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2310.04809
Jan Reineke
Valentin Touzeau and Jan Reineke
Leveraging LLVM's ScalarEvolution for Symbolic Data Cache Analysis
Extended version of RTSS 2023 paper including definitions and proofs omitted in the conference version due to space constraints
null
null
null
cs.PL
http://creativecommons.org/licenses/by-nc-sa/4.0/
While instruction cache analysis is essentially a solved problem, data cache analysis is more challenging. In contrast to instruction fetches, the data accesses generated by a memory instruction may vary with the program's inputs and across dynamic occurrences of the same instruction in loops. We observe that the p...
[ { "created": "Sat, 7 Oct 2023 14:02:55 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 09:05:30 GMT", "version": "v2" } ]
2023-10-18
[ [ "Touzeau", "Valentin", "" ], [ "Reineke", "Jan", "" ] ]
While instruction cache analysis is essentially a solved problem, data cache analysis is more challenging. In contrast to instruction fetches, the data accesses generated by a memory instruction may vary with the program's inputs and across dynamic occurrences of the same instruction in loops. We observe that the plain...
1805.02039
Josue Ortega
Josue Ortega
Integration in Social Networks
null
Physica A: Statistical Mechanics and its Applications; 2019
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose the notion of $k$-integration as a measure of equality of opportunity in social networks. A social network is $k$-integrated if there is a path of length at most $k$ between any two individuals, thus guaranteeing that everybody has the same network opportunities to find a job, a romantic partner, or valuab...
[ { "created": "Sat, 5 May 2018 10:57:45 GMT", "version": "v1" }, { "created": "Fri, 24 May 2019 11:46:01 GMT", "version": "v2" } ]
2019-05-27
[ [ "Ortega", "Josue", "" ] ]
We propose the notion of $k$-integration as a measure of equality of opportunity in social networks. A social network is $k$-integrated if there is a path of length at most $k$ between any two individuals, thus guaranteeing that everybody has the same network opportunities to find a job, a romantic partner, or valuable...
1807.04834
Yandong Wen
Yandong Wen, Mahmoud Al Ismail, Bhiksha Raj, Rita Singh
Optimal Strategies for Matching and Retrieval Problems by Comparing Covariates
support material for "Disjoint Mapping Network for Cross-modal Matching of Voices and Faces"
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many retrieval problems, where we must retrieve one or more entries from a gallery in response to a probe, it is common practice to learn to do by directly comparing the probe and gallery entries to one another. In many situations the gallery and probe have common covariates -- external variables that are common t...
[ { "created": "Thu, 12 Jul 2018 21:36:07 GMT", "version": "v1" }, { "created": "Mon, 16 Jul 2018 00:53:37 GMT", "version": "v2" } ]
2018-07-17
[ [ "Wen", "Yandong", "" ], [ "Ismail", "Mahmoud Al", "" ], [ "Raj", "Bhiksha", "" ], [ "Singh", "Rita", "" ] ]
In many retrieval problems, where we must retrieve one or more entries from a gallery in response to a probe, it is common practice to learn to do by directly comparing the probe and gallery entries to one another. In many situations the gallery and probe have common covariates -- external variables that are common to ...
2103.15396
Ziyu Li
Ziyu Li, Yuncong Yao, Zhibin Quan, Wankou Yang, Jin Xie
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
LiDAR-based 3D object detection pushes forward an immense influence on autonomous vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected at the objects farther away from the sensor. This imbalanced density of point clouds degrades the detection accuracy but is generally negle...
[ { "created": "Mon, 29 Mar 2021 07:45:09 GMT", "version": "v1" }, { "created": "Thu, 1 Apr 2021 02:16:52 GMT", "version": "v2" } ]
2021-04-02
[ [ "Li", "Ziyu", "" ], [ "Yao", "Yuncong", "" ], [ "Quan", "Zhibin", "" ], [ "Yang", "Wankou", "" ], [ "Xie", "Jin", "" ] ]
LiDAR-based 3D object detection pushes forward an immense influence on autonomous vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected at the objects farther away from the sensor. This imbalanced density of point clouds degrades the detection accuracy but is generally neglect...
1807.06107
Amita Misra
Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy, Jalal Mahmud, Rama Akkiraju
Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the last several years, Twitter is being adopted by the companies as an alternative platform to interact with the customers to address their concerns. With the abundance of such unconventional conversation resources, push for developing effective virtual agents is more than ever. To address this challenge, a bette...
[ { "created": "Mon, 16 Jul 2018 21:01:52 GMT", "version": "v1" } ]
2018-07-18
[ [ "Bhuiyan", "Mansurul", "" ], [ "Misra", "Amita", "" ], [ "Tripathy", "Saurabh", "" ], [ "Mahmud", "Jalal", "" ], [ "Akkiraju", "Rama", "" ] ]
In the last several years, Twitter is being adopted by the companies as an alternative platform to interact with the customers to address their concerns. With the abundance of such unconventional conversation resources, push for developing effective virtual agents is more than ever. To address this challenge, a better ...
2010.10556
Peidong Wang
Peidong Wang, Zhuo Chen, DeLiang Wang, Jinyu Li, Yifan Gong
Speaker Separation Using Speaker Inventories and Estimated Speech
null
null
null
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose speaker separation using speaker inventories and estimated speech (SSUSIES), a framework leveraging speaker profiles and estimated speech for speaker separation. SSUSIES contains two methods, speaker separation using speaker inventories (SSUSI) and speaker separation using estimated speech (SSUES). SSUSI p...
[ { "created": "Tue, 20 Oct 2020 18:15:45 GMT", "version": "v1" } ]
2020-10-22
[ [ "Wang", "Peidong", "" ], [ "Chen", "Zhuo", "" ], [ "Wang", "DeLiang", "" ], [ "Li", "Jinyu", "" ], [ "Gong", "Yifan", "" ] ]
We propose speaker separation using speaker inventories and estimated speech (SSUSIES), a framework leveraging speaker profiles and estimated speech for speaker separation. SSUSIES contains two methods, speaker separation using speaker inventories (SSUSI) and speaker separation using estimated speech (SSUES). SSUSI per...
2206.14532
Keshigeyan Chandrasegaran
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
ICML 2022; 27 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). Contemporary findings addressing this thesis statement take dichotomous standpoints: Muller et al. (2019) and Shen et al. (2021b). Critically, there is no effort to understand and resolve these contradictory finding...
[ { "created": "Wed, 29 Jun 2022 11:00:44 GMT", "version": "v1" } ]
2022-06-30
[ [ "Chandrasegaran", "Keshigeyan", "" ], [ "Tran", "Ngoc-Trung", "" ], [ "Zhao", "Yunqing", "" ], [ "Cheung", "Ngai-Man", "" ] ]
This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). Contemporary findings addressing this thesis statement take dichotomous standpoints: Muller et al. (2019) and Shen et al. (2021b). Critically, there is no effort to understand and resolve these contradictory findings,...
2211.15751
Renjie Xu
Renjie Xu, Saiedeh Razavi and Rong Zheng
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Accepted in IEEE Communications Surveys and Tutorials, 2023
null
10.1109/COMST.2023.3232091
null
cs.NI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable cameras for a variety of applications, e.g., law enforcement, emergency management, traffic control, and security surveillance, all facilitated...
[ { "created": "Mon, 28 Nov 2022 20:11:37 GMT", "version": "v1" }, { "created": "Tue, 19 Sep 2023 18:21:35 GMT", "version": "v2" }, { "created": "Wed, 11 Oct 2023 15:13:02 GMT", "version": "v3" } ]
2023-10-12
[ [ "Xu", "Renjie", "" ], [ "Razavi", "Saiedeh", "" ], [ "Zheng", "Rong", "" ] ]
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable cameras for a variety of applications, e.g., law enforcement, emergency management, traffic control, and security surveillance, all facilitated b...
2109.01538
Somenath Chakraborty
Somenath Chakraborty, Beddhu Murali
Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The objectives of this paper are to explore ways to analyze breast cancer dataset in the context of unsupervised learning without prior training model. The paper investigates different ways of clustering techniques as well as preprocessing. This in-depth analysis builds the footprint which can further use for designi...
[ { "created": "Fri, 3 Sep 2021 14:02:17 GMT", "version": "v1" } ]
2021-09-06
[ [ "Chakraborty", "Somenath", "" ], [ "Murali", "Beddhu", "" ] ]
The objectives of this paper are to explore ways to analyze breast cancer dataset in the context of unsupervised learning without prior training model. The paper investigates different ways of clustering techniques as well as preprocessing. This in-depth analysis builds the footprint which can further use for designing...
2302.10900
Liang Qu
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
Semi-decentralized Federated Ego Graph Learning for Recommendation
null
null
null
null
cs.LG cs.AI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Collaborative filtering (CF) based recommender systems are typically trained based on personal interaction data (e.g., clicks and purchases) that could be naturally represented as ego graphs. However, most existing recommendation methods collect these ego graphs from all users to compose a global graph to obtain high...
[ { "created": "Fri, 10 Feb 2023 03:57:45 GMT", "version": "v1" } ]
2023-02-23
[ [ "Qu", "Liang", "" ], [ "Tang", "Ningzhi", "" ], [ "Zheng", "Ruiqi", "" ], [ "Nguyen", "Quoc Viet Hung", "" ], [ "Huang", "Zi", "" ], [ "Shi", "Yuhui", "" ], [ "Yin", "Hongzhi", "" ] ]
Collaborative filtering (CF) based recommender systems are typically trained based on personal interaction data (e.g., clicks and purchases) that could be naturally represented as ego graphs. However, most existing recommendation methods collect these ego graphs from all users to compose a global graph to obtain high-o...
2401.04820
Furkan \c{C}olhak
Furkan \c{C}olhak, Mert \.Ilhan Ecevit, Bilal Emir U\c{c}ar, Reiner Creutzburg, Hasan Da\u{g}
Phishing Website Detection through Multi-Model Analysis of HTML Content
null
null
null
null
cs.CR cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The way we communicate and work has changed significantly with the rise of the Internet. While it has opened up new opportunities, it has also brought about an increase in cyber threats. One common and serious threat is phishing, where cybercriminals employ deceptive methods to steal sensitive information.This study ...
[ { "created": "Tue, 9 Jan 2024 21:08:13 GMT", "version": "v1" }, { "created": "Sun, 10 Mar 2024 11:13:32 GMT", "version": "v2" }, { "created": "Wed, 10 Jul 2024 10:47:07 GMT", "version": "v3" } ]
2024-07-11
[ [ "Çolhak", "Furkan", "" ], [ "Ecevit", "Mert İlhan", "" ], [ "Uçar", "Bilal Emir", "" ], [ "Creutzburg", "Reiner", "" ], [ "Dağ", "Hasan", "" ] ]
The way we communicate and work has changed significantly with the rise of the Internet. While it has opened up new opportunities, it has also brought about an increase in cyber threats. One common and serious threat is phishing, where cybercriminals employ deceptive methods to steal sensitive information.This study ad...
1411.2405
Zahra Sabet Sarvestani
Zahra Sabetsarvestani, Hamidreza Amindavar
Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior
null
null
null
null
cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the use of the Generalized Beta Mixture (GBM) and Horseshoe distributions as priors in the Bayesian Compressive Sensing framework is proposed. The distributions are considered in a two-layer hierarchical model, making the corresponding inference problem amenable to Expectation Maximization (EM). We pre...
[ { "created": "Mon, 10 Nov 2014 13:01:10 GMT", "version": "v1" } ]
2014-11-11
[ [ "Sabetsarvestani", "Zahra", "" ], [ "Amindavar", "Hamidreza", "" ] ]
In this paper, the use of the Generalized Beta Mixture (GBM) and Horseshoe distributions as priors in the Bayesian Compressive Sensing framework is proposed. The distributions are considered in a two-layer hierarchical model, making the corresponding inference problem amenable to Expectation Maximization (EM). We prese...
1202.4128
Nadeem Javaid
N. Javaid, A. Bibi, Z. A. Khan, U. Khan, K. Djouani
Evaluating Wireless Proactive Routing Protocols under Scalability and Traffic Constraints
48th ICC-AHSN, 2012; Ottawa Canada
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we evaluate and analyze the impact of different network loads and varying no. of nodes on distance vector and link state routing algorithms. We select three well known proactive protocols; Destination Sequenced Distance Vector (DSDV) operates on distance vector routing, while Fisheye State Routing (FSR...
[ { "created": "Sun, 19 Feb 2012 06:43:23 GMT", "version": "v1" } ]
2012-02-21
[ [ "Javaid", "N.", "" ], [ "Bibi", "A.", "" ], [ "Khan", "Z. A.", "" ], [ "Khan", "U.", "" ], [ "Djouani", "K.", "" ] ]
In this paper, we evaluate and analyze the impact of different network loads and varying no. of nodes on distance vector and link state routing algorithms. We select three well known proactive protocols; Destination Sequenced Distance Vector (DSDV) operates on distance vector routing, while Fisheye State Routing (FSR) ...
2209.08827
Damien Hansen
Damien Hansen (CIRTI, GETALP), Pierre-Yves Houlmont (CIRTI)
A Snapshot into the Possibility of Video Game Machine Translation
null
The 15th Conference of the Association for Machine Translation in the Americas, AMTA, Sep 2022, Orlando (FL), United States. pp.257-269
null
null
cs.CL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present in this article what we believe to be one of the first attempts at video game machine translation. Our study shows that models trained only with limited in-domain data surpass publicly available systems by a significant margin, and a subsequent human evaluation reveals interesting findings in the final tra...
