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2402.11421
Liao Wu
Ming Xuan Chua, Yoshiro Okubo, Shuhua Peng, Thanh Nho Do, Chun Hui Wang, and Liao Wu
Analysis of Fatigue-Induced Compensatory Movements in Bicep Curls: Gaining Insights for the Deployment of Wearable Sensors
11 pages, 7 figures, accepted by T-MRB
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A common challenge in Bicep Curls rehabilitation is muscle compensation, where patients adopt alternative movement patterns when the primary muscle group cannot act due to injury or fatigue, significantly decreasing the effectiveness of rehabilitation efforts. The problem is exacerbated by the growing trend toward tr...
[ { "created": "Sun, 18 Feb 2024 01:43:39 GMT", "version": "v1" }, { "created": "Sat, 25 May 2024 06:28:49 GMT", "version": "v2" } ]
2024-05-28
[ [ "Chua", "Ming Xuan", "" ], [ "Okubo", "Yoshiro", "" ], [ "Peng", "Shuhua", "" ], [ "Do", "Thanh Nho", "" ], [ "Wang", "Chun Hui", "" ], [ "Wu", "Liao", "" ] ]
A common challenge in Bicep Curls rehabilitation is muscle compensation, where patients adopt alternative movement patterns when the primary muscle group cannot act due to injury or fatigue, significantly decreasing the effectiveness of rehabilitation efforts. The problem is exacerbated by the growing trend toward tran...
2106.15252
Kai Han
Kai Han and Sylvestre-Alvise Rebuffi and S\'ebastien Ehrhardt and Andrea Vedaldi and Andrew Zisserman
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
TPAMI 2021, code: http://www.robots.ox.ac.uk/~vgg/research/auto_novel/. arXiv admin note: substantial text overlap with arXiv:2002.05714
null
10.1109/TPAMI.2021.3091944
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We tackle the problem of discovering novel classes in an image collection given labelled examples of other classes. We present a new approach called AutoNovel to address this problem by combining three ideas: (1) we suggest that the common approach of bootstrapping an image representation using the labelled data only...
[ { "created": "Tue, 29 Jun 2021 11:12:16 GMT", "version": "v1" } ]
2021-06-30
[ [ "Han", "Kai", "" ], [ "Rebuffi", "Sylvestre-Alvise", "" ], [ "Ehrhardt", "Sébastien", "" ], [ "Vedaldi", "Andrea", "" ], [ "Zisserman", "Andrew", "" ] ]
We tackle the problem of discovering novel classes in an image collection given labelled examples of other classes. We present a new approach called AutoNovel to address this problem by combining three ideas: (1) we suggest that the common approach of bootstrapping an image representation using the labelled data only i...
cs/0603124
Sheng Yang
Sheng Yang and Jean-Claude Belfiore
Diversity-Multiplexing Tradeoff of Double Scattering MIMO Channels
17 pages, 1 figure, submitted to IEEE trans. IT
null
null
null
cs.IT math.IT
null
It is well known that the presence of double scattering degrades the performance of a MIMO channel, in terms of both the multiplexing gain and the diversity gain. In this paper, a closed-form expression of the diversity-multiplexing tradeoff (DMT) of double scattering MIMO channels is obtained. It is shown that, for ...
[ { "created": "Thu, 30 Mar 2006 17:45:59 GMT", "version": "v1" }, { "created": "Fri, 31 Mar 2006 12:40:33 GMT", "version": "v2" } ]
2007-07-16
[ [ "Yang", "Sheng", "" ], [ "Belfiore", "Jean-Claude", "" ] ]
It is well known that the presence of double scattering degrades the performance of a MIMO channel, in terms of both the multiplexing gain and the diversity gain. In this paper, a closed-form expression of the diversity-multiplexing tradeoff (DMT) of double scattering MIMO channels is obtained. It is shown that, for a ...
2206.15058
Libin Zhu
Libin Zhu, Parthe Pandit, Mikhail Belkin
A note on Linear Bottleneck networks and their Transition to Multilinearity
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Randomly initialized wide neural networks transition to linear functions of weights as the width grows, in a ball of radius $O(1)$ around initialization. A necessary condition for this result is that all layers of the network are wide enough, i.e., all widths tend to infinity. However, the transition to linearity bre...
[ { "created": "Thu, 30 Jun 2022 06:40:32 GMT", "version": "v1" } ]
2022-07-01
[ [ "Zhu", "Libin", "" ], [ "Pandit", "Parthe", "" ], [ "Belkin", "Mikhail", "" ] ]
Randomly initialized wide neural networks transition to linear functions of weights as the width grows, in a ball of radius $O(1)$ around initialization. A necessary condition for this result is that all layers of the network are wide enough, i.e., all widths tend to infinity. However, the transition to linearity break...
2208.13707
Hui Zhou
Hui Zhou, Ken Raffenetti, Yanfei Guo, and Rajeev Thakur
MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming
10 pages, EuroMPI/USA'22
null
10.1145/3555819.3555820
null
cs.DC cs.PF
http://creativecommons.org/licenses/by/4.0/
The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system architectures growing more heterogeneous. The current MPI standard only specifies the compatibility levels between MPI and threading runtimes. ...
[ { "created": "Mon, 29 Aug 2022 16:36:03 GMT", "version": "v1" }, { "created": "Tue, 30 Aug 2022 02:15:43 GMT", "version": "v2" } ]
2022-08-31
[ [ "Zhou", "Hui", "" ], [ "Raffenetti", "Ken", "" ], [ "Guo", "Yanfei", "" ], [ "Thakur", "Rajeev", "" ] ]
The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system architectures growing more heterogeneous. The current MPI standard only specifies the compatibility levels between MPI and threading runtimes. No...
2112.12284
Linwei Zhu
Yun Zhang, Linwei Zhu, Gangyi Jiang, Sam Kwong and C.-C.Jay Kuo
A Survey on Perceptually Optimized Video Coding
36 pages, 12 figures, 6 tables, accepted by ACM Computing Surveys
null
null
null
cs.MM eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To provide users with more realistic visual experiences, videos are developing in the trends of Ultra High Definition (UHD), High Frame Rate (HFR), High Dynamic Range (HDR), Wide Color Gammut (WCG) and high clarity. However, the data amount of videos increases exponentially, which requires high efficiency video compr...
[ { "created": "Thu, 23 Dec 2021 00:19:16 GMT", "version": "v1" }, { "created": "Wed, 16 Nov 2022 02:28:27 GMT", "version": "v2" } ]
2022-11-17
[ [ "Zhang", "Yun", "" ], [ "Zhu", "Linwei", "" ], [ "Jiang", "Gangyi", "" ], [ "Kwong", "Sam", "" ], [ "Kuo", "C. -C. Jay", "" ] ]
To provide users with more realistic visual experiences, videos are developing in the trends of Ultra High Definition (UHD), High Frame Rate (HFR), High Dynamic Range (HDR), Wide Color Gammut (WCG) and high clarity. However, the data amount of videos increases exponentially, which requires high efficiency video compres...
2203.15958
Yangyang Xu
Yangyang Xu and Bailin Deng and Junle Wang and Yanqing Jing and Jia Pan and Shengfeng He
High-resolution Face Swapping via Latent Semantics Disentanglement
Paper is Acctpted by CVPR2022
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present a novel high-resolution face swapping method using the inherent prior knowledge of a pre-trained GAN model. Although previous research can leverage generative priors to produce high-resolution results, their quality can suffer from the entangled semantics of the latent space. We explicitly disentangle the ...
[ { "created": "Wed, 30 Mar 2022 00:33:08 GMT", "version": "v1" } ]
2022-03-31
[ [ "Xu", "Yangyang", "" ], [ "Deng", "Bailin", "" ], [ "Wang", "Junle", "" ], [ "Jing", "Yanqing", "" ], [ "Pan", "Jia", "" ], [ "He", "Shengfeng", "" ] ]
We present a novel high-resolution face swapping method using the inherent prior knowledge of a pre-trained GAN model. Although previous research can leverage generative priors to produce high-resolution results, their quality can suffer from the entangled semantics of the latent space. We explicitly disentangle the la...
2111.00970
Piotr Szyma\'nski
Szymon Wo\'zniak, Piotr Szyma\'nski
Hex2vec -- Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags
Accepted at 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GEOAI '21)
null
10.1145/3486635.3491076
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
Representation learning of spatial and geographic data is a rapidly developing field which allows for similarity detection between areas and high-quality inference using deep neural networks. Past approaches however concentrated on embedding raster imagery (maps, street or satellite photos), mobility data or road net...
[ { "created": "Mon, 1 Nov 2021 14:22:53 GMT", "version": "v1" } ]
2021-11-02
[ [ "Woźniak", "Szymon", "" ], [ "Szymański", "Piotr", "" ] ]
Representation learning of spatial and geographic data is a rapidly developing field which allows for similarity detection between areas and high-quality inference using deep neural networks. Past approaches however concentrated on embedding raster imagery (maps, street or satellite photos), mobility data or road netwo...
1904.08788
Giannis Delimpaltadakis
Giannis Delimpaltadakis and Manuel Mazo Jr
Isochronous Partitions for Region-Based Self-Triggered Control
One of the numerical examples contains improved results compared to older versions
IEEE Transactions on Automatic Control, vol. 66, no. 3, pp. 1160-1173, March 2021
10.1109/TAC.2020.2994020
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose a region-based self-triggered control (STC) scheme for nonlinear systems. The state space is partitioned into a finite number of regions, each of which is associated to a uniform inter-event time. The controller, at each sampling time instant, checks to which region does the current state bel...
[ { "created": "Thu, 18 Apr 2019 13:53:09 GMT", "version": "v1" }, { "created": "Mon, 23 Mar 2020 13:42:36 GMT", "version": "v2" }, { "created": "Wed, 2 Mar 2022 14:33:49 GMT", "version": "v3" } ]
2022-06-09
[ [ "Delimpaltadakis", "Giannis", "" ], [ "Mazo", "Manuel", "Jr" ] ]
In this work, we propose a region-based self-triggered control (STC) scheme for nonlinear systems. The state space is partitioned into a finite number of regions, each of which is associated to a uniform inter-event time. The controller, at each sampling time instant, checks to which region does the current state belon...
1902.03899
Alexander Spiegelman
Guy Goren and Alexander Spiegelman
Mind the Mining
null
null
null
null
cs.CR cs.DC cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we revisit the mining strategies in proof of work based cryptocurrencies and propose two strategies, we call smart and smarter mining, that in many cases strictly dominate honest mining. In contrast to other known attacks, like selfish mining, which induce zero-sum games among the miners, the strategies...
[ { "created": "Mon, 11 Feb 2019 14:38:04 GMT", "version": "v1" }, { "created": "Tue, 12 Feb 2019 10:22:31 GMT", "version": "v2" } ]
2019-02-13
[ [ "Goren", "Guy", "" ], [ "Spiegelman", "Alexander", "" ] ]
In this paper we revisit the mining strategies in proof of work based cryptocurrencies and propose two strategies, we call smart and smarter mining, that in many cases strictly dominate honest mining. In contrast to other known attacks, like selfish mining, which induce zero-sum games among the miners, the strategies p...
2206.06057
Lam Pham
Lam Pham, Dat Ngo, Anahid Jalali, Alexander Schindler
Low-complexity deep learning frameworks for acoustic scene classification
null
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this report, we presents low-complexity deep learning frameworks for acoustic scene classification (ASC). The proposed frameworks can be separated into four main steps: Front-end spectrogram extraction, online data augmentation, back-end classification, and late fusion of predicted probabilities. In particular, we...
[ { "created": "Mon, 13 Jun 2022 11:41:39 GMT", "version": "v1" } ]
2022-06-14
[ [ "Pham", "Lam", "" ], [ "Ngo", "Dat", "" ], [ "Jalali", "Anahid", "" ], [ "Schindler", "Alexander", "" ] ]
In this report, we presents low-complexity deep learning frameworks for acoustic scene classification (ASC). The proposed frameworks can be separated into four main steps: Front-end spectrogram extraction, online data augmentation, back-end classification, and late fusion of predicted probabilities. In particular, we i...
2305.16968
Joseph Chazalon
Philippe Bernet (1), Joseph Chazalon (1), Edwin Carlinet (1), Alexandre Bourquelot (1), Elodie Puybareau (1) ((1) EPITA Research Lab.)
Linear Object Detection in Document Images using Multiple Object Tracking
Accepted to ICDAR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or decoration (doubled, dashed). Many approaches can recover some vector representation, but only one closed-source technique introduced in 1994, based on Kalman fil...
[ { "created": "Fri, 26 May 2023 14:22:03 GMT", "version": "v1" } ]
2023-05-29
[ [ "Bernet", "Philippe", "", "EPITA Research Lab" ], [ "Chazalon", "Joseph", "", "EPITA Research Lab" ], [ "Carlinet", "Edwin", "", "EPITA Research Lab" ], [ "Bourquelot", "Alexandre", "", "EPITA Research Lab" ], [ "Puybareau", "...
Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or decoration (doubled, dashed). Many approaches can recover some vector representation, but only one closed-source technique introduced in 1994, based on Kalman filte...
