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2301.09325
Nhan-Phu Chung
Nhan-Phu Chung, Jaeseong Jeong, Namhun Koo and Soonhak Kwon
cc-differential uniformity, (almost) perfect cc-nonlinearity, and equivalences
18 pages. Comments welcome
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we introduce new notions $cc$-differential uniformity, $cc$-differential spectrum, PccN functions and APccN functions, and investigate their properties. We also introduce $c$-CCZ equivalence, $c$-EA equivalence, and $c1$-equivalence. We show that $c$-differential uniformity is invariant under $c1$-eq...
[ { "created": "Mon, 23 Jan 2023 09:01:20 GMT", "version": "v1" } ]
2023-01-24
[ [ "Chung", "Nhan-Phu", "" ], [ "Jeong", "Jaeseong", "" ], [ "Koo", "Namhun", "" ], [ "Kwon", "Soonhak", "" ] ]
In this article, we introduce new notions $cc$-differential uniformity, $cc$-differential spectrum, PccN functions and APccN functions, and investigate their properties. We also introduce $c$-CCZ equivalence, $c$-EA equivalence, and $c1$-equivalence. We show that $c$-differential uniformity is invariant under $c1$-equi...
1904.04187
Juraj Per\v{s}i\'c
Juraj Per\v{s}i\'c, Luka Petrovi\'c, Ivan Markovi\'c and Ivan Petrovi\'c
Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Perception is one of the key abilities of autonomous mobile robotic systems, which often relies on fusion of heterogeneous sensors. Although this heterogeneity presents a challenge for sensor calibration, it is also the main prospect for reliability and robustness of autonomous systems. In this paper, we propose a me...
[ { "created": "Mon, 8 Apr 2019 16:53:44 GMT", "version": "v1" } ]
2019-04-09
[ [ "Peršić", "Juraj", "" ], [ "Petrović", "Luka", "" ], [ "Marković", "Ivan", "" ], [ "Petrović", "Ivan", "" ] ]
Perception is one of the key abilities of autonomous mobile robotic systems, which often relies on fusion of heterogeneous sensors. Although this heterogeneity presents a challenge for sensor calibration, it is also the main prospect for reliability and robustness of autonomous systems. In this paper, we propose a meth...
1807.07389
Felix Diaz Hermida
F. D\'iaz-Hermida, Juan. C. Vidal
Fuzzy quantification for linguistic data analysis and data mining
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fuzzy quantification is a subtopic of fuzzy logic which deals with the modelling of the quantified expressions we can find in natural language. Fuzzy quantifiers have been successfully applied in several fields like fuzzy, control, fuzzy databases, information retrieval, natural language generation, etc. Their abilit...
[ { "created": "Thu, 19 Jul 2018 13:22:01 GMT", "version": "v1" } ]
2018-07-20
[ [ "Díaz-Hermida", "F.", "" ], [ "Vidal", "Juan. C.", "" ] ]
Fuzzy quantification is a subtopic of fuzzy logic which deals with the modelling of the quantified expressions we can find in natural language. Fuzzy quantifiers have been successfully applied in several fields like fuzzy, control, fuzzy databases, information retrieval, natural language generation, etc. Their ability ...
2401.04039
Nabajeet Barman
Nabajeet Barman, Maria G. Martini and Yuriy Reznik
Bj{\o}ntegaard Delta (BD): A Tutorial Overview of the Metric, Evolution, Challenges, and Recommendations
null
null
null
null
cs.MM cs.IT eess.IV math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
The Bj{\o}ntegaard Delta (BD) method proposed in 2001 has become a popular tool for comparing video codec compression efficiency. It was initially proposed to compute bitrate and quality differences between two Rate-Distortion curves using PSNR as a distortion metric. Over the years, many works have calculated and re...
[ { "created": "Mon, 8 Jan 2024 17:24:16 GMT", "version": "v1" } ]
2024-01-09
[ [ "Barman", "Nabajeet", "" ], [ "Martini", "Maria G.", "" ], [ "Reznik", "Yuriy", "" ] ]
The Bj{\o}ntegaard Delta (BD) method proposed in 2001 has become a popular tool for comparing video codec compression efficiency. It was initially proposed to compute bitrate and quality differences between two Rate-Distortion curves using PSNR as a distortion metric. Over the years, many works have calculated and repo...