[ { "created": "Mon, 19 Sep 2022 08:16:59 GMT", "version": "v1" } ]
2022-09-20
[ [ "Hansen", "Damien", "", "CIRTI, GETALP" ], [ "Houlmont", "Pierre-Yves", "", "CIRTI" ] ]
We present in this article what we believe to be one of the first attempts at video game machine translation. Our study shows that models trained only with limited in-domain data surpass publicly available systems by a significant margin, and a subsequent human evaluation reveals interesting findings in the final trans...
2404.09687
Leon Schiller
Johannes Lengler, Leon Schiller, Oliver Sieberling
Plus Strategies are Exponentially Slower for Planted Optima of Random Height
null
null
10.1145/3638529.3654088
null
cs.NE cs.AI math.PR
http://creativecommons.org/licenses/by/4.0/
We compare the $(1,\lambda)$-EA and the $(1 + \lambda)$-EA on the recently introduced benchmark DisOM, which is the OneMax function with randomly planted local optima. Previous work showed that if all local optima have the same relative height, then the plus strategy never loses more than a factor $O(n\log n)$ compar...
[ { "created": "Mon, 15 Apr 2024 11:37:47 GMT", "version": "v1" } ]
2024-04-16
[ [ "Lengler", "Johannes", "" ], [ "Schiller", "Leon", "" ], [ "Sieberling", "Oliver", "" ] ]
We compare the $(1,\lambda)$-EA and the $(1 + \lambda)$-EA on the recently introduced benchmark DisOM, which is the OneMax function with randomly planted local optima. Previous work showed that if all local optima have the same relative height, then the plus strategy never loses more than a factor $O(n\log n)$ compared...
2207.14381
Xing Nie
Xing Nie, Bolin Ni, Jianlong Chang, Gaomeng Meng, Chunlei Huo, Zhaoxiang Zhang, Shiming Xiang, Qi Tian, Chunhong Pan
Pro-tuning: Unified Prompt Tuning for Vision Tasks
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In computer vision, fine-tuning is the de-facto approach to leverage pre-trained vision models to perform downstream tasks. However, deploying it in practice is quite challenging, due to adopting parameter inefficient global update and heavily relying on high-quality downstream data. Recently, prompt-based learning, ...
[ { "created": "Thu, 28 Jul 2022 21:09:31 GMT", "version": "v1" }, { "created": "Sun, 14 Aug 2022 18:16:35 GMT", "version": "v2" }, { "created": "Tue, 23 Aug 2022 03:39:05 GMT", "version": "v3" } ]
2022-08-24
[ [ "Nie", "Xing", "" ], [ "Ni", "Bolin", "" ], [ "Chang", "Jianlong", "" ], [ "Meng", "Gaomeng", "" ], [ "Huo", "Chunlei", "" ], [ "Zhang", "Zhaoxiang", "" ], [ "Xiang", "Shiming", "" ], [ "Tian", ...
In computer vision, fine-tuning is the de-facto approach to leverage pre-trained vision models to perform downstream tasks. However, deploying it in practice is quite challenging, due to adopting parameter inefficient global update and heavily relying on high-quality downstream data. Recently, prompt-based learning, wh...
2303.15762
Shlomi Steinberg
Shlomi Steinberg, Ravi Ramamoorthi, Benedikt Bitterli, Eugene d'Eon, Ling-Qi Yan, Matt Pharr
A Generalized Ray Formulation For Wave-Optics Rendering
For additional information, see https://ssteinberg.xyz/2023/03/27/rtplt/
null
null
null
cs.GR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Under ray-optical light transport, the classical ray serves as a linear and local "point query" of light's behaviour. Linearity and locality are crucial to the formulation of sophisticated path tracing and sampling techniques, that enable efficient solutions to light transport problems in complex, real-world settings...
[ { "created": "Tue, 28 Mar 2023 06:42:52 GMT", "version": "v1" }, { "created": "Sun, 7 Jan 2024 22:05:44 GMT", "version": "v2" } ]
2024-01-09
[ [ "Steinberg", "Shlomi", "" ], [ "Ramamoorthi", "Ravi", "" ], [ "Bitterli", "Benedikt", "" ], [ "d'Eon", "Eugene", "" ], [ "Yan", "Ling-Qi", "" ], [ "Pharr", "Matt", "" ] ]
Under ray-optical light transport, the classical ray serves as a linear and local "point query" of light's behaviour. Linearity and locality are crucial to the formulation of sophisticated path tracing and sampling techniques, that enable efficient solutions to light transport problems in complex, real-world settings a...
2406.09423
Yuxiao Li
Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors
null
null
null
null
cs.DC cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This research explores a novel paradigm for preserving topological segmentations in existing error-bounded lossy compressors. Today's lossy compressors rarely consider preserving topologies such as Morse-Smale complexes, and the discrepancies in topology between original and decompressed datasets could potentially re...
[ { "created": "Fri, 5 Apr 2024 20:32:51 GMT", "version": "v1" }, { "created": "Fri, 5 Jul 2024 04:42:10 GMT", "version": "v2" } ]
2024-07-08
[ [ "Li", "Yuxiao", "" ], [ "Liang", "Xin", "" ], [ "Wang", "Bei", "" ], [ "Qiu", "Yongfeng", "" ], [ "Yan", "Lin", "" ], [ "Guo", "Hanqi", "" ] ]
This research explores a novel paradigm for preserving topological segmentations in existing error-bounded lossy compressors. Today's lossy compressors rarely consider preserving topologies such as Morse-Smale complexes, and the discrepancies in topology between original and decompressed datasets could potentially resu...
2006.06217
Abhishek Gupta
Abhishek Gupta (1 and 2), Camylle Lanteigne (1 and 3), and Sara Kingsley (4) ((1) Montreal AI Ethics Institute, (2) Microsoft, (3) McGill University, (4) Carnegie Mellon University)
SECure: A Social and Environmental Certificate for AI Systems
Accepted for presentation at the Canadian Society for Ecological Economics 2020 Research Symposium, Tracing the Veins 2020, ICML 2020 Deploying and Monitoring Machine Learning Systems workshop
null
null
null
cs.CY cs.AI cs.LG econ.GN q-fin.EC
http://creativecommons.org/licenses/by/4.0/
In a world increasingly dominated by AI applications, an understudied aspect is the carbon and social footprint of these power-hungry algorithms that require copious computation and a trove of data for training and prediction. While profitable in the short-term, these practices are unsustainable and socially extracti...
[ { "created": "Thu, 11 Jun 2020 06:10:46 GMT", "version": "v1" }, { "created": "Sun, 19 Jul 2020 12:39:45 GMT", "version": "v2" } ]
2020-07-21
[ [ "Gupta", "Abhishek", "", "1 and 2" ], [ "Lanteigne", "Camylle", "", "1 and 3" ], [ "Kingsley", "Sara", "" ] ]
In a world increasingly dominated by AI applications, an understudied aspect is the carbon and social footprint of these power-hungry algorithms that require copious computation and a trove of data for training and prediction. While profitable in the short-term, these practices are unsustainable and socially extractive...
2306.11572
Hyunsoo Yang
Jia Si, Shuhan Yang, Yunuo Cen, Jiaer Chen, Zhaoyang Yao, Dong-Jun Kim, Kaiming Cai, Jerald Yoo, Xuanyao Fong, Hyunsoo Yang
Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems
5 figures
null
null
null
cs.ET cond-mat.other physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The growth of artificial intelligence and IoT has created a significant computational load for solving non-deterministic polynomial-time (NP)-hard problems, which are difficult to solve using conventional computers. The Ising computer, based on the Ising model and annealing process, has been highly sought for finding...
[ { "created": "Tue, 20 Jun 2023 14:40:34 GMT", "version": "v1" } ]
2023-06-21
[ [ "Si", "Jia", "" ], [ "Yang", "Shuhan", "" ], [ "Cen", "Yunuo", "" ], [ "Chen", "Jiaer", "" ], [ "Yao", "Zhaoyang", "" ], [ "Kim", "Dong-Jun", "" ], [ "Cai", "Kaiming", "" ], [ "Yoo", "Jerald", ...
The growth of artificial intelligence and IoT has created a significant computational load for solving non-deterministic polynomial-time (NP)-hard problems, which are difficult to solve using conventional computers. The Ising computer, based on the Ising model and annealing process, has been highly sought for finding a...
2408.00920
Binchi Zhang
Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li
Towards Certified Unlearning for Deep Neural Networks
ICML 2024
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
In the field of machine unlearning, certified unlearning has been extensively studied in convex machine learning models due to its high efficiency and strong theoretical guarantees. However, its application to deep neural networks (DNNs), known for their highly nonconvex nature, still poses challenges. To bridge the ...
[ { "created": "Thu, 1 Aug 2024 21:22:10 GMT", "version": "v1" } ]
2024-08-05
[ [ "Zhang", "Binchi", "" ], [ "Dong", "Yushun", "" ], [ "Wang", "Tianhao", "" ], [ "Li", "Jundong", "" ] ]
In the field of machine unlearning, certified unlearning has been extensively studied in convex machine learning models due to its high efficiency and strong theoretical guarantees. However, its application to deep neural networks (DNNs), known for their highly nonconvex nature, still poses challenges. To bridge the ga...
2202.12245
Marcos Faundez-Zanuy
Laurence Likforman-Sulem, Anna Esposito, Marcos Faundez-Zanuy, Stephan Clemen\c{c}on, Gennaro Cordasco
EMOTHAW: A novel database for emotional state recognition from handwriting
31 pages
IEEE Transactions on Human-Machine Systems, vol. 47, no. 2, pp. 273-284, April 2017
10.1109/THMS.2016.2635441
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The detection of negative emotions through daily activities such as handwriting is useful for promoting well-being. The spread of human-machine interfaces such as tablets makes the collection of handwriting samples easier. In this context, we present a first publicly available handwriting database which relates emoti...
[ { "created": "Wed, 23 Feb 2022 15:15:44 GMT", "version": "v1" } ]
2022-02-25
[ [ "Likforman-Sulem", "Laurence", "" ], [ "Esposito", "Anna", "" ], [ "Faundez-Zanuy", "Marcos", "" ], [ "Clemençon", "Stephan", "" ], [ "Cordasco", "Gennaro", "" ] ]
The detection of negative emotions through daily activities such as handwriting is useful for promoting well-being. The spread of human-machine interfaces such as tablets makes the collection of handwriting samples easier. In this context, we present a first publicly available handwriting database which relates emotion...
2211.15272
Nico Stucki
Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern Menze, Ulrich Bauer
Topologically faithful image segmentation via induced matching of persistence barcodes
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Image segmentation is a largely researched field where neural networks find vast applications in many facets of technology. Some of the most popular approaches to train segmentation networks employ loss functions optimizing pixel-overlap, an objective that is insufficient for many segmentation tasks. In recent years,...
[ { "created": "Mon, 28 Nov 2022 12:57:57 GMT", "version": "v1" } ]
2022-11-29
[ [ "Stucki", "Nico", "" ], [ "Paetzold", "Johannes C.", "" ], [ "Shit", "Suprosanna", "" ], [ "Menze", "Bjoern", "" ], [ "Bauer", "Ulrich", "" ] ]
Image segmentation is a largely researched field where neural networks find vast applications in many facets of technology. Some of the most popular approaches to train segmentation networks employ loss functions optimizing pixel-overlap, an objective that is insufficient for many segmentation tasks. In recent years, t...
2203.05140
Masashi Takeshita
Masashi Takeshita and Rafal Rzepka and Kenji Araki
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
This paper is an accepted manuscript for publication in Information Processing & Management
null
10.1016/j.ipm.2022.103050
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Various existing studies have analyzed what social biases are inherited by NLP models. These biases may directly or indirectly harm people, therefore previous studies have focused only on human attributes. However, until recently no research on social biases in NLP regarding nonhumans existed. In this paper, we analy...
[ { "created": "Thu, 10 Mar 2022 03:32:29 GMT", "version": "v1" }, { "created": "Tue, 15 Mar 2022 07:52:18 GMT", "version": "v2" }, { "created": "Fri, 12 Aug 2022 07:05:28 GMT", "version": "v3" } ]
2022-08-15
[ [ "Takeshita", "Masashi", "" ], [ "Rzepka", "Rafal", "" ], [ "Araki", "Kenji", "" ] ]
Various existing studies have analyzed what social biases are inherited by NLP models. These biases may directly or indirectly harm people, therefore previous studies have focused only on human attributes. However, until recently no research on social biases in NLP regarding nonhumans existed. In this paper, we analyze...
2308.05725
Tu Anh Nguyen
Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarani, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi, Emmanuel Dupoux
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
null
null
null
null
cs.CL cs.LG cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fashion and can therefore capture expressive aspects of speech that are hard to transcribe (prosody, voice styles, non-verbal vocalization). T...
