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1412.6575
Bishan Yang
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
12 pages, 4 figures
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider learning representations of entities and relations in KBs using the neural-embedding approach. We show that most existing models, including NTN (Socher et al., 2013) and TransE (Bordes et al., 2013b), can be generalized under a unified learning framework, where entities are low-dimensional vectors learned...
[ { "created": "Sat, 20 Dec 2014 01:37:16 GMT", "version": "v1" }, { "created": "Sat, 27 Dec 2014 00:18:17 GMT", "version": "v2" }, { "created": "Fri, 10 Apr 2015 15:24:59 GMT", "version": "v3" }, { "created": "Sat, 29 Aug 2015 15:08:45 GMT", "version": "v4" } ]
2015-09-01
[ [ "Yang", "Bishan", "" ], [ "Yih", "Wen-tau", "" ], [ "He", "Xiaodong", "" ], [ "Gao", "Jianfeng", "" ], [ "Deng", "Li", "" ] ]
We consider learning representations of entities and relations in KBs using the neural-embedding approach. We show that most existing models, including NTN (Socher et al., 2013) and TransE (Bordes et al., 2013b), can be generalized under a unified learning framework, where entities are low-dimensional vectors learned f...
2309.05295
Karlis Freivalds
Karlis Freivalds, Emils Ozolins, Guntis Barzdins
Discrete Denoising Diffusion Approach to Integer Factorization
International Conference on Artificial Neural Networks ICANN 2023
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integer factorization is a famous computational problem unknown whether being solvable in the polynomial time. With the rise of deep neural networks, it is interesting whether they can facilitate faster factorization. We present an approach to factorization utilizing deep neural networks and discrete denoising diffus...
[ { "created": "Mon, 11 Sep 2023 08:26:08 GMT", "version": "v1" } ]
2023-09-12
[ [ "Freivalds", "Karlis", "" ], [ "Ozolins", "Emils", "" ], [ "Barzdins", "Guntis", "" ] ]
Integer factorization is a famous computational problem unknown whether being solvable in the polynomial time. With the rise of deep neural networks, it is interesting whether they can facilitate faster factorization. We present an approach to factorization utilizing deep neural networks and discrete denoising diffusio...
1404.4997
Eric Price
Moritz Hardt and Eric Price
Tight bounds for learning a mixture of two gaussians
STOC 2015
null
null
null
cs.LG cs.DS stat.ML
http://creativecommons.org/licenses/by-nc-sa/3.0/
We consider the problem of identifying the parameters of an unknown mixture of two arbitrary $d$-dimensional gaussians from a sequence of independent random samples. Our main results are upper and lower bounds giving a computationally efficient moment-based estimator with an optimal convergence rate, thus resolving a...
[ { "created": "Sat, 19 Apr 2014 23:59:35 GMT", "version": "v1" }, { "created": "Mon, 8 Dec 2014 22:15:35 GMT", "version": "v2" }, { "created": "Sun, 17 May 2015 04:47:58 GMT", "version": "v3" } ]
2015-05-19
[ [ "Hardt", "Moritz", "" ], [ "Price", "Eric", "" ] ]
We consider the problem of identifying the parameters of an unknown mixture of two arbitrary $d$-dimensional gaussians from a sequence of independent random samples. Our main results are upper and lower bounds giving a computationally efficient moment-based estimator with an optimal convergence rate, thus resolving a p...
2009.08936
Majdi Radaideh
Majdi I. Radaideh, Koroush Shirvan
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay
10 pages, 4 figures, 2 tables
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose PESA, a novel approach combining Particle Swarm Optimisation (PSO), Evolution Strategy (ES), and Simulated Annealing (SA) in a hybrid Algorithm, inspired from reinforcement learning. PESA hybridizes the three algorithms by storing their solutions in a shared replay memory. Next, PESA applies prioritized re...
[ { "created": "Mon, 10 Aug 2020 17:27:30 GMT", "version": "v1" } ]
2020-09-21
[ [ "Radaideh", "Majdi I.", "" ], [ "Shirvan", "Koroush", "" ] ]
We propose PESA, a novel approach combining Particle Swarm Optimisation (PSO), Evolution Strategy (ES), and Simulated Annealing (SA) in a hybrid Algorithm, inspired from reinforcement learning. PESA hybridizes the three algorithms by storing their solutions in a shared replay memory. Next, PESA applies prioritized repl...
1210.4081
Bogdan Savchynskyy
Bogdan Savchynskyy and Stefan Schmidt
Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study
20 page, 4 figures
null
null
null
cs.NA cs.CV cs.DS cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a method for construction of approximate feasible primal solutions from dual ones for large-scale optimization problems possessing certain separability properties. Whereas infeasible primal estimates can typically be produced from (sub-)gradients of the dual function, it is often not easy to proje...
[ { "created": "Mon, 15 Oct 2012 15:55:34 GMT", "version": "v1" } ]
2012-10-16
[ [ "Savchynskyy", "Bogdan", "" ], [ "Schmidt", "Stefan", "" ] ]
This paper proposes a method for construction of approximate feasible primal solutions from dual ones for large-scale optimization problems possessing certain separability properties. Whereas infeasible primal estimates can typically be produced from (sub-)gradients of the dual function, it is often not easy to project...
1804.03082
Hadi Kazemi
Hadi Kazemi, Sobhan Soleymani, Ali Dabouei, Mehdi Iranmanesh, Nasser M. Nasrabadi
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition
Accepted as a conference paper on CVPRW 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face sketches are able to capture the spatial topology of a face while lacking some facial attributes such as race, skin, or hair color. Existing sketch-photo recognition approaches have mostly ignored the importance of facial attributes. In this paper, we propose a new loss function, called attribute-centered loss, ...
[ { "created": "Mon, 9 Apr 2018 16:15:50 GMT", "version": "v1" } ]
2018-04-10
[ [ "Kazemi", "Hadi", "" ], [ "Soleymani", "Sobhan", "" ], [ "Dabouei", "Ali", "" ], [ "Iranmanesh", "Mehdi", "" ], [ "Nasrabadi", "Nasser M.", "" ] ]
Face sketches are able to capture the spatial topology of a face while lacking some facial attributes such as race, skin, or hair color. Existing sketch-photo recognition approaches have mostly ignored the importance of facial attributes. In this paper, we propose a new loss function, called attribute-centered loss, to...
1706.10076
Pavel Kucherbaev
Pavel Kucherbaev, Achilleas Psyllidis, Alessandro Bozzon
Chatbots as Conversational Recommender Systems in Urban Contexts
2 pages, 1 figure, 1 table
null
null
null
cs.SI cs.CY cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of how some challenges associated with such chatbot systems could be addressed i...
[ { "created": "Fri, 30 Jun 2017 09:24:39 GMT", "version": "v1" }, { "created": "Wed, 9 Aug 2017 09:03:49 GMT", "version": "v2" } ]
2017-08-10
[ [ "Kucherbaev", "Pavel", "" ], [ "Psyllidis", "Achilleas", "" ], [ "Bozzon", "Alessandro", "" ] ]
In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of how some challenges associated with such chatbot systems could be addressed in ...
1907.05609
Qianwen Wang
Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu
Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs
9 pages, published at IEEE InfoVis 2018,
IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 779-788, Jan. 2019
10.1109/TVCG.2018.2865232
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored for this purpose. In this study, we present Narvis, a slideshow authoring tool designed for introducing data visualizations to ...
[ { "created": "Fri, 12 Jul 2019 08:14:18 GMT", "version": "v1" } ]
2019-08-21
[ [ "Wang", "Qianwen", "" ], [ "Li", "Zhen", "" ], [ "Fu", "Siwei", "" ], [ "Cui", "Weiwei", "" ], [ "Qu", "Huamin", "" ] ]
Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored for this purpose. In this study, we present Narvis, a slideshow authoring tool designed for introducing data visualizations to no...
1705.08218
Xiaojian Wu
Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes
XOR-Sampling for Network Design with Correlated Stochastic Events
In Proceedings of the Twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17). The first two authors contribute equally
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many network optimization problems can be formulated as stochastic network design problems in which edges are present or absent stochastically. Furthermore, protective actions can guarantee that edges will remain present. We consider the problem of finding the optimal protection strategy under a budget limit in order...
[ { "created": "Tue, 23 May 2017 12:50:36 GMT", "version": "v1" }, { "created": "Wed, 24 May 2017 01:38:57 GMT", "version": "v2" } ]
2017-05-25
[ [ "Wu", "Xiaojian", "" ], [ "Xue", "Yexiang", "" ], [ "Selman", "Bart", "" ], [ "Gomes", "Carla P.", "" ] ]
Many network optimization problems can be formulated as stochastic network design problems in which edges are present or absent stochastically. Furthermore, protective actions can guarantee that edges will remain present. We consider the problem of finding the optimal protection strategy under a budget limit in order t...
2402.17104
Robert Bassett
Robert L. Bassett, Austin Van Dellen, Anthony P. Austin
Adversarial Perturbations of Physical Signals
null
null
null
null
cs.LG cs.CR eess.SP math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the vulnerability of computer-vision-based signal classifiers to adversarial perturbations of their inputs, where the signals and perturbations are subject to physical constraints. We consider a scenario in which a source and interferer emit signals that propagate as waves to a detector, which attempts...
[ { "created": "Tue, 27 Feb 2024 00:41:00 GMT", "version": "v1" } ]
2024-02-28
[ [ "Bassett", "Robert L.", "" ], [ "Van Dellen", "Austin", "" ], [ "Austin", "Anthony P.", "" ] ]
We investigate the vulnerability of computer-vision-based signal classifiers to adversarial perturbations of their inputs, where the signals and perturbations are subject to physical constraints. We consider a scenario in which a source and interferer emit signals that propagate as waves to a detector, which attempts t...
1007.3353
Laurent Hubert
Laurent Hubert (INRIA - IRISA), Nicolas Barr\'e (INRIA - IRISA), Fr\'ed\'eric Besson (INRIA - IRISA), Delphine Demange (INRIA - IRISA), Thomas Jensen (INRIA - IRISA), Vincent Monfort (INRIA - IRISA), David Pichardie (INRIA - IRISA), Tiphaine Turpin (INRIA - IRISA)
Sawja: Static Analysis Workshop for Java
null
The International Conference on Formal Verification of Object-Oriented Software 2010.13 (2010) 253--267
10.1007/978-3-642-18070-5_7
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Static analysis is a powerful technique for automatic verification of programs but raises major engineering challenges when developing a full-fledged analyzer for a realistic language such as Java. This paper describes the Sawja library: a static analysis framework fully compliant with Java 6 which provides OCaml mod...
[ { "created": "Tue, 20 Jul 2010 07:03:59 GMT", "version": "v1" } ]
2015-05-19
[ [ "Hubert", "Laurent", "", "INRIA - IRISA" ], [ "Barré", "Nicolas", "", "INRIA - IRISA" ], [ "Besson", "Frédéric", "", "INRIA - IRISA" ], [ "Demange", "Delphine", "", "INRIA - IRISA" ], [ "Jensen", "Thomas", "", "INRIA -...
Static analysis is a powerful technique for automatic verification of programs but raises major engineering challenges when developing a full-fledged analyzer for a realistic language such as Java. This paper describes the Sawja library: a static analysis framework fully compliant with Java 6 which provides OCaml modul...
1804.06926
Leyuan Wang
Leyuan Wang, Yangzihao Wang, Carl Yang and John D. Owens
A Comparative Study on Exact Triangle Counting Algorithms on the GPU
7 pages, 6 figures and 2 tables
null
10.1145/2915516.2915521
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We implement exact triangle counting in graphs on the GPU using three different methodologies: subgraph matching to a triangle pattern; programmable graph analytics, with a set-intersection approach; and a matrix formulation based on sparse matrix-matrix multiplies. All three deliver best-of-class performance over CP...
[ { "created": "Wed, 18 Apr 2018 21:51:59 GMT", "version": "v1" } ]
2018-04-20
[ [ "Wang", "Leyuan", "" ], [ "Wang", "Yangzihao", "" ], [ "Yang", "Carl", "" ], [ "Owens", "John D.", "" ] ]
We implement exact triangle counting in graphs on the GPU using three different methodologies: subgraph matching to a triangle pattern; programmable graph analytics, with a set-intersection approach; and a matrix formulation based on sparse matrix-matrix multiplies. All three deliver best-of-class performance over CPU ...
1611.03841
Jie Xu
Jie Xu, Lixing Chen, Kun Liu, Cong Shen
Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication
null
null
null
null
cs.GT cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computation offloading via device-to-device (D2D) communication, or D2D offloading, has recently been proposed to enhance mobile computing performance by exploiting spare computing resources of nearby user devices. The success of D2D offloading relies on user participation in collaborative service provisioning, which...
