tech Report; Github: https://github.com/AILab-CVC/VideoCrafter Homepage: https://ailab-cvc.github.io/videocrafter/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Video generation has increasingly gained interest in both academia and industry. Although commercial tools can generate plausible videos, there is a limited number of open-source models available for researchers and engineers. In this work, we introduce two diffusion models for high-quality video generation, namely t...
[ { "created": "Mon, 30 Oct 2023 13:12:40 GMT", "version": "v1" } ]
2023-10-31
[ [ "Chen", "Haoxin", "" ], [ "Xia", "Menghan", "" ], [ "He", "Yingqing", "" ], [ "Zhang", "Yong", "" ], [ "Cun", "Xiaodong", "" ], [ "Yang", "Shaoshu", "" ], [ "Xing", "Jinbo", "" ], [ "Liu", "Yaof...
Video generation has increasingly gained interest in both academia and industry. Although commercial tools can generate plausible videos, there is a limited number of open-source models available for researchers and engineers. In this work, we introduce two diffusion models for high-quality video generation, namely tex...
1807.08545
Vivek Nallur
Francis Lawlor and Rem Collier and Vivek Nallur
Towards a Programmable Framework for Agent Game Playing
Adaptive Learning Agents Workshop at AAMAS'2018
null
null
null
cs.MA
http://creativecommons.org/licenses/by-nc-sa/4.0/
The field of Game Theory provides a useful mechanism for modeling many decision-making scenarios. In participating in these scenarios individuals and groups adopt particular strategies, which generally perform with varying levels of success. However, most results have focussed on players that play the same game in an...
[ { "created": "Mon, 23 Jul 2018 11:48:02 GMT", "version": "v1" } ]
2018-07-24
[ [ "Lawlor", "Francis", "" ], [ "Collier", "Rem", "" ], [ "Nallur", "Vivek", "" ] ]
The field of Game Theory provides a useful mechanism for modeling many decision-making scenarios. In participating in these scenarios individuals and groups adopt particular strategies, which generally perform with varying levels of success. However, most results have focussed on players that play the same game in an i...
1208.5557
Alireza Nemaney Pour
Elina Eidkhani, Melisa Hajyvahabzadeh, S. Anahita Mortazavi, Alireza Nemaney Pour
CRAW: Combination of Re-Keying and Authentication in Wireless Networks for Secure Multicast Increasing Efficiency of Member Join/Leave and Movement
22 pages, 16 figures, 7 tables
International Journal of Computer Networks & Communications (IJCNC) Vol.4, No.4, July 2012
10.5121/ijcnc.2012.4407
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, the number of requests for multicast services through the wireless networks has been increased. However, for successful deployment, security and efficiency of content delivery must be provided at first. This paper presents a new approach for secure multicast in wireless networks. This approach, CRAW (Combin...
[ { "created": "Tue, 28 Aug 2012 04:34:41 GMT", "version": "v1" } ]
2012-08-29
[ [ "Eidkhani", "Elina", "" ], [ "Hajyvahabzadeh", "Melisa", "" ], [ "Mortazavi", "S. Anahita", "" ], [ "Pour", "Alireza Nemaney", "" ] ]
Recently, the number of requests for multicast services through the wireless networks has been increased. However, for successful deployment, security and efficiency of content delivery must be provided at first. This paper presents a new approach for secure multicast in wireless networks. This approach, CRAW (Combinat...
1305.1745
Djallel Bouneffouf
Djallel Bouneffouf
Mobile Recommender Systems Methods: An Overview
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The information that mobiles can access becomes very wide nowadays, and the user is faced with a dilemma: there is an unlimited pool of information available to him but he is unable to find the exact information he is looking for. This is why the current research aims to design Recommender Systems (RS) able to contin...