[ { "created": "Thu, 10 Aug 2023 17:41:19 GMT", "version": "v1" } ]
2023-08-11
[ [ "Nguyen", "Tu Anh", "" ], [ "Hsu", "Wei-Ning", "" ], [ "D'Avirro", "Antony", "" ], [ "Shi", "Bowen", "" ], [ "Gat", "Itai", "" ], [ "Fazel-Zarani", "Maryam", "" ], [ "Remez", "Tal", "" ], [ "Copet",...
Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fashion and can therefore capture expressive aspects of speech that are hard to transcribe (prosody, voice styles, non-verbal vocalization). The...
1608.06347
Shikai Jin
Shikai Jin, Yuxuan Cui, Chunli Yu
A New Parallelization Method for K-means
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
K-means is a popular clustering method used in data mining area. To work with large datasets, researchers propose PKMeans, which is a parallel k-means on MapReduce. However, the existing k-means parallelization methods including PKMeans have many limitations. PKMeans can't finish all its iterations in one MapReduce j...
[ { "created": "Tue, 23 Aug 2016 00:35:10 GMT", "version": "v1" }, { "created": "Fri, 26 Aug 2016 21:11:34 GMT", "version": "v2" } ]
2016-08-30
[ [ "Jin", "Shikai", "" ], [ "Cui", "Yuxuan", "" ], [ "Yu", "Chunli", "" ] ]
K-means is a popular clustering method used in data mining area. To work with large datasets, researchers propose PKMeans, which is a parallel k-means on MapReduce. However, the existing k-means parallelization methods including PKMeans have many limitations. PKMeans can't finish all its iterations in one MapReduce job...
2401.06821
Audrey Galametz
M\'elanie Ducoffe, Guillaume Pov\'eda, Audrey Galametz, Ryma Boumazouza, Marion-C\'ecile Martin, Julien Baris, Derk Daverschot and Eugene O'Higgins
Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance
Peer-reviewed and accepted at the 29th International Conference on Formal Methods for Industrial Critical Systems (FMICS 2024) - 15 pages
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Surrogate Neural Networks are nowadays routinely used in industry as substitutes for computationally demanding engineering simulations (e.g., in structural analysis). They allow to generate faster predictions and thus analyses in industrial applications e.g., during a product design, testing or monitoring phases. Due...
[ { "created": "Thu, 11 Jan 2024 21:04:28 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 08:46:22 GMT", "version": "v2" }, { "created": "Mon, 22 Jul 2024 13:19:50 GMT", "version": "v3" }, { "created": "Wed, 24 Jul 2024 08:12:11 GMT", "version": "v4" } ]
2024-07-25
[ [ "Ducoffe", "Mélanie", "" ], [ "Povéda", "Guillaume", "" ], [ "Galametz", "Audrey", "" ], [ "Boumazouza", "Ryma", "" ], [ "Martin", "Marion-Cécile", "" ], [ "Baris", "Julien", "" ], [ "Daverschot", "Derk", "...
Surrogate Neural Networks are nowadays routinely used in industry as substitutes for computationally demanding engineering simulations (e.g., in structural analysis). They allow to generate faster predictions and thus analyses in industrial applications e.g., during a product design, testing or monitoring phases. Due t...
2008.09743
Guanghao Yin
Guanghao Yin, Shouqian Sun, Dian Yu, Dejian Li and Kejun Zhang
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
ACM Transactions on Multimedia Computing, Communications, and Applications (Acceptance 07-Oct-2021)
null
10.1145/3490686
null
cs.SD cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Considerable attention has been paid for physiological signal-based emotion recognition in field of affective computing. For the reliability and user friendly acquisition, Electrodermal Activity (EDA) has great advantage in practical applications. However, the EDA-based emotion recognition with hundreds of subjects s...
[ { "created": "Sat, 22 Aug 2020 03:13:20 GMT", "version": "v1" }, { "created": "Thu, 2 Dec 2021 03:04:51 GMT", "version": "v2" } ]
2022-05-16
[ [ "Yin", "Guanghao", "" ], [ "Sun", "Shouqian", "" ], [ "Yu", "Dian", "" ], [ "Li", "Dejian", "" ], [ "Zhang", "Kejun", "" ] ]
Considerable attention has been paid for physiological signal-based emotion recognition in field of affective computing. For the reliability and user friendly acquisition, Electrodermal Activity (EDA) has great advantage in practical applications. However, the EDA-based emotion recognition with hundreds of subjects sti...
1303.5903
Kaushik Sarkar
Kaushik Sarkar and Hari Sundaram
How Do We Find Early Adopters Who Will Guide a Resource Constrained Network Towards a Desired Distribution of Behaviors?
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We identify influential early adopters that achieve a target behavior distribution for a resource constrained social network with multiple costly behaviors. This problem is important for applications ranging from collective behavior change to corporate viral marketing campaigns. In this paper, we propose a model of d...
[ { "created": "Sun, 24 Mar 2013 01:43:57 GMT", "version": "v1" } ]
2013-03-26
[ [ "Sarkar", "Kaushik", "" ], [ "Sundaram", "Hari", "" ] ]
We identify influential early adopters that achieve a target behavior distribution for a resource constrained social network with multiple costly behaviors. This problem is important for applications ranging from collective behavior change to corporate viral marketing campaigns. In this paper, we propose a model of dif...
2311.00152
Jacob Yim
Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi
Developing a Tool to Automate Extensions to Support a Flexible Extension Policy
2 pages
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this work, we present the development of an automated extension tool to assist educators and increase the success and well-being of students by implementing flexible extension policies. Flexible extension policies materialize in many ways, yet there are similarities in students' interactions with them; students te...
[ { "created": "Tue, 31 Oct 2023 20:55:08 GMT", "version": "v1" } ]
2023-11-02
[ [ "Schwartz", "Jordan", "" ], [ "Bohannan", "Madison", "" ], [ "Yim", "Jacob", "" ], [ "Tang", "Yuerou", "" ], [ "Benedicto", "Dana", "" ], [ "Liu", "Charisse", "" ], [ "Fox", "Armando", "" ], [ "Yan"...
In this work, we present the development of an automated extension tool to assist educators and increase the success and well-being of students by implementing flexible extension policies. Flexible extension policies materialize in many ways, yet there are similarities in students' interactions with them; students tend...
1303.2104
Xiao-Lei Zhang
Xiao-Lei Zhang, Ji Wu
Transfer Learning for Voice Activity Detection: A Denoising Deep Neural Network Perspective
This paper has been submitted to the conference "INTERSPEECH2013" in March 4, 2013 for review
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mismatching problem between the source and target noisy corpora severely hinder the practical use of the machine-learning-based voice activity detection (VAD). In this paper, we try to address this problem in the transfer learning prospective. Transfer learning tries to find a common learning machine or a common feat...
[ { "created": "Fri, 8 Mar 2013 20:46:27 GMT", "version": "v1" } ]
2013-03-11
[ [ "Zhang", "Xiao-Lei", "" ], [ "Wu", "Ji", "" ] ]
Mismatching problem between the source and target noisy corpora severely hinder the practical use of the machine-learning-based voice activity detection (VAD). In this paper, we try to address this problem in the transfer learning prospective. Transfer learning tries to find a common learning machine or a common featur...
2404.11869
Xiaorui Qi
Xiaorui Qi, Qijie Bai, Yanlong Wen, Haiwei Zhang, Xiaojie Yuan
Node-like as a Whole: Structure-aware Searching and Coarsening for Graph Classification
null
null
null
null
cs.LG cs.SI
http://creativecommons.org/licenses/by/4.0/
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing node representations, which focuses on node-central perspectives and lacks explicit representations of edges and structures. One natural que...
[ { "created": "Thu, 18 Apr 2024 03:03:37 GMT", "version": "v1" }, { "created": "Mon, 24 Jun 2024 08:45:52 GMT", "version": "v2" }, { "created": "Thu, 25 Jul 2024 07:29:02 GMT", "version": "v3" } ]
2024-07-26
[ [ "Qi", "Xiaorui", "" ], [ "Bai", "Qijie", "" ], [ "Wen", "Yanlong", "" ], [ "Zhang", "Haiwei", "" ], [ "Yuan", "Xiaojie", "" ] ]
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing node representations, which focuses on node-central perspectives and lacks explicit representations of edges and structures. One natural quest...
1603.07421
Ye Yuan
Ye Yuan, Mu Li, Jun Liu, Claire J. Tomlin
On the Powerball Method for Optimization
null
null
10.1109/LCSYS.2019.2913770
null
cs.SY cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new method to accelerate the convergence of optimization algorithms. This method simply adds a power coefficient $\gamma\in[0,1)$ to the gradient during optimization. We call this the Powerball method and analyze the convergence rate for the Powerball method for strongly convex functions. While theoretic...
[ { "created": "Thu, 24 Mar 2016 03:13:40 GMT", "version": "v1" }, { "created": "Mon, 6 Jun 2016 16:15:35 GMT", "version": "v2" }, { "created": "Tue, 18 Oct 2016 12:57:04 GMT", "version": "v3" }, { "created": "Fri, 1 Sep 2017 08:23:07 GMT", "version": "v4" } ]
2019-09-24
[ [ "Yuan", "Ye", "" ], [ "Li", "Mu", "" ], [ "Liu", "Jun", "" ], [ "Tomlin", "Claire J.", "" ] ]
We propose a new method to accelerate the convergence of optimization algorithms. This method simply adds a power coefficient $\gamma\in[0,1)$ to the gradient during optimization. We call this the Powerball method and analyze the convergence rate for the Powerball method for strongly convex functions. While theoretical...
2306.15111
Chuanyang Jin
Chuanyang Jin
Self-Supervised Image Captioning with CLIP
NeurIPS 2023 Self-Supervised Learning Workshop
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Image captioning, a fundamental task in vision-language understanding, seeks to generate accurate natural language descriptions for provided images. Current image captioning approaches heavily rely on high-quality image-caption pairs, which can be hard to obtain for many domains. To address this, we introduce a self-...
[ { "created": "Mon, 26 Jun 2023 23:29:16 GMT", "version": "v1" }, { "created": "Thu, 2 Nov 2023 17:57:54 GMT", "version": "v2" } ]
2023-11-03
[ [ "Jin", "Chuanyang", "" ] ]
Image captioning, a fundamental task in vision-language understanding, seeks to generate accurate natural language descriptions for provided images. Current image captioning approaches heavily rely on high-quality image-caption pairs, which can be hard to obtain for many domains. To address this, we introduce a self-su...
2207.11926
Wanming Hao
Wencai Yan, Wanming Hao, Chongwen Huang, Gangcan Sun, Osamu Muta, Haris Gacanin, Chau Yuen
Beamforming Analysis and Design for Wideband THz Reconfigurable Intelligent Surface Communications
null
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
Reconfigurable intelligent surface (RIS)-aided terahertz (THz) communications have been regarded as a promising candidate for future 6G networks because of its ultra-wide bandwidth and ultra-low power consumption. However, there exists the beam split problem, especially when the base station (BS) or RIS owns the larg...
[ { "created": "Mon, 25 Jul 2022 06:41:05 GMT", "version": "v1" }, { "created": "Sat, 30 Jul 2022 08:04:13 GMT", "version": "v2" }, { "created": "Fri, 23 Jun 2023 12:02:30 GMT", "version": "v3" } ]
2023-06-26
[ [ "Yan", "Wencai", "" ], [ "Hao", "Wanming", "" ], [ "Huang", "Chongwen", "" ], [ "Sun", "Gangcan", "" ], [ "Muta", "Osamu", "" ], [ "Gacanin", "Haris", "" ], [ "Yuen", "Chau", "" ] ]
Reconfigurable intelligent surface (RIS)-aided terahertz (THz) communications have been regarded as a promising candidate for future 6G networks because of its ultra-wide bandwidth and ultra-low power consumption. However, there exists the beam split problem, especially when the base station (BS) or RIS owns the large-...
2009.01659
Dethie Dione
Bakary Kone, Salimata Gueye Diagne, Dethie Dione, Coumba Diallo
Analysis of an M/G/1 system for the optimization of the RTG performances in the delivery of containers in Abidjan Terminal
15 pages, 3 figures
IJAAMM (2016)
null
17BK
cs.PF math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In front of the major challenges to increase its productivity while satisfying its customer, it is today important to establish in advance the operational performances of the RTG Abidjan Terminal. In this article, by using an M/G/1 retrial queue system, we obtained the average number of parked delivery trucks and as ...
[ { "created": "Thu, 27 Aug 2020 22:09:18 GMT", "version": "v1" } ]
2020-09-04
[ [ "Kone", "Bakary", "" ], [ "Diagne", "Salimata Gueye", "" ], [ "Dione", "Dethie", "" ], [ "Diallo", "Coumba", "" ] ]
In front of the major challenges to increase its productivity while satisfying its customer, it is today important to establish in advance the operational performances of the RTG Abidjan Terminal. In this article, by using an M/G/1 retrial queue system, we obtained the average number of parked delivery trucks and as we...
2006.08159
Yang Wang
Yang Wang
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
Appearing at ACM TOMM, 26 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects. Often, different modalities are complementary to each other. Such fact motivated a lot of research attention on fusing the multi-modal fe...
[ { "created": "Mon, 15 Jun 2020 06:42:04 GMT", "version": "v1" } ]
2020-06-16
[ [ "Wang", "Yang", "" ] ]
With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects. Often, different modalities are complementary to each other. Such fact motivated a lot of research attention on fusing the multi-modal feat...