1904.06109
In Kyu Park
Xiaowei Yuan, In Kyu Park
Face De-occlusion using 3D Morphable Model and Generative Adversarial Network
Presented in ICCV 2019
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction. However, face images are often corrupted by serious occlusion by non-face objects including eyeglasses, masks, and hands. Such objects block the correct capture of landmarks and shading informatio...
[ { "created": "Fri, 12 Apr 2019 09:06:47 GMT", "version": "v1" }, { "created": "Fri, 6 Sep 2019 14:29:45 GMT", "version": "v2" } ]
2019-09-09
[ [ "Yuan", "Xiaowei", "" ], [ "Park", "In Kyu", "" ] ]
In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction. However, face images are often corrupted by serious occlusion by non-face objects including eyeglasses, masks, and hands. Such objects block the correct capture of landmarks and shading information....
2401.06310
Akshita Jha
Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
Association for Computational Linguistics (ACL) 2024
null
null
null
cs.CV cs.CL cs.CY
http://creativecommons.org/licenses/by/4.0/
Recent studies have shown that Text-to-Image (T2I) model generations can reflect social stereotypes present in the real world. However, existing approaches for evaluating stereotypes have a noticeable lack of coverage of global identity groups and their associated stereotypes. To address this gap, we introduce the Vi...
[ { "created": "Fri, 12 Jan 2024 00:43:57 GMT", "version": "v1" }, { "created": "Thu, 22 Feb 2024 20:35:02 GMT", "version": "v2" }, { "created": "Sun, 14 Jul 2024 21:17:05 GMT", "version": "v3" } ]
2024-07-16
[ [ "Jha", "Akshita", "" ], [ "Prabhakaran", "Vinodkumar", "" ], [ "Denton", "Remi", "" ], [ "Laszlo", "Sarah", "" ], [ "Dave", "Shachi", "" ], [ "Qadri", "Rida", "" ], [ "Reddy", "Chandan K.", "" ], [ ...
Recent studies have shown that Text-to-Image (T2I) model generations can reflect social stereotypes present in the real world. However, existing approaches for evaluating stereotypes have a noticeable lack of coverage of global identity groups and their associated stereotypes. To address this gap, we introduce the ViSA...
2102.09392
Jacob Swambo MSci
Jacob Swambo and Antoine Poinsot
Risk Framework for Bitcoin Custody Operation with the Revault Protocol
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Our contributions with this paper are twofold. First, we elucidate the methodological requirements for a risk framework of custodial operations and argue for the value of this type of risk model as complementary with cryptographic and blockchain security models. Second, we present a risk model in the form of a librar...
[ { "created": "Sat, 13 Feb 2021 11:26:15 GMT", "version": "v1" }, { "created": "Wed, 28 Apr 2021 10:45:34 GMT", "version": "v2" } ]
2021-04-29
[ [ "Swambo", "Jacob", "" ], [ "Poinsot", "Antoine", "" ] ]
Our contributions with this paper are twofold. First, we elucidate the methodological requirements for a risk framework of custodial operations and argue for the value of this type of risk model as complementary with cryptographic and blockchain security models. Second, we present a risk model in the form of a library ...
1203.0088
Panigrahy Rina
Rina Panigrahy, Li Zhang
The Mind Grows Circuits
null
null
null
null
cs.AI cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a vast supply of prior art that study models for mental processes. Some studies in psychology and philosophy approach it from an inner perspective in terms of experiences and percepts. Others such as neurobiology or connectionist-machines approach it externally by viewing the mind as complex circuit of neuro...
[ { "created": "Thu, 1 Mar 2012 04:20:03 GMT", "version": "v1" }, { "created": "Sat, 17 Mar 2012 19:32:10 GMT", "version": "v2" } ]
2012-03-20
[ [ "Panigrahy", "Rina", "" ], [ "Zhang", "Li", "" ] ]
There is a vast supply of prior art that study models for mental processes. Some studies in psychology and philosophy approach it from an inner perspective in terms of experiences and percepts. Others such as neurobiology or connectionist-machines approach it externally by viewing the mind as complex circuit of neurons...
1809.03251
Oleg Finko
Sergey Dichenko and Oleg Finko
Two-Dimensional Control and Assurance of Data Integrity in Information Systems Based on Residue Number System Codes and Cryptographic Hash Functions
REMS 2018: Russian Federation & Europe Multidisciplinary Symposium on Computer Science and ICT NCFU -- North-Caucasus Federal University Stavropol, Russia, October 15-17, 2018
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The method of two-dimensional control and assurance of data integrity with the possibility of their recovery for information systems operating under conditions of random errors as well as errors generated through deliberate actions of the attacker is proposed. The data recovery procedure is based on the application o...
[ { "created": "Mon, 10 Sep 2018 11:58:15 GMT", "version": "v1" }, { "created": "Thu, 15 Nov 2018 13:16:24 GMT", "version": "v2" }, { "created": "Sat, 1 Dec 2018 12:41:09 GMT", "version": "v3" } ]
2018-12-04
[ [ "Dichenko", "Sergey", "" ], [ "Finko", "Oleg", "" ] ]
The method of two-dimensional control and assurance of data integrity with the possibility of their recovery for information systems operating under conditions of random errors as well as errors generated through deliberate actions of the attacker is proposed. The data recovery procedure is based on the application of ...
2406.05472
Aydin Zaboli
Aydin Zaboli, Seong Lok Choi, Tai-Jin Song, Junho Hong
A Novel Generative AI-Based Framework for Anomaly Detection in Multicast Messages in Smart Grid Communications
10 pages, 10 figures, Submitted to IEEE Transactions on Information Forensics and Security
null
null
null
cs.CR cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Cybersecurity breaches in digital substations can pose significant challenges to the stability and reliability of power system operations. To address these challenges, defense and mitigation techniques are required. Identifying and detecting anomalies in information and communication technology (ICT) is crucial to en...
[ { "created": "Sat, 8 Jun 2024 13:28:50 GMT", "version": "v1" } ]
2024-06-11
[ [ "Zaboli", "Aydin", "" ], [ "Choi", "Seong Lok", "" ], [ "Song", "Tai-Jin", "" ], [ "Hong", "Junho", "" ] ]
Cybersecurity breaches in digital substations can pose significant challenges to the stability and reliability of power system operations. To address these challenges, defense and mitigation techniques are required. Identifying and detecting anomalies in information and communication technology (ICT) is crucial to ensu...
1812.05168
Luiz Capretz Dr.
Tamer Mohamed Abdellatif, Luiz Fernando Capretz
Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering
null
International Workshop on Professional Search (ACM SIGIR - ProfS 2018), pp. 12-17, Ann Arbor, Michigan, USA, July 2018
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The lessons learned (LL) repository is one of the most valuable sources of knowledge for a software organization. It can provide distinctive guidance regarding previous working solutions for historical software management problems, or former success stories to be followed. However, the unstructured format of the LL r...
[ { "created": "Wed, 12 Dec 2018 21:45:33 GMT", "version": "v1" } ]
2018-12-14
[ [ "Abdellatif", "Tamer Mohamed", "" ], [ "Capretz", "Luiz Fernando", "" ] ]
The lessons learned (LL) repository is one of the most valuable sources of knowledge for a software organization. It can provide distinctive guidance regarding previous working solutions for historical software management problems, or former success stories to be followed. However, the unstructured format of the LL rep...
2401.05746
Heqing Zou
Heqing Zou, Meng Shen, Yuchen Hu, Chen Chen, Eng Siong Chng, Deepu Rajan
Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
Accepted by ICASSP 2024
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Audio-visual deepfake detection scrutinizes manipulations in public video using complementary multimodal cues. Current methods, which train on fused multimodal data for multimodal targets face challenges due to uncertainties and inconsistencies in learned representations caused by independent modality manipulations i...
[ { "created": "Thu, 11 Jan 2024 08:52:13 GMT", "version": "v1" } ]
2024-01-12
[ [ "Zou", "Heqing", "" ], [ "Shen", "Meng", "" ], [ "Hu", "Yuchen", "" ], [ "Chen", "Chen", "" ], [ "Chng", "Eng Siong", "" ], [ "Rajan", "Deepu", "" ] ]
Audio-visual deepfake detection scrutinizes manipulations in public video using complementary multimodal cues. Current methods, which train on fused multimodal data for multimodal targets face challenges due to uncertainties and inconsistencies in learned representations caused by independent modality manipulations in ...
2208.12804
Maximilian Weininger
Florian J\"ungermann, Jan K\v{r}et\'insk\'y, and Maximilian Weininger
Algebraically Explainable Controllers: Decision Trees and Support Vector Machines Join Forces
null
null
null
null
cs.LG cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recently, decision trees (DT) have been used as an explainable representation of controllers (a.k.a. strategies, policies, schedulers). Although they are often very efficient and produce small and understandable controllers for discrete systems, complex continuous dynamics still pose a challenge. In particular, when ...
[ { "created": "Fri, 26 Aug 2022 17:57:37 GMT", "version": "v1" }, { "created": "Mon, 29 Aug 2022 11:28:10 GMT", "version": "v2" } ]
2022-08-30
[ [ "Jüngermann", "Florian", "" ], [ "Křetínský", "Jan", "" ], [ "Weininger", "Maximilian", "" ] ]
Recently, decision trees (DT) have been used as an explainable representation of controllers (a.k.a. strategies, policies, schedulers). Although they are often very efficient and produce small and understandable controllers for discrete systems, complex continuous dynamics still pose a challenge. In particular, when th...
2307.15773
Yanfang Liu
Yanfang Liu, Guohao Dai and Wei W.Xing
Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold
2023 60th ACM/IEEE Design Automation Conference(DAC)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Being able to efficiently obtain an accurate estimate of the failure probability of SRAM components has become a central issue as model circuits shrink their scale to submicrometer with advanced technology nodes. In this work, we revisit the classic norm minimization method. We then generalize it with infinite compon...
[ { "created": "Fri, 28 Jul 2023 19:21:39 GMT", "version": "v1" } ]
2023-08-01
[ [ "Liu", "Yanfang", "" ], [ "Dai", "Guohao", "" ], [ "Xing", "Wei W.", "" ] ]
Being able to efficiently obtain an accurate estimate of the failure probability of SRAM components has become a central issue as model circuits shrink their scale to submicrometer with advanced technology nodes. In this work, we revisit the classic norm minimization method. We then generalize it with infinite componen...
1905.03176
Ti-Yen Lan
Ti-Yen Lan, Tamir Bendory, Nicolas Boumal, Amit Singer
Multi-target Detection with an Arbitrary Spacing Distribution
13 pages, 8 figures
null
10.1109/TSP.2020.2975943
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the structure reconstruction problem in single-particle cryo-electron microscopy, we consider the multi-target detection model, where multiple copies of a target signal occur at unknown locations in a long measurement, further corrupted by additive Gaussian noise. At low noise levels, one can easily dete...
[ { "created": "Wed, 8 May 2019 16:02:02 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2019 14:45:20 GMT", "version": "v2" }, { "created": "Thu, 23 Jan 2020 02:08:53 GMT", "version": "v3" } ]
2020-04-22
[ [ "Lan", "Ti-Yen", "" ], [ "Bendory", "Tamir", "" ], [ "Boumal", "Nicolas", "" ], [ "Singer", "Amit", "" ] ]
Motivated by the structure reconstruction problem in single-particle cryo-electron microscopy, we consider the multi-target detection model, where multiple copies of a target signal occur at unknown locations in a long measurement, further corrupted by additive Gaussian noise. At low noise levels, one can easily detect...
2206.00730
Tom Schaul
Tom Schaul, Andr\'e Barreto, John Quan, Georg Ostrovski
The Phenomenon of Policy Churn
Published at NeurIPS 2022
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We identify and study the phenomenon of policy churn, that is, the rapid change of the greedy policy in value-based reinforcement learning. Policy churn operates at a surprisingly rapid pace, changing the greedy action in a large fraction of states within a handful of learning updates (in a typical deep RL set-up suc...
[ { "created": "Wed, 1 Jun 2022 19:44:18 GMT", "version": "v1" }, { "created": "Thu, 9 Jun 2022 15:42:47 GMT", "version": "v2" }, { "created": "Thu, 20 Oct 2022 19:29:24 GMT", "version": "v3" } ]
2022-10-24
[ [ "Schaul", "Tom", "" ], [ "Barreto", "André", "" ], [ "Quan", "John", "" ], [ "Ostrovski", "Georg", "" ] ]
We identify and study the phenomenon of policy churn, that is, the rapid change of the greedy policy in value-based reinforcement learning. Policy churn operates at a surprisingly rapid pace, changing the greedy action in a large fraction of states within a handful of learning updates (in a typical deep RL set-up such ...
1612.07120
Bin Bai Dr.
Bin Bai, Jianbin Liu, Yu Zhou, Songlin Zhang, Yuchen He, Zhuo Xu
Imaging around corners with single-pixel detector by computational ghost imaging
null
null
10.1016/j.ijleo.2017.08.057
null
cs.CV physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have designed a single-pixel camera with imaging around corners based on computational ghost imaging. It can obtain the image of an object when the camera cannot look at the object directly. Our imaging system explores the fact that a bucket detector in a ghost imaging setup has no spatial resolution capability. A...