[ { "created": "Wed, 8 May 2013 08:38:04 GMT", "version": "v1" } ]
2013-05-09
[ [ "Bouneffouf", "Djallel", "" ] ]
The information that mobiles can access becomes very wide nowadays, and the user is faced with a dilemma: there is an unlimited pool of information available to him but he is unable to find the exact information he is looking for. This is why the current research aims to design Recommender Systems (RS) able to continua...
cs/0405068
Yongzhi Cao
Yongzhi Cao and Mingsheng Ying
Observability and Decentralized Control of Fuzzy Discrete Event Systems
14 pages, 1 figure. to be published in the IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems, 14(2), pp. 202-216, April 2006
null
null
cs.DM cs.DC
null
Fuzzy discrete event systems as a generalization of (crisp) discrete event systems have been introduced in order that it is possible to effectively represent uncertainty, imprecision, and vagueness arising from the dynamic of systems. A fuzzy discrete event system has been modelled by a fuzzy automaton; its behavior ...
[ { "created": "Thu, 20 May 2004 08:19:26 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2005 00:06:05 GMT", "version": "v2" } ]
2007-05-23
[ [ "Cao", "Yongzhi", "" ], [ "Ying", "Mingsheng", "" ] ]
Fuzzy discrete event systems as a generalization of (crisp) discrete event systems have been introduced in order that it is possible to effectively represent uncertainty, imprecision, and vagueness arising from the dynamic of systems. A fuzzy discrete event system has been modelled by a fuzzy automaton; its behavior is...
1811.10670
Shari Trewin
Shari Trewin
AI Fairness for People with Disabilities: Point of View
null
null
null
null
cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider how fair treatment in society for people with disabilities might be impacted by the rise in the use of artificial intelligence, and especially machine learning methods. We argue that fairness for people with disabilities is different to fairness for other protected attributes such as age, gender or race. ...
[ { "created": "Mon, 26 Nov 2018 20:11:30 GMT", "version": "v1" } ]
2018-11-28
[ [ "Trewin", "Shari", "" ] ]
We consider how fair treatment in society for people with disabilities might be impacted by the rise in the use of artificial intelligence, and especially machine learning methods. We argue that fairness for people with disabilities is different to fairness for other protected attributes such as age, gender or race. On...
2203.14372
Konstantin Dobratulin
Konstantin Dobratulin, Marina Nezhurina
Algorithmic support of a personal virtual assistant for automating the processing of client requests
null
null
null
null
cs.HC cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
This article describes creating algorithmic support for the functioning of a personal virtual assistant, which allows automating the processing of customer requests. The study aims to reduce errors and processing time for a client request in business systems - text chats or voice channels using a text transcription s...
[ { "created": "Sun, 27 Mar 2022 19:13:29 GMT", "version": "v1" } ]
2022-03-29
[ [ "Dobratulin", "Konstantin", "" ], [ "Nezhurina", "Marina", "" ] ]
This article describes creating algorithmic support for the functioning of a personal virtual assistant, which allows automating the processing of customer requests. The study aims to reduce errors and processing time for a client request in business systems - text chats or voice channels using a text transcription sys...
2103.10060
Yihang Gao
Yihang Gao, Michael K. Ng, Mingjie Zhou
Approximating Probability Distributions by using Wasserstein Generative Adversarial Networks
Accepted by SIAM Journal on Mathematics of Data Science (SIMODS)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Studied here are Wasserstein generative adversarial networks (WGANs) with GroupSort neural networks as their discriminators. It is shown that the error bound of the approximation for the target distribution depends on the width and depth (capacity) of the generators and discriminators and the number of samples in tra...
[ { "created": "Thu, 18 Mar 2021 07:40:13 GMT", "version": "v1" }, { "created": "Wed, 26 May 2021 07:22:58 GMT", "version": "v2" }, { "created": "Mon, 23 May 2022 04:41:38 GMT", "version": "v3" }, { "created": "Fri, 30 Jun 2023 03:45:05 GMT", "version": "v4" } ]
2023-07-03
[ [ "Gao", "Yihang", "" ], [ "Ng", "Michael K.", "" ], [ "Zhou", "Mingjie", "" ] ]
Studied here are Wasserstein generative adversarial networks (WGANs) with GroupSort neural networks as their discriminators. It is shown that the error bound of the approximation for the target distribution depends on the width and depth (capacity) of the generators and discriminators and the number of samples in train...
cs/0702076
Frederic Vivien
Lionel Eyraud-Dubois (INRIA Rh\^one-Alpes, LIP), Arnaud Legrand (ID-IMAG, INRIA Rh\^one-Alpes / ID-IMAG), Martin Quinson (INRIA Lorraine - LORIA), Fr\'ed\'eric Vivien (INRIA Rh\^one-Alpes, LIP)
A First Step Towards Automatically Building Network Representations
null
null
null
null
cs.DC
null
To fully harness Grids, users or middlewares must have some knowledge on the topology of the platform interconnection network. As such knowledge is usually not available, one must uses tools which automatically build a topological network model through some measurements. In this article, we define a methodology to as...