1909.08386
Cesar A. Gomez
Cesar A. Gomez, Xianbin Wang, and Abdallah Shami
Intelligent Active Queue Management Using Explicit Congestion Notification
To be presented at the IEEE Global Communications Conference -GLOBECOM- 2019
null
null
null
cs.NI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As more end devices are getting connected, the Internet will become more congested. Various congestion control techniques have been developed either on transport or network layers. Active Queue Management (AQM) is a paradigm that aims to mitigate the congestion on the network layer through active buffer control to av...
[ { "created": "Wed, 28 Aug 2019 00:16:48 GMT", "version": "v1" } ]
2019-09-19
[ [ "Gomez", "Cesar A.", "" ], [ "Wang", "Xianbin", "" ], [ "Shami", "Abdallah", "" ] ]
As more end devices are getting connected, the Internet will become more congested. Various congestion control techniques have been developed either on transport or network layers. Active Queue Management (AQM) is a paradigm that aims to mitigate the congestion on the network layer through active buffer control to avoi...
1711.11183
Yanbing Mao
Yanbing Mao, Emrah Akyol, and Ziang Zhang
Strategic Topology Switching for Security-Part I: Consensus & Switching Times
working paper, 12 pages
null
null
null
cs.SY cs.MA math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this two-part paper, we consider strategic topology switching for the second-order multi-agent systems under a special class of stealthy attacks, namely the "zero-dynamics" attack (ZDA). The main mathematical tool proposed here is to strategically switch the network topology to detect a possible ZDA. However, it i...
[ { "created": "Thu, 30 Nov 2017 01:49:46 GMT", "version": "v1" }, { "created": "Fri, 6 Apr 2018 16:04:48 GMT", "version": "v2" }, { "created": "Mon, 25 Jun 2018 22:56:18 GMT", "version": "v3" }, { "created": "Mon, 4 Mar 2019 16:39:03 GMT", "version": "v4" } ]
2019-03-05
[ [ "Mao", "Yanbing", "" ], [ "Akyol", "Emrah", "" ], [ "Zhang", "Ziang", "" ] ]
In this two-part paper, we consider strategic topology switching for the second-order multi-agent systems under a special class of stealthy attacks, namely the "zero-dynamics" attack (ZDA). The main mathematical tool proposed here is to strategically switch the network topology to detect a possible ZDA. However, it is ...
2405.07500
Yuzhang Xie
Yuzhang Xie, Jiaying Lu, Joyce Ho, Fadi Nahab, Xiao Hu, Carl Yang
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
null
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (Short-Paper Track), 2024
10.1145/3626772.3657904
null
cs.IR cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linking (aligning) biomedical concepts across diverse data sources enables various integrative analyses, but it is challenging due to the discrepancies in concept naming conventions. Various strategies have been developed to overcome this challenge, such as those based on string-matching rules, manually crafted thesa...
[ { "created": "Mon, 13 May 2024 06:36:30 GMT", "version": "v1" } ]
2024-05-14
[ [ "Xie", "Yuzhang", "" ], [ "Lu", "Jiaying", "" ], [ "Ho", "Joyce", "" ], [ "Nahab", "Fadi", "" ], [ "Hu", "Xiao", "" ], [ "Yang", "Carl", "" ] ]
Linking (aligning) biomedical concepts across diverse data sources enables various integrative analyses, but it is challenging due to the discrepancies in concept naming conventions. Various strategies have been developed to overcome this challenge, such as those based on string-matching rules, manually crafted thesaur...
2007.11821
Elad Yom-Tov
Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox, Michael Edelstein
Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries
null
null
null
null
cs.IR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
COVID19 was first reported in England at the end of January 2020, and by mid-June over 150,000 cases were reported. We assume that, similarly to influenza-like illnesses, people who suffer from COVID19 may query for their symptoms prior to accessing the medical system (or in lieu of it). Therefore, we analyzed search...
[ { "created": "Thu, 23 Jul 2020 06:47:17 GMT", "version": "v1" } ]
2020-07-24
[ [ "Yom-Tov", "Elad", "" ], [ "Lampos", "Vasileios", "" ], [ "Cox", "Ingemar J.", "" ], [ "Edelstein", "Michael", "" ] ]
COVID19 was first reported in England at the end of January 2020, and by mid-June over 150,000 cases were reported. We assume that, similarly to influenza-like illnesses, people who suffer from COVID19 may query for their symptoms prior to accessing the medical system (or in lieu of it). Therefore, we analyzed searches...
1510.05477
Mehmet Basbug
Mehmet Emin Basbug, Koray Ozcan and Senem Velipasalar
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
As part of daily monitoring of human activities, wearable sensors and devices are becoming increasingly popular sources of data. With the advent of smartphones equipped with acceloremeter, gyroscope and camera; it is now possible to develop activity classification platforms everyone can use conveniently. In this pape...
[ { "created": "Mon, 19 Oct 2015 13:58:37 GMT", "version": "v1" } ]
2015-10-20
[ [ "Basbug", "Mehmet Emin", "" ], [ "Ozcan", "Koray", "" ], [ "Velipasalar", "Senem", "" ] ]
As part of daily monitoring of human activities, wearable sensors and devices are becoming increasingly popular sources of data. With the advent of smartphones equipped with acceloremeter, gyroscope and camera; it is now possible to develop activity classification platforms everyone can use conveniently. In this paper,...
1411.7973
Marcos R Vieira
Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny
Bus Travel Time Predictions Using Additive Models
11 pages, this is the technical report supporting the IEEE 2014 International Conference on Data Mining (ICDM) submission with the same title
null
10.1109/ICDM.2014.107
null
cs.LG stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many factors can affect the predictability of public bus services such as traffic, weather and local events. Other aspects, such as day of week or hour of day, may influence bus travel times as well, either directly or in conjunction with other variables. However, the exact nature of such relationships between travel...
[ { "created": "Fri, 28 Nov 2014 18:45:31 GMT", "version": "v1" } ]
2016-11-15
[ [ "Kormaksson", "Matthias", "" ], [ "Barbosa", "Luciano", "" ], [ "Vieira", "Marcos R.", "" ], [ "Zadrozny", "Bianca", "" ] ]
Many factors can affect the predictability of public bus services such as traffic, weather and local events. Other aspects, such as day of week or hour of day, may influence bus travel times as well, either directly or in conjunction with other variables. However, the exact nature of such relationships between travel t...
2312.08878
Yuntian Chen
Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
Domain Prompt Learning with Quaternion Networks
null
null
null
null
cs.CV cs.LG stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prompt learning has emerged as an effective and data-efficient technique in large Vision-Language Models (VLMs). However, when adapting VLMs to specialized domains such as remote sensing and medical imaging, domain prompt learning remains underexplored. While large-scale domain-specific foundation models can help tac...
[ { "created": "Tue, 12 Dec 2023 08:49:39 GMT", "version": "v1" } ]
2023-12-15
[ [ "Cao", "Qinglong", "" ], [ "Xu", "Zhengqin", "" ], [ "Chen", "Yuntian", "" ], [ "Ma", "Chao", "" ], [ "Yang", "Xiaokang", "" ] ]
Prompt learning has emerged as an effective and data-efficient technique in large Vision-Language Models (VLMs). However, when adapting VLMs to specialized domains such as remote sensing and medical imaging, domain prompt learning remains underexplored. While large-scale domain-specific foundation models can help tackl...
1810.01520
Hamed Zamani
Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
null
null
null
null
cs.IR cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ACM Recommender Systems Challenge 2018 focused on the task of automatic music playlist continuation, which is a form of the more general task of sequential recommendation. Given a playlist of arbitrary length with some additional meta-data, the task was to recommend up to 500 tracks that fit the target characteri...
[ { "created": "Tue, 2 Oct 2018 21:19:19 GMT", "version": "v1" }, { "created": "Sat, 31 Aug 2019 22:13:33 GMT", "version": "v2" } ]
2019-09-04
[ [ "Zamani", "Hamed", "" ], [ "Schedl", "Markus", "" ], [ "Lamere", "Paul", "" ], [ "Chen", "Ching-Wei", "" ] ]
The ACM Recommender Systems Challenge 2018 focused on the task of automatic music playlist continuation, which is a form of the more general task of sequential recommendation. Given a playlist of arbitrary length with some additional meta-data, the task was to recommend up to 500 tracks that fit the target characterist...
2201.12790
Bin Sheng
Bin Sheng, Gregory Gutin
Solving Routing Problems via Important Cuts
There is an error in the proof of Lemma 4
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
We introduce a novel approach of using important cuts which allowed us to design significantly faster fixed-parameter tractable (FPT) algorithms for the following routing problems: the Mixed Chinese Postman Problem parameterized by the number of directed edges (Gutin et al., JCSS 2017), the Minimum Shared Edges probl...
[ { "created": "Sun, 30 Jan 2022 11:17:11 GMT", "version": "v1" }, { "created": "Wed, 8 Jun 2022 10:02:51 GMT", "version": "v2" } ]
2022-06-09
[ [ "Sheng", "Bin", "" ], [ "Gutin", "Gregory", "" ] ]
We introduce a novel approach of using important cuts which allowed us to design significantly faster fixed-parameter tractable (FPT) algorithms for the following routing problems: the Mixed Chinese Postman Problem parameterized by the number of directed edges (Gutin et al., JCSS 2017), the Minimum Shared Edges problem...
2101.11956
Pere-Llu\'is Huguet Cabot
Pere-Llu\'is Huguet-Cabot and David Abadi and Agneta Fischer and Ekaterina Shutova
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
Camera-ready version in EACL 2021
null
10.18653/v1/2021.eacl-main.165
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computational modelling of political discourse tasks has become an increasingly important area of research in natural language processing. Populist rhetoric has risen across the political sphere in recent years; however, computational approaches to it have been scarce due to its complex nature. In this paper, we pres...
[ { "created": "Thu, 28 Jan 2021 12:18:19 GMT", "version": "v1" }, { "created": "Wed, 10 Feb 2021 21:53:40 GMT", "version": "v2" }, { "created": "Sun, 14 Feb 2021 17:42:12 GMT", "version": "v3" } ]
2022-06-16
[ [ "Huguet-Cabot", "Pere-Lluís", "" ], [ "Abadi", "David", "" ], [ "Fischer", "Agneta", "" ], [ "Shutova", "Ekaterina", "" ] ]
Computational modelling of political discourse tasks has become an increasingly important area of research in natural language processing. Populist rhetoric has risen across the political sphere in recent years; however, computational approaches to it have been scarce due to its complex nature. In this paper, we presen...
2302.03201
Kaiwen Wang
Kaiwen Wang and Nathan Kallus and Wen Sun
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Accepted at ICML 2023
null
null
null
cs.LG math.OC math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study risk-sensitive Reinforcement Learning (RL), focusing on the objective of Conditional Value at Risk (CVaR) with risk tolerance $\tau$. Starting with multi-arm bandits (MABs), we show the minimax CVaR regret rate is $\Omega(\sqrt{\tau^{-1}AK})$, where $A$ is the number of actions and $K$ is the ...
[ { "created": "Tue, 7 Feb 2023 02:22:31 GMT", "version": "v1" }, { "created": "Wed, 24 May 2023 21:47:10 GMT", "version": "v2" } ]
2023-05-26
[ [ "Wang", "Kaiwen", "" ], [ "Kallus", "Nathan", "" ], [ "Sun", "Wen", "" ] ]
In this paper, we study risk-sensitive Reinforcement Learning (RL), focusing on the objective of Conditional Value at Risk (CVaR) with risk tolerance $\tau$. Starting with multi-arm bandits (MABs), we show the minimax CVaR regret rate is $\Omega(\sqrt{\tau^{-1}AK})$, where $A$ is the number of actions and $K$ is the nu...
2005.08076
Richard Jiang
Fraser Young, L Zhang, Richard Jiang, Han Liu and Conor Wall
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation
null
The 2020 International Conference on Machine Learning and Cybernetics
null
null
cs.HC cs.CV cs.CY
http://creativecommons.org/licenses/by/4.0/
With the recent booming of artificial intelligence (AI), particularly deep learning techniques, digital healthcare is one of the prevalent areas that could gain benefits from AI-enabled functionality. This research presents a novel AI-enabled Internet of Things (IoT) device operating from the ESP-8266 platform capabl...
[ { "created": "Sat, 16 May 2020 19:42:16 GMT", "version": "v1" } ]
2020-05-19
[ [ "Young", "Fraser", "" ], [ "Zhang", "L", "" ], [ "Jiang", "Richard", "" ], [ "Liu", "Han", "" ], [ "Wall", "Conor", "" ] ]
With the recent booming of artificial intelligence (AI), particularly deep learning techniques, digital healthcare is one of the prevalent areas that could gain benefits from AI-enabled functionality. This research presents a novel AI-enabled Internet of Things (IoT) device operating from the ESP-8266 platform capable ...
2009.01468
Nicholas Wilkins
Nicholas Wilkins, Beck Cordes Galbraith, Ifeoma Nwogu
Modeling Global Body Configurations in American Sign Language
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
American Sign Language (ASL) is the fourth most commonly used language in the United States and is the language most commonly used by Deaf people in the United States and the English-speaking regions of Canada. Unfortunately, until recently, ASL received little research. This is due, in part, to its delayed recogniti...