[ { "created": "Thu, 8 Dec 2016 09:54:20 GMT", "version": "v1" } ]
2017-10-11
[ [ "Bai", "Bin", "" ], [ "Liu", "Jianbin", "" ], [ "Zhou", "Yu", "" ], [ "Zhang", "Songlin", "" ], [ "He", "Yuchen", "" ], [ "Xu", "Zhuo", "" ] ]
We have designed a single-pixel camera with imaging around corners based on computational ghost imaging. It can obtain the image of an object when the camera cannot look at the object directly. Our imaging system explores the fact that a bucket detector in a ghost imaging setup has no spatial resolution capability. A s...
1810.03664
Diptarka Chakraborty
Diptarka Chakraborty, Debarati Das, Elazar Goldenberg, Michal Koucky, Michael Saks
Approximating Edit Distance Within Constant Factor in Truly Sub-Quadratic Time
null
Journal of the ACM, Volume 67, Issue 6, October 2020, Article No.: 36, Page number: 1-22
10.1145/3422823
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Edit distance is a measure of similarity of two strings based on the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. The edit distance can be computed exactly using a dynamic programming algorithm that runs in quadratic time. Andoni, Krauthgamer, a...
[ { "created": "Mon, 8 Oct 2018 19:08:37 GMT", "version": "v1" }, { "created": "Tue, 16 Feb 2021 04:57:03 GMT", "version": "v2" } ]
2021-02-17
[ [ "Chakraborty", "Diptarka", "" ], [ "Das", "Debarati", "" ], [ "Goldenberg", "Elazar", "" ], [ "Koucky", "Michal", "" ], [ "Saks", "Michael", "" ] ]
Edit distance is a measure of similarity of two strings based on the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. The edit distance can be computed exactly using a dynamic programming algorithm that runs in quadratic time. Andoni, Krauthgamer, and...
2103.11715
Antonios Liapis
Antonios Liapis, Hector P. Martinez, Julian Togelius and Georgios N. Yannakakis
Transforming Exploratory Creativity with DeLeNoX
8 pages
Proceedings of the Fourth International Conference on Computational Creativity, 2013, pages 56-63
null
null
cs.AI cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce DeLeNoX (Deep Learning Novelty Explorer), a system that autonomously creates artifacts in constrained spaces according to its own evolving interestingness criterion. DeLeNoX proceeds in alternating phases of exploration and transformation. In the exploration phases, a version of novelty search augmented ...
[ { "created": "Mon, 22 Mar 2021 10:39:29 GMT", "version": "v1" } ]
2021-03-23
[ [ "Liapis", "Antonios", "" ], [ "Martinez", "Hector P.", "" ], [ "Togelius", "Julian", "" ], [ "Yannakakis", "Georgios N.", "" ] ]
We introduce DeLeNoX (Deep Learning Novelty Explorer), a system that autonomously creates artifacts in constrained spaces according to its own evolving interestingness criterion. DeLeNoX proceeds in alternating phases of exploration and transformation. In the exploration phases, a version of novelty search augmented wi...
1203.3883
Igor Sergeev
Igor S. Sergeev
A note on the fast power series' exponential
7 pages, in English; 7 pages, in Russian
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is shown that the exponential of a complex power series up to order n can be implemented via (23/12+o(1))M(n) binary arithmetic operations over complex field, where M(n) stands for the (smoothed) complexity of multiplication of polynomials of degree <n in FFT-model. Yet, it is shown how to raise a power series to ...
[ { "created": "Sat, 17 Mar 2012 18:20:32 GMT", "version": "v1" } ]
2012-03-20
[ [ "Sergeev", "Igor S.", "" ] ]
It is shown that the exponential of a complex power series up to order n can be implemented via (23/12+o(1))M(n) binary arithmetic operations over complex field, where M(n) stands for the (smoothed) complexity of multiplication of polynomials of degree <n in FFT-model. Yet, it is shown how to raise a power series to a ...
2403.08295
Thomas Mesnard
Gemma Team: Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivi\`ere, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, L\'eonard Hussenot, Pier Giuseppe Sessa, Aakanksha Chowdhery, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, Am\...
Gemma: Open Models Based on Gemini Research and Technology
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. We release two sizes of models (2 billion and...
[ { "created": "Wed, 13 Mar 2024 06:59:16 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2024 12:32:33 GMT", "version": "v2" }, { "created": "Thu, 11 Apr 2024 13:53:29 GMT", "version": "v3" }, { "created": "Tue, 16 Apr 2024 12:52:47 GMT", "version": "v4" } ]
2024-04-17
[ [ "Gemma Team", "", "" ], [ "Mesnard", "Thomas", "" ], [ "Hardin", "Cassidy", "" ], [ "Dadashi", "Robert", "" ], [ "Bhupatiraju", "Surya", "" ], [ "Pathak", "Shreya", "" ], [ "Sifre", "Laurent", "" ], [ ...
This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. We release two sizes of models (2 billion and 7...
2308.10068
Duo Wu
Duo Wu, Dayou Zhang, Miao Zhang, Ruoyu Zhang, Fangxin Wang, Shuguang Cui
ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration
This article has been accepted for publication in IEEE Transactions on Mobile Computing. Citation information: DOI 10.1109/TMC.2023.3327097
null
10.1109/TMC.2023.3327097
null
cs.NI cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The high-accuracy and resource-intensive deep neural networks (DNNs) have been widely adopted by live video analytics (VA), where camera videos are streamed over the network to resource-rich edge/cloud servers for DNN inference. Common video encoding configurations (e.g., resolution and frame rate) have been identifi...
[ { "created": "Sat, 19 Aug 2023 16:20:59 GMT", "version": "v1" }, { "created": "Thu, 2 Nov 2023 12:05:23 GMT", "version": "v2" } ]
2023-11-03
[ [ "Wu", "Duo", "" ], [ "Zhang", "Dayou", "" ], [ "Zhang", "Miao", "" ], [ "Zhang", "Ruoyu", "" ], [ "Wang", "Fangxin", "" ], [ "Cui", "Shuguang", "" ] ]
The high-accuracy and resource-intensive deep neural networks (DNNs) have been widely adopted by live video analytics (VA), where camera videos are streamed over the network to resource-rich edge/cloud servers for DNN inference. Common video encoding configurations (e.g., resolution and frame rate) have been identified...
0903.2188
Damiano Zanardini
Victor Pablos Ceruelo and Susana Munoz-Hernandez and Hannes Strass
Rfuzzy framework
Paper presented at the 18th Workshop on Logic-based Methods in Programming Environments (WLPE2008) (Report-No: WLPE/2008). Paper submitted by a co-editor of the Workshop proceedings
null
null
WLPE/2008/01
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fuzzy reasoning is a very productive research field that during the last years has provided a number of theoretical approaches and practical implementation prototypes. Nevertheless, the classical implementations, like Fril, are not adapted to the latest formal approaches, like multi-adjoint logic semantics. Some prom...
[ { "created": "Thu, 12 Mar 2009 15:20:19 GMT", "version": "v1" } ]
2009-03-13
[ [ "Ceruelo", "Victor Pablos", "" ], [ "Munoz-Hernandez", "Susana", "" ], [ "Strass", "Hannes", "" ] ]
Fuzzy reasoning is a very productive research field that during the last years has provided a number of theoretical approaches and practical implementation prototypes. Nevertheless, the classical implementations, like Fril, are not adapted to the latest formal approaches, like multi-adjoint logic semantics. Some promis...
1609.06553
Jose Barros Justo
Jose Luis Barros-Justo, Fernando Pinciroli, Santiago Matalonga, Marco Aurelio Paz Gonzalez, Nelson Martinez Araujo
Systematic Mapping Protocol: Have Systematic Reuse Benefits Been Transferred to Real-world Settings?
The aim of this complete description of a protocol for conducting a systematic mapping study is to accompany a full research paper on the subject of Software Reuse
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This document details the planning phase of a Systematic Mapping Study. Our goal is to identify and to understand the benefits that the software engineering community has reported on the application of the different reuse strategies in industrial context, by building a general picture (map) containing: the claimed be...
[ { "created": "Tue, 20 Sep 2016 12:13:19 GMT", "version": "v1" } ]
2016-09-22
[ [ "Barros-Justo", "Jose Luis", "" ], [ "Pinciroli", "Fernando", "" ], [ "Matalonga", "Santiago", "" ], [ "Gonzalez", "Marco Aurelio Paz", "" ], [ "Araujo", "Nelson Martinez", "" ] ]
This document details the planning phase of a Systematic Mapping Study. Our goal is to identify and to understand the benefits that the software engineering community has reported on the application of the different reuse strategies in industrial context, by building a general picture (map) containing: the claimed bene...
2208.11246
Richard Zhang
Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
NeurIPS 2022
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The matrix completion problem seeks to recover a $d\times d$ ground truth matrix of low rank $r\ll d$ from observations of its individual elements. Real-world matrix completion is often a huge-scale optimization problem, with $d$ so large that even the simplest full-dimension vector operations with $O(d)$ time comple...
[ { "created": "Wed, 24 Aug 2022 00:56:52 GMT", "version": "v1" }, { "created": "Sun, 23 Oct 2022 01:25:40 GMT", "version": "v2" } ]
2022-10-25
[ [ "Zhang", "Gavin", "" ], [ "Chiu", "Hong-Ming", "" ], [ "Zhang", "Richard Y.", "" ] ]
The matrix completion problem seeks to recover a $d\times d$ ground truth matrix of low rank $r\ll d$ from observations of its individual elements. Real-world matrix completion is often a huge-scale optimization problem, with $d$ so large that even the simplest full-dimension vector operations with $O(d)$ time complexi...
2007.08303
Klaus Kursawe
Klaus Kursawe
Wendy, the Good Little Fairness Widget
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The advent of decentralized trading markets introduces a number of new challenges for consensus protocols. In addition to the `usual' attacks -- a subset of the validators trying to prevent disagreement -- there is now the possibility of financial fraud, which can abuse properties not normally considered critical in ...
[ { "created": "Thu, 16 Jul 2020 12:43:31 GMT", "version": "v1" } ]
2020-07-17
[ [ "Kursawe", "Klaus", "" ] ]
The advent of decentralized trading markets introduces a number of new challenges for consensus protocols. In addition to the `usual' attacks -- a subset of the validators trying to prevent disagreement -- there is now the possibility of financial fraud, which can abuse properties not normally considered critical in co...
2211.05716
Sixing Yu
Sixing Yu, J. Pablo Mu\~noz, Ali Jannesari
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search
Accepted at the 30th International European Conference on Parallel and Distributed Computing (Euro-Par 2024)
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning (FL) is extensively used to train AI/ML models in distributed and privacy-preserving settings. Participant edge devices in FL systems typically contain non-independent and identically distributed (Non-IID) private data and unevenly distributed computational resources. Preserving user data privacy w...
[ { "created": "Wed, 9 Nov 2022 09:38:57 GMT", "version": "v1" }, { "created": "Wed, 1 May 2024 03:31:12 GMT", "version": "v2" } ]
2024-05-02
[ [ "Yu", "Sixing", "" ], [ "Muñoz", "J. Pablo", "" ], [ "Jannesari", "Ali", "" ] ]
Federated Learning (FL) is extensively used to train AI/ML models in distributed and privacy-preserving settings. Participant edge devices in FL systems typically contain non-independent and identically distributed (Non-IID) private data and unevenly distributed computational resources. Preserving user data privacy whi...
2304.09174
Chunxu Zhang
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao and Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spatio-Temporal prediction plays a critical role in smart city construction. Jointly modeling multiple spatio-temporal tasks can further promote an intelligent city life by integrating their inseparable relationship. However, existing studies fail to address this joint learning problem well, which generally solve tas...
[ { "created": "Sun, 16 Apr 2023 10:03:05 GMT", "version": "v1" } ]
2023-04-20
[ [ "Zhang", "Zijian", "" ], [ "Zhao", "Xiangyu", "" ], [ "Miao", "Hao", "" ], [ "Zhang", "Chunxu", "" ], [ "Zhao", "Hongwei", "" ], [ "Zhang", "Junbo", "" ] ]
Spatio-Temporal prediction plays a critical role in smart city construction. Jointly modeling multiple spatio-temporal tasks can further promote an intelligent city life by integrating their inseparable relationship. However, existing studies fail to address this joint learning problem well, which generally solve tasks...
1401.3907
Xiaosong Lu
Xiaosong Lu, Howard M. Schwartz, Sidney N. Givigi Jr
Policy Invariance under Reward Transformations for General-Sum Stochastic Games
null
Journal Of Artificial Intelligence Research, Volume 41, pages 397-406, 2011
10.1613/jair.3384
null
cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We extend the potential-based shaping method from Markov decision processes to multi-player general-sum stochastic games. We prove that the Nash equilibria in a stochastic game remains unchanged after potential-based shaping is applied to the environment. The property of policy invariance provides a possible way of s...
[ { "created": "Thu, 16 Jan 2014 05:22:56 GMT", "version": "v1" } ]
2014-01-17
[ [ "Lu", "Xiaosong", "" ], [ "Schwartz", "Howard M.", "" ], [ "Givigi", "Sidney N.", "Jr" ] ]
We extend the potential-based shaping method from Markov decision processes to multi-player general-sum stochastic games. We prove that the Nash equilibria in a stochastic game remains unchanged after potential-based shaping is applied to the environment. The property of policy invariance provides a possible way of spe...