[ { "created": "Tue, 13 Feb 2007 16:35:04 GMT", "version": "v1" }, { "created": "Thu, 28 Jun 2007 14:14:44 GMT", "version": "v2" } ]
2007-06-28
[ [ "Eyraud-Dubois", "Lionel", "", "INRIA Rhône-Alpes, LIP" ], [ "Legrand", "Arnaud", "", "ID-IMAG, INRIA Rhône-Alpes / ID-IMAG" ], [ "Quinson", "Martin", "", "INRIA Lorraine -\n LORIA" ], [ "Vivien", "Frédéric", "", "INRIA Rhône-Alpes, LIP"...
To fully harness Grids, users or middlewares must have some knowledge on the topology of the platform interconnection network. As such knowledge is usually not available, one must uses tools which automatically build a topological network model through some measurements. In this article, we define a methodology to asse...
1309.7262
Ahmed Abbasi
F. Mariam Zahedi, Ahmed Abbasi and Yan Chen
Design Elements that Promote the use of Fake Website Detection Tools
Zahedi, F. M., Abbasi, A., and Chen, Y. "Design Elements that Promote the use of Fake Website Detection Tools," In Proceedings of the 10th Annual AIS SIG-HCI Workshop, Shanghai, China, December 4, 2011
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fake websites have emerged as a major source of online fraud, accounting for billions of dollars of loss by Internet users. We explore the process by which salient design elements could increase the use of protective tools, thus reducing the success rate of fake websites. Using the protection motivation theory, we co...
[ { "created": "Fri, 27 Sep 2013 15:04:47 GMT", "version": "v1" } ]
2013-09-30
[ [ "Zahedi", "F. Mariam", "" ], [ "Abbasi", "Ahmed", "" ], [ "Chen", "Yan", "" ] ]
Fake websites have emerged as a major source of online fraud, accounting for billions of dollars of loss by Internet users. We explore the process by which salient design elements could increase the use of protective tools, thus reducing the success rate of fake websites. Using the protection motivation theory, we conc...
1705.08997
Farhan Tejani
Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Yannick Schroecker, Charles Isbell
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning
5 pages, 6 figures; 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017), Ann Arbor, Michigan
null
null
null
cs.AI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Typical reinforcement learning (RL) agents learn to complete tasks specified by reward functions tailored to their domain. As such, the policies they learn do not generalize even to similar domains. To address this issue, we develop a framework through which a deep RL agent learns to generalize policies from smaller,...
[ { "created": "Wed, 24 May 2017 23:19:44 GMT", "version": "v1" } ]
2017-05-26
[ [ "Sahni", "Himanshu", "" ], [ "Kumar", "Saurabh", "" ], [ "Tejani", "Farhan", "" ], [ "Schroecker", "Yannick", "" ], [ "Isbell", "Charles", "" ] ]
Typical reinforcement learning (RL) agents learn to complete tasks specified by reward functions tailored to their domain. As such, the policies they learn do not generalize even to similar domains. To address this issue, we develop a framework through which a deep RL agent learns to generalize policies from smaller, s...
2101.08778
Ariah Klages-Mundt
Sam M. Werner, Daniel Perez, Lewis Gudgeon, Ariah Klages-Mundt, Dominik Harz, William J. Knottenbelt
SoK: Decentralized Finance (DeFi)
null
null
null
null
cs.CR econ.GN q-fin.EC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decentralized Finance (DeFi), a blockchain powered peer-to-peer financial system, is mushrooming. Two years ago the total value locked in DeFi systems was approximately 700m USD, now, as of April 2022, it stands at around 150bn USD. The frenetic evolution of the ecosystem has created challenges in understanding the b...