[ { "created": "Thu, 3 Sep 2020 06:20:10 GMT", "version": "v1" } ]
2020-09-04
[ [ "Wilkins", "Nicholas", "" ], [ "Galbraith", "Beck Cordes", "" ], [ "Nwogu", "Ifeoma", "" ] ]
American Sign Language (ASL) is the fourth most commonly used language in the United States and is the language most commonly used by Deaf people in the United States and the English-speaking regions of Canada. Unfortunately, until recently, ASL received little research. This is due, in part, to its delayed recognition...
1010.3988
Pei Wu
Pei Wu, Chi Ho Yeung, Weiping Liu, Cihang Jin, Yi-Cheng Zhang
Time-aware Collaborative Filtering with the Piecewise Decay Function
4 pages. 1 figure
null
null
null
cs.IR physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we determine the appropriate decay function for item-based collaborative filtering (CF). Instead of intuitive deduction, we introduce the Similarity-Signal-to-Noise-Ratio (SSNR) to quantify the impacts of rated items on current recommendations. By measuring the variation of SSNR over time, drift in use...
[ { "created": "Tue, 19 Oct 2010 17:32:26 GMT", "version": "v1" } ]
2010-10-20
[ [ "Wu", "Pei", "" ], [ "Yeung", "Chi Ho", "" ], [ "Liu", "Weiping", "" ], [ "Jin", "Cihang", "" ], [ "Zhang", "Yi-Cheng", "" ] ]
In this paper, we determine the appropriate decay function for item-based collaborative filtering (CF). Instead of intuitive deduction, we introduce the Similarity-Signal-to-Noise-Ratio (SSNR) to quantify the impacts of rated items on current recommendations. By measuring the variation of SSNR over time, drift in user ...
2104.06443
Julia Mendelsohn
Julia Mendelsohn, Ceren Budak, David Jurgens
Modeling Framing in Immigration Discourse on Social Media
Accepted at NAACL 2021 (camera-ready), Annotation codebook, data, models, and code available at https://github.com/juliamendelsohn/framing
null
10.18653/v1/2021.naacl-main.179
null
cs.CL cs.CY
http://creativecommons.org/licenses/by/4.0/
The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues. By creating a new dataset of immigration-related tweets labeled for multiple framing typo...
[ { "created": "Tue, 13 Apr 2021 18:35:44 GMT", "version": "v1" } ]
2021-09-09
[ [ "Mendelsohn", "Julia", "" ], [ "Budak", "Ceren", "" ], [ "Jurgens", "David", "" ] ]
The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues. By creating a new dataset of immigration-related tweets labeled for multiple framing typolo...
2204.12084
Khay Boon Hong
Khay Boon Hong
U-Net with ResNet Backbone for Garment Landmarking Purpose
A draft for purpose of archive, not intended for official academic uses
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
We build a heatmap-based landmark detection model to locate important landmarks on 2D RGB garment images. The main goal is to detect edges, corners and suitable interior region of the garments. This let us re-create 3D garments in modern 3D editing software by incorporate landmark detection model and texture unwrappi...
[ { "created": "Tue, 26 Apr 2022 05:47:27 GMT", "version": "v1" } ]
2022-04-27
[ [ "Hong", "Khay Boon", "" ] ]
We build a heatmap-based landmark detection model to locate important landmarks on 2D RGB garment images. The main goal is to detect edges, corners and suitable interior region of the garments. This let us re-create 3D garments in modern 3D editing software by incorporate landmark detection model and texture unwrapping...
2404.05231
Xiaofan Li
Xiaofan Li, Zhizhong Zhang, Xin Tan, Chengwei Chen, Yanyun Qu, Yuan Xie, Lizhuang Ma
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
Accepted by CVPR2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The vision-language model has brought great improvement to few-shot industrial anomaly detection, which usually needs to design of hundreds of prompts through prompt engineering. For automated scenarios, we first use conventional prompt learning with many-class paradigm as the baseline to automatically learn prompts ...
[ { "created": "Mon, 8 Apr 2024 06:53:30 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2024 08:02:46 GMT", "version": "v2" } ]
2024-07-17
[ [ "Li", "Xiaofan", "" ], [ "Zhang", "Zhizhong", "" ], [ "Tan", "Xin", "" ], [ "Chen", "Chengwei", "" ], [ "Qu", "Yanyun", "" ], [ "Xie", "Yuan", "" ], [ "Ma", "Lizhuang", "" ] ]
The vision-language model has brought great improvement to few-shot industrial anomaly detection, which usually needs to design of hundreds of prompts through prompt engineering. For automated scenarios, we first use conventional prompt learning with many-class paradigm as the baseline to automatically learn prompts bu...
2105.13697
Mingfu Xue
Mingfu Xue, Zhiyu Wu, Jian Wang, Yushu Zhang, Weiqiang Liu
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption
null
IEEE Transactions on Emerging Topics in Computing, 2022
10.1109/TETC.2022.3231012
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A well-trained DNN model can be regarded as an intellectual property (IP) of the model owner. To date, many DNN IP protection methods have been proposed, but most of them are watermarking based verification methods where model owners can only verify their ownership passively after the copyright of DNN models has been...
[ { "created": "Fri, 28 May 2021 09:42:35 GMT", "version": "v1" } ]
2023-05-26
[ [ "Xue", "Mingfu", "" ], [ "Wu", "Zhiyu", "" ], [ "Wang", "Jian", "" ], [ "Zhang", "Yushu", "" ], [ "Liu", "Weiqiang", "" ] ]
A well-trained DNN model can be regarded as an intellectual property (IP) of the model owner. To date, many DNN IP protection methods have been proposed, but most of them are watermarking based verification methods where model owners can only verify their ownership passively after the copyright of DNN models has been i...
2011.08122
Yong Deng
Yong Deng and Min Dong
Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform File Popularity
To appear in the Asilomar Conference on Signals, Systems, and Computers, 2020
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For caching with nonuniform file popularity, we aim to characterize the memory-rate tradeoff under uncoded cache placement. We consider the recently proposed Modified Coded Caching Scheme (MCCS) with the optimized cache placement based on the popularity-first approach to minimize the average delivery rate. We introdu...
[ { "created": "Mon, 16 Nov 2020 17:35:27 GMT", "version": "v1" }, { "created": "Sat, 16 Jan 2021 02:23:09 GMT", "version": "v2" } ]
2021-01-19
[ [ "Deng", "Yong", "" ], [ "Dong", "Min", "" ] ]
For caching with nonuniform file popularity, we aim to characterize the memory-rate tradeoff under uncoded cache placement. We consider the recently proposed Modified Coded Caching Scheme (MCCS) with the optimized cache placement based on the popularity-first approach to minimize the average delivery rate. We introduce...
1802.09012
Min Chen
Min Chen, Kelly Gaither, Nigel W. John, and Brian McCann
Cost-benefit Analysis of Visualization in Virtual Environments
Submitted to SciVis 2017 on 31 March 2017 and was not accepted. Authors' feedback about the SciVis 2017 reviews can be found in the cover letter accompanying the EuroVis submission. Revised with a major extension and submitted to EuroVis 2018 on 13 December 2017, but was not accepted
IEEE Transactions on Visualization and Computer Graphics, 25(1), 2019
10.1109/TVCG.2018.2865025
null
cs.HC cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operat...
[ { "created": "Sun, 25 Feb 2018 14:14:42 GMT", "version": "v1" }, { "created": "Wed, 28 Feb 2018 09:30:32 GMT", "version": "v2" } ]
2018-12-04
[ [ "Chen", "Min", "" ], [ "Gaither", "Kelly", "" ], [ "John", "Nigel W.", "" ], [ "McCann", "Brian", "" ] ]
Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operatio...
2304.14238
Michael Sejr Schlichtkrull
Michael Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos
The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Accepted to the Findings of EMNLP 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated fact-checking is often presented as an epistemic tool that fact-checkers, social media consumers, and other stakeholders can use to fight misinformation. Nevertheless, few papers thoroughly discuss how. We document this by analysing 100 highly-cited papers, and annotating epistemic elements related to inten...
[ { "created": "Thu, 27 Apr 2023 14:55:23 GMT", "version": "v1" }, { "created": "Wed, 8 Nov 2023 12:10:49 GMT", "version": "v2" } ]
2023-11-09
[ [ "Schlichtkrull", "Michael", "" ], [ "Ousidhoum", "Nedjma", "" ], [ "Vlachos", "Andreas", "" ] ]
Automated fact-checking is often presented as an epistemic tool that fact-checkers, social media consumers, and other stakeholders can use to fight misinformation. Nevertheless, few papers thoroughly discuss how. We document this by analysing 100 highly-cited papers, and annotating epistemic elements related to intende...
2306.14878
Yilun Xu
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola
Restart Sampling for Improving Generative Processes
Code is available at https://github.com/Newbeeer/diffusion_restart_sampling
null
null
null
cs.LG cs.CV stat.CO stat.ML
http://creativecommons.org/licenses/by/4.0/
Generative processes that involve solving differential equations, such as diffusion models, frequently necessitate balancing speed and quality. ODE-based samplers are fast but plateau in performance while SDE-based samplers deliver higher sample quality at the cost of increased sampling time. We attribute this differ...
[ { "created": "Mon, 26 Jun 2023 17:48:25 GMT", "version": "v1" }, { "created": "Wed, 1 Nov 2023 04:17:43 GMT", "version": "v2" } ]
2023-11-02
[ [ "Xu", "Yilun", "" ], [ "Deng", "Mingyang", "" ], [ "Cheng", "Xiang", "" ], [ "Tian", "Yonglong", "" ], [ "Liu", "Ziming", "" ], [ "Jaakkola", "Tommi", "" ] ]
Generative processes that involve solving differential equations, such as diffusion models, frequently necessitate balancing speed and quality. ODE-based samplers are fast but plateau in performance while SDE-based samplers deliver higher sample quality at the cost of increased sampling time. We attribute this differen...
1807.01866
Harold Soh
Harold Soh, Yaqi Xie, Min Chen, David Hsu
Multi-Task Trust Transfer for Human-Robot Interaction
IJRR and RSS conference
null
10.1177/0278364919866905
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Trust is essential in shaping human interactions with one another and with robots. This paper discusses how human trust in robot capabilities transfers across multiple tasks. We first present a human-subject study of two distinct task domains: a Fetch robot performing household tasks and a virtual reality simulation ...
[ { "created": "Thu, 5 Jul 2018 06:58:13 GMT", "version": "v1" }, { "created": "Thu, 22 Aug 2019 03:37:35 GMT", "version": "v2" }, { "created": "Thu, 26 Aug 2021 09:51:33 GMT", "version": "v3" } ]
2021-08-27
[ [ "Soh", "Harold", "" ], [ "Xie", "Yaqi", "" ], [ "Chen", "Min", "" ], [ "Hsu", "David", "" ] ]
Trust is essential in shaping human interactions with one another and with robots. This paper discusses how human trust in robot capabilities transfers across multiple tasks. We first present a human-subject study of two distinct task domains: a Fetch robot performing household tasks and a virtual reality simulation of...
1808.05832
Olivier Sigaud
Alo\"is Pourchot, Nicolas Perrin, Olivier Sigaud
Importance mixing: Improving sample reuse in evolutionary policy search methods
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neuroevolution, that is evolutionary policy search methods based on deep neural networks, have recently emerged as a competitor to deep reinforcement learning algorithms due to their better parallelization capabilities. However, these methods still suffer from a far worse sample efficiency. In this paper we inve...
[ { "created": "Fri, 17 Aug 2018 11:25:19 GMT", "version": "v1" } ]
2018-08-20
[ [ "Pourchot", "Aloïs", "" ], [ "Perrin", "Nicolas", "" ], [ "Sigaud", "Olivier", "" ] ]
Deep neuroevolution, that is evolutionary policy search methods based on deep neural networks, have recently emerged as a competitor to deep reinforcement learning algorithms due to their better parallelization capabilities. However, these methods still suffer from a far worse sample efficiency. In this paper we invest...
1512.07438
Steffen Wendzel
Steffen Wendzel, Wojciech Mazurczyk, Sebastian Zander
Unified Description for Network Information Hiding Methods
24 pages, 7 figures, 1 table; currently under review
Journal of Universal Computer Science (J.UCS), vol. 22, no. 11 (2016), 1456-1486
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Until now hiding methods in network steganography have been described in arbitrary ways, making them difficult to compare. For instance, some publications describe classical channel characteristics, such as robustness and bandwidth, while others describe the embedding of hidden information. We introduce the first uni...
[ { "created": "Wed, 23 Dec 2015 11:32:41 GMT", "version": "v1" }, { "created": "Mon, 9 Jan 2017 11:44:07 GMT", "version": "v2" } ]
2017-01-10
[ [ "Wendzel", "Steffen", "" ], [ "Mazurczyk", "Wojciech", "" ], [ "Zander", "Sebastian", "" ] ]
Until now hiding methods in network steganography have been described in arbitrary ways, making them difficult to compare. For instance, some publications describe classical channel characteristics, such as robustness and bandwidth, while others describe the embedding of hidden information. We introduce the first unifi...