[ { "created": "Fri, 11 Nov 2016 20:22:25 GMT", "version": "v1" }, { "created": "Fri, 22 Sep 2017 02:40:12 GMT", "version": "v2" } ]
2017-09-25
[ [ "Xu", "Jie", "" ], [ "Chen", "Lixing", "" ], [ "Liu", "Kun", "" ], [ "Shen", "Cong", "" ] ]
Computation offloading via device-to-device (D2D) communication, or D2D offloading, has recently been proposed to enhance mobile computing performance by exploiting spare computing resources of nearby user devices. The success of D2D offloading relies on user participation in collaborative service provisioning, which i...
2403.09070
Yuxuan Zhao
Yuxuan Zhao, Peiyu Liao, Siting Liu, Jiaxi Jiang, Yibo Lin, Bei Yu
Analytical Heterogeneous Die-to-Die 3D Placement with Macros
null
null
null
null
cs.AR
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper presents an innovative approach to 3D mixed-size placement in heterogeneous face-to-face (F2F) bonded 3D ICs. We propose an analytical framework that utilizes a dedicated density model and a bistratal wirelength model, effectively handling macros and standard cells in a 3D solution space. A novel 3D precon...
[ { "created": "Thu, 14 Mar 2024 03:26:08 GMT", "version": "v1" }, { "created": "Tue, 13 Aug 2024 13:00:42 GMT", "version": "v2" } ]
2024-08-14
[ [ "Zhao", "Yuxuan", "" ], [ "Liao", "Peiyu", "" ], [ "Liu", "Siting", "" ], [ "Jiang", "Jiaxi", "" ], [ "Lin", "Yibo", "" ], [ "Yu", "Bei", "" ] ]
This paper presents an innovative approach to 3D mixed-size placement in heterogeneous face-to-face (F2F) bonded 3D ICs. We propose an analytical framework that utilizes a dedicated density model and a bistratal wirelength model, effectively handling macros and standard cells in a 3D solution space. A novel 3D precondi...
2407.02856
Adrian Pekar
Adrian Pekar and Richard Jozsa
Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows
9 pages, 5 tables, 2 figures
null
null
null
cs.LG cs.CR
http://creativecommons.org/licenses/by/4.0/
This study investigates the efficacy of machine learning models, specifically Random Forest, in anomaly detection systems when trained on complete flow records and tested on partial flow data. We explore the performance disparity that arises when models are applied to incomplete data typical in real-world, real-time ...
[ { "created": "Wed, 3 Jul 2024 07:14:25 GMT", "version": "v1" } ]
2024-07-04
[ [ "Pekar", "Adrian", "" ], [ "Jozsa", "Richard", "" ] ]
This study investigates the efficacy of machine learning models, specifically Random Forest, in anomaly detection systems when trained on complete flow records and tested on partial flow data. We explore the performance disparity that arises when models are applied to incomplete data typical in real-world, real-time ne...
1106.1803
H. Blockeel
H. Blockeel, L. Dehaspe, B. Demoen, G. Janssens, J. Ramon, H. Vandecasteele
Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs
null
Journal Of Artificial Intelligence Research, Volume 16, pages 135-166, 2002
10.1613/jair.924
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inductive logic programming, or relational learning, is a powerful paradigm for machine learning or data mining. However, in order for ILP to become practically useful, the efficiency of ILP systems must improve substantially. To this end, the notion of a query pack is introduced: it structures sets of similar querie...
[ { "created": "Thu, 9 Jun 2011 13:19:53 GMT", "version": "v1" } ]
2011-06-10
[ [ "Blockeel", "H.", "" ], [ "Dehaspe", "L.", "" ], [ "Demoen", "B.", "" ], [ "Janssens", "G.", "" ], [ "Ramon", "J.", "" ], [ "Vandecasteele", "H.", "" ] ]
Inductive logic programming, or relational learning, is a powerful paradigm for machine learning or data mining. However, in order for ILP to become practically useful, the efficiency of ILP systems must improve substantially. To this end, the notion of a query pack is introduced: it structures sets of similar queries....
1609.03938
Erel Segal-Halevi
Erel Segal-Halevi, Shmuel Nitzan, Avinatan Hassidim, Yonatan Aumann
Envy-Free Division of Land
A preliminary version named 'Envy-free cake-cutting in two dimensions' appeared in the proceedings of AAAI 2015 (https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/viewPaper/9656). The main additions here are: (a) handling multi-dimensional resources of arbitrary shape rather than just rectangles, (b) handlin...
null
10.1287/moor.2019.1016
null
cs.GT cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Classic cake-cutting algorithms enable people with different preferences to divide among them a heterogeneous resource (``cake''), such that the resulting division is fair according to each agent's individual preferences. However, these algorithms either ignore the geometry of the resource altogether, or assume it is...
[ { "created": "Tue, 13 Sep 2016 17:07:32 GMT", "version": "v1" }, { "created": "Sat, 9 Mar 2019 19:22:15 GMT", "version": "v2" } ]
2021-08-06
[ [ "Segal-Halevi", "Erel", "" ], [ "Nitzan", "Shmuel", "" ], [ "Hassidim", "Avinatan", "" ], [ "Aumann", "Yonatan", "" ] ]
Classic cake-cutting algorithms enable people with different preferences to divide among them a heterogeneous resource (``cake''), such that the resulting division is fair according to each agent's individual preferences. However, these algorithms either ignore the geometry of the resource altogether, or assume it is o...
2404.17428
Manuel Dubinsky
Manuel Dubinsky, Kun-Mao Chao, C\'esar Massri, Gabriel Taubin
Lower Bounds for the Minimum Spanning Tree Cycle Intersection Problem
arXiv admin note: substantial text overlap with arXiv:2301.07643
null
null
null
cs.DM
http://creativecommons.org/licenses/by/4.0/
Minimum spanning trees are important tools in the analysis and design of networks. Many practical applications require their computation, ranging from biology and linguistics to economy and telecommunications. The set of cycles of a network has a vector space structure. Given a spanning tree, the set of non-tree edge...
[ { "created": "Fri, 26 Apr 2024 14:08:36 GMT", "version": "v1" } ]
2024-04-29
[ [ "Dubinsky", "Manuel", "" ], [ "Chao", "Kun-Mao", "" ], [ "Massri", "César", "" ], [ "Taubin", "Gabriel", "" ] ]
Minimum spanning trees are important tools in the analysis and design of networks. Many practical applications require their computation, ranging from biology and linguistics to economy and telecommunications. The set of cycles of a network has a vector space structure. Given a spanning tree, the set of non-tree edges ...
2303.10590
Minh Tran
Yufeng Yin, Minh Tran, Di Chang, Xinrui Wang, Mohammad Soleymani
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild
8 pages, 7 figures, 5 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip tightening and cheek raising. This paper presents our submission to the Affective Behavior Analysis in-the-wild (ABAW) 2023 Competition fo...
[ { "created": "Sun, 19 Mar 2023 07:18:14 GMT", "version": "v1" }, { "created": "Thu, 23 Mar 2023 00:35:40 GMT", "version": "v2" }, { "created": "Mon, 17 Apr 2023 20:17:55 GMT", "version": "v3" } ]
2023-04-19
[ [ "Yin", "Yufeng", "" ], [ "Tran", "Minh", "" ], [ "Chang", "Di", "" ], [ "Wang", "Xinrui", "" ], [ "Soleymani", "Mohammad", "" ] ]
Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip tightening and cheek raising. This paper presents our submission to the Affective Behavior Analysis in-the-wild (ABAW) 2023 Competition for ...
2310.02807
Zijie Geng
Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the past few years, there has been an explosive surge in the use of machine learning (ML) techniques to address combinatorial optimization (CO) problems, especially mixed-integer linear programs (MILPs). Despite the achievements, the limited availability of real-world instances often leads to sub-optimal decisions...
[ { "created": "Wed, 4 Oct 2023 13:34:34 GMT", "version": "v1" }, { "created": "Sat, 28 Oct 2023 12:10:46 GMT", "version": "v2" }, { "created": "Mon, 11 Mar 2024 10:51:14 GMT", "version": "v3" } ]
2024-03-12
[ [ "Geng", "Zijie", "" ], [ "Li", "Xijun", "" ], [ "Wang", "Jie", "" ], [ "Li", "Xiao", "" ], [ "Zhang", "Yongdong", "" ], [ "Wu", "Feng", "" ] ]
In the past few years, there has been an explosive surge in the use of machine learning (ML) techniques to address combinatorial optimization (CO) problems, especially mixed-integer linear programs (MILPs). Despite the achievements, the limited availability of real-world instances often leads to sub-optimal decisions a...
2102.00287
Eva Vanmassenhove
Eva Vanmassenhove, Dimitar Shterionov, Matthew Gwilliam
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation
null
null
null
null
cs.CL cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
Recent studies in the field of Machine Translation (MT) and Natural Language Processing (NLP) have shown that existing models amplify biases observed in the training data. The amplification of biases in language technology has mainly been examined with respect to specific phenomena, such as gender bias. In this work,...
[ { "created": "Sat, 30 Jan 2021 18:49:11 GMT", "version": "v1" } ]
2021-02-02
[ [ "Vanmassenhove", "Eva", "" ], [ "Shterionov", "Dimitar", "" ], [ "Gwilliam", "Matthew", "" ] ]
Recent studies in the field of Machine Translation (MT) and Natural Language Processing (NLP) have shown that existing models amplify biases observed in the training data. The amplification of biases in language technology has mainly been examined with respect to specific phenomena, such as gender bias. In this work, w...
0805.0873
EDA Publishing Association
Hela Boussetta (TIMA), S. Basrour (TIMA), M. Marzencki (TIMA)
Top-Down Behavioral Modeling Methodology of a Piezoelectric Microgenerator For Integrated Power Harvesting Systems
Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/handle/2042/16838)
Dans Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - DTIP 2008, Nice : France (2008)
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this study, we developed a top/down methodology for behavioral and structural modeling of multi-domain microsystems. Then, we validated this methodology through a study case : a piezoelectric microgenerator. We also proved the effectiveness of VHDL-AMS language not only for modeling in behavioral and structural le...
[ { "created": "Wed, 7 May 2008 09:00:16 GMT", "version": "v1" } ]
2008-12-18
[ [ "Boussetta", "Hela", "", "TIMA" ], [ "Basrour", "S.", "", "TIMA" ], [ "Marzencki", "M.", "", "TIMA" ] ]
In this study, we developed a top/down methodology for behavioral and structural modeling of multi-domain microsystems. Then, we validated this methodology through a study case : a piezoelectric microgenerator. We also proved the effectiveness of VHDL-AMS language not only for modeling in behavioral and structural leve...
2405.00885
Huai-An Su
Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Xin Fu and Miao Pan
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
null
null
null
null
cs.LG cs.NI eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a popular distributed learning paradigm, federated learning (FL) over mobile devices fosters numerous applications, while their practical deployment is hindered by participating devices' computing and communication heterogeneity. Some pioneering research efforts proposed to extract subnetworks from the global mode...
[ { "created": "Wed, 1 May 2024 22:01:40 GMT", "version": "v1" } ]
2024-05-03
[ [ "Su", "Huai-an", "" ], [ "Geng", "Jiaxiang", "" ], [ "Li", "Liang", "" ], [ "Qin", "Xiaoqi", "" ], [ "Hou", "Yanzhao", "" ], [ "Fu", "Xin", "" ], [ "Pan", "Miao", "" ] ]
As a popular distributed learning paradigm, federated learning (FL) over mobile devices fosters numerous applications, while their practical deployment is hindered by participating devices' computing and communication heterogeneity. Some pioneering research efforts proposed to extract subnetworks from the global model,...
2402.15145
Hongxun Wu
Xin Lyu, Hongxun Wu, Junzhao Yang
The Cost of Parallelizing Boosting
appeared in SODA 2024
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the cost of parallelizing weak-to-strong boosting algorithms for learning, following the recent work of Karbasi and Larsen. Our main results are two-fold: - First, we prove a tight lower bound, showing that even "slight" parallelization of boosting requires an exponential blow-up in the complexity of train...
[ { "created": "Fri, 23 Feb 2024 07:03:52 GMT", "version": "v1" } ]
2024-02-26
[ [ "Lyu", "Xin", "" ], [ "Wu", "Hongxun", "" ], [ "Yang", "Junzhao", "" ] ]
We study the cost of parallelizing weak-to-strong boosting algorithms for learning, following the recent work of Karbasi and Larsen. Our main results are two-fold: - First, we prove a tight lower bound, showing that even "slight" parallelization of boosting requires an exponential blow-up in the complexity of training....
2404.00728
Luis Morales-Navarro
Luis Morales-Navarro and Yasmin B. Kafai
Investigating Youths' Everyday Understanding of Machine Learning Applications: a Knowledge-in-Pieces Perspective
accepted for publication at Proceedings of the International Conference of the Learning Sciences 2024
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Despite recent calls for including artificial intelligence (AI) literacy in K-12 education, not enough attention has been paid to studying youths' everyday knowledge about machine learning (ML). Most research has examined how youths attribute intelligence to AI/ML systems. Other studies have centered on youths' theor...