1609.01203
L\'eopold Crestel
L\'eopold Crestel and Philippe Esling
Live Orchestral Piano, a system for real-time orchestral music generation
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces the first system for performing automatic orchestration based on a real-time piano input. We believe that it is possible to learn the underlying regularities existing between piano scores and their orchestrations by notorious composers, in order to automatically perform this task on novel piano ...
[ { "created": "Mon, 5 Sep 2016 15:58:11 GMT", "version": "v1" }, { "created": "Thu, 18 May 2017 14:15:30 GMT", "version": "v2" } ]
2017-05-19
[ [ "Crestel", "Léopold", "" ], [ "Esling", "Philippe", "" ] ]
This paper introduces the first system for performing automatic orchestration based on a real-time piano input. We believe that it is possible to learn the underlying regularities existing between piano scores and their orchestrations by notorious composers, in order to automatically perform this task on novel piano in...
2011.02879
Mehdi Khoshboresh-Masouleh
Mehdi Khoshboresh-Masouleh, Mohammad R. Saradjian
Robust building footprint extraction from big multi-sensor data using deep competition network
8 pages, 5 figures
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W18, 2019
10.5194/isprs-archives-XLII-4-W18-615-2019
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Building footprint extraction (BFE) from multi-sensor data such as optical images and light detection and ranging (LiDAR) point clouds is widely used in various fields of remote sensing applications. However, it is still challenging research topic due to relatively inefficient building extraction techniques from vari...
[ { "created": "Wed, 4 Nov 2020 09:04:38 GMT", "version": "v1" }, { "created": "Mon, 16 Nov 2020 09:11:12 GMT", "version": "v2" }, { "created": "Sat, 28 Nov 2020 13:06:36 GMT", "version": "v3" } ]
2020-12-01
[ [ "Khoshboresh-Masouleh", "Mehdi", "" ], [ "Saradjian", "Mohammad R.", "" ] ]
Building footprint extraction (BFE) from multi-sensor data such as optical images and light detection and ranging (LiDAR) point clouds is widely used in various fields of remote sensing applications. However, it is still challenging research topic due to relatively inefficient building extraction techniques from variet...
2303.17805
Sebastian Neumayer
Sebastian Neumayer and L\'ena\"ic Chizat and Michael Unser
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
null
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In supervised learning, the regularization path is sometimes used as a convenient theoretical proxy for the optimization path of gradient descent initialized from zero. In this paper, we study a modification of the regularization path for infinite-width 2-layer ReLU neural networks with nonzero initial distribution o...
[ { "created": "Fri, 31 Mar 2023 05:32:11 GMT", "version": "v1" }, { "created": "Wed, 9 Aug 2023 07:24:44 GMT", "version": "v2" } ]
2023-08-10
[ [ "Neumayer", "Sebastian", "" ], [ "Chizat", "Lénaïc", "" ], [ "Unser", "Michael", "" ] ]
In supervised learning, the regularization path is sometimes used as a convenient theoretical proxy for the optimization path of gradient descent initialized from zero. In this paper, we study a modification of the regularization path for infinite-width 2-layer ReLU neural networks with nonzero initial distribution of ...
2404.16000
Stefano Woerner
Stefano Woerner, Arthur Jaques and Christian F. Baumgartner
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
While the field of medical image analysis has undergone a transformative shift with the integration of machine learning techniques, the main challenge of these techniques is often the scarcity of large, diverse, and well-annotated datasets. Medical images vary in format, size, and other parameters and therefore requi...
[ { "created": "Wed, 24 Apr 2024 17:27:57 GMT", "version": "v1" } ]
2024-04-25
[ [ "Woerner", "Stefano", "" ], [ "Jaques", "Arthur", "" ], [ "Baumgartner", "Christian F.", "" ] ]
While the field of medical image analysis has undergone a transformative shift with the integration of machine learning techniques, the main challenge of these techniques is often the scarcity of large, diverse, and well-annotated datasets. Medical images vary in format, size, and other parameters and therefore require...