2103.13864
Febin Sebastian Elayanithottathil
Febin Sebastian Elayanithottathil and Janis Keuper
A Retail Product Categorisation Dataset
null
null
null
null
cs.LG cs.IR
http://creativecommons.org/publicdomain/zero/1.0/
Most eCommerce applications, like web-shops have millions of products. In this context, the identification of similar products is a common sub-task, which can be utilized in the implementation of recommendation systems, product search engines and internal supply logistics. Providing this data set, our goal is to boos...
[ { "created": "Thu, 25 Mar 2021 14:23:48 GMT", "version": "v1" }, { "created": "Sat, 3 Apr 2021 09:31:56 GMT", "version": "v2" } ]
2021-04-06
[ [ "Elayanithottathil", "Febin Sebastian", "" ], [ "Keuper", "Janis", "" ] ]
Most eCommerce applications, like web-shops have millions of products. In this context, the identification of similar products is a common sub-task, which can be utilized in the implementation of recommendation systems, product search engines and internal supply logistics. Providing this data set, our goal is to boost ...
1812.07932
Alexander Kampmann
Alexander Kampmann, Andreas Zeller
Carving Parameterized Unit Tests
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a method to automatically extract ("carve") parameterized unit tests from system executions. The unit tests execute the same functions as the system tests they are carved from, but can do so much faster as they call functions directly; furthermore, being parameterized, they can execute the functions with a...
[ { "created": "Wed, 19 Dec 2018 13:21:53 GMT", "version": "v1" } ]
2018-12-20
[ [ "Kampmann", "Alexander", "" ], [ "Zeller", "Andreas", "" ] ]
We present a method to automatically extract ("carve") parameterized unit tests from system executions. The unit tests execute the same functions as the system tests they are carved from, but can do so much faster as they call functions directly; furthermore, being parameterized, they can execute the functions with a l...
1804.07068
Masashi Yoshikawa
Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji and Daisuke Bekki
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning
6 pages. short paper accepted to NAACL2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In formal logic-based approaches to Recognizing Textual Entailment (RTE), a Combinatory Categorial Grammar (CCG) parser is used to parse input premises and hypotheses to obtain their logical formulas. Here, it is important that the parser processes the sentences consistently; failing to recognize a similar syntactic ...
[ { "created": "Thu, 19 Apr 2018 10:17:47 GMT", "version": "v1" } ]
2018-04-20
[ [ "Yoshikawa", "Masashi", "" ], [ "Mineshima", "Koji", "" ], [ "Noji", "Hiroshi", "" ], [ "Bekki", "Daisuke", "" ] ]
In formal logic-based approaches to Recognizing Textual Entailment (RTE), a Combinatory Categorial Grammar (CCG) parser is used to parse input premises and hypotheses to obtain their logical formulas. Here, it is important that the parser processes the sentences consistently; failing to recognize a similar syntactic st...
2002.05410
Tchuitcheu Willy Carlos
Willy Carlos Tchuitcheu, Christophe Bobda, and Md Jubaer Hossain Pantho
Internet of Smart-Cameras for Traffic Lights Optimization in Smart Cities
12 pages
Internet of Things(2020)
10.1016/j.iot.2020.100207
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart and decentralized control systems have recently been proposed to handle the growing traffic congestion in urban cities. Proposed smart traffic light solutions based on Wireless Sensor Network and Vehicular Ad-hoc NETwork are either unreliable and inflexible or complex and costly. Furthermore, the handling of sp...
[ { "created": "Thu, 13 Feb 2020 09:51:34 GMT", "version": "v1" } ]
2020-05-14
[ [ "Tchuitcheu", "Willy Carlos", "" ], [ "Bobda", "Christophe", "" ], [ "Pantho", "Md Jubaer Hossain", "" ] ]
Smart and decentralized control systems have recently been proposed to handle the growing traffic congestion in urban cities. Proposed smart traffic light solutions based on Wireless Sensor Network and Vehicular Ad-hoc NETwork are either unreliable and inflexible or complex and costly. Furthermore, the handling of spec...
1304.5107
Pablo Dorta-Gonzalez
Pablo Dorta-Gonzalez and Maria Isabel Dorta-Gonzalez
Comparing journals from different fields of Science and Social Science through a JCR Subject Categories Normalized Impact Factor
28 pages, 4 tables and 5 figures. arXiv admin note: text overlap with arXiv:1007.4749 by other authors
Scientometrics 95(2), 645-672 (2013)
10.1007/s11192-012-0929-9
null
cs.DL physics.soc-ph stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The journal Impact Factor (IF) is not comparable among fields of Science and Social Science because of systematic differences in publication and citation behaviour across disciplines. In this work, a decomposing of the field aggregate impact factor into five normally distributed variables is presented. Considering th...
[ { "created": "Thu, 18 Apr 2013 12:36:49 GMT", "version": "v1" } ]
2013-04-19
[ [ "Dorta-Gonzalez", "Pablo", "" ], [ "Dorta-Gonzalez", "Maria Isabel", "" ] ]
The journal Impact Factor (IF) is not comparable among fields of Science and Social Science because of systematic differences in publication and citation behaviour across disciplines. In this work, a decomposing of the field aggregate impact factor into five normally distributed variables is presented. Considering thes...
1912.03458
Yinpeng Chen
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
Dynamic Convolution: Attention over Convolution Kernels
CVPR 2020 (Oral)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and the width (number of channels) of CNNs, resulting in limited representation capability. To address this issue, we present Dynamic Convolution,...
[ { "created": "Sat, 7 Dec 2019 07:51:35 GMT", "version": "v1" }, { "created": "Tue, 31 Mar 2020 21:56:49 GMT", "version": "v2" } ]
2020-04-02
[ [ "Chen", "Yinpeng", "" ], [ "Dai", "Xiyang", "" ], [ "Liu", "Mengchen", "" ], [ "Chen", "Dongdong", "" ], [ "Yuan", "Lu", "" ], [ "Liu", "Zicheng", "" ] ]
Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and the width (number of channels) of CNNs, resulting in limited representation capability. To address this issue, we present Dynamic Convolution, a...
2203.04751
Kshitij Tiwari
Kshitij Tiwari, Basak Sakcak, Prasanna Routray, Manivannan M., and Steven M. LaValle
Visibility-Inspired Models of Touch Sensors for Navigation
Accepted at IEEE IROS 2022
null
10.1109/IROS47612.2022.9981084
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper introduces mathematical models of \sensors\ for mobile robots based on visibility. Serving a purpose similar to the pinhole camera model for computer vision, the introduced models are expected to provide a useful, idealized characterization of task-relevant information that can be inferred from their outpu...
[ { "created": "Fri, 4 Mar 2022 08:23:01 GMT", "version": "v1" }, { "created": "Thu, 28 Jul 2022 07:42:32 GMT", "version": "v2" } ]
2023-01-24
[ [ "Tiwari", "Kshitij", "" ], [ "Sakcak", "Basak", "" ], [ "Routray", "Prasanna", "" ], [ "M.", "Manivannan", "" ], [ "LaValle", "Steven M.", "" ] ]
This paper introduces mathematical models of \sensors\ for mobile robots based on visibility. Serving a purpose similar to the pinhole camera model for computer vision, the introduced models are expected to provide a useful, idealized characterization of task-relevant information that can be inferred from their outputs...
2309.04082
Sungjun Cho
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
19 pages, 7 figures
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Real-world graphs naturally exhibit hierarchical or cyclical structures that are unfit for the typical Euclidean space. While there exist graph neural networks that leverage hyperbolic or spherical spaces to learn representations that embed such structures more accurately, these methods are confined under the message...
[ { "created": "Fri, 8 Sep 2023 02:44:37 GMT", "version": "v1" } ]
2023-09-11
[ [ "Cho", "Sungjun", "" ], [ "Cho", "Seunghyuk", "" ], [ "Park", "Sungwoo", "" ], [ "Lee", "Hankook", "" ], [ "Lee", "Honglak", "" ], [ "Lee", "Moontae", "" ] ]
Real-world graphs naturally exhibit hierarchical or cyclical structures that are unfit for the typical Euclidean space. While there exist graph neural networks that leverage hyperbolic or spherical spaces to learn representations that embed such structures more accurately, these methods are confined under the message-p...
1003.1795
Rdv Ijcsis
Vidhya. K. A, G. Aghila
A Survey of Na\"ive Bayes Machine Learning approach in Text Document Classification
Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 7 No. 2, February 2010, USA. ISSN 1947 5500, http://sites.google.com/site/ijcsis/
null
null
null
cs.LG cs.IR
http://creativecommons.org/licenses/by-nc-sa/3.0/
Text Document classification aims in associating one or more predefined categories based on the likelihood suggested by the training set of labeled documents. Many machine learning algorithms play a vital role in training the system with predefined categories among which Na\"ive Bayes has some intriguing facts that i...
[ { "created": "Tue, 9 Mar 2010 06:41:49 GMT", "version": "v1" } ]
2010-03-10
[ [ "A", "Vidhya. K.", "" ], [ "Aghila", "G.", "" ] ]
Text Document classification aims in associating one or more predefined categories based on the likelihood suggested by the training set of labeled documents. Many machine learning algorithms play a vital role in training the system with predefined categories among which Na\"ive Bayes has some intriguing facts that it ...
1304.3963
Sundeep Rangan
Mustafa Riza Akdeniz, Yuanpeng Liu, Sundeep Rangan and Elza Erkip
Millimeter Wave Picocellular System Evaluation for Urban Deployments
This paper is replaced by arXiv:1312.4921
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the severe spectrum shortage in conventional cellular bands, millimeter wave (mmW) frequencies between 30 and 300 GHz have been attracting growing attention as a possible candidate for next-generation micro- and picocellular wireless networks. The mmW bands offer orders of magnitude greater spectrum than current...
[ { "created": "Mon, 15 Apr 2013 01:15:48 GMT", "version": "v1" }, { "created": "Fri, 25 Apr 2014 20:50:47 GMT", "version": "v2" } ]
2014-04-29
[ [ "Akdeniz", "Mustafa Riza", "" ], [ "Liu", "Yuanpeng", "" ], [ "Rangan", "Sundeep", "" ], [ "Erkip", "Elza", "" ] ]
With the severe spectrum shortage in conventional cellular bands, millimeter wave (mmW) frequencies between 30 and 300 GHz have been attracting growing attention as a possible candidate for next-generation micro- and picocellular wireless networks. The mmW bands offer orders of magnitude greater spectrum than current c...
1402.0391
Hui Gao
Hui Gao, Tiejun Lv, Di Fang, Shaoshi Yang, Chau Yuen
Limited Feedback-Based Interference Alignment for Interfering Multi-Access Channels
4 pages, 4 figures, to appear in IEEE Communications Letters
IEEE Communications Letters, Vol. 18, No. 4, pp. 540 - 543, April 2014
10.1109/LCOMM.2014.021214.132762
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A limited feedback-based interference alignment (IA) scheme is proposed for the interfering multi-access channel (IMAC). By employing a novel performance-oriented quantization strategy, the proposed scheme is able to achieve the minimum overall residual inter-cell interference (ICI) with the optimized transceivers un...
[ { "created": "Mon, 3 Feb 2014 14:51:22 GMT", "version": "v1" }, { "created": "Tue, 4 Feb 2014 02:57:39 GMT", "version": "v2" } ]
2015-03-04
[ [ "Gao", "Hui", "" ], [ "Lv", "Tiejun", "" ], [ "Fang", "Di", "" ], [ "Yang", "Shaoshi", "" ], [ "Yuen", "Chau", "" ] ]
A limited feedback-based interference alignment (IA) scheme is proposed for the interfering multi-access channel (IMAC). By employing a novel performance-oriented quantization strategy, the proposed scheme is able to achieve the minimum overall residual inter-cell interference (ICI) with the optimized transceivers unde...
2401.12496
Kang-Won Lee
Kang-Won Lee, Yuzhe Qin, Xiaolong Wang and Soo-Chul Lim
DexTouch: Learning to Seek and Manipulate Objects with Tactile Dexterity
Project page: https://lee-kangwon.github.io/dextouch/
null
null
null
cs.RO cs.LG
http://creativecommons.org/licenses/by/4.0/
The sense of touch is an essential ability for skillfully performing a variety of tasks, providing the capacity to search and manipulate objects without relying on visual information. Extensive research has been conducted over time to apply these human tactile abilities to robots. In this paper, we introduce a multi-...
[ { "created": "Tue, 23 Jan 2024 05:37:32 GMT", "version": "v1" } ]
2024-01-24
[ [ "Lee", "Kang-Won", "" ], [ "Qin", "Yuzhe", "" ], [ "Wang", "Xiaolong", "" ], [ "Lim", "Soo-Chul", "" ] ]
The sense of touch is an essential ability for skillfully performing a variety of tasks, providing the capacity to search and manipulate objects without relying on visual information. Extensive research has been conducted over time to apply these human tactile abilities to robots. In this paper, we introduce a multi-fi...
1305.1060
Gian Luca Pozzato
Laura Giordano and Valentina Gliozzi and Nicola Olivetti and Gian Luca Pozzato
On Rational Closure in Description Logics of Typicality
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define the notion of rational closure in the context of Description Logics extended with a tipicality operator. We start from ALC+T, an extension of ALC with a typicality operator T: intuitively allowing to express concepts of the form T(C), meant to select the "most normal" instances of a concept C. The semantics...