2306.09467
Mononito Goswami Mr.
Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
AQuA: A Benchmarking Tool for Label Quality Assessment
Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks. Source code can be found at www.github.com/autonlab/aqua/
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Machine learning (ML) models are only as good as the data they are trained on. But recent studies have found datasets widely used to train and evaluate ML models, e.g. ImageNet, to have pervasive labeling errors. Erroneous labels on the train set hurt ML models' ability to generalize, and they impact evaluation and m...
[ { "created": "Thu, 15 Jun 2023 19:42:11 GMT", "version": "v1" }, { "created": "Tue, 16 Jan 2024 11:10:28 GMT", "version": "v2" } ]
2024-01-17
[ [ "Goswami", "Mononito", "" ], [ "Sanil", "Vedant", "" ], [ "Choudhry", "Arjun", "" ], [ "Srinivasan", "Arvind", "" ], [ "Udompanyawit", "Chalisa", "" ], [ "Dubrawski", "Artur", "" ] ]
Machine learning (ML) models are only as good as the data they are trained on. But recent studies have found datasets widely used to train and evaluate ML models, e.g. ImageNet, to have pervasive labeling errors. Erroneous labels on the train set hurt ML models' ability to generalize, and they impact evaluation and mod...
1910.05467
Zhaorui Li
Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong
Quantification of the Leakage in Federated Learning
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the growing emphasis on users' privacy, federated learning has become more and more popular. Many architectures have been raised for a better security. Most architecture work on the assumption that data's gradient could not leak information. However, some work, recently, has shown such gradients may lead to leak...
[ { "created": "Sat, 12 Oct 2019 02:39:54 GMT", "version": "v1" }, { "created": "Wed, 11 Mar 2020 12:43:49 GMT", "version": "v2" } ]
2020-03-12
[ [ "Li", "Zhaorui", "" ], [ "Huang", "Zhicong", "" ], [ "Chen", "Chaochao", "" ], [ "Hong", "Cheng", "" ] ]
With the growing emphasis on users' privacy, federated learning has become more and more popular. Many architectures have been raised for a better security. Most architecture work on the assumption that data's gradient could not leak information. However, some work, recently, has shown such gradients may lead to leakag...
2008.12336
Amro Alabsi Aljundi
Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya
GOSH: Embedding Big Graphs on Small Hardware
11 pages, 4 figures, published in ICPP 2020: The 49th International Conference on Parallel Processing - Edmonton, AB, Canada
null
10.1145/3404397.3404456
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In graph embedding, the connectivity information of a graph is used to represent each vertex as a point in a d-dimensional space. Unlike the original, irregular structural information, such a representation can be used for a multitude of machine learning tasks. Although the process is extremely useful in practice, it...
[ { "created": "Thu, 27 Aug 2020 18:53:32 GMT", "version": "v1" }, { "created": "Mon, 31 Aug 2020 09:38:24 GMT", "version": "v2" } ]
2020-09-01
[ [ "Akyildiz", "Taha Atahan", "" ], [ "Aljundi", "Amro Alabsi", "" ], [ "Kaya", "Kamer", "" ] ]
In graph embedding, the connectivity information of a graph is used to represent each vertex as a point in a d-dimensional space. Unlike the original, irregular structural information, such a representation can be used for a multitude of machine learning tasks. Although the process is extremely useful in practice, it i...
1804.06559
Ye Yuan
Jianfeng Wang, Ye Yuan, Boxun Li, Gang Yu, Sun Jian
SFace: An Efficient Network for Face Detection in Large Scale Variations
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face detection serves as a fundamental research topic for many applications like face recognition. Impressive progress has been made especially with the recent development of convolutional neural networks. However, the issue of large scale variations, which widely exists in high resolution images/videos, has not been...
[ { "created": "Wed, 18 Apr 2018 05:25:57 GMT", "version": "v1" }, { "created": "Mon, 23 Apr 2018 09:40:22 GMT", "version": "v2" } ]
2018-04-24
[ [ "Wang", "Jianfeng", "" ], [ "Yuan", "Ye", "" ], [ "Li", "Boxun", "" ], [ "Yu", "Gang", "" ], [ "Jian", "Sun", "" ] ]
Face detection serves as a fundamental research topic for many applications like face recognition. Impressive progress has been made especially with the recent development of convolutional neural networks. However, the issue of large scale variations, which widely exists in high resolution images/videos, has not been w...
2006.11176
Elizaveta Sivak
Elizaveta Sivak and Ivan Smirnov
Measuring Adolescents' Well-being: Correspondence of Naive Digital Traces to Survey Data
null
null
10.1007/978-3-030-60975-7_26
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital traces are often used as a substitute for survey data. However, it is unclear whether and how digital traces actually correspond to the survey-based traits they purport to measure. This paper examines correlations between self-reports and digital trace proxies of depression, anxiety, mood, social integration ...
[ { "created": "Fri, 19 Jun 2020 15:09:58 GMT", "version": "v1" } ]
2024-07-02
[ [ "Sivak", "Elizaveta", "" ], [ "Smirnov", "Ivan", "" ] ]
Digital traces are often used as a substitute for survey data. However, it is unclear whether and how digital traces actually correspond to the survey-based traits they purport to measure. This paper examines correlations between self-reports and digital trace proxies of depression, anxiety, mood, social integration an...
2204.07212
Chen Quan
Chen Quan, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine
null
null
null
null
cs.CR eess.SP
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this paper, two reputation based algorithms called Reputation and audit based clustering (RAC) algorithm and Reputation and audit based clustering with auxiliary anchor node (RACA) algorithm are proposed to defend against Byzantine attacks in distributed detection networks when the fusion center (FC) has no prior ...
[ { "created": "Thu, 14 Apr 2022 20:22:23 GMT", "version": "v1" } ]
2022-04-18
[ [ "Quan", "Chen", "" ], [ "Han", "Yunghsiang S.", "" ], [ "Geng", "Baocheng", "" ], [ "Varshney", "Pramod K.", "" ] ]
In this paper, two reputation based algorithms called Reputation and audit based clustering (RAC) algorithm and Reputation and audit based clustering with auxiliary anchor node (RACA) algorithm are proposed to defend against Byzantine attacks in distributed detection networks when the fusion center (FC) has no prior kn...
1902.06527
Woojun Kim
Woojun Kim, Myungsik Cho, Youngchul Sung
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
The 33rd AAAI Conference on Artificial Intelligence (AAAI) 2019
null
null
null
cs.LG cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a new learning technique named message-dropout to improve the performance for multi-agent deep reinforcement learning under two application scenarios: 1) classical multi-agent reinforcement learning with direct message communication among agents and 2) centralized training with decentralized...
[ { "created": "Mon, 18 Feb 2019 11:40:29 GMT", "version": "v1" } ]
2019-02-19
[ [ "Kim", "Woojun", "" ], [ "Cho", "Myungsik", "" ], [ "Sung", "Youngchul", "" ] ]
In this paper, we propose a new learning technique named message-dropout to improve the performance for multi-agent deep reinforcement learning under two application scenarios: 1) classical multi-agent reinforcement learning with direct message communication among agents and 2) centralized training with decentralized e...
1907.10761
Mikel Artetxe
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Bilingual Lexicon Induction through Unsupervised Machine Translation
ACL 2019
null
10.18653/v1/P19-1494
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A recent research line has obtained strong results on bilingual lexicon induction by aligning independently trained word embeddings in two languages and using the resulting cross-lingual embeddings to induce word translation pairs through nearest neighbor or related retrieval methods. In this paper, we propose an alt...
[ { "created": "Wed, 24 Jul 2019 22:30:04 GMT", "version": "v1" } ]
2021-12-28
[ [ "Artetxe", "Mikel", "" ], [ "Labaka", "Gorka", "" ], [ "Agirre", "Eneko", "" ] ]
A recent research line has obtained strong results on bilingual lexicon induction by aligning independently trained word embeddings in two languages and using the resulting cross-lingual embeddings to induce word translation pairs through nearest neighbor or related retrieval methods. In this paper, we propose an alter...
2106.05508
Jiankai Sun
Jiankai Sun and Xin Yang and Yuanshun Yao and Aonan Zhang and Weihao Gao and Junyuan Xie and Chong Wang
Vertical Federated Learning without Revealing Intersection Membership
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vertical Federated Learning (vFL) allows multiple parties that own different attributes (e.g. features and labels) of the same data entity (e.g. a person) to jointly train a model. To prepare the training data, vFL needs to identify the common data entities shared by all parties. It is usually achieved by Private Set...
[ { "created": "Thu, 10 Jun 2021 05:26:50 GMT", "version": "v1" } ]
2021-06-11
[ [ "Sun", "Jiankai", "" ], [ "Yang", "Xin", "" ], [ "Yao", "Yuanshun", "" ], [ "Zhang", "Aonan", "" ], [ "Gao", "Weihao", "" ], [ "Xie", "Junyuan", "" ], [ "Wang", "Chong", "" ] ]
Vertical Federated Learning (vFL) allows multiple parties that own different attributes (e.g. features and labels) of the same data entity (e.g. a person) to jointly train a model. To prepare the training data, vFL needs to identify the common data entities shared by all parties. It is usually achieved by Private Set I...
2208.04097
Rohit Ram
Rohit Ram, Emma Thomas, David Kernot and Marian-Andrei Rizoiu
Detecting Extreme Ideologies in Shifting Landscapes: an Automatic & Context-Agnostic Approach
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In democratic countries, the ideology landscape is foundational to individual and collective political action; conversely, fringe ideology drives Ideologically Motivated Violent Extremism (IMVE). Therefore, quantifying ideology is a crucial first step to an ocean of downstream problems, such as; understanding and cou...
[ { "created": "Mon, 8 Aug 2022 12:31:33 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2023 04:58:47 GMT", "version": "v2" }, { "created": "Wed, 29 Mar 2023 03:19:39 GMT", "version": "v3" } ]
2023-03-30
[ [ "Ram", "Rohit", "" ], [ "Thomas", "Emma", "" ], [ "Kernot", "David", "" ], [ "Rizoiu", "Marian-Andrei", "" ] ]
In democratic countries, the ideology landscape is foundational to individual and collective political action; conversely, fringe ideology drives Ideologically Motivated Violent Extremism (IMVE). Therefore, quantifying ideology is a crucial first step to an ocean of downstream problems, such as; understanding and count...
2003.00397
Qi Wu
Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
To appear in CVPR2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Home design is a complex task that normally requires architects to finish with their professional skills and tools. It will be fascinating that if one can produce a house plan intuitively without knowing much knowledge about home design and experience of using complex designing tools, for example, via natural languag...
[ { "created": "Sun, 1 Mar 2020 04:28:48 GMT", "version": "v1" } ]
2020-03-03
[ [ "Chen", "Qi", "" ], [ "Wu", "Qi", "" ], [ "Tang", "Rui", "" ], [ "Wang", "Yuhan", "" ], [ "Wang", "Shuai", "" ], [ "Tan", "Mingkui", "" ] ]
Home design is a complex task that normally requires architects to finish with their professional skills and tools. It will be fascinating that if one can produce a house plan intuitively without knowing much knowledge about home design and experience of using complex designing tools, for example, via natural language....
2105.02803
Ruoxi Qin
Ruoxi Qin, Linyuan Wang, Xingyuan Chen, Xuehui Du, Bin Yan
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model
17 pages,8 figures
null
null
null
cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have been shown to suffer from critical vulnerabilities under adversarial attacks. This phenomenon stimulated the creation of different attack and defense strategies similar to those adopted in cyberspace security. The dependence of such strategies on attack and defense mechanisms makes the assoc...
[ { "created": "Thu, 6 May 2021 16:48:52 GMT", "version": "v1" } ]
2021-05-07
[ [ "Qin", "Ruoxi", "" ], [ "Wang", "Linyuan", "" ], [ "Chen", "Xingyuan", "" ], [ "Du", "Xuehui", "" ], [ "Yan", "Bin", "" ] ]
Deep neural networks have been shown to suffer from critical vulnerabilities under adversarial attacks. This phenomenon stimulated the creation of different attack and defense strategies similar to those adopted in cyberspace security. The dependence of such strategies on attack and defense mechanisms makes the associa...
1807.08706
Jasper Van Der Waa
Jasper van der Waa, Jurriaan van Diggelen, Karel van den Bosch, Mark Neerincx
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
XAI workshop on the IJCAI conference 2018, Stockholm, Sweden
IJCAI-18 Workshop on Explainable AI (XAI). Vol. 37. 2018
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine Learning models become increasingly proficient in complex tasks. However, even for experts in the field, it can be difficult to understand what the model learned. This hampers trust and acceptance, and it obstructs the possibility to correct the model. There is therefore a need for transparency of machine lea...
[ { "created": "Mon, 23 Jul 2018 16:32:38 GMT", "version": "v1" } ]
2018-07-24
[ [ "van der Waa", "Jasper", "" ], [ "van Diggelen", "Jurriaan", "" ], [ "Bosch", "Karel van den", "" ], [ "Neerincx", "Mark", "" ] ]
Machine Learning models become increasingly proficient in complex tasks. However, even for experts in the field, it can be difficult to understand what the model learned. This hampers trust and acceptance, and it obstructs the possibility to correct the model. There is therefore a need for transparency of machine learn...