2112.07339
Nicolae Paladi
Jakob Svenningsson, Nicolae Paladi, Arash Vahidi
Speeding up enclave transitions for IO-intensive applications
null
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Process-based confidential computing enclaves such as Intel SGX can be used to protect the confidentiality and integrity of workloads, without the overhead of virtualisation. However, they introduce a notable performance overhead, especially when it comes to transitions in and out of the enclave context. Such overhea...
[ { "created": "Tue, 14 Dec 2021 12:54:36 GMT", "version": "v1" } ]
2021-12-15
[ [ "Svenningsson", "Jakob", "" ], [ "Paladi", "Nicolae", "" ], [ "Vahidi", "Arash", "" ] ]
Process-based confidential computing enclaves such as Intel SGX can be used to protect the confidentiality and integrity of workloads, without the overhead of virtualisation. However, they introduce a notable performance overhead, especially when it comes to transitions in and out of the enclave context. Such overhead ...
2202.00817
Hyung Ju Suh
H.J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake
Do Differentiable Simulators Give Better Policy Gradients?
Accepted to ICML 2022
ICML 2022
null
null
cs.LG cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Differentiable simulators promise faster computation time for reinforcement learning by replacing zeroth-order gradient estimates of a stochastic objective with an estimate based on first-order gradients. However, it is yet unclear what factors decide the performance of the two estimators on complex landscapes that i...
[ { "created": "Wed, 2 Feb 2022 00:12:28 GMT", "version": "v1" }, { "created": "Mon, 22 Aug 2022 14:33:02 GMT", "version": "v2" } ]
2022-08-23
[ [ "Suh", "H. J. Terry", "" ], [ "Simchowitz", "Max", "" ], [ "Zhang", "Kaiqing", "" ], [ "Tedrake", "Russ", "" ] ]
Differentiable simulators promise faster computation time for reinforcement learning by replacing zeroth-order gradient estimates of a stochastic objective with an estimate based on first-order gradients. However, it is yet unclear what factors decide the performance of the two estimators on complex landscapes that inv...
1905.01966
Amirreza Shirani
Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio and Amin Alipour
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
null
AAAI 2019 Reasoning for Complex Question Answering Workshop
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Domain-specific community question answering is becoming an integral part of professions. Finding related questions and answers in these communities can significantly improve the effectiveness and efficiency of information seeking. Stack Overflow is one of the most popular communities that is being used by millions o...
[ { "created": "Fri, 3 May 2019 01:45:50 GMT", "version": "v1" }, { "created": "Tue, 7 May 2019 15:35:32 GMT", "version": "v2" } ]
2019-05-08
[ [ "Shirani", "Amirreza", "" ], [ "Xu", "Bowen", "" ], [ "Lo", "David", "" ], [ "Solorio", "Thamar", "" ], [ "Alipour", "Amin", "" ] ]
Domain-specific community question answering is becoming an integral part of professions. Finding related questions and answers in these communities can significantly improve the effectiveness and efficiency of information seeking. Stack Overflow is one of the most popular communities that is being used by millions of ...
2103.05248
Mo Zhou
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua
Practical Relative Order Attack in Deep Ranking
ICCV2021 Poster
null
null
null
cs.LG cs.CV cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies unveil the vulnerabilities of deep ranking models, where an imperceptible perturbation can trigger dramatic changes in the ranking result. While previous attempts focus on manipulating absolute ranks of certain candidates, the possibility of adjusting their relative order remains under-explored. In thi...
[ { "created": "Tue, 9 Mar 2021 06:41:18 GMT", "version": "v1" }, { "created": "Wed, 17 Mar 2021 01:16:13 GMT", "version": "v2" }, { "created": "Sat, 20 Mar 2021 12:18:44 GMT", "version": "v3" }, { "created": "Mon, 9 Aug 2021 15:54:56 GMT", "version": "v4" } ]
2021-08-10
[ [ "Zhou", "Mo", "" ], [ "Wang", "Le", "" ], [ "Niu", "Zhenxing", "" ], [ "Zhang", "Qilin", "" ], [ "Xu", "Yinghui", "" ], [ "Zheng", "Nanning", "" ], [ "Hua", "Gang", "" ] ]
Recent studies unveil the vulnerabilities of deep ranking models, where an imperceptible perturbation can trigger dramatic changes in the ranking result. While previous attempts focus on manipulating absolute ranks of certain candidates, the possibility of adjusting their relative order remains under-explored. In this ...