[ { "created": "Sun, 5 May 2013 22:32:16 GMT", "version": "v1" } ]
2013-05-07
[ [ "Giordano", "Laura", "" ], [ "Gliozzi", "Valentina", "" ], [ "Olivetti", "Nicola", "" ], [ "Pozzato", "Gian Luca", "" ] ]
We define the notion of rational closure in the context of Description Logics extended with a tipicality operator. We start from ALC+T, an extension of ALC with a typicality operator T: intuitively allowing to express concepts of the form T(C), meant to select the "most normal" instances of a concept C. The semantics w...
cs/0502069
Sandor P. Fekete
Alexander Kroeller, Sandor P. Fekete, Carsten Buschmann, Stefan Fischer and Dennis Pfisterer
Koordinatenfreies Lokationsbewusstsein (Localization without Coordinates)
German, 15 pages, 6 figures, Latex, to appear in Information Technology
null
null
null
cs.DC
null
Localization is one of the fundamental issues in sensor networks. It is almost always assumed that it must be solved by assigning coordinates to the nodes. This article discusses positioning algorithms from a theoretical, practical and simulative point of view, and identifies difficulties and limitations. Ideas for m...
[ { "created": "Tue, 15 Feb 2005 16:35:13 GMT", "version": "v1" } ]
2009-09-29
[ [ "Kroeller", "Alexander", "" ], [ "Fekete", "Sandor P.", "" ], [ "Buschmann", "Carsten", "" ], [ "Fischer", "Stefan", "" ], [ "Pfisterer", "Dennis", "" ] ]
Localization is one of the fundamental issues in sensor networks. It is almost always assumed that it must be solved by assigning coordinates to the nodes. This article discusses positioning algorithms from a theoretical, practical and simulative point of view, and identifies difficulties and limitations. Ideas for mor...
1210.7506
Cong Ling
Kezhi Li, Lu Gan, Cong Ling
Convolutional Compressed Sensing Using Deterministic Sequences
A major overhaul of the withdrawn paper Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
null
10.1109/TSP.2012.2229994
null
cs.IT cs.MM math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a new class of circulant matrices built from deterministic sequences is proposed for convolution-based compressed sensing (CS). In contrast to random convolution, the coefficients of the underlying filter are given by the discrete Fourier transform of a deterministic sequence with good autocorrelation....
[ { "created": "Sun, 28 Oct 2012 20:34:06 GMT", "version": "v1" } ]
2015-06-11
[ [ "Li", "Kezhi", "" ], [ "Gan", "Lu", "" ], [ "Ling", "Cong", "" ] ]
In this paper, a new class of circulant matrices built from deterministic sequences is proposed for convolution-based compressed sensing (CS). In contrast to random convolution, the coefficients of the underlying filter are given by the discrete Fourier transform of a deterministic sequence with good autocorrelation. B...
2102.06429
Yiping Jin
Yiping Jin, Vishakha Kadam, Dittaya Wanvarie
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia
Accepted to TextGraphs-15 Workshop @ NAACL 2021
null
null
null
cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Contextual advertising provides advertisers with the opportunity to target the context which is most relevant to their ads. However, its power cannot be fully utilized unless we can target the page content using fine-grained categories, e.g., "coupe" vs. "hatchback" instead of "automotive" vs. "sport". The widely use...
[ { "created": "Fri, 12 Feb 2021 10:18:25 GMT", "version": "v1" }, { "created": "Tue, 20 Apr 2021 03:28:19 GMT", "version": "v2" } ]
2021-04-21
[ [ "Jin", "Yiping", "" ], [ "Kadam", "Vishakha", "" ], [ "Wanvarie", "Dittaya", "" ] ]
Contextual advertising provides advertisers with the opportunity to target the context which is most relevant to their ads. However, its power cannot be fully utilized unless we can target the page content using fine-grained categories, e.g., "coupe" vs. "hatchback" instead of "automotive" vs. "sport". The widely used ...
2306.09468
Xiaotian Han
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
ICLR2024
null
null
null
cs.LG cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces the Fair Fairness Benchmark (\textsf{FFB}), a benchmarking framework for in-processing group fairness methods. Ensuring fairness in machine learning is important for ethical compliance. However, there exist challenges in comparing and developing fairness methods due to inconsistencies in experim...
[ { "created": "Thu, 15 Jun 2023 19:51:28 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 03:10:10 GMT", "version": "v2" } ]
2024-06-12
[ [ "Han", "Xiaotian", "" ], [ "Chi", "Jianfeng", "" ], [ "Chen", "Yu", "" ], [ "Wang", "Qifan", "" ], [ "Zhao", "Han", "" ], [ "Zou", "Na", "" ], [ "Hu", "Xia", "" ] ]
This paper introduces the Fair Fairness Benchmark (\textsf{FFB}), a benchmarking framework for in-processing group fairness methods. Ensuring fairness in machine learning is important for ethical compliance. However, there exist challenges in comparing and developing fairness methods due to inconsistencies in experimen...
2210.00038
Zhiqi Bu
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Differentially Private Optimization on Large Model at Small Cost
null
null
null
null
cs.LG cs.CL cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differentially private (DP) optimization is the standard paradigm to learn large neural networks that are accurate and privacy-preserving. The computational cost for DP deep learning, however, is notoriously heavy due to the per-sample gradient clipping. Existing DP implementations are 2-1000X more costly in time and...
[ { "created": "Fri, 30 Sep 2022 18:38:53 GMT", "version": "v1" }, { "created": "Tue, 19 Sep 2023 02:14:06 GMT", "version": "v2" } ]
2023-09-20
[ [ "Bu", "Zhiqi", "" ], [ "Wang", "Yu-Xiang", "" ], [ "Zha", "Sheng", "" ], [ "Karypis", "George", "" ] ]
Differentially private (DP) optimization is the standard paradigm to learn large neural networks that are accurate and privacy-preserving. The computational cost for DP deep learning, however, is notoriously heavy due to the per-sample gradient clipping. Existing DP implementations are 2-1000X more costly in time and s...
2112.01989
Cedric M\"oller
Cedric M\"oller, Jens Lehmann, Ricardo Usbeck
Survey on English Entity Linking on Wikidata
Disclaimer: Cedric M\"oller, Jens Lehmann, Ricardo Usbeck, 2021. The definitive, peer reviewed and edited version of this article is published in the Semantic Web Journal, Special issue: Latest Advancements in Linguistic 3 Linked Data, 2021
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent increase in published papers. This survey focuses on four subjects: (1) Which Wikidata Entity Linking datasets exist, how widely used are they...
[ { "created": "Fri, 3 Dec 2021 16:02:42 GMT", "version": "v1" } ]
2021-12-06
[ [ "Möller", "Cedric", "" ], [ "Lehmann", "Jens", "" ], [ "Usbeck", "Ricardo", "" ] ]
Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent increase in published papers. This survey focuses on four subjects: (1) Which Wikidata Entity Linking datasets exist, how widely used are they a...
2102.12119
Yuhua Sun
Chun-e Zhao, Wenping Ma, Tongjiang Yan, Yuhua Sun
A new upper bound and optimal constructions of equi-difference conflict-avoiding codes on constant weight
10
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conflict-avoiding codes (CACs) have been used in multiple-access collision channel without feedback. The size of a CAC is the number of potential users that can be supported in the system. A code with maximum size is called optimal. The use of an optimal CAC enables the largest possible number of asynchronous users t...
[ { "created": "Wed, 24 Feb 2021 08:27:27 GMT", "version": "v1" } ]
2021-02-25
[ [ "Zhao", "Chun-e", "" ], [ "Ma", "Wenping", "" ], [ "Yan", "Tongjiang", "" ], [ "Sun", "Yuhua", "" ] ]
Conflict-avoiding codes (CACs) have been used in multiple-access collision channel without feedback. The size of a CAC is the number of potential users that can be supported in the system. A code with maximum size is called optimal. The use of an optimal CAC enables the largest possible number of asynchronous users to ...
1806.07084
Kong Hyeok
Hyeok Kong, Dokjun An, Jihyang Ri
Itemsets of interest for negative association rules
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
So far, most of association rule minings have considered about positive association rules based on frequent itemsets in databases[2,5-7], but they have not considered the problem of mining negative association rules correlated with frequent and infrequent itemsets. Negative association rule mining is much more diffic...
[ { "created": "Tue, 19 Jun 2018 07:50:48 GMT", "version": "v1" } ]
2018-06-20
[ [ "Kong", "Hyeok", "" ], [ "An", "Dokjun", "" ], [ "Ri", "Jihyang", "" ] ]
So far, most of association rule minings have considered about positive association rules based on frequent itemsets in databases[2,5-7], but they have not considered the problem of mining negative association rules correlated with frequent and infrequent itemsets. Negative association rule mining is much more difficul...
2203.01611
Mohsen Annabestani
Mohsen Annabestani, Majid Shabani, Samuel Videira Magalhaes, Alessio Mondini, and Barbara Mazzolai
A Plant-Inspired Multifunctional, Two Way, and Fiberless Soft Gripper with Sensorized Kinaesthesia
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work presents a new fiberless soft pneumatic actuator that can work multifunctional and bidirectional, and its embedded sensors give it a self-proprioception ability. This actuator works based on the idea of employing helical pressure channels. Applying the controlled input pressures into these two channels caus...
[ { "created": "Thu, 3 Mar 2022 10:10:24 GMT", "version": "v1" } ]
2022-03-04
[ [ "Annabestani", "Mohsen", "" ], [ "Shabani", "Majid", "" ], [ "Magalhaes", "Samuel Videira", "" ], [ "Mondini", "Alessio", "" ], [ "Mazzolai", "Barbara", "" ] ]
This work presents a new fiberless soft pneumatic actuator that can work multifunctional and bidirectional, and its embedded sensors give it a self-proprioception ability. This actuator works based on the idea of employing helical pressure channels. Applying the controlled input pressures into these two channels causes...
1704.09004
Adam Hey
Adam J. Hey and Michael A. Heroux
Kanban + X: Leveraging Kanban for Focused Improvements
7 pages, 6 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Agile Development is used for many problems, often with different priorities and challenges. However, generalized engineering methodologies often overlook the particularities of a project. To solve this problem, we have looked at ways engineers have modified development methodologies for a particular focus, and creat...
[ { "created": "Fri, 28 Apr 2017 16:47:57 GMT", "version": "v1" } ]
2017-05-01
[ [ "Hey", "Adam J.", "" ], [ "Heroux", "Michael A.", "" ] ]
Agile Development is used for many problems, often with different priorities and challenges. However, generalized engineering methodologies often overlook the particularities of a project. To solve this problem, we have looked at ways engineers have modified development methodologies for a particular focus, and created...
2403.14124
Yong He
Yong He, Hongshan Yu, Muhammad Ibrahim, Xiaoyan Liu, Tongjia Chen, Anwaar Ulhaq, Ajmal Mian
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling
14 pages, 8 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Point cloud processing methods leverage local and global point features %at the feature level to cater to downstream tasks, yet they often overlook the task-level context inherent in point clouds during the encoding stage. We argue that integrating task-level information into the encoding stage significantly enhances...
[ { "created": "Thu, 21 Mar 2024 04:34:24 GMT", "version": "v1" } ]
2024-03-22
[ [ "He", "Yong", "" ], [ "Yu", "Hongshan", "" ], [ "Ibrahim", "Muhammad", "" ], [ "Liu", "Xiaoyan", "" ], [ "Chen", "Tongjia", "" ], [ "Ulhaq", "Anwaar", "" ], [ "Mian", "Ajmal", "" ] ]
Point cloud processing methods leverage local and global point features %at the feature level to cater to downstream tasks, yet they often overlook the task-level context inherent in point clouds during the encoding stage. We argue that integrating task-level information into the encoding stage significantly enhances p...
2004.12362
Xiaojun Quan
Kai Wang and Weizhou Shen and Yunyi Yang and Xiaojun Quan and Rui Wang
Relational Graph Attention Network for Aspect-based Sentiment Analysis
To appear at ACL 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network models to implicitly connect aspects with opinion words. However, due to the complexity of language and the existence of multiple aspects in a ...
[ { "created": "Sun, 26 Apr 2020 12:21:04 GMT", "version": "v1" } ]
2020-04-28
[ [ "Wang", "Kai", "" ], [ "Shen", "Weizhou", "" ], [ "Yang", "Yunyi", "" ], [ "Quan", "Xiaojun", "" ], [ "Wang", "Rui", "" ] ]
Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network models to implicitly connect aspects with opinion words. However, due to the complexity of language and the existence of multiple aspects in a si...
2007.06767
Silvano Herculano da Luz Junior
Silvano Herculano da Luz J\'unior, Francisco \'Icaro Cipriano Silva, Gustavo Sousa Galisa Albuquerque, Francisco Petr\^onio Alencar de Medeiros and Heremita Brasileiro Lira
Enterprise Architecture in Healthcare Systems: A systematic literature review
22 pages
null
10.17632/44bygxg8w3.1
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enterprise architecture (EA) has been present in scientific literature since the 1980s and has branched out into several research fields. EA delivers value by presenting business and ICT leaders with recommendations for adjusting policies and projects to achieve business goals. Although there are many works on the EA...