1505.07395
Marko Horvat
Marko Horvat, Dujo Duvnjak, Davor Jug
GWAT: The Geneva Affective Picture Database WordNet Annotation Tool
5 pages, 3 figures. In the Proceedings of 38th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2015 (pp. 1403-1407)
null
null
null
cs.HC cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Geneva Affective Picture Database WordNet Annotation Tool (GWAT) is a user-friendly web application for manual annotation of pictures in Geneva Affective Picture Database (GAPED) with WordNet. The annotation tool has an intuitive interface which can be efficiently used with very little technical training. A singl...
[ { "created": "Wed, 27 May 2015 16:27:23 GMT", "version": "v1" }, { "created": "Fri, 30 Jun 2017 14:07:05 GMT", "version": "v2" } ]
2017-07-03
[ [ "Horvat", "Marko", "" ], [ "Duvnjak", "Dujo", "" ], [ "Jug", "Davor", "" ] ]
The Geneva Affective Picture Database WordNet Annotation Tool (GWAT) is a user-friendly web application for manual annotation of pictures in Geneva Affective Picture Database (GAPED) with WordNet. The annotation tool has an intuitive interface which can be efficiently used with very little technical training. A single ...
2105.02313
Lorenzo Natale
Lorenzo Natale and Chiara Bartolozzi and Francesco Nori and Giulio Sandini and Giorgio Metta
iCub
null
Humanoid Robotics: A Reference, Springer, 2017
10.1007/978-94-007-6046-2_21
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this chapter we describe the history and evolution of the iCub humanoid platform. We start by describing the first version as it was designed during the RobotCub EU project and illustrate how it evolved to become the platform that is adopted by more than 30 laboratories world wide. We complete the chapter by illus...
[ { "created": "Wed, 5 May 2021 20:34:25 GMT", "version": "v1" }, { "created": "Fri, 7 May 2021 09:52:28 GMT", "version": "v2" } ]
2021-08-25
[ [ "Natale", "Lorenzo", "" ], [ "Bartolozzi", "Chiara", "" ], [ "Nori", "Francesco", "" ], [ "Sandini", "Giulio", "" ], [ "Metta", "Giorgio", "" ] ]
In this chapter we describe the history and evolution of the iCub humanoid platform. We start by describing the first version as it was designed during the RobotCub EU project and illustrate how it evolved to become the platform that is adopted by more than 30 laboratories world wide. We complete the chapter by illustr...
2403.10744
Zhiyi Tan
Zhiyi Tan, Bingkun Bao
Game and Reference: Policy Combination Synthesis for Epidemic Prevention and Control
16 pages, single line, 7 figures, written with Springer conference template
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
In recent years, epidemic policy-making models are increasingly being used to provide reference for governors on prevention and control policies against catastrophic epidemics such as SARS, H1N1 and COVID-19. Existing studies are currently constrained by two issues: First, previous methods develop policies based on e...
[ { "created": "Sat, 16 Mar 2024 00:26:59 GMT", "version": "v1" } ]
2024-03-19
[ [ "Tan", "Zhiyi", "" ], [ "Bao", "Bingkun", "" ] ]
In recent years, epidemic policy-making models are increasingly being used to provide reference for governors on prevention and control policies against catastrophic epidemics such as SARS, H1N1 and COVID-19. Existing studies are currently constrained by two issues: First, previous methods develop policies based on eff...
2311.10119
Juan Vazquez-Rodriguez
Juan Vazquez-Rodriguez (M-PSI), Gr\'egoire Lefebvre, Julien Cumin, James L. Crowley (M-PSI)
Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition
null
Affective Computing and Intelligent Interaction (ACII), Sep 2023, Cambridge (MA), United States
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities. But what if some modalities are sometimes missing? To address this problem, we propose a novel Transformer-based architecture for recognizing valence and arousal in a time-continuous manner even ...
[ { "created": "Thu, 16 Nov 2023 09:22:48 GMT", "version": "v1" } ]
2023-11-20
[ [ "Vazquez-Rodriguez", "Juan", "", "M-PSI" ], [ "Lefebvre", "Grégoire", "", "M-PSI" ], [ "Cumin", "Julien", "", "M-PSI" ], [ "Crowley", "James L.", "", "M-PSI" ] ]
Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities. But what if some modalities are sometimes missing? To address this problem, we propose a novel Transformer-based architecture for recognizing valence and arousal in a time-continuous manner even wi...
2310.18451
Cong Qi
Cong Qi, Qin Liu, Kan Liu
Fusion of the Power from Citations: Enhance your Influence by Integrating Information from References
There is a problem in section 3
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Influence prediction plays a crucial role in the academic community. The amount of scholars' influence determines whether their work will be accepted by others. Most existing research focuses on predicting one paper's citation count after a period or identifying the most influential papers among the massive candidate...
[ { "created": "Fri, 27 Oct 2023 19:51:44 GMT", "version": "v1" }, { "created": "Tue, 25 Jun 2024 18:29:18 GMT", "version": "v2" } ]
2024-06-27
[ [ "Qi", "Cong", "" ], [ "Liu", "Qin", "" ], [ "Liu", "Kan", "" ] ]
Influence prediction plays a crucial role in the academic community. The amount of scholars' influence determines whether their work will be accepted by others. Most existing research focuses on predicting one paper's citation count after a period or identifying the most influential papers among the massive candidates,...
2405.06499
Haifa Alrdahi
Haifa Alrdahi and Riza Batista-Navarro
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks
accepted in the 10th Games and NLP 2024 workshop at LREC 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The chess domain is well-suited for creating an artificial intelligence (AI) system that mimics real-world challenges, including decision-making. Throughout the years, minimal attention has been paid to investigating insights derived from unstructured chess data sources. In this study, we examine the complicated rela...
[ { "created": "Fri, 10 May 2024 14:23:43 GMT", "version": "v1" } ]
2024-05-13
[ [ "Alrdahi", "Haifa", "" ], [ "Batista-Navarro", "Riza", "" ] ]
The chess domain is well-suited for creating an artificial intelligence (AI) system that mimics real-world challenges, including decision-making. Throughout the years, minimal attention has been paid to investigating insights derived from unstructured chess data sources. In this study, we examine the complicated relati...
2401.02960
Anton Ratnarajah Mr
Anton Jeran Ratnarajah, Sahani Goonetilleke, Dumindu Tissera, Kapilan Balagopalan, Ranga Rodrigo
Forensic Video Analytic Software
The Forensic Video Analytic Software demo video is available https://www.youtube.com/watch?v=vsZlYKQxSkE
null
null
null
cs.CR cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Law enforcement officials heavily depend on Forensic Video Analytic (FVA) Software in their evidence extraction process. However present-day FVA software are complex, time consuming, equipment dependent and expensive. Developing countries struggle to gain access to this gateway to a secure haven. The term forensic pe...
[ { "created": "Sun, 17 Sep 2023 18:02:43 GMT", "version": "v1" } ]
2024-01-09
[ [ "Ratnarajah", "Anton Jeran", "" ], [ "Goonetilleke", "Sahani", "" ], [ "Tissera", "Dumindu", "" ], [ "Balagopalan", "Kapilan", "" ], [ "Rodrigo", "Ranga", "" ] ]
Law enforcement officials heavily depend on Forensic Video Analytic (FVA) Software in their evidence extraction process. However present-day FVA software are complex, time consuming, equipment dependent and expensive. Developing countries struggle to gain access to this gateway to a secure haven. The term forensic pert...
1904.01293
Timo Stoffregen
Timo Stoffregen and Guillermo Gallego and Tom Drummond and Lindsay Kleeman and Davide Scaramuzza
Event-Based Motion Segmentation by Motion Compensation
When viewed in Acrobat Reader, several of the figures animate. Video: https://youtu.be/0q6ap_OSBAk
IEEE International Conference on Computer Vision 2019
10.1109/ICCV.2019.00734
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond resolution. Since events are caused by the apparent motion of objects, event-...
[ { "created": "Tue, 2 Apr 2019 08:51:01 GMT", "version": "v1" }, { "created": "Wed, 3 Apr 2019 07:21:56 GMT", "version": "v2" }, { "created": "Thu, 4 Apr 2019 08:16:50 GMT", "version": "v3" }, { "created": "Thu, 22 Aug 2019 23:15:45 GMT", "version": "v4" } ]
2022-07-08
[ [ "Stoffregen", "Timo", "" ], [ "Gallego", "Guillermo", "" ], [ "Drummond", "Tom", "" ], [ "Kleeman", "Lindsay", "" ], [ "Scaramuzza", "Davide", "" ] ]
In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond resolution. Since events are caused by the apparent motion of objects, event-ba...
2312.01301
David Hason Rudd
David Hason Rudd, Huan Huo, Md Rafiqul Islam, Guandong Xu
Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data
null
null
null
null
cs.LG cs.AI cs.CE cs.CV cs.HC
http://creativecommons.org/licenses/by/4.0/
In todays competitive landscape, businesses grapple with customer retention. Churn prediction models, although beneficial, often lack accuracy due to the reliance on a single data source. The intricate nature of human behavior and high dimensional customer data further complicate these efforts. To address these conce...
[ { "created": "Sun, 3 Dec 2023 06:28:55 GMT", "version": "v1" } ]
2023-12-19
[ [ "Rudd", "David Hason", "" ], [ "Huo", "Huan", "" ], [ "Islam", "Md Rafiqul", "" ], [ "Xu", "Guandong", "" ] ]
In todays competitive landscape, businesses grapple with customer retention. Churn prediction models, although beneficial, often lack accuracy due to the reliance on a single data source. The intricate nature of human behavior and high dimensional customer data further complicate these efforts. To address these concern...
2310.01382
Zhe Gan
Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
Compressing LLMs: The Truth is Rarely Pure and Never Simple
Accepted to ICLR 2024
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite their remarkable achievements, modern Large Language Models (LLMs) face exorbitant computational and memory footprints. Recently, several works have shown significant success in training-free and data-free compression (pruning and quantization) of LLMs that achieve 50 - 60% sparsity and reduce the bit width t...
[ { "created": "Mon, 2 Oct 2023 17:42:37 GMT", "version": "v1" }, { "created": "Sun, 17 Mar 2024 00:38:59 GMT", "version": "v2" } ]
2024-03-19
[ [ "Jaiswal", "Ajay", "" ], [ "Gan", "Zhe", "" ], [ "Du", "Xianzhi", "" ], [ "Zhang", "Bowen", "" ], [ "Wang", "Zhangyang", "" ], [ "Yang", "Yinfei", "" ] ]
Despite their remarkable achievements, modern Large Language Models (LLMs) face exorbitant computational and memory footprints. Recently, several works have shown significant success in training-free and data-free compression (pruning and quantization) of LLMs that achieve 50 - 60% sparsity and reduce the bit width to ...
2405.06482
Oscar Amador Molina
Elena Haller and Oscar Amador and Emil Nilsson
On RadCom channel capacity for V2V applications
Accepted in EMC Europe 2024
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/4.0/
The use of millimiter wave (mmWave) for communication and sensing purposes is one of the functions powered by Next Generation Vehicle-to-Anything (V2X) networks. The arrival of IEEE~802.11bd, which is able to operate in the 60 GHz band, opens the doors of Integrated Sensing and Communications (ISAC) to vehicular netw...
[ { "created": "Fri, 10 May 2024 14:00:41 GMT", "version": "v1" } ]
2024-05-13
[ [ "Haller", "Elena", "" ], [ "Amador", "Oscar", "" ], [ "Nilsson", "Emil", "" ] ]
The use of millimiter wave (mmWave) for communication and sensing purposes is one of the functions powered by Next Generation Vehicle-to-Anything (V2X) networks. The arrival of IEEE~802.11bd, which is able to operate in the 60 GHz band, opens the doors of Integrated Sensing and Communications (ISAC) to vehicular networ...
1412.6291
Maciej Wielgus
Maciek Wielgus
Perona-Malik equation and its numerical properties
My bachelor thesis, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 2010
null
null
null
cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work concerns the Perona-Malik equation, which plays essential role in image processing. The first part gives a survey of results on existance, uniqueness and stability of solutions, the second part introduces discretisations of equation and deals with an analysis of discrete problem. In the last part I present ...
[ { "created": "Fri, 19 Dec 2014 11:17:38 GMT", "version": "v1" } ]
2014-12-22
[ [ "Wielgus", "Maciek", "" ] ]
This work concerns the Perona-Malik equation, which plays essential role in image processing. The first part gives a survey of results on existance, uniqueness and stability of solutions, the second part introduces discretisations of equation and deals with an analysis of discrete problem. In the last part I present so...
2401.15668
Weifeng Liu
Weifeng Liu, Tianyi She, Jiawei Liu, Run Wang, Dongyu Yao, Ziyou Liang
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
The first two authors contributed equally to this work
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, DeepFake technology has achieved unprecedented success in high-quality video synthesis, whereas these methods also pose potential and severe security threats to humanity. DeepFake can be bifurcated into entertainment applications like face swapping and illicit uses such as lip-syncing fraud. However,...