2210.03731
Sheng-Chun Kao
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Demystifying Map Space Exploration for NPUs
null
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
Map Space Exploration is the problem of finding optimized mappings of a Deep Neural Network (DNN) model on an accelerator. It is known to be extremely computationally expensive, and there has been active research looking at both heuristics and learning-based methods to make the problem computationally tractable. Howe...
[ { "created": "Fri, 7 Oct 2022 17:58:45 GMT", "version": "v1" } ]
2022-10-10
[ [ "Kao", "Sheng-Chun", "" ], [ "Parashar", "Angshuman", "" ], [ "Tsai", "Po-An", "" ], [ "Krishna", "Tushar", "" ] ]
Map Space Exploration is the problem of finding optimized mappings of a Deep Neural Network (DNN) model on an accelerator. It is known to be extremely computationally expensive, and there has been active research looking at both heuristics and learning-based methods to make the problem computationally tractable. Howeve...
1710.01363
Carl Yang
Carl Yang and Kevin Chen-Chuan Chang
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
On social networks, while nodes bear rich attributes, we often lack the `semantics' of why each link is formed-- and thus we are missing the `road signs' to navigate and organize the complex social universe. How to identify relationship semantics without labels? Founded on the prevalent homophily principle, we propos...
[ { "created": "Tue, 3 Oct 2017 19:46:48 GMT", "version": "v1" } ]
2017-10-05
[ [ "Yang", "Carl", "" ], [ "Chang", "Kevin Chen-Chuan", "" ] ]
On social networks, while nodes bear rich attributes, we often lack the `semantics' of why each link is formed-- and thus we are missing the `road signs' to navigate and organize the complex social universe. How to identify relationship semantics without labels? Founded on the prevalent homophily principle, we propose ...
2109.10161
Yi Fang
Mengxi Wu, Hao Huang, Yi Fang
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation
11 page, 5 figures
null
10.1109/ICPR56361.2022.9956045
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the popularity of 3D sensors in self-driving and other robotics applications, extensive research has focused on designing novel neural network architectures for accurate 3D point cloud completion. However, unlike in point cloud classification and reconstruction, the role of adversarial samples in3D point cloud c...
[ { "created": "Tue, 21 Sep 2021 13:16:46 GMT", "version": "v1" } ]
2023-01-24
[ [ "Wu", "Mengxi", "" ], [ "Huang", "Hao", "" ], [ "Fang", "Yi", "" ] ]
With the popularity of 3D sensors in self-driving and other robotics applications, extensive research has focused on designing novel neural network architectures for accurate 3D point cloud completion. However, unlike in point cloud classification and reconstruction, the role of adversarial samples in3D point cloud com...
2206.13964
Chao Fan
Chao Fan, Saihui Hou, Jilong Wang, Yongzhen Huang, and Shiqi Yu
Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Gait depicts individuals' unique and distinguishing walking patterns and has become one of the most promising biometric features for human identification. As a fine-grained recognition task, gait recognition is easily affected by many factors and usually requires a large amount of completely annotated data that is co...
[ { "created": "Tue, 28 Jun 2022 12:33:42 GMT", "version": "v1" }, { "created": "Mon, 4 Sep 2023 07:12:45 GMT", "version": "v2" } ]
2023-09-06
[ [ "Fan", "Chao", "" ], [ "Hou", "Saihui", "" ], [ "Wang", "Jilong", "" ], [ "Huang", "Yongzhen", "" ], [ "Yu", "Shiqi", "" ] ]
Gait depicts individuals' unique and distinguishing walking patterns and has become one of the most promising biometric features for human identification. As a fine-grained recognition task, gait recognition is easily affected by many factors and usually requires a large amount of completely annotated data that is cost...
2309.13614
Zenan Li
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
null
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Learning-based vehicle planning is receiving increasing attention with the emergence of diverse driving simulators and large-scale driving datasets. While offline reinforcement learning (RL) is well suited for these safety-critical tasks, it still struggles to plan over extended periods. In this work, we present a sk...