[ { "created": "Tue, 14 Jul 2020 02:01:25 GMT", "version": "v1" }, { "created": "Fri, 17 Jul 2020 11:18:38 GMT", "version": "v2" } ]
2020-07-20
[ [ "Júnior", "Silvano Herculano da Luz", "" ], [ "Silva", "Francisco Ícaro Cipriano", "" ], [ "Albuquerque", "Gustavo Sousa Galisa", "" ], [ "de Medeiros", "Francisco Petrônio Alencar", "" ], [ "Lira", "Heremita Brasileiro", "" ] ]
Enterprise architecture (EA) has been present in scientific literature since the 1980s and has branched out into several research fields. EA delivers value by presenting business and ICT leaders with recommendations for adjusting policies and projects to achieve business goals. Although there are many works on the EA a...
1811.10971
James Thorne
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal
The Fact Extraction and VERification (FEVER) Shared Task
Revised from published version in the proceedings of the FEVER workshop at EMNLP 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the results of the first Fact Extraction and VERification (FEVER) Shared Task. The task challenged participants to classify whether human-written factoid claims could be Supported or Refuted using evidence retrieved from Wikipedia. We received entries from 23 competing teams, 19 of which scored higher than...
[ { "created": "Tue, 27 Nov 2018 13:32:26 GMT", "version": "v1" }, { "created": "Fri, 30 Nov 2018 09:26:31 GMT", "version": "v2" } ]
2018-12-03
[ [ "Thorne", "James", "" ], [ "Vlachos", "Andreas", "" ], [ "Cocarascu", "Oana", "" ], [ "Christodoulopoulos", "Christos", "" ], [ "Mittal", "Arpit", "" ] ]
We present the results of the first Fact Extraction and VERification (FEVER) Shared Task. The task challenged participants to classify whether human-written factoid claims could be Supported or Refuted using evidence retrieved from Wikipedia. We received entries from 23 competing teams, 19 of which scored higher than t...
2108.02425
Tao Kong
Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang and Lei Li
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
International Conference on Intelligent Robots and Systems (IROS) 2021
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
Grasping in cluttered scenes has always been a great challenge for robots, due to the requirement of the ability to well understand the scene and object information. Previous works usually assume that the geometry information of the objects is available, or utilize a step-wise, multi-stage strategy to predict the fea...
[ { "created": "Thu, 5 Aug 2021 07:46:48 GMT", "version": "v1" }, { "created": "Sun, 26 Sep 2021 08:26:38 GMT", "version": "v2" } ]
2021-09-28
[ [ "Li", "Yiming", "" ], [ "Kong", "Tao", "" ], [ "Chu", "Ruihang", "" ], [ "Li", "Yifeng", "" ], [ "Wang", "Peng", "" ], [ "Li", "Lei", "" ] ]
Grasping in cluttered scenes has always been a great challenge for robots, due to the requirement of the ability to well understand the scene and object information. Previous works usually assume that the geometry information of the objects is available, or utilize a step-wise, multi-stage strategy to predict the feasi...
0901.4934
Carl Hewitt
Carl Hewitt
A historical perspective on developing foundations iInfo(TM) information systems: iConsult(TM) and iEntertain(TM) apps using iDescribers(TM) information integration for iOrgs(TM) information systems
updated title and abstract
null
null
null
cs.DC cs.DB cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Technology now at hand can integrate all kinds of digital information for individuals, groups, and organizations so their information usefully links together. iInfo(TM) information integration works by making connections including examples like the following: - A statistical connection between "being in a traffic j...
[ { "created": "Fri, 30 Jan 2009 17:33:14 GMT", "version": "v1" }, { "created": "Tue, 17 Nov 2009 12:54:00 GMT", "version": "v10" }, { "created": "Tue, 24 Nov 2009 15:36:18 GMT", "version": "v11" }, { "created": "Tue, 29 Dec 2009 22:54:57 GMT", "version": "v12" }, { ...
2010-10-06
[ [ "Hewitt", "Carl", "" ] ]
Technology now at hand can integrate all kinds of digital information for individuals, groups, and organizations so their information usefully links together. iInfo(TM) information integration works by making connections including examples like the following: - A statistical connection between "being in a traffic jam" ...
2408.07644
Jianye Xu
Jianye Xu, Pan Hu, Bassam Alrifaee
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
8 pages, 5 figures, accepted for presentation at the IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024
null
10.13140/RG.2.2.24505.17769
null
cs.RO cs.LG cs.MA cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces an open-source, decentralized framework named SigmaRL, designed to enhance both sample efficiency and generalization of multi-agent Reinforcement Learning (RL) for motion planning of connected and automated vehicles. Most RL agents exhibit a limited capacity to generalize, often focusing narrowl...
[ { "created": "Wed, 14 Aug 2024 16:16:51 GMT", "version": "v1" } ]
2024-08-15
[ [ "Xu", "Jianye", "" ], [ "Hu", "Pan", "" ], [ "Alrifaee", "Bassam", "" ] ]
This paper introduces an open-source, decentralized framework named SigmaRL, designed to enhance both sample efficiency and generalization of multi-agent Reinforcement Learning (RL) for motion planning of connected and automated vehicles. Most RL agents exhibit a limited capacity to generalize, often focusing narrowly ...
2402.05749
Yunhao Tang
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, R\'emi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo \'Avila Pires, Bilal Piot
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Accepted at ICML 2023 main conference
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Offline preference optimization allows fine-tuning large models directly from offline data, and has proved effective in recent alignment practices. We propose generalized preference optimization (GPO), a family of offline losses parameterized by a general class of convex functions. GPO enables a unified view over pre...
[ { "created": "Thu, 8 Feb 2024 15:33:09 GMT", "version": "v1" }, { "created": "Tue, 28 May 2024 23:25:15 GMT", "version": "v2" } ]
2024-05-30
[ [ "Tang", "Yunhao", "" ], [ "Guo", "Zhaohan Daniel", "" ], [ "Zheng", "Zeyu", "" ], [ "Calandriello", "Daniele", "" ], [ "Munos", "Rémi", "" ], [ "Rowland", "Mark", "" ], [ "Richemond", "Pierre Harvey", "" ...
Offline preference optimization allows fine-tuning large models directly from offline data, and has proved effective in recent alignment practices. We propose generalized preference optimization (GPO), a family of offline losses parameterized by a general class of convex functions. GPO enables a unified view over prefe...
1604.08123
Adrian Garcia-Rodriguez
Adrian Garcia-Rodriguez, Vijay Venkateswaran, Pawel Rulikowski and Christos Masouros
Hybrid Analog-Digital Precoding Revisited under Realistic RF Modeling
12 pages, 5 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations. For this, we decompose the analog beamforming networks (ABFN) as a bank of commonly used RF components and formulate...
[ { "created": "Wed, 27 Apr 2016 16:09:08 GMT", "version": "v1" } ]
2016-04-28
[ [ "Garcia-Rodriguez", "Adrian", "" ], [ "Venkateswaran", "Vijay", "" ], [ "Rulikowski", "Pawel", "" ], [ "Masouros", "Christos", "" ] ]
In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations. For this, we decompose the analog beamforming networks (ABFN) as a bank of commonly used RF components and formulate r...
2312.08985
Han Liang
Han Liang, Jiacheng Bao, Ruichi Zhang, Sihan Ren, Yuecheng Xu, Sibei Yang, Xin Chen, Jingyi Yu, Lan Xu
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
accepted by CVPR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
We have recently seen tremendous progress in realistic text-to-motion generation. Yet, the existing methods often fail or produce implausible motions with unseen text inputs, which limits the applications. In this paper, we present OMG, a novel framework, which enables compelling motion generation from zero-shot open...
[ { "created": "Thu, 14 Dec 2023 14:31:40 GMT", "version": "v1" }, { "created": "Mon, 18 Dec 2023 05:05:32 GMT", "version": "v2" }, { "created": "Tue, 19 Mar 2024 06:50:17 GMT", "version": "v3" } ]
2024-03-20
[ [ "Liang", "Han", "" ], [ "Bao", "Jiacheng", "" ], [ "Zhang", "Ruichi", "" ], [ "Ren", "Sihan", "" ], [ "Xu", "Yuecheng", "" ], [ "Yang", "Sibei", "" ], [ "Chen", "Xin", "" ], [ "Yu", "Jingyi", ...
We have recently seen tremendous progress in realistic text-to-motion generation. Yet, the existing methods often fail or produce implausible motions with unseen text inputs, which limits the applications. In this paper, we present OMG, a novel framework, which enables compelling motion generation from zero-shot open-v...
2305.06142
Jiaqi Sun
Jiaqi Sun, Lin Zhang, Guangyi Chen, Kun Zhang, Peng XU, Yujiu Yang
Feature Expansion for Graph Neural Networks
Accepted by ICML'23
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studied the representations of GNNs from the perspective of optimization goals and spectral graph theory. However, the feature space that domin...
[ { "created": "Wed, 10 May 2023 13:45:57 GMT", "version": "v1" }, { "created": "Sat, 27 May 2023 17:26:04 GMT", "version": "v2" } ]
2023-05-30
[ [ "Sun", "Jiaqi", "" ], [ "Zhang", "Lin", "" ], [ "Chen", "Guangyi", "" ], [ "Zhang", "Kun", "" ], [ "XU", "Peng", "" ], [ "Yang", "Yujiu", "" ] ]
Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studied the representations of GNNs from the perspective of optimization goals and spectral graph theory. However, the feature space that dominat...
2003.05240
Christian Meske
Christian Meske, Konstantin Wilms, Stefan Stieglitz
Enterprise Social Networks as Digital Infrastructures -- Understanding the Utilitarian Value of Social Media at the Workplace
null
Information Systems Management, 36:4, pp. 350-367 (2019)
null
null
cs.SI cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this study, we first show that while both the perceived usefulness and perceived enjoyment of enterprise social networks impact employees' intentions for continuous participation, the utilitarian value significantly outpaces its hedonic value. Second, we prove that the network's utilitarian value is constituted by...
[ { "created": "Wed, 11 Mar 2020 11:56:27 GMT", "version": "v1" } ]
2020-03-12
[ [ "Meske", "Christian", "" ], [ "Wilms", "Konstantin", "" ], [ "Stieglitz", "Stefan", "" ] ]
In this study, we first show that while both the perceived usefulness and perceived enjoyment of enterprise social networks impact employees' intentions for continuous participation, the utilitarian value significantly outpaces its hedonic value. Second, we prove that the network's utilitarian value is constituted by i...
2404.15378
Khai Nguyen
Khai Nguyen and Nhat Ho
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
28 pages, 11 figures, 4 tables
null
null
null
cs.CV cs.AI cs.GR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sliced Wasserstein (SW) and Generalized Sliced Wasserstein (GSW) have been widely used in applications due to their computational and statistical scalability. However, the SW and the GSW are only defined between distributions supported on a homogeneous domain. This limitation prevents their usage in applications with...
[ { "created": "Tue, 23 Apr 2024 03:04:22 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2024 20:52:08 GMT", "version": "v2" } ]
2024-05-02
[ [ "Nguyen", "Khai", "" ], [ "Ho", "Nhat", "" ] ]
Sliced Wasserstein (SW) and Generalized Sliced Wasserstein (GSW) have been widely used in applications due to their computational and statistical scalability. However, the SW and the GSW are only defined between distributions supported on a homogeneous domain. This limitation prevents their usage in applications with h...
1705.05231
Qiang Lu
Qiang Lu and Kyoung-Dae Kim
Autonomous and Connected Intersection Crossing Traffic Management using Discrete-Time Occupancies Trajectory
34 pages, 11 figures
null
null
null
cs.SY cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we address a problem of safe and efficient intersection crossing traffic management of autonomous and connected ground traffic. Toward this objective, we propose an algorithm that is called the Discrete-time occupancies trajectory based Intersection traffic Coordination Algorithm (DICA). We first prove...
[ { "created": "Fri, 12 May 2017 13:40:54 GMT", "version": "v1" } ]
2017-05-16
[ [ "Lu", "Qiang", "" ], [ "Kim", "Kyoung-Dae", "" ] ]
In this paper, we address a problem of safe and efficient intersection crossing traffic management of autonomous and connected ground traffic. Toward this objective, we propose an algorithm that is called the Discrete-time occupancies trajectory based Intersection traffic Coordination Algorithm (DICA). We first prove t...
2106.14126
GuangMeng Zhou
Guangmeng Zhou, Ke Xu, Qi Li, Yang Liu, Yi Zhao
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
null
null
null
null
cs.LG cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In multi-party collaborative learning, the parameter server sends a global model to each data holder for local training and then aggregates committed models globally to achieve privacy protection. However, both the dragger issue of synchronous collaborative learning and the staleness issue of asynchronous collaborati...
[ { "created": "Sun, 27 Jun 2021 02:41:19 GMT", "version": "v1" } ]
2021-06-29
[ [ "Zhou", "Guangmeng", "" ], [ "Xu", "Ke", "" ], [ "Li", "Qi", "" ], [ "Liu", "Yang", "" ], [ "Zhao", "Yi", "" ] ]
In multi-party collaborative learning, the parameter server sends a global model to each data holder for local training and then aggregates committed models globally to achieve privacy protection. However, both the dragger issue of synchronous collaborative learning and the staleness issue of asynchronous collaborative...