[ { "created": "Thu, 21 Jan 2021 18:58:43 GMT", "version": "v1" }, { "created": "Tue, 2 Mar 2021 17:16:55 GMT", "version": "v2" }, { "created": "Fri, 30 Apr 2021 10:11:59 GMT", "version": "v3" }, { "created": "Sat, 18 Sep 2021 15:30:59 GMT", "version": "v4" }, { "cr...
2022-09-16
[ [ "Werner", "Sam M.", "" ], [ "Perez", "Daniel", "" ], [ "Gudgeon", "Lewis", "" ], [ "Klages-Mundt", "Ariah", "" ], [ "Harz", "Dominik", "" ], [ "Knottenbelt", "William J.", "" ] ]
Decentralized Finance (DeFi), a blockchain powered peer-to-peer financial system, is mushrooming. Two years ago the total value locked in DeFi systems was approximately 700m USD, now, as of April 2022, it stands at around 150bn USD. The frenetic evolution of the ecosystem has created challenges in understanding the bas...
2010.09638
Jiawei Sheng
Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu and Hongbo Xu
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
11 pages, 3 figures
EMNLP 2020
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Few-shot Knowledge Graph (KG) completion is a focus of current research, where each task aims at querying unseen facts of a relation given its few-shot reference entity pairs. Recent attempts solve this problem by learning static representations of entities and references, ignoring their dynamic properties, i.e., ent...
[ { "created": "Mon, 19 Oct 2020 16:27:48 GMT", "version": "v1" } ]
2021-07-06
[ [ "Sheng", "Jiawei", "" ], [ "Guo", "Shu", "" ], [ "Chen", "Zhenyu", "" ], [ "Yue", "Juwei", "" ], [ "Wang", "Lihong", "" ], [ "Liu", "Tingwen", "" ], [ "Xu", "Hongbo", "" ] ]
Few-shot Knowledge Graph (KG) completion is a focus of current research, where each task aims at querying unseen facts of a relation given its few-shot reference entity pairs. Recent attempts solve this problem by learning static representations of entities and references, ignoring their dynamic properties, i.e., entit...
1904.11007
Shili Sheng
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng
A Case Study of Trust on Autonomous Driving
null
null
null
null
cs.HC cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As autonomous vehicles have benefited the society, understanding the dynamic change of humans' trust during human-autonomous vehicle interaction can help to improve the safety and performance of autonomous driving. We designed and conducted a human subjects study involving 19 participants. Each participant was asked ...
[ { "created": "Tue, 16 Apr 2019 15:15:44 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2019 16:30:26 GMT", "version": "v2" } ]
2019-07-19
[ [ "Sheng", "Shili", "" ], [ "Pakdamanian", "Erfan", "" ], [ "Han", "Kyungtae", "" ], [ "Kim", "BaekGyu", "" ], [ "Tiwari", "Prashant", "" ], [ "Kim", "Inki", "" ], [ "Feng", "Lu", "" ] ]
As autonomous vehicles have benefited the society, understanding the dynamic change of humans' trust during human-autonomous vehicle interaction can help to improve the safety and performance of autonomous driving. We designed and conducted a human subjects study involving 19 participants. Each participant was asked to...
2201.13019
Motasem Alfarra
Motasem Alfarra, Juan C. P\'erez, Anna Fr\"uhst\"uck, Philip H. S. Torr, Peter Wonka, Bernard Ghanem
On the Robustness of Quality Measures for GANs
Accepted at the European Conference in Computer Vision (ECCV 2022)
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
This work evaluates the robustness of quality measures of generative models such as Inception Score (IS) and Fr\'echet Inception Distance (FID). Analogous to the vulnerability of deep models against a variety of adversarial attacks, we show that such metrics can also be manipulated by additive pixel perturbations. Ou...