[ { "created": "Sun, 31 Mar 2024 16:11:33 GMT", "version": "v1" } ]
2024-04-02
[ [ "Morales-Navarro", "Luis", "" ], [ "Kafai", "Yasmin B.", "" ] ]
Despite recent calls for including artificial intelligence (AI) literacy in K-12 education, not enough attention has been paid to studying youths' everyday knowledge about machine learning (ML). Most research has examined how youths attribute intelligence to AI/ML systems. Other studies have centered on youths' theorie...
2103.00497
Aryan Asadian
Aryan Asadian, Amirali Salehi-Abari
Distilling Knowledge via Intermediate Classifiers
8 pages, 2 figures
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The crux of knowledge distillation is to effectively train a resource-limited student model with the guide of a pre-trained larger teacher model. However, when there is a large difference between the model complexities of teacher and student (i.e., capacity gap), knowledge distillation loses its strength in transferr...
[ { "created": "Sun, 28 Feb 2021 12:52:52 GMT", "version": "v1" }, { "created": "Mon, 31 May 2021 13:20:57 GMT", "version": "v2" } ]
2021-06-01
[ [ "Asadian", "Aryan", "" ], [ "Salehi-Abari", "Amirali", "" ] ]
The crux of knowledge distillation is to effectively train a resource-limited student model with the guide of a pre-trained larger teacher model. However, when there is a large difference between the model complexities of teacher and student (i.e., capacity gap), knowledge distillation loses its strength in transferrin...
1708.06805
Jordi Levy
Carlos Ans\'otegui, Maria Luisa Bonet, Jordi Levy
Scale-Free Random SAT Instances
null
Algorithms 15(6): 219 (2022)
10.3390/a15060219
null
cs.CC math.CO math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on the random generation of SAT instances that have properties similar to real-world instances. It is known that many industrial instances, even with a great number of variables, can be solved by a clever solver in a reasonable amount of time. This is not possible, in general, with classical randomly generat...
[ { "created": "Wed, 12 Jul 2017 19:21:19 GMT", "version": "v1" }, { "created": "Tue, 9 Apr 2019 16:49:29 GMT", "version": "v2" }, { "created": "Wed, 17 Jul 2019 21:49:35 GMT", "version": "v3" } ]
2023-03-14
[ [ "Ansótegui", "Carlos", "" ], [ "Bonet", "Maria Luisa", "" ], [ "Levy", "Jordi", "" ] ]
We focus on the random generation of SAT instances that have properties similar to real-world instances. It is known that many industrial instances, even with a great number of variables, can be solved by a clever solver in a reasonable amount of time. This is not possible, in general, with classical randomly generated...
1510.00921
Chunhua Shen
Lingqiao Liu, Chunhua Shen, Anton van den Hengel
Cross-convolutional-layer Pooling for Image Recognition
Fixed typos. Journal extension of arXiv:1411.7466. Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have shown that a Deep Convolutional Neural Network (DCNN) pretrained on a large image dataset can be used as a universal image descriptor, and that doing so leads to impressive performance for a variety of image classification tasks. Most of these studies adopt activations from a single DCNN layer, us...
[ { "created": "Sun, 4 Oct 2015 10:27:36 GMT", "version": "v1" }, { "created": "Thu, 9 Jun 2016 07:37:09 GMT", "version": "v2" }, { "created": "Sun, 23 Oct 2016 05:48:16 GMT", "version": "v3" }, { "created": "Wed, 7 Dec 2016 00:00:42 GMT", "version": "v4" }, { "crea...
2016-12-23
[ [ "Liu", "Lingqiao", "" ], [ "Shen", "Chunhua", "" ], [ "Hengel", "Anton van den", "" ] ]
Recent studies have shown that a Deep Convolutional Neural Network (DCNN) pretrained on a large image dataset can be used as a universal image descriptor, and that doing so leads to impressive performance for a variety of image classification tasks. Most of these studies adopt activations from a single DCNN layer, usua...
2403.15122
Sacha-\'Elie Ayoun
Sacha-\'Elie Ayoun, Xavier Denis, Petar Maksimovi\'c, Philippa Gardner
A hybrid approach to semi-automated Rust verification
22 pages, 8 figures, preprint
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
While recent years have been witness to a large body of work on efficient and automated verification of safe Rust code, enabled by the rich guarantees of the Rust type system, much less progress has been made on reasoning about unsafe code due to its unique complexities. We propose a hybrid approach to end-to-end Rus...
[ { "created": "Fri, 22 Mar 2024 11:24:31 GMT", "version": "v1" } ]
2024-03-25
[ [ "Ayoun", "Sacha-Élie", "" ], [ "Denis", "Xavier", "" ], [ "Maksimović", "Petar", "" ], [ "Gardner", "Philippa", "" ] ]
While recent years have been witness to a large body of work on efficient and automated verification of safe Rust code, enabled by the rich guarantees of the Rust type system, much less progress has been made on reasoning about unsafe code due to its unique complexities. We propose a hybrid approach to end-to-end Rust ...
0909.3648
Joel Ratsaby
Joel Ratsaby
Random scattering of bits by prediction
null
null
null
null
cs.AI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a population of binary mistake sequences that result from learning with parametric models of different order. We obtain estimates of their error, algorithmic complexity and divergence from a purely random Bernoulli sequence. We study the relationship of these variables to the learner's information dens...
[ { "created": "Sun, 20 Sep 2009 18:10:55 GMT", "version": "v1" }, { "created": "Wed, 13 Oct 2010 19:03:58 GMT", "version": "v2" } ]
2010-10-14
[ [ "Ratsaby", "Joel", "" ] ]
We investigate a population of binary mistake sequences that result from learning with parametric models of different order. We obtain estimates of their error, algorithmic complexity and divergence from a purely random Bernoulli sequence. We study the relationship of these variables to the learner's information densit...
cs/0611048
Richard Mayr
Parosh Abdulla, Pritha Mahata, Richard Mayr
Dense-Timed Petri Nets: Checking Zenoness, Token liveness and Boundedness
61 pages, 18 figures
Logical Methods in Computer Science, Volume 3, Issue 1 (February 7, 2007) lmcs:2223
10.2168/LMCS-3(1:1)2007
null
cs.LO
null
We consider Dense-Timed Petri Nets (TPN), an extension of Petri nets in which each token is equipped with a real-valued clock and where the semantics is lazy (i.e., enabled transitions need not fire; time can pass and disable transitions). We consider the following verification problems for TPNs. (i) Zenoness: whethe...
[ { "created": "Sat, 11 Nov 2006 00:08:46 GMT", "version": "v1" }, { "created": "Tue, 23 Jan 2007 13:33:21 GMT", "version": "v2" } ]
2017-01-11
[ [ "Abdulla", "Parosh", "" ], [ "Mahata", "Pritha", "" ], [ "Mayr", "Richard", "" ] ]
We consider Dense-Timed Petri Nets (TPN), an extension of Petri nets in which each token is equipped with a real-valued clock and where the semantics is lazy (i.e., enabled transitions need not fire; time can pass and disable transitions). We consider the following verification problems for TPNs. (i) Zenoness: whether ...
1202.0533
Mark Wilde
Saikat Guha and Mark M. Wilde
Polar coding to achieve the Holevo capacity of a pure-loss optical channel
5 pages, submission to the 2012 International Symposium on Information Theory (ISIT 2012), Boston, MA, USA; v2 accepted to ISIT 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory (ISIT 2012), pages 546-550, Cambridge, MA, USA
10.1109/ISIT.2012.6284250
null
cs.IT math.IT quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the low-energy high-energy-efficiency regime of classical optical communications---relevant to deep-space optical channels---there is a big gap between reliable communication rates achievable via conventional optical receivers and the ultimate (Holevo) capacity. Achieving the Holevo capacity requires not only opti...
[ { "created": "Thu, 2 Feb 2012 20:01:30 GMT", "version": "v1" }, { "created": "Tue, 22 May 2012 12:22:05 GMT", "version": "v2" } ]
2012-09-04
[ [ "Guha", "Saikat", "" ], [ "Wilde", "Mark M.", "" ] ]
In the low-energy high-energy-efficiency regime of classical optical communications---relevant to deep-space optical channels---there is a big gap between reliable communication rates achievable via conventional optical receivers and the ultimate (Holevo) capacity. Achieving the Holevo capacity requires not only optima...
1910.10307
Vahdat Abdelzad
Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denounden, Sachin Vernekar, Buu Phan
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output
15 pages, 8 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks achieve superior performance in challenging tasks such as image classification. However, deep classifiers tend to incorrectly classify out-of-distribution (OOD) inputs, which are inputs that do not belong to the classifier training distribution. Several approaches have been proposed to detect OOD...
[ { "created": "Wed, 23 Oct 2019 01:27:48 GMT", "version": "v1" } ]
2019-10-24
[ [ "Abdelzad", "Vahdat", "" ], [ "Czarnecki", "Krzysztof", "" ], [ "Salay", "Rick", "" ], [ "Denounden", "Taylor", "" ], [ "Vernekar", "Sachin", "" ], [ "Phan", "Buu", "" ] ]
Deep neural networks achieve superior performance in challenging tasks such as image classification. However, deep classifiers tend to incorrectly classify out-of-distribution (OOD) inputs, which are inputs that do not belong to the classifier training distribution. Several approaches have been proposed to detect OOD i...
cs/0703072
Paul Fodor
Paul Fodor
Domain Directed Dialogs for Decision Processes
null
null
null
null
cs.OH
null
The search for a standardized optimum way to communicate using natural language dialog has involved a lot of research. However, due to the diversity of communication domains, we think that this is extremely difficult to achieve and different dialogue management techniques should be applied for different situations. O...
[ { "created": "Thu, 15 Mar 2007 00:08:50 GMT", "version": "v1" }, { "created": "Thu, 22 Mar 2007 14:54:41 GMT", "version": "v2" }, { "created": "Tue, 27 Mar 2007 15:41:54 GMT", "version": "v3" } ]
2007-05-23
[ [ "Fodor", "Paul", "" ] ]
The search for a standardized optimum way to communicate using natural language dialog has involved a lot of research. However, due to the diversity of communication domains, we think that this is extremely difficult to achieve and different dialogue management techniques should be applied for different situations. Our...
1410.0265
Chao Li
Chao Li, Michael Hay, Gerome Miklau, Yue Wang
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy
VLDB 2014
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a new algorithm for answering a given set of range queries under $\epsilon$-differential privacy which often achieves substantially lower error than competing methods. Our algorithm satisfies differential privacy by adding noise that is adapted to the input data and to the given query set. We first privat...
[ { "created": "Wed, 1 Oct 2014 15:56:42 GMT", "version": "v1" } ]
2014-10-02
[ [ "Li", "Chao", "" ], [ "Hay", "Michael", "" ], [ "Miklau", "Gerome", "" ], [ "Wang", "Yue", "" ] ]
We describe a new algorithm for answering a given set of range queries under $\epsilon$-differential privacy which often achieves substantially lower error than competing methods. Our algorithm satisfies differential privacy by adding noise that is adapted to the input data and to the given query set. We first privatel...
1806.06084
Ramik Sadana
Ramik Sadana, Meeshu Agnihotri, John Stasko
Touching Data: A Discoverability-based Evaluation of a Visualization Interface for Tablet Computers
10 pages, 3 figures, 7 tabels
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While a number of touch-based visualization systems have appeared in recent years, relatively little work has been done to evaluate these systems. The prevailing methods compare these systems to desktop-class applications or utilize traditional training-based usability studies. We argue that existing studies, while u...
[ { "created": "Fri, 15 Jun 2018 18:17:34 GMT", "version": "v1" } ]
2018-06-19
[ [ "Sadana", "Ramik", "" ], [ "Agnihotri", "Meeshu", "" ], [ "Stasko", "John", "" ] ]
While a number of touch-based visualization systems have appeared in recent years, relatively little work has been done to evaluate these systems. The prevailing methods compare these systems to desktop-class applications or utilize traditional training-based usability studies. We argue that existing studies, while use...
1611.07804
Nikita Astrakhantsev
N. Astrakhantsev
ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatically recognized terminology is widely used for various domain-specific texts processing tasks, such as machine translation, information retrieval or sentiment analysis. However, there is still no agreement on which methods are best suited for particular settings and, moreover, there is no reliable comparison...
[ { "created": "Wed, 23 Nov 2016 14:14:52 GMT", "version": "v1" } ]
2016-11-24
[ [ "Astrakhantsev", "N.", "" ] ]
Automatically recognized terminology is widely used for various domain-specific texts processing tasks, such as machine translation, information retrieval or sentiment analysis. However, there is still no agreement on which methods are best suited for particular settings and, moreover, there is no reliable comparison o...