[ { "created": "Sun, 28 Jan 2024 14:22:11 GMT", "version": "v1" } ]
2024-01-30
[ [ "Liu", "Weifeng", "" ], [ "She", "Tianyi", "" ], [ "Liu", "Jiawei", "" ], [ "Wang", "Run", "" ], [ "Yao", "Dongyu", "" ], [ "Liang", "Ziyou", "" ] ]
In recent years, DeepFake technology has achieved unprecedented success in high-quality video synthesis, whereas these methods also pose potential and severe security threats to humanity. DeepFake can be bifurcated into entertainment applications like face swapping and illicit uses such as lip-syncing fraud. However, l...
1709.06010
Surbhi Goel
Surbhi Goel and Adam Klivans
Learning Neural Networks with Two Nonlinear Layers in Polynomial Time
Changed title, included new results
null
null
null
cs.DS cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a polynomial-time algorithm for learning neural networks with one layer of sigmoids feeding into any Lipschitz, monotone activation function (e.g., sigmoid or ReLU). We make no assumptions on the structure of the network, and the algorithm succeeds with respect to {\em any} distribution on the unit ball in $n...
[ { "created": "Mon, 18 Sep 2017 15:36:06 GMT", "version": "v1" }, { "created": "Mon, 23 Oct 2017 17:29:51 GMT", "version": "v2" }, { "created": "Tue, 24 Oct 2017 17:14:38 GMT", "version": "v3" }, { "created": "Fri, 20 Apr 2018 20:16:02 GMT", "version": "v4" } ]
2018-04-24
[ [ "Goel", "Surbhi", "" ], [ "Klivans", "Adam", "" ] ]
We give a polynomial-time algorithm for learning neural networks with one layer of sigmoids feeding into any Lipschitz, monotone activation function (e.g., sigmoid or ReLU). We make no assumptions on the structure of the network, and the algorithm succeeds with respect to {\em any} distribution on the unit ball in $n$ ...
2206.07751
Yujia Zheng
Yujia Zheng, Ignavier Ng, Kun Zhang
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
NeurIPS 2022
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nonlinear independent component analysis (ICA) aims to recover the underlying independent latent sources from their observable nonlinear mixtures. How to make the nonlinear ICA model identifiable up to certain trivial indeterminacies is a long-standing problem in unsupervised learning. Recent breakthroughs reformulat...
[ { "created": "Wed, 15 Jun 2022 18:24:22 GMT", "version": "v1" }, { "created": "Sun, 16 Oct 2022 06:17:07 GMT", "version": "v2" }, { "created": "Wed, 15 Feb 2023 20:30:04 GMT", "version": "v3" }, { "created": "Thu, 1 Jun 2023 04:09:56 GMT", "version": "v4" }, { "cr...
2024-02-27
[ [ "Zheng", "Yujia", "" ], [ "Ng", "Ignavier", "" ], [ "Zhang", "Kun", "" ] ]
Nonlinear independent component analysis (ICA) aims to recover the underlying independent latent sources from their observable nonlinear mixtures. How to make the nonlinear ICA model identifiable up to certain trivial indeterminacies is a long-standing problem in unsupervised learning. Recent breakthroughs reformulate ...
2106.15931
Maximilian Hoffmann
Maximilian Hoffmann, Ralph Bergmann
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning
Accepted at the IJCAI-21 workshop on Deep Learning, Case-Based Reasoning, and AutoML: Present and Future Synergies
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Currently, Deep Learning (DL) components within a Case-Based Reasoning (CBR) application often lack the comprehensive integration of available domain knowledge. The trend within machine learning towards so-called Informed machine learning can help to overcome this limitation. In this paper, we therefore investigate t...
[ { "created": "Wed, 30 Jun 2021 09:31:58 GMT", "version": "v1" } ]
2021-07-01
[ [ "Hoffmann", "Maximilian", "" ], [ "Bergmann", "Ralph", "" ] ]
Currently, Deep Learning (DL) components within a Case-Based Reasoning (CBR) application often lack the comprehensive integration of available domain knowledge. The trend within machine learning towards so-called Informed machine learning can help to overcome this limitation. In this paper, we therefore investigate the...
2403.03512
Zhenghao Feng
Lu Wen, Zhenghao Feng, Yun Hou, Peng Wang, Xi Wu, Jiliu Zhou, Yan Wang
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
Published at ICASSP 2024
null
10.1109/ICASSP48485.2024.10447495
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semi-supervised learning is a sound measure to relieve the strict demand of abundant annotated datasets, especially for challenging multi-organ segmentation . However, most existing SSL methods predict pixels in a single image independently, ignoring the relations among images and categories. In this paper, we propos...
[ { "created": "Wed, 6 Mar 2024 07:39:33 GMT", "version": "v1" } ]
2024-05-09
[ [ "Wen", "Lu", "" ], [ "Feng", "Zhenghao", "" ], [ "Hou", "Yun", "" ], [ "Wang", "Peng", "" ], [ "Wu", "Xi", "" ], [ "Zhou", "Jiliu", "" ], [ "Wang", "Yan", "" ] ]
Semi-supervised learning is a sound measure to relieve the strict demand of abundant annotated datasets, especially for challenging multi-organ segmentation . However, most existing SSL methods predict pixels in a single image independently, ignoring the relations among images and categories. In this paper, we propose ...
2211.17214
Suhail Sherif
Arkadev Chattopadhyay, Nikhil S. Mande, Swagato Sanyal, Suhail Sherif
Lifting to Parity Decision Trees Via Stifling
null
null
10.4230/LIPIcs.ITCS.2023.33
null
cs.CC
http://creativecommons.org/licenses/by/4.0/
We show that the deterministic decision tree complexity of a (partial) function or relation $f$ lifts to the deterministic parity decision tree (PDT) size complexity of the composed function/relation $f \circ g$ as long as the gadget $g$ satisfies a property that we call stifling. We observe that several simple gadge...
[ { "created": "Wed, 30 Nov 2022 18:07:57 GMT", "version": "v1" } ]
2023-10-19
[ [ "Chattopadhyay", "Arkadev", "" ], [ "Mande", "Nikhil S.", "" ], [ "Sanyal", "Swagato", "" ], [ "Sherif", "Suhail", "" ] ]
We show that the deterministic decision tree complexity of a (partial) function or relation $f$ lifts to the deterministic parity decision tree (PDT) size complexity of the composed function/relation $f \circ g$ as long as the gadget $g$ satisfies a property that we call stifling. We observe that several simple gadgets...
2107.10454
Majid Farhadi
Majid Farhadi, Alejandro Toriello, Prasad Tetali
The Traveling Firefighter Problem
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
We introduce the $L_p$ Traveling Salesman Problem ($L_p$-TSP), given by an origin, a set of destinations, and underlying distances. The objective is to schedule a destination visit sequence for a traveler of unit speed to minimize the Minkowski $p$-norm of the resulting vector of visit/service times. For $p = \infty$...
[ { "created": "Thu, 22 Jul 2021 04:55:45 GMT", "version": "v1" } ]
2021-07-23
[ [ "Farhadi", "Majid", "" ], [ "Toriello", "Alejandro", "" ], [ "Tetali", "Prasad", "" ] ]
We introduce the $L_p$ Traveling Salesman Problem ($L_p$-TSP), given by an origin, a set of destinations, and underlying distances. The objective is to schedule a destination visit sequence for a traveler of unit speed to minimize the Minkowski $p$-norm of the resulting vector of visit/service times. For $p = \infty$ t...
2106.06060
Panayiotis Danassis
Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings
AI-driven Prices for Externalities and Sustainability in Production Markets
Accepted to the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
null
null
null
cs.MA cs.AI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional competitive markets do not account for negative externalities; indirect costs that some participants impose on others, such as the cost of over-appropriating a common-pool resource (which diminishes future stock, and thus harvest, for everyone). Quantifying appropriate interventions to market prices has p...
[ { "created": "Thu, 10 Jun 2021 21:26:17 GMT", "version": "v1" }, { "created": "Fri, 29 Apr 2022 10:47:40 GMT", "version": "v2" }, { "created": "Thu, 12 Jan 2023 20:46:31 GMT", "version": "v3" } ]
2023-01-16
[ [ "Danassis", "Panayiotis", "" ], [ "Filos-Ratsikas", "Aris", "" ], [ "Chen", "Haipeng", "" ], [ "Tambe", "Milind", "" ], [ "Faltings", "Boi", "" ] ]
Traditional competitive markets do not account for negative externalities; indirect costs that some participants impose on others, such as the cost of over-appropriating a common-pool resource (which diminishes future stock, and thus harvest, for everyone). Quantifying appropriate interventions to market prices has pro...
2407.08410
Robbie Holland
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip M\"uller, Hendrik P. N. Scholl, Hrvoje Bogunovi\'c, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten (on behalf of the PINNAC...
Specialist vision-language models for clinical ophthalmology
Submitted to Nature Medicine
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images and summarize their findings as text, have enormous potential to alleviate clinic...
[ { "created": "Thu, 11 Jul 2024 11:31:48 GMT", "version": "v1" } ]
2024-07-12
[ [ "Holland", "Robbie", "", "on\n behalf of the PINNACLE consortium" ], [ "Taylor", "Thomas R. P.", "", "on\n behalf of the PINNACLE consortium" ], [ "Holmes", "Christopher", "", "on\n behalf of the PINNACLE consortium" ], [ "Riedl", "Sophie", ...
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images and summarize their findings as text, have enormous potential to alleviate clinical...
2307.09203
Hermann Kroll
Hermann Kroll and Christin Katharina Kreutz and Mirjam Cuper and Bill Matthias Thang and Wolf-Tilo Balke
Aspect-Driven Structuring of Historical Dutch Newspaper Archives
TPDL2023, Full Paper, 16 pages
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
Digital libraries oftentimes provide access to historical newspaper archives via keyword-based search. Historical figures and their roles are particularly interesting cognitive access points in historical research. Structuring and clustering news articles would allow more sophisticated access for users to explore suc...
[ { "created": "Fri, 14 Jul 2023 05:56:31 GMT", "version": "v1" } ]
2023-07-19
[ [ "Kroll", "Hermann", "" ], [ "Kreutz", "Christin Katharina", "" ], [ "Cuper", "Mirjam", "" ], [ "Thang", "Bill Matthias", "" ], [ "Balke", "Wolf-Tilo", "" ] ]
Digital libraries oftentimes provide access to historical newspaper archives via keyword-based search. Historical figures and their roles are particularly interesting cognitive access points in historical research. Structuring and clustering news articles would allow more sophisticated access for users to explore such ...
2211.14314
Hailong Hu
J. Waghorne, C. Howard, H. Hu, J. Pang, W.J. Peveler, L. Harris, O. Barrera
The applicability of transperceptual and deep learning approaches to the study and mimicry of complex cartilaginous tissues
null
null
null
null
cs.CV cs.LG cs.SD eess.AS eess.IV physics.med-ph q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Complex soft tissues, for example the knee meniscus, play a crucial role in mobility and joint health, but when damaged are incredibly difficult to repair and replace. This is due to their highly hierarchical and porous nature which in turn leads to their unique mechanical properties. In order to design tissue substi...
[ { "created": "Mon, 21 Nov 2022 08:51:52 GMT", "version": "v1" } ]
2022-11-29
[ [ "Waghorne", "J.", "" ], [ "Howard", "C.", "" ], [ "Hu", "H.", "" ], [ "Pang", "J.", "" ], [ "Peveler", "W. J.", "" ], [ "Harris", "L.", "" ], [ "Barrera", "O.", "" ] ]
Complex soft tissues, for example the knee meniscus, play a crucial role in mobility and joint health, but when damaged are incredibly difficult to repair and replace. This is due to their highly hierarchical and porous nature which in turn leads to their unique mechanical properties. In order to design tissue substitu...
2307.04139
Ran Duan
Ran Duan, Jiayi Mao, Xinkai Shu, Longhui Yin
A Randomized Algorithm for Single-Source Shortest Path on Undirected Real-Weighted Graphs
17 pages
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In undirected graphs with real non-negative weights, we give a new randomized algorithm for the single-source shortest path (SSSP) problem with running time $O(m\sqrt{\log n \cdot \log\log n})$ in the comparison-addition model. This is the first algorithm to break the $O(m+n\log n)$ time bound for real-weighted spars...
[ { "created": "Sun, 9 Jul 2023 09:46:32 GMT", "version": "v1" }, { "created": "Wed, 4 Oct 2023 07:39:36 GMT", "version": "v2" } ]
2023-10-05
[ [ "Duan", "Ran", "" ], [ "Mao", "Jiayi", "" ], [ "Shu", "Xinkai", "" ], [ "Yin", "Longhui", "" ] ]
In undirected graphs with real non-negative weights, we give a new randomized algorithm for the single-source shortest path (SSSP) problem with running time $O(m\sqrt{\log n \cdot \log\log n})$ in the comparison-addition model. This is the first algorithm to break the $O(m+n\log n)$ time bound for real-weighted sparse ...
2202.07954
Hang Zhang
Hang Zhang, Su Yang, Hongyong Wang, zhongyan lu, helin sun
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Few researches have studied simultaneous detection of smoke and flame accompanying fires due to their different physical natures that lead to uncertain fluid patterns. In this study, we collect a large image data set to re-label them as a multi-label image classification problem so as to identify smoke and flame simu...