[ { "created": "Mon, 31 Jan 2022 06:43:09 GMT", "version": "v1" }, { "created": "Wed, 20 Jul 2022 08:15:13 GMT", "version": "v2" } ]
2022-07-21
[ [ "Alfarra", "Motasem", "" ], [ "Pérez", "Juan C.", "" ], [ "Frühstück", "Anna", "" ], [ "Torr", "Philip H. S.", "" ], [ "Wonka", "Peter", "" ], [ "Ghanem", "Bernard", "" ] ]
This work evaluates the robustness of quality measures of generative models such as Inception Score (IS) and Fr\'echet Inception Distance (FID). Analogous to the vulnerability of deep models against a variety of adversarial attacks, we show that such metrics can also be manipulated by additive pixel perturbations. Our ...
1203.3537
Qian Zhu
Qian Zhu, Branislav Kveton, Lily Mummert, Padmanabhan Pillai
Automatic Tuning of Interactive Perception Applications
Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)
null
null
UAI-P-2010-PG-743-751
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive applications incorporating high-data rate sensing and computer vision are becoming possible due to novel runtime systems and the use of parallel computation resources. To allow interactive use, such applications require careful tuning of multiple application parameters to meet required fidelity and latenc...
[ { "created": "Thu, 15 Mar 2012 11:17:56 GMT", "version": "v1" } ]
2012-03-19
[ [ "Zhu", "Qian", "" ], [ "Kveton", "Branislav", "" ], [ "Mummert", "Lily", "" ], [ "Pillai", "Padmanabhan", "" ] ]
Interactive applications incorporating high-data rate sensing and computer vision are becoming possible due to novel runtime systems and the use of parallel computation resources. To allow interactive use, such applications require careful tuning of multiple application parameters to meet required fidelity and latency ...
2011.00099
Zhongliang Jiang
Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, and Nassir Navab
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback
Accepted for publication in IEEE Transactions on Industrial Electronics Video: https://www.youtube.com/watch?v=VAaNZL0I5ik
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ultrasound (US) imaging is widely employed for diagnosis and staging of peripheral vascular diseases (PVD), mainly due to its high availability and the fact it does not emit radiation. However, high inter-operator variability and a lack of repeatability of US image acquisition hinder the implementation of extensive s...
[ { "created": "Fri, 30 Oct 2020 20:39:27 GMT", "version": "v1" }, { "created": "Wed, 30 Jun 2021 10:44:29 GMT", "version": "v2" } ]
2021-07-01
[ [ "Jiang", "Zhongliang", "" ], [ "Li", "Zhenyu", "" ], [ "Grimm", "Matthias", "" ], [ "Zhou", "Mingchuan", "" ], [ "Esposito", "Marco", "" ], [ "Wein", "Wolfgang", "" ], [ "Stechele", "Walter", "" ], [ ...
Ultrasound (US) imaging is widely employed for diagnosis and staging of peripheral vascular diseases (PVD), mainly due to its high availability and the fact it does not emit radiation. However, high inter-operator variability and a lack of repeatability of US image acquisition hinder the implementation of extensive scr...
1907.08985
Weiwen Jiang
Weiwen Jiang, Edwin H.-M. Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference
Accepted by ESWEEK CODES+ISSS 2019, nominated as best paper. Appear in ACM TECS
ACM Transactions on Embedded Computing Systems (TECS)October 2019 Article No.: 67
10.1145/3358192
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time Deep Neural Network (DNN) inference with low-latency requirement has become increasingly important for numerous applications in both cloud computing (e.g., Apple's Siri) and edge computing (e.g., Google/Waymo's driverless car). FPGA-based DNN accelerators have demonstrated both superior flexibility and perf...
[ { "created": "Sun, 21 Jul 2019 15:16:12 GMT", "version": "v1" }, { "created": "Sat, 8 Feb 2020 22:59:03 GMT", "version": "v2" } ]
2020-02-11
[ [ "Jiang", "Weiwen", "" ], [ "Sha", "Edwin H. -M.", "" ], [ "Zhang", "Xinyi", "" ], [ "Yang", "Lei", "" ], [ "Zhuge", "Qingfeng", "" ], [ "Shi", "Yiyu", "" ], [ "Hu", "Jingtong", "" ] ]
Real-time Deep Neural Network (DNN) inference with low-latency requirement has become increasingly important for numerous applications in both cloud computing (e.g., Apple's Siri) and edge computing (e.g., Google/Waymo's driverless car). FPGA-based DNN accelerators have demonstrated both superior flexibility and perfor...
cs/9905003
Walter Eaves
Walter Eaves
Collective Choice Theory in Collaborative Computing
40 pages, 10 figures
null
null
null
cs.MA cs.DC
null
This paper presents some fundamental collective choice theory for information system designers, particularly those working in the field of computer-supported cooperative work. This paper is focused on a presentation of Arrow's Possibility and Impossibility theorems which form the fundamental boundary on the efficacy ...