2203.08037
Yang Yang
Yang Yang, Xibai Lou, Changhyun Choi
Interactive Robotic Grasping with Attribute-Guided Disambiguation
Accepted to the IEEE International Conference on Robotics and Automation (ICRA 2022). Project page: https://sites.google.com/umn.edu/attr-disam
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive robotic grasping using natural language is one of the most fundamental tasks in human-robot interaction. However, language can be a source of ambiguity, particularly when there are ambiguous visual or linguistic contents. This paper investigates the use of object attributes in disambiguation and develops ...
[ { "created": "Tue, 15 Mar 2022 16:17:36 GMT", "version": "v1" } ]
2022-03-16
[ [ "Yang", "Yang", "" ], [ "Lou", "Xibai", "" ], [ "Choi", "Changhyun", "" ] ]
Interactive robotic grasping using natural language is one of the most fundamental tasks in human-robot interaction. However, language can be a source of ambiguity, particularly when there are ambiguous visual or linguistic contents. This paper investigates the use of object attributes in disambiguation and develops an...
2402.15392
Filippo Lazzati
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
International Conference on Machine Learning 41 (ICML 2024)
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Inverse reinforcement learning (IRL) aims to recover the reward function of an expert agent from demonstrations of behavior. It is well-known that the IRL problem is fundamentally ill-posed, i.e., many reward functions can explain the demonstrations. For this reason, IRL has been recently reframed in terms of estimat...
[ { "created": "Fri, 23 Feb 2024 15:49:46 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2024 06:49:52 GMT", "version": "v2" } ]
2024-06-07
[ [ "Lazzati", "Filippo", "" ], [ "Mutti", "Mirco", "" ], [ "Metelli", "Alberto Maria", "" ] ]
Inverse reinforcement learning (IRL) aims to recover the reward function of an expert agent from demonstrations of behavior. It is well-known that the IRL problem is fundamentally ill-posed, i.e., many reward functions can explain the demonstrations. For this reason, IRL has been recently reframed in terms of estimatin...
2401.00781
Shuang Li
Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
38 pages, 13 figures, 8 tables
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Highway traffic crashes exert a considerable impact on both transportation systems and the economy. In this context, accurate and dependable emergency responses are crucial for effective traffic management. However, the influence of crashes on traffic status varies across diverse factors and may be biased due to sele...
[ { "created": "Mon, 1 Jan 2024 15:03:14 GMT", "version": "v1" } ]
2024-01-02
[ [ "Li", "Shuang", "" ], [ "Pu", "Ziyuan", "" ], [ "Cui", "Zhiyong", "" ], [ "Lee", "Seunghyeon", "" ], [ "Guo", "Xiucheng", "" ], [ "Ngoduy", "Dong", "" ] ]
Highway traffic crashes exert a considerable impact on both transportation systems and the economy. In this context, accurate and dependable emergency responses are crucial for effective traffic management. However, the influence of crashes on traffic status varies across diverse factors and may be biased due to select...
2211.13853
Sutanay Choudhury
Hatem Helal, Jesun Firoz, Jenna Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris Xantheas, Sutanay Choudhury
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
null
null
null
null
cs.LG cs.AR physics.chem-ph
http://creativecommons.org/licenses/by/4.0/
Molecular property calculations are the bedrock of chemical physics. High-fidelity \textit{ab initio} modeling techniques for computing the molecular properties can be prohibitively expensive, and motivate the development of machine-learning models that make the same predictions more efficiently. Training graph neura...
[ { "created": "Fri, 25 Nov 2022 01:30:18 GMT", "version": "v1" } ]
2022-11-28
[ [ "Helal", "Hatem", "" ], [ "Firoz", "Jesun", "" ], [ "Bilbrey", "Jenna", "" ], [ "Krell", "Mario Michael", "" ], [ "Murray", "Tom", "" ], [ "Li", "Ang", "" ], [ "Xantheas", "Sotiris", "" ], [ "Choudh...
Molecular property calculations are the bedrock of chemical physics. High-fidelity \textit{ab initio} modeling techniques for computing the molecular properties can be prohibitively expensive, and motivate the development of machine-learning models that make the same predictions more efficiently. Training graph neural ...
2312.07106
Michael Unterkalmsteiner
Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou, Tony Gorschek, Rafael Prikladnicki, Nirnaya Tripathi, Leandro Bento Pompermaier
A Progression Model of Software Engineering Goals, Challenges, and Practices in Start-Ups
null
IEEE Trans. Software Eng. 47(3): 498-521 (2021)
10.1109/TSE.2019.2900213
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Context: Software start-ups are emerging as suppliers of innovation and software-intensive products. However, traditional software engineering practices are not evaluated in the context, nor adopted to goals and challenges of start-ups. As a result, there is insufficient support for software engineering in the start-...
[ { "created": "Tue, 12 Dec 2023 09:36:43 GMT", "version": "v1" } ]
2023-12-13
[ [ "Klotins", "Eriks", "" ], [ "Unterkalmsteiner", "Michael", "" ], [ "Chatzipetrou", "Panagiota", "" ], [ "Gorschek", "Tony", "" ], [ "Prikladnicki", "Rafael", "" ], [ "Tripathi", "Nirnaya", "" ], [ "Pompermaier", ...
Context: Software start-ups are emerging as suppliers of innovation and software-intensive products. However, traditional software engineering practices are not evaluated in the context, nor adopted to goals and challenges of start-ups. As a result, there is insufficient support for software engineering in the start-up...
1811.06992
Chris Ying
Chris Ying, Sameer Kumar, Dehao Chen, Tao Wang, Youlong Cheng
Image Classification at Supercomputer Scale
Presented as part of Systems for ML Workshop @ NIPS 2018
null
null
null
cs.LG cs.DC stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep learning is extremely computationally intensive, and hardware vendors have responded by building faster accelerators in large clusters. Training deep learning models at petaFLOPS scale requires overcoming both algorithmic and systems software challenges. In this paper, we discuss three systems-related optimizati...
[ { "created": "Fri, 16 Nov 2018 19:01:40 GMT", "version": "v1" }, { "created": "Sun, 2 Dec 2018 01:30:42 GMT", "version": "v2" } ]
2018-12-04
[ [ "Ying", "Chris", "" ], [ "Kumar", "Sameer", "" ], [ "Chen", "Dehao", "" ], [ "Wang", "Tao", "" ], [ "Cheng", "Youlong", "" ] ]
Deep learning is extremely computationally intensive, and hardware vendors have responded by building faster accelerators in large clusters. Training deep learning models at petaFLOPS scale requires overcoming both algorithmic and systems software challenges. In this paper, we discuss three systems-related optimization...
2303.05919
Yuxin Su
Zhilu Lian, Yangzi Li, Zhixiang Chen, Shiwen Shan, Baoxin Han, Yuxin Su
eBPF-based Working Set Size Estimation in Memory Management
8 pages, 6 figures
null
10.1109/ICSS55994.2022.00036
null
cs.PF cs.AR cs.LG
http://creativecommons.org/licenses/by/4.0/
Working set size estimation (WSS) is of great significance to improve the efficiency of program executing and memory arrangement in modern operating systems. Previous work proposed several methods to estimate WSS, including self-balloning, Zballoning and so on. However, these methods which are based on virtual machin...
[ { "created": "Tue, 17 Jan 2023 03:12:35 GMT", "version": "v1" } ]
2023-03-13
[ [ "Lian", "Zhilu", "" ], [ "Li", "Yangzi", "" ], [ "Chen", "Zhixiang", "" ], [ "Shan", "Shiwen", "" ], [ "Han", "Baoxin", "" ], [ "Su", "Yuxin", "" ] ]
Working set size estimation (WSS) is of great significance to improve the efficiency of program executing and memory arrangement in modern operating systems. Previous work proposed several methods to estimate WSS, including self-balloning, Zballoning and so on. However, these methods which are based on virtual machine ...
1208.4632
EPTCS
Minas Charalambides (University of Illinois at Urbana-Champaign), Peter Dinges (University of Illinois at Urbana-Champaign), Gul Agha (University of Illinois at Urbana-Champaign)
Parameterized Concurrent Multi-Party Session Types
In Proceedings FOCLASA 2012, arXiv:1208.4327
EPTCS 91, 2012, pp. 16-30
10.4204/EPTCS.91.2
null
cs.PL cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Session types have been proposed as a means of statically verifying implementations of communication protocols. Although prior work has been successful in verifying some classes of protocols, it does not cope well with parameterized, multi-actor scenarios with inherent asynchrony. For example, the sliding window prot...
[ { "created": "Wed, 22 Aug 2012 21:58:46 GMT", "version": "v1" } ]
2012-08-24
[ [ "Charalambides", "Minas", "", "University of Illinois at Urbana-Champaign" ], [ "Dinges", "Peter", "", "University of Illinois at Urbana-Champaign" ], [ "Agha", "Gul", "", "University of Illinois at Urbana-Champaign" ] ]
Session types have been proposed as a means of statically verifying implementations of communication protocols. Although prior work has been successful in verifying some classes of protocols, it does not cope well with parameterized, multi-actor scenarios with inherent asynchrony. For example, the sliding window protoc...
0801.2588
K. Raj Kumar
K. Raj Kumar and Giuseppe Caire
Coding and Decoding for the Dynamic Decode and Forward Relay Protocol
Submitted to the IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
null
We study the Dynamic Decode and Forward (DDF) protocol for a single half-duplex relay, single-antenna channel with quasi-static fading. The DDF protocol is well-known and has been analyzed in terms of the Diversity-Multiplexing Tradeoff (DMT) in the infinite block length limit. We characterize the finite block length...
[ { "created": "Wed, 16 Jan 2008 23:05:12 GMT", "version": "v1" } ]
2008-01-18
[ [ "Kumar", "K. Raj", "" ], [ "Caire", "Giuseppe", "" ] ]
We study the Dynamic Decode and Forward (DDF) protocol for a single half-duplex relay, single-antenna channel with quasi-static fading. The DDF protocol is well-known and has been analyzed in terms of the Diversity-Multiplexing Tradeoff (DMT) in the infinite block length limit. We characterize the finite block length D...
2204.04717
Kheeran K. Naidu
Cezar-Mihail Alexandru, Pavel Dvo\v{r}\'ak, Christian Konrad, Kheeran K. Naidu
Improved Weighted Matching in the Sliding Window Model
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the Maximum-weight Matching (MWM) problem in the streaming sliding window model of computation. In this model, the input consists of a sequence of weighted edges on a given vertex set $V$ of size $n$. The objective is to maintain an approximation of a maximum-weight matching in the graph spanned by the $L...
[ { "created": "Sun, 10 Apr 2022 16:26:11 GMT", "version": "v1" }, { "created": "Tue, 10 Jan 2023 15:22:03 GMT", "version": "v2" } ]
2023-01-11
[ [ "Alexandru", "Cezar-Mihail", "" ], [ "Dvořák", "Pavel", "" ], [ "Konrad", "Christian", "" ], [ "Naidu", "Kheeran K.", "" ] ]
We consider the Maximum-weight Matching (MWM) problem in the streaming sliding window model of computation. In this model, the input consists of a sequence of weighted edges on a given vertex set $V$ of size $n$. The objective is to maintain an approximation of a maximum-weight matching in the graph spanned by the $L$ ...
2405.02047
Martin Kumm
Andreas B\"ottcher, Martin Kumm
Small Logic-based Multipliers with Incomplete Sub-Multipliers for FPGAs
Preprint, to appear at ARITH 2024 (http://arith24.arithsymposium.org) and IEEEXplore
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a recent trend in artificial intelligence (AI) inference towards lower precision data formats down to 8 bits and less. As multiplication is the most complex operation in typical inference tasks, there is a large demand for efficient small multipliers. The large DSP blocks have limitations implementing many s...
[ { "created": "Fri, 3 May 2024 12:29:07 GMT", "version": "v1" } ]
2024-05-06
[ [ "Böttcher", "Andreas", "" ], [ "Kumm", "Martin", "" ] ]
There is a recent trend in artificial intelligence (AI) inference towards lower precision data formats down to 8 bits and less. As multiplication is the most complex operation in typical inference tasks, there is a large demand for efficient small multipliers. The large DSP blocks have limitations implementing many sma...
1905.10464
Mamoru Komachi
Tosho Hirasawa and Mamoru Komachi
Debiasing Word Embeddings Improves Multimodal Machine Translation
11 pages; MT Summit 2019 (camera ready)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In recent years, pretrained word embeddings have proved useful for multimodal neural machine translation (NMT) models to address the shortage of available datasets. However, the integration of pretrained word embeddings has not yet been explored extensively. Further, pretrained word embeddings in high dimensional spa...
[ { "created": "Fri, 24 May 2019 22:11:57 GMT", "version": "v1" }, { "created": "Tue, 28 May 2019 22:46:58 GMT", "version": "v2" }, { "created": "Sat, 22 Jun 2019 07:50:03 GMT", "version": "v3" } ]
2019-06-25
[ [ "Hirasawa", "Tosho", "" ], [ "Komachi", "Mamoru", "" ] ]
In recent years, pretrained word embeddings have proved useful for multimodal neural machine translation (NMT) models to address the shortage of available datasets. However, the integration of pretrained word embeddings has not yet been explored extensively. Further, pretrained word embeddings in high dimensional space...