[ { "created": "Wed, 16 Feb 2022 09:48:03 GMT", "version": "v1" } ]
2022-02-17
[ [ "Zhang", "Hang", "" ], [ "Yang", "Su", "" ], [ "Wang", "Hongyong", "" ], [ "lu", "zhongyan", "" ], [ "sun", "helin", "" ] ]
Few researches have studied simultaneous detection of smoke and flame accompanying fires due to their different physical natures that lead to uncertain fluid patterns. In this study, we collect a large image data set to re-label them as a multi-label image classification problem so as to identify smoke and flame simult...
2311.10781
Hyundong Cho
Hyundong Cho, Shuai Liu, Taiwei Shi, Darpan Jain, Basem Rizk, Yuyang Huang, Zixun Lu, Nuan Wen, Jonathan Gratch, Emilio Ferrara, Jonathan May
Can Language Model Moderators Improve the Health of Online Discourse?
9 pages, NAACL 2024 Main
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Conversational moderation of online communities is crucial to maintaining civility for a constructive environment, but it is challenging to scale and harmful to moderators. The inclusion of sophisticated natural language generation modules as a force multiplier to aid human moderators is a tantalizing prospect, but a...
[ { "created": "Thu, 16 Nov 2023 11:14:22 GMT", "version": "v1" }, { "created": "Mon, 6 May 2024 17:44:12 GMT", "version": "v2" } ]
2024-05-07
[ [ "Cho", "Hyundong", "" ], [ "Liu", "Shuai", "" ], [ "Shi", "Taiwei", "" ], [ "Jain", "Darpan", "" ], [ "Rizk", "Basem", "" ], [ "Huang", "Yuyang", "" ], [ "Lu", "Zixun", "" ], [ "Wen", "Nuan", ...
Conversational moderation of online communities is crucial to maintaining civility for a constructive environment, but it is challenging to scale and harmful to moderators. The inclusion of sophisticated natural language generation modules as a force multiplier to aid human moderators is a tantalizing prospect, but ade...
2207.07528
Giordano D'Aloisio
Giordano d'Aloisio, Antinisca Di Marco and Giovanni Stilo (University of L'Aquila)
Modeling Quality and Machine Learning Pipelines through Extended Feature Models
null
null
null
null
cs.SE cs.LG
http://creativecommons.org/licenses/by/4.0/
The recently increased complexity of Machine Learning (ML) methods, led to the necessity to lighten both the research and industry development processes. ML pipelines have become an essential tool for experts of many domains, data scientists and researchers, allowing them to easily put together several ML models to c...
[ { "created": "Fri, 15 Jul 2022 15:20:28 GMT", "version": "v1" } ]
2022-07-18
[ [ "d'Aloisio", "Giordano", "", "University\n of L'Aquila" ], [ "Di Marco", "Antinisca", "", "University\n of L'Aquila" ], [ "Stilo", "Giovanni", "", "University\n of L'Aquila" ] ]
The recently increased complexity of Machine Learning (ML) methods, led to the necessity to lighten both the research and industry development processes. ML pipelines have become an essential tool for experts of many domains, data scientists and researchers, allowing them to easily put together several ML models to cov...
0912.1909
Emanuele Viterbo Prof
Saif Khan Mohammed, Emanuele Viterbo, Yi Hong, and Ananthanarayanan Chockalingam
MIMO Precoding with X- and Y-Codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a time division duplex (TDD) $n_t \times n_r$ multiple-input multiple-output (MIMO) system with channel state information (CSI) at both the transmitter and receiver. We propose X- and Y-Codes to achieve high multiplexing and diversity gains at low complexity. The proposed precoding schemes are based upon ...
[ { "created": "Thu, 10 Dec 2009 03:05:09 GMT", "version": "v1" } ]
2009-12-11
[ [ "Mohammed", "Saif Khan", "" ], [ "Viterbo", "Emanuele", "" ], [ "Hong", "Yi", "" ], [ "Chockalingam", "Ananthanarayanan", "" ] ]
We consider a time division duplex (TDD) $n_t \times n_r$ multiple-input multiple-output (MIMO) system with channel state information (CSI) at both the transmitter and receiver. We propose X- and Y-Codes to achieve high multiplexing and diversity gains at low complexity. The proposed precoding schemes are based upon th...
1703.08981
Xiong Zhang
Xuanhua Shi and Xiong Zhang and Ligang He and Hai Jin and Zhixiang Ke and Song Wu
MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems
9 pages, 7 figures
null
null
null
cs.DC
http://creativecommons.org/publicdomain/zero/1.0/
Although a data processing system often works as a batch processing system, many enterprises deploy such a system as a service, which we call the service-oriented data processing system. It has been shown that in-memory data processing systems suffer from serious memory pressure. The situation becomes even worse for ...
[ { "created": "Mon, 27 Mar 2017 09:23:52 GMT", "version": "v1" }, { "created": "Wed, 29 Mar 2017 11:28:43 GMT", "version": "v2" } ]
2017-03-30
[ [ "Shi", "Xuanhua", "" ], [ "Zhang", "Xiong", "" ], [ "He", "Ligang", "" ], [ "Jin", "Hai", "" ], [ "Ke", "Zhixiang", "" ], [ "Wu", "Song", "" ] ]
Although a data processing system often works as a batch processing system, many enterprises deploy such a system as a service, which we call the service-oriented data processing system. It has been shown that in-memory data processing systems suffer from serious memory pressure. The situation becomes even worse for th...
2101.04261
Bodo Rueckauer
Bodo Rueckauer, Connor Bybee, Ralf Goettsche, Yashwardhan Singh, Joyesh Mishra, Andreas Wild
NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi
null
null
null
null
cs.ET
http://creativecommons.org/licenses/by-nc-nd/4.0/
Spiking Neural Networks (SNNs) are a promising paradigm for efficient event-driven processing of spatio-temporally sparse data streams. SNNs have inspired the design and can take advantage of the emerging class of neuromorphic processors like Intel Loihi. These novel hardware architectures expose a variety of constra...
[ { "created": "Tue, 12 Jan 2021 02:03:59 GMT", "version": "v1" } ]
2021-01-13
[ [ "Rueckauer", "Bodo", "" ], [ "Bybee", "Connor", "" ], [ "Goettsche", "Ralf", "" ], [ "Singh", "Yashwardhan", "" ], [ "Mishra", "Joyesh", "" ], [ "Wild", "Andreas", "" ] ]
Spiking Neural Networks (SNNs) are a promising paradigm for efficient event-driven processing of spatio-temporally sparse data streams. SNNs have inspired the design and can take advantage of the emerging class of neuromorphic processors like Intel Loihi. These novel hardware architectures expose a variety of constrain...
1611.00020
Chen Liang
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
ACL 2017 camera ready version
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Harnessing the statistical power of neural networks to perform language understanding and symbolic reasoning is difficult, when it requires executing efficient discrete operations against a large knowledge-base. In this work, we introduce a Neural Symbolic Machine, which contains (a) a neural "programmer", i.e., a se...
[ { "created": "Mon, 31 Oct 2016 20:07:23 GMT", "version": "v1" }, { "created": "Wed, 2 Nov 2016 05:25:19 GMT", "version": "v2" }, { "created": "Thu, 3 Nov 2016 16:24:24 GMT", "version": "v3" }, { "created": "Sun, 23 Apr 2017 07:16:13 GMT", "version": "v4" } ]
2017-04-25
[ [ "Liang", "Chen", "" ], [ "Berant", "Jonathan", "" ], [ "Le", "Quoc", "" ], [ "Forbus", "Kenneth D.", "" ], [ "Lao", "Ni", "" ] ]
Harnessing the statistical power of neural networks to perform language understanding and symbolic reasoning is difficult, when it requires executing efficient discrete operations against a large knowledge-base. In this work, we introduce a Neural Symbolic Machine, which contains (a) a neural "programmer", i.e., a sequ...
2306.01213
Aneesh Komanduri
Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Accepted to IJCAI 2024
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Learning disentangled causal representations is a challenging problem that has gained significant attention recently due to its implications for extracting meaningful information for downstream tasks. In this work, we define a new notion of causal disentanglement from the perspective of independent causal mechanisms....
[ { "created": "Fri, 2 Jun 2023 00:28:48 GMT", "version": "v1" }, { "created": "Fri, 1 Dec 2023 17:51:46 GMT", "version": "v2" }, { "created": "Wed, 8 May 2024 20:08:35 GMT", "version": "v3" } ]
2024-05-10
[ [ "Komanduri", "Aneesh", "" ], [ "Wu", "Yongkai", "" ], [ "Chen", "Feng", "" ], [ "Wu", "Xintao", "" ] ]
Learning disentangled causal representations is a challenging problem that has gained significant attention recently due to its implications for extracting meaningful information for downstream tasks. In this work, we define a new notion of causal disentanglement from the perspective of independent causal mechanisms. W...
2107.00417
Daniel S. Katz
Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon Pierce, Michael Zentner
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications
null
null
10.1145/3311790.3400848
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The user-facing components of the Cyberinfrastructure (CI) ecosystem, science gateways and scientific workflow systems, share a common need of interfacing with physical resources (storage systems and execution environments) to manage data and execute codes (applications). However, there is no uniform, platform-indepe...
[ { "created": "Thu, 1 Jul 2021 13:00:05 GMT", "version": "v1" } ]
2021-07-02
[ [ "Stubbs", "Joe", "" ], [ "Marru", "Suresh", "" ], [ "Mejia", "Daniel", "" ], [ "Katz", "Daniel S.", "" ], [ "Chard", "Kyle", "" ], [ "Dahan", "Maytal", "" ], [ "Pierce", "Marlon", "" ], [ "Zentner",...
The user-facing components of the Cyberinfrastructure (CI) ecosystem, science gateways and scientific workflow systems, share a common need of interfacing with physical resources (storage systems and execution environments) to manage data and execute codes (applications). However, there is no uniform, platform-independ...
2101.05754
Delia Kesner
Eduardo Bonelli, Delia Kesner and Andr\'es Viso
A Strong Bisimulation for a Classical Term Calculus
arXiv admin note: text overlap with arXiv:1906.09370
Logical Methods in Computer Science, Volume 20, Issue 2 (April 18, 2024) lmcs:7089
10.46298/lmcs-20(2:4)2024
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
When translating a term calculus into a graphical formalism many inessential details are abstracted away. In the case of $\lambda$-calculus translated to proof-nets, these inessential details are captured by a notion of equivalence on $\lambda$-terms known as $\simeq_\sigma$-equivalence, in both the intuitionistic (d...
[ { "created": "Thu, 14 Jan 2021 17:54:22 GMT", "version": "v1" }, { "created": "Sun, 5 Sep 2021 13:32:59 GMT", "version": "v2" }, { "created": "Thu, 2 Feb 2023 19:30:35 GMT", "version": "v3" }, { "created": "Fri, 16 Jun 2023 15:09:59 GMT", "version": "v4" }, { "cre...
2024-08-07
[ [ "Bonelli", "Eduardo", "" ], [ "Kesner", "Delia", "" ], [ "Viso", "Andrés", "" ] ]
When translating a term calculus into a graphical formalism many inessential details are abstracted away. In the case of $\lambda$-calculus translated to proof-nets, these inessential details are captured by a notion of equivalence on $\lambda$-terms known as $\simeq_\sigma$-equivalence, in both the intuitionistic (due...
2108.03348
Md Shamim Hussain
Md Shamim Hussain, Mohammed J. Zaki and Dharmashankar Subramanian
Global Self-Attention as a Replacement for Graph Convolution
The accepted version in KDD '22
null
10.1145/3534678.3539296
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose an extension to the transformer neural network architecture for general-purpose graph learning by adding a dedicated pathway for pairwise structural information, called edge channels. The resultant framework - which we call Edge-augmented Graph Transformer (EGT) - can directly accept, process and output st...
[ { "created": "Sat, 7 Aug 2021 02:18:11 GMT", "version": "v1" }, { "created": "Mon, 13 Sep 2021 09:38:24 GMT", "version": "v2" }, { "created": "Fri, 3 Jun 2022 05:03:28 GMT", "version": "v3" } ]
2022-06-06
[ [ "Hussain", "Md Shamim", "" ], [ "Zaki", "Mohammed J.", "" ], [ "Subramanian", "Dharmashankar", "" ] ]
We propose an extension to the transformer neural network architecture for general-purpose graph learning by adding a dedicated pathway for pairwise structural information, called edge channels. The resultant framework - which we call Edge-augmented Graph Transformer (EGT) - can directly accept, process and output stru...
1904.05947
M\'arton V\'eges
M\'arton V\'eges, Andr\'as L\H{o}rincz
Absolute Human Pose Estimation with Depth Prediction Network
Accepted to IJCNN 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The common approach to 3D human pose estimation is predicting the body joint coordinates relative to the hip. This works well for a single person but is insufficient in the case of multiple interacting people. Methods predicting absolute coordinates first estimate a root-relative pose then calculate the translation v...
[ { "created": "Thu, 11 Apr 2019 20:26:37 GMT", "version": "v1" } ]
2019-04-15
[ [ "Véges", "Márton", "" ], [ "Lőrincz", "András", "" ] ]
The common approach to 3D human pose estimation is predicting the body joint coordinates relative to the hip. This works well for a single person but is insufficient in the case of multiple interacting people. Methods predicting absolute coordinates first estimate a root-relative pose then calculate the translation via...