[ { "created": "Mon, 10 May 1999 17:07:11 GMT", "version": "v1" } ]
2007-05-23
[ [ "Eaves", "Walter", "" ] ]
This paper presents some fundamental collective choice theory for information system designers, particularly those working in the field of computer-supported cooperative work. This paper is focused on a presentation of Arrow's Possibility and Impossibility theorems which form the fundamental boundary on the efficacy of...
1910.03497
Seyed Amjad Seyedi
Seyed Amjad Seyedi, S.Siamak Ghodsi, Fardin Akhlaghian, Mahdi Jalili, Parham Moradi
Self-Paced Multi-Label Learning with Diversity
null
null
null
null
cs.LG cs.IR stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
The major challenge of learning from multi-label data has arisen from the overwhelming size of label space which makes this problem NP-hard. This problem can be alleviated by gradually involving easy to hard tags into the learning process. Besides, the utilization of a diversity maintenance approach avoids overfittin...
[ { "created": "Tue, 8 Oct 2019 15:59:57 GMT", "version": "v1" } ]
2019-10-09
[ [ "Seyedi", "Seyed Amjad", "" ], [ "Ghodsi", "S. Siamak", "" ], [ "Akhlaghian", "Fardin", "" ], [ "Jalili", "Mahdi", "" ], [ "Moradi", "Parham", "" ] ]
The major challenge of learning from multi-label data has arisen from the overwhelming size of label space which makes this problem NP-hard. This problem can be alleviated by gradually involving easy to hard tags into the learning process. Besides, the utilization of a diversity maintenance approach avoids overfitting ...
2211.14360
Viktor Scherbakov
Viktor Scherbakov and Vladimir Mayorov
Finetuning BERT on Partially Annotated NER Corpora
6 pages, to be published in Proceedings of ISP RAS Open Conference 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Most Named Entity Recognition (NER) models operate under the assumption that training datasets are fully labelled. While it is valid for established datasets like CoNLL 2003 and OntoNotes, sometimes it is not feasible to obtain the complete dataset annotation. These situations may occur, for instance, after selective...
[ { "created": "Fri, 25 Nov 2022 19:54:30 GMT", "version": "v1" } ]
2022-11-29
[ [ "Scherbakov", "Viktor", "" ], [ "Mayorov", "Vladimir", "" ] ]
Most Named Entity Recognition (NER) models operate under the assumption that training datasets are fully labelled. While it is valid for established datasets like CoNLL 2003 and OntoNotes, sometimes it is not feasible to obtain the complete dataset annotation. These situations may occur, for instance, after selective a...
2201.07973
Qiang Liu
Qiang Liu, Yuru Zhang, Haoxin Wang
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing
Accepted by ICC 2022
null
null
null
cs.LG cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we explore crowdsourcing data from connected vehicles. Updating the map collaboratively is, however, challenging under constrained transmissi...
[ { "created": "Thu, 20 Jan 2022 03:18:41 GMT", "version": "v1" } ]
2022-01-21
[ [ "Liu", "Qiang", "" ], [ "Zhang", "Yuru", "" ], [ "Wang", "Haoxin", "" ] ]
High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we explore crowdsourcing data from connected vehicles. Updating the map collaboratively is, however, challenging under constrained transmission...