2311.14762
Benjamin Kiefer
Benjamin Kiefer, Lojze \v{Z}ust, Matej Kristan, Janez Per\v{s}, Matija Ter\v{s}ek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng ...
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
Part of 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 IEEE Xplore submission as part of WACV 2024
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenges categories are considered: (i) UAV-based Maritime Object Tracking with Re-identification, (ii) USV-based Maritime Obstacle Segmentation ...
[ { "created": "Thu, 23 Nov 2023 21:01:14 GMT", "version": "v1" } ]
2023-11-28
[ [ "Kiefer", "Benjamin", "" ], [ "Žust", "Lojze", "" ], [ "Kristan", "Matej", "" ], [ "Perš", "Janez", "" ], [ "Teršek", "Matija", "" ], [ "Wiliem", "Arnold", "" ], [ "Messmer", "Martin", "" ], [ "Yang...
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenges categories are considered: (i) UAV-based Maritime Object Tracking with Re-identification, (ii) USV-based Maritime Obstacle Segmentation an...
2107.14388
Yongxiang Gu
Yongxiang Gu, Qianlei Wang, Xiaolin Qin
Real-time Streaming Perception System for Autonomous Driving
6 pages,6 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Nowadays, plenty of deep learning technologies are being applied to all aspects of autonomous driving with promising results. Among them, object detection is the key to improve the ability of an autonomous agent to perceive its environment so that it can (re)act. However, previous vision-based object detectors cannot...
[ { "created": "Fri, 30 Jul 2021 01:32:44 GMT", "version": "v1" } ]
2021-08-02
[ [ "Gu", "Yongxiang", "" ], [ "Wang", "Qianlei", "" ], [ "Qin", "Xiaolin", "" ] ]
Nowadays, plenty of deep learning technologies are being applied to all aspects of autonomous driving with promising results. Among them, object detection is the key to improve the ability of an autonomous agent to perceive its environment so that it can (re)act. However, previous vision-based object detectors cannot a...
1701.02009
Alexander Zhdanov
Alexander Zhdanov
IRA codes derived from Gruenbaum graph
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider coding of short data frames (192 bits) by IRA codes. A new interleaver for the IRA codes based on a Gruenbaum graph is proposed. The difference of the proposed algorithm from known methods consists in the following: permutation is performed by using a match smaller interleaver which is deri...
[ { "created": "Sun, 8 Jan 2017 19:59:35 GMT", "version": "v1" } ]
2017-01-10
[ [ "Zhdanov", "Alexander", "" ] ]
In this paper, we consider coding of short data frames (192 bits) by IRA codes. A new interleaver for the IRA codes based on a Gruenbaum graph is proposed. The difference of the proposed algorithm from known methods consists in the following: permutation is performed by using a match smaller interleaver which is derive...
2312.06875
Ryan Beckett
Siva Kesava Reddy Kakarla, Ryan Beckett
Oracle-based Protocol Testing with Eywa
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present oracle-based testing a new technique for automatic black-box testing of network protocol implementations. Oracle-based testing leverages recent advances in LLMs to build rich models of intended protocol behavior from knowledge embedded in RFCs, blogs, forums, and other natural language sources. From these ...
[ { "created": "Mon, 11 Dec 2023 22:51:15 GMT", "version": "v1" } ]
2023-12-13
[ [ "Kakarla", "Siva Kesava Reddy", "" ], [ "Beckett", "Ryan", "" ] ]
We present oracle-based testing a new technique for automatic black-box testing of network protocol implementations. Oracle-based testing leverages recent advances in LLMs to build rich models of intended protocol behavior from knowledge embedded in RFCs, blogs, forums, and other natural language sources. From these mo...
cs/0410004
Andras Lorincz
I. Szita and A. Lorincz
Applying Policy Iteration for Training Recurrent Neural Networks
Supplementary material. 17 papes, 1 figure
null
null
null
cs.AI cs.LG cs.NE
null
Recurrent neural networks are often used for learning time-series data. Based on a few assumptions we model this learning task as a minimization problem of a nonlinear least-squares cost function. The special structure of the cost function allows us to build a connection to reinforcement learning. We exploit this con...
[ { "created": "Sat, 2 Oct 2004 07:19:49 GMT", "version": "v1" } ]
2007-05-23
[ [ "Szita", "I.", "" ], [ "Lorincz", "A.", "" ] ]
Recurrent neural networks are often used for learning time-series data. Based on a few assumptions we model this learning task as a minimization problem of a nonlinear least-squares cost function. The special structure of the cost function allows us to build a connection to reinforcement learning. We exploit this conne...
2405.16487
Tyler Han
Tyler Han, Sidharth Talia, Rohan Panicker, Preet Shah, Neel Jawale, Byron Boots
Dynamics Models in the Aggressive Off-Road Driving Regime
Accepted to ICRA 2024 Workshop on Resilient Off-road Autonomy
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Current developments in autonomous off-road driving are steadily increasing performance through higher speeds and more challenging, unstructured environments. However, this operating regime subjects the vehicle to larger inertial effects, where consideration of higher-order states is necessary to avoid failures such ...
[ { "created": "Sun, 26 May 2024 08:52:16 GMT", "version": "v1" } ]
2024-05-28
[ [ "Han", "Tyler", "" ], [ "Talia", "Sidharth", "" ], [ "Panicker", "Rohan", "" ], [ "Shah", "Preet", "" ], [ "Jawale", "Neel", "" ], [ "Boots", "Byron", "" ] ]
Current developments in autonomous off-road driving are steadily increasing performance through higher speeds and more challenging, unstructured environments. However, this operating regime subjects the vehicle to larger inertial effects, where consideration of higher-order states is necessary to avoid failures such as...
2008.04109
Abdul Mueed Hafiz Dr.
Abdul Mueed Hafiz and Ghulam Mohiuddin Bhat
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents
null
null
null
null
cs.LG cs.AI cs.MA cs.SY eess.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Q-Network (DQN) based multi-agent systems (MAS) for reinforcement learning (RL) use various schemes where in the agents have to learn and communicate. The learning is however specific to each agent and communication may be satisfactorily designed for the agents. As more complex Deep QNetworks come to the fore, t...
[ { "created": "Thu, 6 Aug 2020 15:16:05 GMT", "version": "v1" } ]
2020-08-11
[ [ "Hafiz", "Abdul Mueed", "" ], [ "Bhat", "Ghulam Mohiuddin", "" ] ]
Deep Q-Network (DQN) based multi-agent systems (MAS) for reinforcement learning (RL) use various schemes where in the agents have to learn and communicate. The learning is however specific to each agent and communication may be satisfactorily designed for the agents. As more complex Deep QNetworks come to the fore, the...
2202.13057
Vsevolod Nikulin
Vsevolod Nikulin and Jun Tani
Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences
18 pages, 9 figures
null
null
null
cs.LG cs.RO
http://creativecommons.org/licenses/by/4.0/
Robot kinematics data, despite being a high dimensional process, is highly correlated, especially when considering motions grouped in certain primitives. These almost linear correlations within primitives allow us to interpret the motions as points drawn close to a union of low-dimensional linear subspaces in the spa...
[ { "created": "Sat, 26 Feb 2022 04:32:16 GMT", "version": "v1" } ]
2022-03-01
[ [ "Nikulin", "Vsevolod", "" ], [ "Tani", "Jun", "" ] ]
Robot kinematics data, despite being a high dimensional process, is highly correlated, especially when considering motions grouped in certain primitives. These almost linear correlations within primitives allow us to interpret the motions as points drawn close to a union of low-dimensional linear subspaces in the space...
2405.15092
Evelyn Yee
Evelyn Yee and Alice Li and Chenyu Tang and Yeon Ho Jung and Ramamohan Paturi and Leon Bergen
Dissociation of Faithful and Unfaithful Reasoning in LLMs
code published at https://github.com/CoTErrorRecovery/CoTErrorRecovery
null
null
null
cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs) improve their performance in downstream tasks when they generate Chain of Thought reasoning text before producing an answer. Our research investigates how LLMs recover from errors in Chain of Thought, reaching the correct final answer despite mistakes in the reasoning text. Through analys...
[ { "created": "Thu, 23 May 2024 22:38:58 GMT", "version": "v1" } ]
2024-05-27
[ [ "Yee", "Evelyn", "" ], [ "Li", "Alice", "" ], [ "Tang", "Chenyu", "" ], [ "Jung", "Yeon Ho", "" ], [ "Paturi", "Ramamohan", "" ], [ "Bergen", "Leon", "" ] ]
Large language models (LLMs) improve their performance in downstream tasks when they generate Chain of Thought reasoning text before producing an answer. Our research investigates how LLMs recover from errors in Chain of Thought, reaching the correct final answer despite mistakes in the reasoning text. Through analysis...
1706.05893
Simon Wacker
Simon Wacker
Signal Machine And Cellular Automaton Time-Optimal Quasi-Solutions Of The Firing Squad/Mob Synchronisation Problem On Connected Graphs
null
null
null
null
cs.FL cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We construct a time-optimal quasi-solution of the firing mob synchronisation problem over finite, connected, and undirected multigraphs whose maximum degrees are uniformly bounded by a constant. It is only a quasi-solution because its number of states depends on the graph or, from another perspective, does not depend...
[ { "created": "Mon, 19 Jun 2017 11:47:45 GMT", "version": "v1" } ]
2017-06-20
[ [ "Wacker", "Simon", "" ] ]
We construct a time-optimal quasi-solution of the firing mob synchronisation problem over finite, connected, and undirected multigraphs whose maximum degrees are uniformly bounded by a constant. It is only a quasi-solution because its number of states depends on the graph or, from another perspective, does not depend o...
2403.00553
Chantal Shaib
Chantal Shaib, Joe Barrow, Jiuding Sun, Alexa F. Siu, Byron C. Wallace, Ani Nenkova
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores
Preprint
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The diversity across outputs generated by large language models shapes the perception of their quality and utility. Prompt leaks, templated answer structure, and canned responses across different interactions are readily noticed by people, but there is no standard score to measure this aspect of model behavior. In th...
[ { "created": "Fri, 1 Mar 2024 14:23:12 GMT", "version": "v1" } ]
2024-03-04
[ [ "Shaib", "Chantal", "" ], [ "Barrow", "Joe", "" ], [ "Sun", "Jiuding", "" ], [ "Siu", "Alexa F.", "" ], [ "Wallace", "Byron C.", "" ], [ "Nenkova", "Ani", "" ] ]
The diversity across outputs generated by large language models shapes the perception of their quality and utility. Prompt leaks, templated answer structure, and canned responses across different interactions are readily noticed by people, but there is no standard score to measure this aspect of model behavior. In this...
2401.02861
Marta Gomez-Barrero
Marta Gomez-Barrero, Javier Galbally
Reversing the Irreversible: A Survey on Inverse Biometrics
18 pages, journal, survey
Elsevier Computers & Security, Volume 90, March 2020, 101700
10.1016/j.cose.2019.101700
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
With the widespread use of biometric recognition, several issues related to the privacy and security provided by this technology have been recently raised and analysed. As a result, the early common belief among the biometrics community of templates irreversibility has been proven wrong. It is now an accepted fact th...
[ { "created": "Fri, 5 Jan 2024 15:32:40 GMT", "version": "v1" } ]
2024-01-08
[ [ "Gomez-Barrero", "Marta", "" ], [ "Galbally", "Javier", "" ] ]
With the widespread use of biometric recognition, several issues related to the privacy and security provided by this technology have been recently raised and analysed. As a result, the early common belief among the biometrics community of templates irreversibility has been proven wrong. It is now an accepted fact that...
2105.01031
Catherine Stinson
Catherine Stinson
Algorithms are not neutral: Bias in collaborative filtering
null
null
null
null
cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Discussions of algorithmic bias tend to focus on examples where either the data or the people building the algorithms are biased. This gives the impression that clean data and good intentions could eliminate bias. The neutrality of the algorithms themselves is defended by prominent Artificial Intelligence researchers...
[ { "created": "Mon, 3 May 2021 17:28:43 GMT", "version": "v1" } ]
2021-05-04
[ [ "Stinson", "Catherine", "" ] ]
Discussions of algorithmic bias tend to focus on examples where either the data or the people building the algorithms are biased. This gives the impression that clean data and good intentions could eliminate bias. The neutrality of the algorithms themselves is defended by prominent Artificial Intelligence researchers. ...
2107.10443
Eugene Bagdasaryan
Eugene Bagdasaryan and Vitaly Shmatikov
Spinning Sequence-to-Sequence Models with Meta-Backdoors
Outdated. Superseded by arXiv:2112.05224 and published at IEEE S&P'22 with title: "Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures"
null
null
null
cs.CR cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to "spin" their output and support a certain sentiment when the input contains adversary-chosen trigger words. For example, a summarization model will output positive summaries of any text that mention...