2307.02927
Ricardo Brito
Alonso Rodriguez-Navarro and Ricardo Brito
Rank analysis of most cited publications, a new approach for research assessments
One PDF file, including figures and tables (30 pages)
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
Citation metrics are the best tools for research assessments. However, current metrics may be misleading in research systems that pursue simultaneously different goals, such as the advance of science and incremental innovations, because their publications have different citation distributions. We estimate the contrib...
[ { "created": "Thu, 6 Jul 2023 11:28:51 GMT", "version": "v1" }, { "created": "Tue, 26 Sep 2023 09:08:13 GMT", "version": "v2" } ]
2023-09-27
[ [ "Rodriguez-Navarro", "Alonso", "" ], [ "Brito", "Ricardo", "" ] ]
Citation metrics are the best tools for research assessments. However, current metrics may be misleading in research systems that pursue simultaneously different goals, such as the advance of science and incremental innovations, because their publications have different citation distributions. We estimate the contribut...
1406.7838
Mikolas Janota
Mikol\'a\v{s} Janota and Joao Marques-Silva
On Minimal Corrections in ASP
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a programming paradigm, answer set programming (ASP) brings about the usual issue of the human error. Hence, it is desirable to provide automated techniques that could help the programmer to find the error. This paper addresses the question of computing a subset-minimal correction of a contradictory ASP program. A...
[ { "created": "Mon, 30 Jun 2014 18:13:36 GMT", "version": "v1" } ]
2014-07-01
[ [ "Janota", "Mikoláš", "" ], [ "Marques-Silva", "Joao", "" ] ]
As a programming paradigm, answer set programming (ASP) brings about the usual issue of the human error. Hence, it is desirable to provide automated techniques that could help the programmer to find the error. This paper addresses the question of computing a subset-minimal correction of a contradictory ASP program. A c...
1807.07991
Oshani Seneviratne
Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, James P. McCusker, Kristin P. Bennett, James A. Hendler, and Deborah L. McGuinness
Knowledge Integration for Disease Characterization: A Breast Cancer Example
International Semantic Web Conference (Resource Track)
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges when physicians try to remain current. One example involves increasing usage of biomarkers when c...
[ { "created": "Fri, 20 Jul 2018 18:26:29 GMT", "version": "v1" } ]
2018-07-24
[ [ "Seneviratne", "Oshani", "" ], [ "Rashid", "Sabbir M.", "" ], [ "Chari", "Shruthi", "" ], [ "McCusker", "James P.", "" ], [ "Bennett", "Kristin P.", "" ], [ "Hendler", "James A.", "" ], [ "McGuinness", "Deborah...
With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges when physicians try to remain current. One example involves increasing usage of biomarkers when cha...
1708.01902
Vladimir Vovk
Vladimir Vovk
Universally consistent predictive distributions
26 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes simple universally consistent procedures of probability forecasting that satisfy a natural property of small-sample validity, under the assumption that the observations are produced independently in the IID fashion.
[ { "created": "Sun, 6 Aug 2017 15:28:37 GMT", "version": "v1" }, { "created": "Wed, 30 Aug 2017 12:06:15 GMT", "version": "v2" } ]
2017-08-31
[ [ "Vovk", "Vladimir", "" ] ]
This paper describes simple universally consistent procedures of probability forecasting that satisfy a natural property of small-sample validity, under the assumption that the observations are produced independently in the IID fashion.
2103.13031
Jakub Sido
Jakub Sido, Ond\v{r}ej Pra\v{z}\'ak, Pavel P\v{r}ib\'a\v{n}, Jan Pa\v{s}ek, Michal Sej\'ak, Miloslav Konop\'ik
Czert -- Czech BERT-like Model for Language Representation
13 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than 340K of sentences, which is 50 times more than multilingual models that include Czech data. We outperform the multilingual models on 9 ou...
[ { "created": "Wed, 24 Mar 2021 07:27:28 GMT", "version": "v1" }, { "created": "Thu, 13 May 2021 14:49:45 GMT", "version": "v2" }, { "created": "Fri, 20 Aug 2021 12:21:36 GMT", "version": "v3" } ]
2021-08-23
[ [ "Sido", "Jakub", "" ], [ "Pražák", "Ondřej", "" ], [ "Přibáň", "Pavel", "" ], [ "Pašek", "Jan", "" ], [ "Seják", "Michal", "" ], [ "Konopík", "Miloslav", "" ] ]
This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than 340K of sentences, which is 50 times more than multilingual models that include Czech data. We outperform the multilingual models on 9 out ...
1508.04333
Shouvick Mondal
Shouvick Mondal and Arko Banerjee
ESDF: Ensemble Selection using Diversity and Frequency
Conference: National Conference on Research Trends in Computer Science and Application (NCRTCSA-2014) Date: 8th February 2014 Organized by: Dept. of Computer Application, Siliguri Institute of Technology, India In Association With: Computer Society of India, Siliguri Chapter Technically Sponsored By: IEEE, Kolk...
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently ensemble selection for consensus clustering has emerged as a research problem in Machine Intelligence. Normally consensus clustering algorithms take into account the entire ensemble of clustering, where there is a tendency of generating a very large size ensemble before computing its consensus. One can avoid...
[ { "created": "Tue, 18 Aug 2015 14:43:57 GMT", "version": "v1" } ]
2015-08-19
[ [ "Mondal", "Shouvick", "" ], [ "Banerjee", "Arko", "" ] ]
Recently ensemble selection for consensus clustering has emerged as a research problem in Machine Intelligence. Normally consensus clustering algorithms take into account the entire ensemble of clustering, where there is a tendency of generating a very large size ensemble before computing its consensus. One can avoid c...
1704.01194
Harshala Gammulle Harshala Gammulle
Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition
Published as a conference paper at WACV 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we address the problem of human action recognition from video sequences. Inspired by the exemplary results obtained via automatic feature learning and deep learning approaches in computer vision, we focus our attention towards learning salient spatial features via a convolutional neural network (CNN) an...
[ { "created": "Tue, 4 Apr 2017 21:32:04 GMT", "version": "v1" } ]
2017-04-06
[ [ "Gammulle", "Harshala", "" ], [ "Denman", "Simon", "" ], [ "Sridharan", "Sridha", "" ], [ "Fookes", "Clinton", "" ] ]
In this paper we address the problem of human action recognition from video sequences. Inspired by the exemplary results obtained via automatic feature learning and deep learning approaches in computer vision, we focus our attention towards learning salient spatial features via a convolutional neural network (CNN) and ...
1710.07606
Douglas Guilbeault R.
Douglas Guilbeault, Joshua Becker, Damon Centola
Complex Contagions: A Decade in Review
null
null
null
null
cs.SI cs.MA physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the publication of 'Complex Contagions and the Weakness of Long Ties' in 2007, complex contagions have been studied across an enormous variety of social domains. In reviewing this decade of research, we discuss recent advancements in applied studies of complex contagions, particularly in the domains of health, ...
[ { "created": "Fri, 20 Oct 2017 16:59:49 GMT", "version": "v1" } ]
2017-10-23
[ [ "Guilbeault", "Douglas", "" ], [ "Becker", "Joshua", "" ], [ "Centola", "Damon", "" ] ]
Since the publication of 'Complex Contagions and the Weakness of Long Ties' in 2007, complex contagions have been studied across an enormous variety of social domains. In reviewing this decade of research, we discuss recent advancements in applied studies of complex contagions, particularly in the domains of health, in...
2205.06397
Srivatsa Kundurthy
Srivatsa Kundurthy
LANTERN-RD: Enabling Deep Learning for Mitigation of the Invasive Spotted Lanternfly
Under Review at IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop, 2022
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
The Spotted Lanternfly (SLF) is an invasive planthopper that threatens the local biodiversity and agricultural economy of regions such as the Northeastern United States and Japan. As researchers scramble to study the insect, there is a great potential for computer vision tasks such as detection, pose estimation, and ...
[ { "created": "Thu, 12 May 2022 23:37:29 GMT", "version": "v1" } ]
2022-05-16
[ [ "Kundurthy", "Srivatsa", "" ] ]
The Spotted Lanternfly (SLF) is an invasive planthopper that threatens the local biodiversity and agricultural economy of regions such as the Northeastern United States and Japan. As researchers scramble to study the insect, there is a great potential for computer vision tasks such as detection, pose estimation, and ac...
2304.06317
Oren Hecht
Yi-Jun Chang, Oren Hecht, Dean Leitersdorf
Universally Optimal Deterministic Broadcasting in the HYBRID Distributed Model
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In theoretical computer science, it is a common practice to show existential lower bounds for problems, meaning there is a family of pathological inputs on which no algorithm can do better. However, most inputs of interest can be solved much more efficiently, giving rise to the notion of universally optimal algorithm...
[ { "created": "Thu, 13 Apr 2023 07:55:23 GMT", "version": "v1" } ]
2023-04-14
[ [ "Chang", "Yi-Jun", "" ], [ "Hecht", "Oren", "" ], [ "Leitersdorf", "Dean", "" ] ]
In theoretical computer science, it is a common practice to show existential lower bounds for problems, meaning there is a family of pathological inputs on which no algorithm can do better. However, most inputs of interest can be solved much more efficiently, giving rise to the notion of universally optimal algorithms,...
2402.16717
Xiao Wang
Huijie Lv, Xiao Wang, Yuansen Zhang, Caishuang Huang, Shihan Dou, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
null
null
null
null
cs.CL cs.AI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial misuse, particularly through `jailbreaking' that circumvents a model's safety and ethical protocols, poses a significant challenge for Large Language Models (LLMs). This paper delves into the mechanisms behind such successful attacks, introducing a hypothesis for the safety mechanism of aligned LLMs: inte...
[ { "created": "Mon, 26 Feb 2024 16:35:59 GMT", "version": "v1" } ]
2024-02-27
[ [ "Lv", "Huijie", "" ], [ "Wang", "Xiao", "" ], [ "Zhang", "Yuansen", "" ], [ "Huang", "Caishuang", "" ], [ "Dou", "Shihan", "" ], [ "Ye", "Junjie", "" ], [ "Gui", "Tao", "" ], [ "Zhang", "Qi", ...
Adversarial misuse, particularly through `jailbreaking' that circumvents a model's safety and ethical protocols, poses a significant challenge for Large Language Models (LLMs). This paper delves into the mechanisms behind such successful attacks, introducing a hypothesis for the safety mechanism of aligned LLMs: intent...
1710.00568
Francesco Setti Ph.D.
Marco Godi, Paolo Rota, Francesco Setti
Indirect Match Highlights Detection with Deep Convolutional Neural Networks
"Social Signal Processing and Beyond" workshop, in conjunction with ICIAP 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Highlights in a sport video are usually referred as actions that stimulate excitement or attract attention of the audience. A big effort is spent in designing techniques which find automatically highlights, in order to automatize the otherwise manual editing process. Most of the state-of-the-art approaches try to sol...
[ { "created": "Mon, 2 Oct 2017 10:14:41 GMT", "version": "v1" } ]
2017-10-03
[ [ "Godi", "Marco", "" ], [ "Rota", "Paolo", "" ], [ "Setti", "Francesco", "" ] ]
Highlights in a sport video are usually referred as actions that stimulate excitement or attract attention of the audience. A big effort is spent in designing techniques which find automatically highlights, in order to automatize the otherwise manual editing process. Most of the state-of-the-art approaches try to solve...
2309.16014
Geri Skenderi
Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Preprint. Under Review
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Joint-Embedding Predictive Architectures (JEPAs) have recently emerged as a novel and powerful technique for self-supervised representation learning. They aim to learn an energy-based model by predicting the latent representation of a target signal y from the latent representation of a context signal x. JEPAs bypass ...
[ { "created": "Wed, 27 Sep 2023 20:42:02 GMT", "version": "v1" }, { "created": "Sun, 23 Jun 2024 09:31:04 GMT", "version": "v2" } ]
2024-06-25
[ [ "Skenderi", "Geri", "" ], [ "Li", "Hang", "" ], [ "Tang", "Jiliang", "" ], [ "Cristani", "Marco", "" ] ]
Joint-Embedding Predictive Architectures (JEPAs) have recently emerged as a novel and powerful technique for self-supervised representation learning. They aim to learn an energy-based model by predicting the latent representation of a target signal y from the latent representation of a context signal x. JEPAs bypass th...
1910.11741
Fabrizio Montesi
Lu\'is Cruz-Filipe, Fabrizio Montesi, Larisa Safina
Implementing choreography extraction
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Choreography extraction deals with the generation of a choreography (a global description of communication behaviour) from a set of local process behaviours. In this work, we implement a previously proposed theory for extraction and show that, in spite of its theoretical exponential complexity, it is usable in practi...
[ { "created": "Fri, 25 Oct 2019 14:09:45 GMT", "version": "v1" } ]
2019-10-28
[ [ "Cruz-Filipe", "Luís", "" ], [ "Montesi", "Fabrizio", "" ], [ "Safina", "Larisa", "" ] ]
Choreography extraction deals with the generation of a choreography (a global description of communication behaviour) from a set of local process behaviours. In this work, we implement a previously proposed theory for extraction and show that, in spite of its theoretical exponential complexity, it is usable in practice...