1611.07112
Manh Duong Phung
T. T. Hoang, P. M. Duong, N. T. T. Van, D. A. Viet, T. Q. Vinh
Development of an EKF-based localization algorithm using compass sensor and LRF
In 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012. arXiv admin note: substantial text overlap with arXiv:1611.07114
null
10.1109/ICARCV.2012.6485182
null
cs.RO cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the implementation of a perceptual system for a mobile robot. The system is designed and installed with modern sensors and multi-point communication channels. The goal is to equip the robot with a high level of perception to support a wide range of navigating applications including Internet-based ...
[ { "created": "Tue, 22 Nov 2016 00:29:58 GMT", "version": "v1" } ]
2017-01-05
[ [ "Hoang", "T. T.", "" ], [ "Duong", "P. M.", "" ], [ "Van", "N. T. T.", "" ], [ "Viet", "D. A.", "" ], [ "Vinh", "T. Q.", "" ] ]
This paper presents the implementation of a perceptual system for a mobile robot. The system is designed and installed with modern sensors and multi-point communication channels. The goal is to equip the robot with a high level of perception to support a wide range of navigating applications including Internet-based te...
1811.04748
Tim Pfeifer
Tim Pfeifer and Peter Protzel
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization
7 pages, 4 figures, Small fixes on Eqation. (9) and (19)
2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 3151-3157
10.1109/ICRA.2019.8793601
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-Gaussian and multimodal distributions are an important part of many recent robust sensor fusion algorithms. In difference to robust cost functions, they are probabilistically founded and have good convergence properties. Since their robustness depends on a close approximation of the real error distribution, their...
[ { "created": "Mon, 12 Nov 2018 14:47:42 GMT", "version": "v1" }, { "created": "Wed, 27 Feb 2019 14:05:04 GMT", "version": "v2" }, { "created": "Mon, 13 Jan 2020 15:36:12 GMT", "version": "v3" } ]
2020-01-14
[ [ "Pfeifer", "Tim", "" ], [ "Protzel", "Peter", "" ] ]
Non-Gaussian and multimodal distributions are an important part of many recent robust sensor fusion algorithms. In difference to robust cost functions, they are probabilistically founded and have good convergence properties. Since their robustness depends on a close approximation of the real error distribution, their p...
2106.00444
Tor Lattimore
Tor Lattimore
Minimax Regret for Bandit Convex Optimisation of Ridge Functions
Correcting an (instructive) error that leads to a weaker result
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyse adversarial bandit convex optimisation with an adversary that is restricted to playing functions of the form $f_t(x) = g_t(\langle x, \theta\rangle)$ for convex $g_t : \mathbb R \to \mathbb R$ and unknown $\theta \in \mathbb R^d$ that is homogeneous over time. We provide a short information-theoretic proof...
[ { "created": "Tue, 1 Jun 2021 12:51:48 GMT", "version": "v1" }, { "created": "Sun, 6 Jun 2021 21:34:35 GMT", "version": "v2" } ]
2021-06-08
[ [ "Lattimore", "Tor", "" ] ]
We analyse adversarial bandit convex optimisation with an adversary that is restricted to playing functions of the form $f_t(x) = g_t(\langle x, \theta\rangle)$ for convex $g_t : \mathbb R \to \mathbb R$ and unknown $\theta \in \mathbb R^d$ that is homogeneous over time. We provide a short information-theoretic proof t...
1509.08825
Donald Stull
Xiang Huang, D. M. Stull
Polynomial Space Randomness in Analysis
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the interaction between polynomial space randomness and a fundamental result of analysis, the Lebesgue differentiation theorem. We generalize Ko's framework for polynomial space computability in $\mathbb{R}^n$ to define \textit{weakly pspace-random} points, a new variant of polynomial space randomness. We sh...
[ { "created": "Tue, 29 Sep 2015 16:00:05 GMT", "version": "v1" }, { "created": "Tue, 26 Apr 2016 15:19:03 GMT", "version": "v2" } ]
2016-04-27
[ [ "Huang", "Xiang", "" ], [ "Stull", "D. M.", "" ] ]
We study the interaction between polynomial space randomness and a fundamental result of analysis, the Lebesgue differentiation theorem. We generalize Ko's framework for polynomial space computability in $\mathbb{R}^n$ to define \textit{weakly pspace-random} points, a new variant of polynomial space randomness. We show...