[ { "created": "Thu, 22 Jul 2021 03:41:52 GMT", "version": "v1" }, { "created": "Mon, 10 Oct 2022 23:02:33 GMT", "version": "v2" } ]
2022-10-12
[ [ "Bagdasaryan", "Eugene", "" ], [ "Shmatikov", "Vitaly", "" ] ]
We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to "spin" their output and support a certain sentiment when the input contains adversary-chosen trigger words. For example, a summarization model will output positive summaries of any text that mentions ...
2306.04004
Vignesh Kothapalli
Vignesh Kothapalli
Randomized Schur Complement Views for Graph Contrastive Learning
ICML 2023
null
null
null
cs.LG cs.SI
http://creativecommons.org/licenses/by/4.0/
We introduce a randomized topological augmentor based on Schur complements for Graph Contrastive Learning (GCL). Given a graph laplacian matrix, the technique generates unbiased approximations of its Schur complements and treats the corresponding graphs as augmented views. We discuss the benefits of our approach, pro...
[ { "created": "Tue, 6 Jun 2023 20:35:20 GMT", "version": "v1" } ]
2023-06-08
[ [ "Kothapalli", "Vignesh", "" ] ]
We introduce a randomized topological augmentor based on Schur complements for Graph Contrastive Learning (GCL). Given a graph laplacian matrix, the technique generates unbiased approximations of its Schur complements and treats the corresponding graphs as augmented views. We discuss the benefits of our approach, provi...
2403.02474
Krishnapriya Vishnubhotla
Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst, Saif M. Mohammad
The Emotion Dynamics of Literary Novels
8 pages plus appendices
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their appeal. Computational analysis of the emotions of novels, however, has rarely examined the variation in the emotional trajectories of the dif...
[ { "created": "Mon, 4 Mar 2024 20:39:21 GMT", "version": "v1" } ]
2024-03-06
[ [ "Vishnubhotla", "Krishnapriya", "" ], [ "Hammond", "Adam", "" ], [ "Hirst", "Graeme", "" ], [ "Mohammad", "Saif M.", "" ] ]
Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their appeal. Computational analysis of the emotions of novels, however, has rarely examined the variation in the emotional trajectories of the diffe...
1112.0221
John Fearnley
John Fearnley (University of Liverpool), Sven Schewe (University of Liverpool)
Time and Parallelizability Results for Parity Games with Bounded Tree and DAG Width
null
Logical Methods in Computer Science, Volume 9, Issue 2 (June 18, 2013) lmcs:791
10.2168/LMCS-9(2:6)2013
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Parity games are a much researched class of games in NP intersect CoNP that are not known to be in P. Consequently, researchers have considered specialised algorithms for the case where certain graph parameters are small. In this paper, we study parity games on graphs with bounded treewidth, and graphs with bounded D...
[ { "created": "Thu, 1 Dec 2011 16:05:26 GMT", "version": "v1" }, { "created": "Thu, 9 Feb 2012 15:42:30 GMT", "version": "v2" }, { "created": "Mon, 10 Sep 2012 15:43:53 GMT", "version": "v3" }, { "created": "Tue, 16 Apr 2013 15:52:27 GMT", "version": "v4" }, { "cre...
2015-07-01
[ [ "Fearnley", "John", "", "University of Liverpool" ], [ "Schewe", "Sven", "", "University of\n Liverpool" ] ]
Parity games are a much researched class of games in NP intersect CoNP that are not known to be in P. Consequently, researchers have considered specialised algorithms for the case where certain graph parameters are small. In this paper, we study parity games on graphs with bounded treewidth, and graphs with bounded DAG...
1912.08954
Guanbin Li
Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
To Appear in AAAI2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We focus on Unsupervised Domain Adaptation (UDA) for the task of semantic segmentation. Recently, adversarial alignment has been widely adopted to match the marginal distribution of feature representations across two domains globally. However, this strategy fails in adapting the representations of the tail classes or...
[ { "created": "Wed, 18 Dec 2019 23:59:24 GMT", "version": "v1" } ]
2019-12-20
[ [ "Yang", "Jihan", "" ], [ "Xu", "Ruijia", "" ], [ "Li", "Ruiyu", "" ], [ "Qi", "Xiaojuan", "" ], [ "Shen", "Xiaoyong", "" ], [ "Li", "Guanbin", "" ], [ "Lin", "Liang", "" ] ]
We focus on Unsupervised Domain Adaptation (UDA) for the task of semantic segmentation. Recently, adversarial alignment has been widely adopted to match the marginal distribution of feature representations across two domains globally. However, this strategy fails in adapting the representations of the tail classes or s...
1609.09773
Qingqing Wu
Qingqing Wu, Geoffrey Ye Li, Wen Chen, Derrick Wing Kwan Ng, and Robert Schober
An Overview of Sustainable Green 5G Networks
Submitted for possible publication
null
null
null
cs.IT cs.NI math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The stringent requirements of a 1,000 times increase in data traffic and one millisecond round trip latency have made limiting the potentially tremendous ensuing energy consumption one of the most challenging problems for the design of the upcoming fifth-generation (5G) networks. To enable sustainable 5G networks, ne...
[ { "created": "Fri, 30 Sep 2016 15:26:03 GMT", "version": "v1" }, { "created": "Wed, 5 Oct 2016 03:40:26 GMT", "version": "v2" } ]
2017-04-12
[ [ "Wu", "Qingqing", "" ], [ "Li", "Geoffrey Ye", "" ], [ "Chen", "Wen", "" ], [ "Ng", "Derrick Wing Kwan", "" ], [ "Schober", "Robert", "" ] ]
The stringent requirements of a 1,000 times increase in data traffic and one millisecond round trip latency have made limiting the potentially tremendous ensuing energy consumption one of the most challenging problems for the design of the upcoming fifth-generation (5G) networks. To enable sustainable 5G networks, new ...
2112.07344
Adeyemi Damilare Adeoye
Adeyemi D. Adeoye, Alberto Bemporad
SCORE: Approximating Curvature Information under Self-Concordant Regularization
published in Computational Optimization and Applications 2023
null
10.1007/s10589-023-00502-2
null
cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
Optimization problems that include regularization functions in their objectives are regularly solved in many applications. When one seeks second-order methods for such problems, it may be desirable to exploit specific properties of some of these regularization functions when accounting for curvature information in th...
[ { "created": "Tue, 14 Dec 2021 13:03:04 GMT", "version": "v1" }, { "created": "Thu, 16 Jun 2022 10:30:59 GMT", "version": "v2" }, { "created": "Mon, 10 Jul 2023 14:13:17 GMT", "version": "v3" } ]
2023-07-11
[ [ "Adeoye", "Adeyemi D.", "" ], [ "Bemporad", "Alberto", "" ] ]
Optimization problems that include regularization functions in their objectives are regularly solved in many applications. When one seeks second-order methods for such problems, it may be desirable to exploit specific properties of some of these regularization functions when accounting for curvature information in the ...
1607.08592
Erkki Luuk
Erkki Luuk
Modeling selectional restrictions in a relational type system
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Selectional restrictions are semantic constraints on forming certain complex types in natural language. The paper gives an overview of modeling selectional restrictions in a relational type system with morphological and syntactic types. We discuss some foundations of the system and ways of formalizing selectional res...
[ { "created": "Thu, 28 Jul 2016 19:47:25 GMT", "version": "v1" } ]
2016-07-29
[ [ "Luuk", "Erkki", "" ] ]
Selectional restrictions are semantic constraints on forming certain complex types in natural language. The paper gives an overview of modeling selectional restrictions in a relational type system with morphological and syntactic types. We discuss some foundations of the system and ways of formalizing selectional restr...
2012.11113
Yang Yifei
Yifei Yang, Shibing Xiang, Ruixiang Zhang
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autoencoder and its variants have been widely applicated in anomaly detection.The previous work memory-augmented deep autoencoder proposed memorizing normality to detect anomaly, however it neglects the feature discrepancy between different resolution scales, therefore we introduce multi-scale memories to record scal...
[ { "created": "Mon, 21 Dec 2020 04:44:40 GMT", "version": "v1" } ]
2020-12-22
[ [ "Yang", "Yifei", "" ], [ "Xiang", "Shibing", "" ], [ "Zhang", "Ruixiang", "" ] ]
Autoencoder and its variants have been widely applicated in anomaly detection.The previous work memory-augmented deep autoencoder proposed memorizing normality to detect anomaly, however it neglects the feature discrepancy between different resolution scales, therefore we introduce multi-scale memories to record scale-...
2301.02125
Alexander Gheorghiu
Alexander V. Gheorghiu and David J. Pym
Defining Logical Systems via Algebraic Constraints on Proofs
null
Journal of Logic and Computation 2023
null
null
cs.LO math.LO
http://creativecommons.org/licenses/by/4.0/
We present a comprehensive programme analysing the decomposition of proof systems for non-classical logics into proof systems for other logics, especially classical logic, using an algebra of constraints. That is, one recovers a proof system for a target logic by enriching a proof system for another, typically simple...
[ { "created": "Thu, 5 Jan 2023 16:06:09 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2023 10:06:04 GMT", "version": "v2" }, { "created": "Thu, 19 Oct 2023 11:21:15 GMT", "version": "v3" } ]
2023-10-20
[ [ "Gheorghiu", "Alexander V.", "" ], [ "Pym", "David J.", "" ] ]
We present a comprehensive programme analysing the decomposition of proof systems for non-classical logics into proof systems for other logics, especially classical logic, using an algebra of constraints. That is, one recovers a proof system for a target logic by enriching a proof system for another, typically simpler,...
1906.00452
Micha{\l} Koziarski
Micha{\l} Koziarski
Radial-Based Undersampling for Imbalanced Data Classification
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data imbalance remains one of the most widespread problems affecting contemporary machine learning. The negative effect data imbalance can have on the traditional learning algorithms is most severe in combination with other dataset difficulty factors, such as small disjuncts, presence of outliers and insufficient num...
[ { "created": "Sun, 2 Jun 2019 17:06:28 GMT", "version": "v1" }, { "created": "Sat, 17 Apr 2021 13:51:23 GMT", "version": "v2" } ]
2021-04-20
[ [ "Koziarski", "Michał", "" ] ]
Data imbalance remains one of the most widespread problems affecting contemporary machine learning. The negative effect data imbalance can have on the traditional learning algorithms is most severe in combination with other dataset difficulty factors, such as small disjuncts, presence of outliers and insufficient numbe...
2203.07102
Youqian Zhang
Youqian Zhang, Kasper Rasmussen
Detection of Electromagnetic Signal Injection Attacks on Actuator Systems
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An actuator is a device that converts electricity into another form of energy, typically physical movement. They are absolutely essential for any system that needs to impact or modify the physical world, and are used in millions of systems of all sizes, all over the world, from cars and spacecraft to factory control ...
[ { "created": "Mon, 14 Mar 2022 13:47:03 GMT", "version": "v1" } ]
2022-03-15
[ [ "Zhang", "Youqian", "" ], [ "Rasmussen", "Kasper", "" ] ]
An actuator is a device that converts electricity into another form of energy, typically physical movement. They are absolutely essential for any system that needs to impact or modify the physical world, and are used in millions of systems of all sizes, all over the world, from cars and spacecraft to factory control sy...
2305.17127
Tyler A. Chang
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
Characterizing and Measuring Linguistic Dataset Drift
Accepted to ACL 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
NLP models often degrade in performance when real world data distributions differ markedly from training data. However, existing dataset drift metrics in NLP have generally not considered specific dimensions of linguistic drift that affect model performance, and they have not been validated in their ability to predic...
[ { "created": "Fri, 26 May 2023 17:50:51 GMT", "version": "v1" } ]
2023-05-29
[ [ "Chang", "Tyler A.", "" ], [ "Halder", "Kishaloy", "" ], [ "John", "Neha Anna", "" ], [ "Vyas", "Yogarshi", "" ], [ "Benajiba", "Yassine", "" ], [ "Ballesteros", "Miguel", "" ], [ "Roth", "Dan", "" ] ]
NLP models often degrade in performance when real world data distributions differ markedly from training data. However, existing dataset drift metrics in NLP have generally not considered specific dimensions of linguistic drift that affect model performance, and they have not been validated in their ability to predict ...
2403.07314
Megan Witherow
Megan A. Witherow, Crystal Butler, Winston J. Shields, Furkan Ilgin, Norou Diawara, Janice Keener, John W. Harrington, and Khan M. Iftekharuddin
Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement
12 pages, 8 figures
null
null
null
cs.HC cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Customizable 3D avatar-based facial expression stimuli may improve user engagement in behavioral biomarker discovery and therapeutic intervention for autism, Alzheimer's disease, facial palsy, and more. However, there is a lack of customizable avatar-based stimuli with Facial Action Coding System (FACS) action unit (...