[ { "created": "Sun, 24 Sep 2023 11:51:17 GMT", "version": "v1" }, { "created": "Fri, 17 Nov 2023 05:44:54 GMT", "version": "v2" } ]
2023-11-20
[ [ "Li", "Zenan", "" ], [ "Nie", "Fan", "" ], [ "Sun", "Qiao", "" ], [ "Da", "Fang", "" ], [ "Zhao", "Hang", "" ] ]
Learning-based vehicle planning is receiving increasing attention with the emergence of diverse driving simulators and large-scale driving datasets. While offline reinforcement learning (RL) is well suited for these safety-critical tasks, it still struggles to plan over extended periods. In this work, we present a skil...
2108.07789
Xianrui Zheng
Xianrui Zheng, Chao Zhang and Philip C. Woodland
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition
To appear in ASRU 2021
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Language models (LMs) pre-trained on massive amounts of text, in particular bidirectional encoder representations from Transformers (BERT), generative pre-training (GPT), and GPT-2, have become a key technology for many natural language processing tasks. In this paper, we present results using fine-tuned GPT, GPT-2, ...
[ { "created": "Thu, 29 Jul 2021 16:53:37 GMT", "version": "v1" }, { "created": "Fri, 1 Oct 2021 14:19:39 GMT", "version": "v2" } ]
2021-10-04
[ [ "Zheng", "Xianrui", "" ], [ "Zhang", "Chao", "" ], [ "Woodland", "Philip C.", "" ] ]
Language models (LMs) pre-trained on massive amounts of text, in particular bidirectional encoder representations from Transformers (BERT), generative pre-training (GPT), and GPT-2, have become a key technology for many natural language processing tasks. In this paper, we present results using fine-tuned GPT, GPT-2, an...
2402.09410
Asad Khaliq
Asad Khaliq
On Computability of Computable Problems
18 Pages,5 figures, and 1 table
null
null
null
cs.CC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Computational problems are classified into computable and uncomputable problems.If there exists an effective procedure (algorithm) to compute a problem then the problem is computable otherwise it is uncomputable.Turing machines can execute any algorithm therefore every computable problem is Turing computable.There ar...
[ { "created": "Wed, 13 Dec 2023 18:02:12 GMT", "version": "v1" }, { "created": "Fri, 16 Feb 2024 18:15:18 GMT", "version": "v2" } ]
2024-02-19
[ [ "Khaliq", "Asad", "" ] ]
Computational problems are classified into computable and uncomputable problems.If there exists an effective procedure (algorithm) to compute a problem then the problem is computable otherwise it is uncomputable.Turing machines can execute any algorithm therefore every computable problem is Turing computable.There are ...
2406.08124
Duanyu Feng
Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei
Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
Our code is available at https://github.com/colfeng/Legend
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The success of the reward model in distinguishing between responses with subtle safety differences depends critically on the high-quality preference dataset, which should capture the fine-grained nuances of harmful and harmless responses. This motivates the need to develop a dataset involving preference margins, whic...
[ { "created": "Wed, 12 Jun 2024 12:06:32 GMT", "version": "v1" } ]
2024-06-13
[ [ "Feng", "Duanyu", "" ], [ "Qin", "Bowen", "" ], [ "Huang", "Chen", "" ], [ "Huang", "Youcheng", "" ], [ "Zhang", "Zheng", "" ], [ "Lei", "Wenqiang", "" ] ]
The success of the reward model in distinguishing between responses with subtle safety differences depends critically on the high-quality preference dataset, which should capture the fine-grained nuances of harmful and harmless responses. This motivates the need to develop a dataset involving preference margins, which ...
2003.10585
Pietro Verzelli
Pietro Verzelli and Cesare Alippi and Lorenzo Livi and Peter Tino
Input-to-State Representation in linear reservoirs dynamics
null
null
null
null
cs.NE cs.LG math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reservoir computing is a popular approach to design recurrent neural networks, due to its training simplicity and approximation performance. The recurrent part of these networks is not trained (e.g., via gradient descent), making them appealing for analytical studies by a large community of researchers with backgroun...