2112.12294
Hirad Assimi
Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann
Run-of-Mine Stockyard Recovery Scheduling and Optimisation for Multiple Reclaimers
null
null
null
null
cs.NE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Stockpiles are essential in the mining value chain, assisting in maximising value and production. Quality control of taken minerals from the stockpiles is a major concern for stockpile managers where failure to meet some requirements can lead to losing money. This problem was recently investigated using a single recl...
[ { "created": "Thu, 23 Dec 2021 01:00:45 GMT", "version": "v1" } ]
2021-12-24
[ [ "Assimi", "Hirad", "" ], [ "Koch", "Ben", "" ], [ "Garcia", "Chris", "" ], [ "Wagner", "Markus", "" ], [ "Neumann", "Frank", "" ] ]
Stockpiles are essential in the mining value chain, assisting in maximising value and production. Quality control of taken minerals from the stockpiles is a major concern for stockpile managers where failure to meet some requirements can lead to losing money. This problem was recently investigated using a single reclai...
2404.02655
Mozhi Zhang
Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
17 pages, 13 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large language models optimized with techniques like RLHF have achieved good alignment in being helpful and harmless. However, post-alignment, these language models often exhibit overconfidence, where the expressed confidence does not accurately calibrate with their correctness rate. In this paper, we decompose the l...
[ { "created": "Wed, 3 Apr 2024 11:36:12 GMT", "version": "v1" } ]
2024-04-04
[ [ "Zhang", "Mozhi", "" ], [ "Huang", "Mianqiu", "" ], [ "Shi", "Rundong", "" ], [ "Guo", "Linsen", "" ], [ "Peng", "Chong", "" ], [ "Yan", "Peng", "" ], [ "Zhou", "Yaqian", "" ], [ "Qiu", "Xipeng"...
Large language models optimized with techniques like RLHF have achieved good alignment in being helpful and harmless. However, post-alignment, these language models often exhibit overconfidence, where the expressed confidence does not accurately calibrate with their correctness rate. In this paper, we decompose the lan...
2004.05251
Gowri Sankar Ramachandran Dr
Arvin Hekmati, Gowri Ramachandran, Bhaskar Krishnamachari
CONTAIN: Privacy-oriented Contact Tracing Protocols for Epidemics
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pandemic and epidemic diseases such as CoVID-19, SARS-CoV2, and Ebola have spread to multiple countries and infected thousands of people. Such diseases spread mainly through person-to-person contacts. Health care authorities recommend contact tracing procedures to prevent the spread to a vast population. Although sev...
[ { "created": "Fri, 10 Apr 2020 22:50:06 GMT", "version": "v1" } ]
2020-04-14
[ [ "Hekmati", "Arvin", "" ], [ "Ramachandran", "Gowri", "" ], [ "Krishnamachari", "Bhaskar", "" ] ]
Pandemic and epidemic diseases such as CoVID-19, SARS-CoV2, and Ebola have spread to multiple countries and infected thousands of people. Such diseases spread mainly through person-to-person contacts. Health care authorities recommend contact tracing procedures to prevent the spread to a vast population. Although sever...
1811.11212
Neil Houlsby
Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
Self-Supervised GANs via Auxiliary Rotation Loss
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conditional GANs are at the forefront of natural image synthesis. The main drawback of such models is the necessity for labeled data. In this work we exploit two popular unsupervised learning techniques, adversarial training and self-supervision, and take a step towards bridging the gap between conditional and uncond...
[ { "created": "Tue, 27 Nov 2018 19:30:40 GMT", "version": "v1" }, { "created": "Tue, 9 Apr 2019 14:25:35 GMT", "version": "v2" } ]
2019-04-10
[ [ "Chen", "Ting", "" ], [ "Zhai", "Xiaohua", "" ], [ "Ritter", "Marvin", "" ], [ "Lucic", "Mario", "" ], [ "Houlsby", "Neil", "" ] ]
Conditional GANs are at the forefront of natural image synthesis. The main drawback of such models is the necessity for labeled data. In this work we exploit two popular unsupervised learning techniques, adversarial training and self-supervision, and take a step towards bridging the gap between conditional and uncondit...