[ { "created": "Tue, 12 Mar 2024 05:00:38 GMT", "version": "v1" } ]
2024-03-13
[ [ "Witherow", "Megan A.", "" ], [ "Butler", "Crystal", "" ], [ "Shields", "Winston J.", "" ], [ "Ilgin", "Furkan", "" ], [ "Diawara", "Norou", "" ], [ "Keener", "Janice", "" ], [ "Harrington", "John W.", "" ...
Customizable 3D avatar-based facial expression stimuli may improve user engagement in behavioral biomarker discovery and therapeutic intervention for autism, Alzheimer's disease, facial palsy, and more. However, there is a lack of customizable avatar-based stimuli with Facial Action Coding System (FACS) action unit (AU...
1603.07786
Hans Raj Tiwary
Hans Raj Tiwary
Extension Complexity of Formal Languages
Final version for TOCS
null
null
null
cs.CC cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article we undertake a study of extension complexity from the perspective of formal languages. We define a natural way to associate a family of polytopes with binary languages. This allows us to define the notion of extension complexity of formal languages. We prove several closure properties of languages adm...
[ { "created": "Fri, 25 Mar 2016 00:11:56 GMT", "version": "v1" }, { "created": "Wed, 27 Apr 2016 16:22:08 GMT", "version": "v2" }, { "created": "Thu, 28 Apr 2016 10:29:07 GMT", "version": "v3" }, { "created": "Tue, 19 Jul 2016 16:21:35 GMT", "version": "v4" }, { "c...
2019-08-29
[ [ "Tiwary", "Hans Raj", "" ] ]
In this article we undertake a study of extension complexity from the perspective of formal languages. We define a natural way to associate a family of polytopes with binary languages. This allows us to define the notion of extension complexity of formal languages. We prove several closure properties of languages admit...
2305.06386
Mazda Moayeri
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text-To-Concept (and Back) via Cross-Model Alignment
Accepted to ICML 2023 and CVPR4XAI workshop 2023
null
null
null
cs.CV cs.AI cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
We observe that the mapping between an image's representation in one model to its representation in another can be learned surprisingly well with just a linear layer, even across diverse models. Building on this observation, we propose $\textit{text-to-concept}$, where features from a fixed pretrained model are align...
[ { "created": "Wed, 10 May 2023 18:01:06 GMT", "version": "v1" } ]
2023-05-12
[ [ "Moayeri", "Mazda", "" ], [ "Rezaei", "Keivan", "" ], [ "Sanjabi", "Maziar", "" ], [ "Feizi", "Soheil", "" ] ]
We observe that the mapping between an image's representation in one model to its representation in another can be learned surprisingly well with just a linear layer, even across diverse models. Building on this observation, we propose $\textit{text-to-concept}$, where features from a fixed pretrained model are aligned...
2402.17310
Mizuki Fukasawa
Mizuki Fukasawa (1), Tomokazu Fukuda (1), Takuya Akashi (1) ((1) Iwate University)
Method of Tracking and Analysis of Fluorescent-Labeled Cells Using Automatic Thresholding and Labeling
5 pages, 7 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-throughput screening using cell images is an efficient method for screening new candidates for pharmaceutical drugs. To complete the screening process, it is essential to have an efficient process for analyzing cell images. This paper presents a new method for efficiently tracking cells and quantitatively detect...
[ { "created": "Tue, 27 Feb 2024 08:33:03 GMT", "version": "v1" } ]
2024-02-28
[ [ "Fukasawa", "Mizuki", "" ], [ "Fukuda", "Tomokazu", "" ], [ "Akashi", "Takuya", "" ] ]
High-throughput screening using cell images is an efficient method for screening new candidates for pharmaceutical drugs. To complete the screening process, it is essential to have an efficient process for analyzing cell images. This paper presents a new method for efficiently tracking cells and quantitatively detectin...
1504.08200
Bugra Tekin
Bugra Tekin, Xiaolu Sun, Xinchao Wang, Vincent Lepetit, Pascal Fua
Predicting People's 3D Poses from Short Sequences
superseded by arXiv:1511.06692
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Instead of computing candidate poses in individual frames and then linking them, as is often done, we regress directly from a spatio-temporal block of frames to a 3D pose in ...
[ { "created": "Thu, 30 Apr 2015 12:54:39 GMT", "version": "v1" }, { "created": "Fri, 1 May 2015 11:59:56 GMT", "version": "v2" }, { "created": "Mon, 4 May 2015 11:24:56 GMT", "version": "v3" }, { "created": "Mon, 23 Nov 2015 21:48:15 GMT", "version": "v4" } ]
2015-11-25
[ [ "Tekin", "Bugra", "" ], [ "Sun", "Xiaolu", "" ], [ "Wang", "Xinchao", "" ], [ "Lepetit", "Vincent", "" ], [ "Fua", "Pascal", "" ] ]
We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Instead of computing candidate poses in individual frames and then linking them, as is often done, we regress directly from a spatio-temporal block of frames to a 3D pose in th...
2101.08102
Severin Kacianka
Severin Kacianka and Alexander Pretschner
Designing Accountable Systems
accepted for publication at the ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2021
null
10.1145/3442188.3445905
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accountability is an often called for property of technical systems. It is a requirement for algorithmic decision systems, autonomous cyber-physical systems, and for software systems in general. As a concept, accountability goes back to the early history of Liberalism and is suggested as a tool to limit the use of po...
[ { "created": "Wed, 20 Jan 2021 12:59:03 GMT", "version": "v1" } ]
2021-04-30
[ [ "Kacianka", "Severin", "" ], [ "Pretschner", "Alexander", "" ] ]
Accountability is an often called for property of technical systems. It is a requirement for algorithmic decision systems, autonomous cyber-physical systems, and for software systems in general. As a concept, accountability goes back to the early history of Liberalism and is suggested as a tool to limit the use of powe...
2008.08480
Will Rosenbaum
Christine T. Cheng and Will Rosenbaum
Stable Matchings with Restricted Preferences: Structure and Complexity
Various updates and improvements in response to reviewer comments
null
null
null
cs.DM cs.CC cs.GT math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is well known that every stable matching instance $I$ has a rotation poset $R(I)$ that can be computed efficiently and the downsets of $R(I)$ are in one-to-one correspondence with the stable matchings of $I$. Furthermore, for every poset $P$, an instance $I(P)$ can be constructed efficiently so that the rotation p...
[ { "created": "Wed, 19 Aug 2020 14:39:02 GMT", "version": "v1" }, { "created": "Thu, 28 Jan 2021 15:11:47 GMT", "version": "v2" } ]
2021-01-29
[ [ "Cheng", "Christine T.", "" ], [ "Rosenbaum", "Will", "" ] ]
It is well known that every stable matching instance $I$ has a rotation poset $R(I)$ that can be computed efficiently and the downsets of $R(I)$ are in one-to-one correspondence with the stable matchings of $I$. Furthermore, for every poset $P$, an instance $I(P)$ can be constructed efficiently so that the rotation pos...
2406.05873
Justin Kilb
Justin Kilb, Caroline Ellis
Conserving Human Creativity with Evolutionary Generative Algorithms: A Case Study in Music Generation
7 pages, 3 figures
null
null
null
cs.NE cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study explores the application of evolutionary generative algorithms in music production to preserve and enhance human creativity. By integrating human feedback into Differential Evolution algorithms, we produced six songs that were submitted to international record labels, all of which received contract offers....
[ { "created": "Sun, 9 Jun 2024 18:11:05 GMT", "version": "v1" } ]
2024-06-11
[ [ "Kilb", "Justin", "" ], [ "Ellis", "Caroline", "" ] ]
This study explores the application of evolutionary generative algorithms in music production to preserve and enhance human creativity. By integrating human feedback into Differential Evolution algorithms, we produced six songs that were submitted to international record labels, all of which received contract offers. I...
2201.01422
Chongjun Ouyang
Chongjun Ouyang, Yuanwei Liu, and Hongwen Yang
On the Performance of Uplink ISAC Systems
5 pages
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/publicdomain/zero/1.0/
This letter analyzes the performance of uplink integrated sensing and communications (ISAC) systems where communication users (CUs) and radar targets (RTs) share the same frequency band. A non-orthogonal multiple access (NOMA) protocol is adopted in the communication procedure of the ISAC system. Novel expressions ar...
[ { "created": "Wed, 5 Jan 2022 02:56:34 GMT", "version": "v1" }, { "created": "Fri, 27 May 2022 03:54:35 GMT", "version": "v2" } ]
2022-05-30
[ [ "Ouyang", "Chongjun", "" ], [ "Liu", "Yuanwei", "" ], [ "Yang", "Hongwen", "" ] ]
This letter analyzes the performance of uplink integrated sensing and communications (ISAC) systems where communication users (CUs) and radar targets (RTs) share the same frequency band. A non-orthogonal multiple access (NOMA) protocol is adopted in the communication procedure of the ISAC system. Novel expressions are ...
2105.12524
Caglar Demir
Caglar Demir and Axel-Cyrille Ngonga Ngomo
Out-of-Vocabulary Entities in Link Prediction
null
null
null
null
cs.LG cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Knowledge graph embedding techniques are key to making knowledge graphs amenable to the plethora of machine learning approaches based on vector representations. Link prediction is often used as a proxy to evaluate the quality of these embeddings. Given that the creation of benchmarks for link prediction is a time-con...
[ { "created": "Wed, 26 May 2021 12:58:18 GMT", "version": "v1" } ]
2021-05-27
[ [ "Demir", "Caglar", "" ], [ "Ngomo", "Axel-Cyrille Ngonga", "" ] ]
Knowledge graph embedding techniques are key to making knowledge graphs amenable to the plethora of machine learning approaches based on vector representations. Link prediction is often used as a proxy to evaluate the quality of these embeddings. Given that the creation of benchmarks for link prediction is a time-consu...
1403.1362
Shireesha Chintalapati
Shireesha Chintalapati and M. V. Raghunadh
Illumination,Expression and Occlusion Invariant Pose-Adaptive Face Recognition System for Real-Time Applications
7 pages,8 figures, Published with International Journal of Engineering Trends and Technology (IJETT)
International Journal of Engineering Trends and Technology(IJETT), V8(6),292-298 February 2014. Published by seventh sense research group
10.14445/22315381/IJETT-V8P254
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face recognition in real-time scenarios is mainly affected by illumination, expression and pose variations and also by occlusion. This paper presents the framework for pose adaptive component-based face recognition system. The framework proposed deals with all the above mentioned issues. The steps involved in the pre...
[ { "created": "Thu, 6 Mar 2014 07:19:24 GMT", "version": "v1" } ]
2014-03-07
[ [ "Chintalapati", "Shireesha", "" ], [ "Raghunadh", "M. V.", "" ] ]
Face recognition in real-time scenarios is mainly affected by illumination, expression and pose variations and also by occlusion. This paper presents the framework for pose adaptive component-based face recognition system. The framework proposed deals with all the above mentioned issues. The steps involved in the prese...
2311.18488
Sana Javed
Sana Javed, Francisco Garcia-Herrero, Bane Vasic, Mark F. Flanagan
Low-Complexity Linear Programming Based Decoding of Quantum LDPC codes
Accepted for publication at the IEEE International Conference on Communications (ICC) 2024
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This paper proposes two approaches for reducing the impact of the error floor phenomenon when decoding quantum low-density parity-check codes with belief propagation based algorithms. First, a low-complexity syndrome-based linear programming (SB-LP) decoding algorithm is proposed, and second, the proposed SB-LP is ap...
[ { "created": "Thu, 30 Nov 2023 12:01:04 GMT", "version": "v1" }, { "created": "Fri, 19 Jan 2024 15:53:11 GMT", "version": "v2" } ]
2024-01-22
[ [ "Javed", "Sana", "" ], [ "Garcia-Herrero", "Francisco", "" ], [ "Vasic", "Bane", "" ], [ "Flanagan", "Mark F.", "" ] ]
This paper proposes two approaches for reducing the impact of the error floor phenomenon when decoding quantum low-density parity-check codes with belief propagation based algorithms. First, a low-complexity syndrome-based linear programming (SB-LP) decoding algorithm is proposed, and second, the proposed SB-LP is appl...
1511.07792
Elena Dubrova
Elena Dubrova and Mats N\"aslund and Gunnar Carlsson and John Fornehed and Ben Smeets
Two Countermeasures Against Hardware Trojans Exploiting Non-Zero Aliasing Probability of BIST
16 pages, 5 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The threat of hardware Trojans has been widely recognized by academia, industry, and government agencies. A Trojan can compromise security of a system in spite of cryptographic protection. The damage caused by a Trojan may not be limited to a business or reputation, but could have a severe impact on public safety, na...
[ { "created": "Tue, 24 Nov 2015 16:40:08 GMT", "version": "v1" } ]
2015-11-25
[ [ "Dubrova", "Elena", "" ], [ "Näslund", "Mats", "" ], [ "Carlsson", "Gunnar", "" ], [ "Fornehed", "John", "" ], [ "Smeets", "Ben", "" ] ]
The threat of hardware Trojans has been widely recognized by academia, industry, and government agencies. A Trojan can compromise security of a system in spite of cryptographic protection. The damage caused by a Trojan may not be limited to a business or reputation, but could have a severe impact on public safety, nati...
2006.13833
Luis Lastras
Luis A. Lastras
Lattice Representation Learning
null
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article we introduce theory and algorithms for learning discrete representations that take on a lattice that is embedded in an Euclidean space. Lattice representations possess an interesting combination of properties: a) they can be computed explicitly using lattice quantization, yet they can be learned effic...
[ { "created": "Wed, 24 Jun 2020 16:05:11 GMT", "version": "v1" } ]
2020-06-25
[ [ "Lastras", "Luis A.", "" ] ]
In this article we introduce theory and algorithms for learning discrete representations that take on a lattice that is embedded in an Euclidean space. Lattice representations possess an interesting combination of properties: a) they can be computed explicitly using lattice quantization, yet they can be learned efficie...
2111.04671
David Pujol
David Pujol, Ashwin Machanavajjhala
Equity and Privacy: More Than Just a Tradeoff
3 pages, 1 figure. Published in IEEE Security & Privacy ( Volume: 19, Issue: 6, Nov.-Dec. 2021)
null
10.1109/MSEC.2021.3105773
null
cs.CY cs.CR
http://creativecommons.org/licenses/by/4.0/
While the entire field of privacy preserving data analytics is focused on the privacy-utility tradeoff, recent work has shown that privacy preserving data publishing can introduce different levels of utility across different population groups. It is important to understand this new tradeoff between privacy and equity...
[ { "created": "Mon, 8 Nov 2021 17:39:32 GMT", "version": "v1" } ]
2021-11-09
[ [ "Pujol", "David", "" ], [ "Machanavajjhala", "Ashwin", "" ] ]
While the entire field of privacy preserving data analytics is focused on the privacy-utility tradeoff, recent work has shown that privacy preserving data publishing can introduce different levels of utility across different population groups. It is important to understand this new tradeoff between privacy and equity a...
2103.03443
Riccardo Paccagnella
Riccardo Paccagnella and Licheng Luo and Christopher W. Fletcher
Lord of the Ring(s): Side Channel Attacks on the CPU On-Chip Ring Interconnect Are Practical
This is the extended version of a paper that appears in USENIX Security 2021
null
null
null
cs.CR cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the first microarchitectural side channel attacks that leverage contention on the CPU ring interconnect. There are two challenges that make it uniquely difficult to exploit this channel. First, little is known about the ring interconnect's functioning and architecture. Second, information that can be lea...
[ { "created": "Fri, 5 Mar 2021 02:44:20 GMT", "version": "v1" } ]
2021-03-08
[ [ "Paccagnella", "Riccardo", "" ], [ "Luo", "Licheng", "" ], [ "Fletcher", "Christopher W.", "" ] ]
We introduce the first microarchitectural side channel attacks that leverage contention on the CPU ring interconnect. There are two challenges that make it uniquely difficult to exploit this channel. First, little is known about the ring interconnect's functioning and architecture. Second, information that can be learn...
1609.09267
Andrea Romanoni
Gheorghii Postica and Andrea Romanoni and Matteo Matteucci
Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues
6 pages, to appear in IROS 2016
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting moving objects in dynamic scenes from sequences of lidar scans is an important task in object tracking, mapping, localization, and navigation. Many works focus on changes detection in previously observed scenes, while a very limited amount of literature addresses moving objects detection. The state-of-the-a...
[ { "created": "Thu, 29 Sep 2016 09:29:46 GMT", "version": "v1" } ]
2016-09-30
[ [ "Postica", "Gheorghii", "" ], [ "Romanoni", "Andrea", "" ], [ "Matteucci", "Matteo", "" ] ]
Detecting moving objects in dynamic scenes from sequences of lidar scans is an important task in object tracking, mapping, localization, and navigation. Many works focus on changes detection in previously observed scenes, while a very limited amount of literature addresses moving objects detection. The state-of-the-art...
2210.17087
Youpeng Zhao
Yudong Lu, Jian Zhao, Youpeng Zhao, Wengang Zhou, Houqiang Li
DanZero: Mastering GuanDan Game with Reinforcement Learning
null
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Card game AI has always been a hot topic in the research of artificial intelligence. In recent years, complex card games such as Mahjong, DouDizhu and Texas Hold'em have been solved and the corresponding AI programs have reached the level of human experts. In this paper, we are devoted to developing an AI program for...
[ { "created": "Mon, 31 Oct 2022 06:29:08 GMT", "version": "v1" } ]
2022-11-01
[ [ "Lu", "Yudong", "" ], [ "Zhao", "Jian", "" ], [ "Zhao", "Youpeng", "" ], [ "Zhou", "Wengang", "" ], [ "Li", "Houqiang", "" ] ]
Card game AI has always been a hot topic in the research of artificial intelligence. In recent years, complex card games such as Mahjong, DouDizhu and Texas Hold'em have been solved and the corresponding AI programs have reached the level of human experts. In this paper, we are devoted to developing an AI program for a...
2406.12896
Wei Zhang
Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
Preprint, accepted to appear in SIGKDD 2024, 12 pages. The source code is available at https://github.com/JJCui96/GRKT. Keywords: interpretable knowledge tracing, student behavior modeling, intelligence education
null
null
null
cs.AI cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Knowledge tracing (KT) is a crucial task in intelligent education, focusing on predicting students' performance on given questions to trace their evolving knowledge. The advancement of deep learning in this field has led to deep-learning knowledge tracing (DLKT) models that prioritize high predictive accuracy. Howeve...
[ { "created": "Fri, 7 Jun 2024 10:14:30 GMT", "version": "v1" } ]
2024-06-21
[ [ "Cui", "Jiajun", "" ], [ "Qian", "Hong", "" ], [ "Jiang", "Bo", "" ], [ "Zhang", "Wei", "" ] ]
Knowledge tracing (KT) is a crucial task in intelligent education, focusing on predicting students' performance on given questions to trace their evolving knowledge. The advancement of deep learning in this field has led to deep-learning knowledge tracing (DLKT) models that prioritize high predictive accuracy. However,...
1507.03851
Enric Rodriguez Carbonell
Marc Brockschmidt, Daniel Larraz, Albert Oliveras, Enric Rodriguez-Carbonell, Albert Rubio
Compositional Safety Verification with Max-SMT
Extended technical report version of the conference paper at FMCAD'15
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an automated compositional program verification technique for safety properties based on conditional inductive invariants. For a given program part (e.g., a single loop) and a postcondition $\varphi$, we show how to, using a Max-SMT solver, an inductive invariant together with a precondition can be synthes...
[ { "created": "Tue, 14 Jul 2015 14:01:56 GMT", "version": "v1" }, { "created": "Wed, 15 Jul 2015 05:41:20 GMT", "version": "v2" }, { "created": "Mon, 3 Aug 2015 21:41:23 GMT", "version": "v3" } ]
2015-08-05
[ [ "Brockschmidt", "Marc", "" ], [ "Larraz", "Daniel", "" ], [ "Oliveras", "Albert", "" ], [ "Rodriguez-Carbonell", "Enric", "" ], [ "Rubio", "Albert", "" ] ]
We present an automated compositional program verification technique for safety properties based on conditional inductive invariants. For a given program part (e.g., a single loop) and a postcondition $\varphi$, we show how to, using a Max-SMT solver, an inductive invariant together with a precondition can be synthesiz...
1910.09787
Congcong Miao
Congcong Miao and Jilong Wang and Shuying Zhuang and Changqing An
A Coordinated View of Cyberspace
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cyberspace is an online world created by growing network of computing and communication technologies. It is a virtual space of the Internet, paralleled to geographic space we are living on. As becoming a recognized component of our society, cyberspace gradually draws more attention in academic research. Many prior ef...
[ { "created": "Tue, 22 Oct 2019 06:50:02 GMT", "version": "v1" } ]
2019-10-23
[ [ "Miao", "Congcong", "" ], [ "Wang", "Jilong", "" ], [ "Zhuang", "Shuying", "" ], [ "An", "Changqing", "" ] ]
Cyberspace is an online world created by growing network of computing and communication technologies. It is a virtual space of the Internet, paralleled to geographic space we are living on. As becoming a recognized component of our society, cyberspace gradually draws more attention in academic research. Many prior effo...
2210.14505
Xiujing Zheng
Xiujing Zheng and Liqi Wang and Shixin Zhu
Constructions of entanglement-assisted quantum MDS codes from generalized Reed-Solomon codes
21 pages. 5 table
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By generalizing the stabilizer quantum error-correcting codes, entanglement-assisted quantum error-correcting (EAQEC) codes were introduced, which could be derived from any classical linear codes via the relaxation of self-orthogonality conditions with the aid of pre-shared entanglement between the sender and the rec...
[ { "created": "Wed, 26 Oct 2022 06:30:15 GMT", "version": "v1" }, { "created": "Sat, 16 Mar 2024 07:26:52 GMT", "version": "v2" } ]
2024-03-19
[ [ "Zheng", "Xiujing", "" ], [ "Wang", "Liqi", "" ], [ "Zhu", "Shixin", "" ] ]
By generalizing the stabilizer quantum error-correcting codes, entanglement-assisted quantum error-correcting (EAQEC) codes were introduced, which could be derived from any classical linear codes via the relaxation of self-orthogonality conditions with the aid of pre-shared entanglement between the sender and the recei...
1610.04591
Peter LeFanu Lumsdaine
Andrej Bauer, Jason Gross, Peter LeFanu Lumsdaine, Mike Shulman, Matthieu Sozeau, and Bas Spitters
The HoTT Library: A formalization of homotopy type theory in Coq
null
null
null
null
cs.LO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report on the development of the HoTT library, a formalization of homotopy type theory in the Coq proof assistant. It formalizes most of basic homotopy type theory, including univalence, higher inductive types, and significant amounts of synthetic homotopy theory, as well as category theory and modalities. The lib...
[ { "created": "Fri, 14 Oct 2016 19:23:50 GMT", "version": "v1" }, { "created": "Fri, 9 Dec 2016 16:31:04 GMT", "version": "v2" } ]
2017-05-02
[ [ "Bauer", "Andrej", "" ], [ "Gross", "Jason", "" ], [ "Lumsdaine", "Peter LeFanu", "" ], [ "Shulman", "Mike", "" ], [ "Sozeau", "Matthieu", "" ], [ "Spitters", "Bas", "" ] ]
We report on the development of the HoTT library, a formalization of homotopy type theory in the Coq proof assistant. It formalizes most of basic homotopy type theory, including univalence, higher inductive types, and significant amounts of synthetic homotopy theory, as well as category theory and modalities. The libra...
1805.11462
Vincent Nguyen
Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
OpenNMT: Neural Machine Translation Toolkit
Presentation to AMTA 2018 - Boston. arXiv admin note: substantial text overlap with arXiv:1701.02810
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
OpenNMT is an open-source toolkit for neural machine translation (NMT). The system prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities, while maintaining competitive performance and reasonable training ...
[ { "created": "Mon, 28 May 2018 07:58:46 GMT", "version": "v1" } ]
2018-05-30
[ [ "Klein", "Guillaume", "" ], [ "Kim", "Yoon", "" ], [ "Deng", "Yuntian", "" ], [ "Nguyen", "Vincent", "" ], [ "Senellart", "Jean", "" ], [ "Rush", "Alexander M.", "" ] ]
OpenNMT is an open-source toolkit for neural machine translation (NMT). The system prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities, while maintaining competitive performance and reasonable training re...
1702.07492
Ahmed Qureshi
Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa and Hiroshi Ishiguro
Robot gains Social Intelligence through Multimodal Deep Reinforcement Learning
The paper is published in IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2016
null
null
null
cs.RO cs.AI cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For robots to coexist with humans in a social world like ours, it is crucial that they possess human-like social interaction skills. Programming a robot to possess such skills is a challenging task. In this paper, we propose a Multimodal Deep Q-Network (MDQN) to enable a robot to learn human-like interaction skills t...
[ { "created": "Fri, 24 Feb 2017 08:30:43 GMT", "version": "v1" } ]
2017-02-27
[ [ "Qureshi", "Ahmed Hussain", "" ], [ "Nakamura", "Yutaka", "" ], [ "Yoshikawa", "Yuichiro", "" ], [ "Ishiguro", "Hiroshi", "" ] ]
For robots to coexist with humans in a social world like ours, it is crucial that they possess human-like social interaction skills. Programming a robot to possess such skills is a challenging task. In this paper, we propose a Multimodal Deep Q-Network (MDQN) to enable a robot to learn human-like interaction skills thr...