[ { "created": "Tue, 24 Mar 2020 00:14:25 GMT", "version": "v1" }, { "created": "Tue, 5 Jan 2021 23:22:16 GMT", "version": "v2" }, { "created": "Fri, 12 Feb 2021 14:29:49 GMT", "version": "v3" } ]
2021-02-15
[ [ "Verzelli", "Pietro", "" ], [ "Alippi", "Cesare", "" ], [ "Livi", "Lorenzo", "" ], [ "Tino", "Peter", "" ] ]
Reservoir computing is a popular approach to design recurrent neural networks, due to its training simplicity and approximation performance. The recurrent part of these networks is not trained (e.g., via gradient descent), making them appealing for analytical studies by a large community of researchers with backgrounds...
2308.02870
Fangyuan Wang
Fangyuan Wang, Ming Hao, Yuhai Shi, Bo Xu
ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging
null
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The conventional recipe for Automatic Speech Recognition (ASR) models is to 1) train multiple checkpoints on a training set while relying on a validation set to prevent overfitting using early stopping and 2) average several last checkpoints or that of the lowest validation losses to obtain the final model. In this p...
[ { "created": "Sat, 5 Aug 2023 12:50:54 GMT", "version": "v1" } ]
2023-08-08
[ [ "Wang", "Fangyuan", "" ], [ "Hao", "Ming", "" ], [ "Shi", "Yuhai", "" ], [ "Xu", "Bo", "" ] ]
The conventional recipe for Automatic Speech Recognition (ASR) models is to 1) train multiple checkpoints on a training set while relying on a validation set to prevent overfitting using early stopping and 2) average several last checkpoints or that of the lowest validation losses to obtain the final model. In this pap...
1502.04820
Tanmoy Maitra
Tanmoy Maitra
Cryptanalysis of A Secure Remote User Authentication Scheme Using Smart Cards
4 pages, no figure, fresh submission
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart card based authentication schemes are used in various fields like e-banking, e-commerce, wireless sensor networks, medical system and so on to authenticate the both remote user and the application server during the communication via internet. Recently, Karuppiah and Saravanan proposed an authentication scheme w...
[ { "created": "Tue, 17 Feb 2015 07:55:50 GMT", "version": "v1" } ]
2015-02-18
[ [ "Maitra", "Tanmoy", "" ] ]
Smart card based authentication schemes are used in various fields like e-banking, e-commerce, wireless sensor networks, medical system and so on to authenticate the both remote user and the application server during the communication via internet. Recently, Karuppiah and Saravanan proposed an authentication scheme whi...
2303.14404
Muhammad Akhtar Munir
Muhammad Akhtar Munir and Muhammad Haris Khan and Salman Khan and Fahad Shahbaz Khan
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Accepted at CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Deep neural networks (DNNs) have enabled astounding progress in several vision-based problems. Despite showing high predictive accuracy, recently, several works have revealed that they tend to provide overconfident predictions and thus are poorly calibrated. The majority of the works addressing the miscalibration of ...
[ { "created": "Sat, 25 Mar 2023 08:56:21 GMT", "version": "v1" } ]
2023-03-28
[ [ "Munir", "Muhammad Akhtar", "" ], [ "Khan", "Muhammad Haris", "" ], [ "Khan", "Salman", "" ], [ "Khan", "Fahad Shahbaz", "" ] ]
Deep neural networks (DNNs) have enabled astounding progress in several vision-based problems. Despite showing high predictive accuracy, recently, several works have revealed that they tend to provide overconfident predictions and thus are poorly calibrated. The majority of the works addressing the miscalibration of DN...
2112.12054
Chennakesava Kadapa
Chennakesava Kadapa
Machine Learning for Computational Science and Engineering -- a brief introduction and some critical questions
16 papges
null
null
null
cs.LG cs.CE physics.comp-ph
http://creativecommons.org/licenses/by/4.0/
Artificial Intelligence (AI) is now entering every sub-field of science, technology, engineering, arts, and management. Thanks to the hype and availability of research funds, it is being adapted in many fields without much thought. Computational Science and Engineering (CS&E) is one such sub-field. By highlighting so...
[ { "created": "Wed, 22 Dec 2021 17:25:32 GMT", "version": "v1" } ]
2021-12-23
[ [ "Kadapa", "Chennakesava", "" ] ]
Artificial Intelligence (AI) is now entering every sub-field of science, technology, engineering, arts, and management. Thanks to the hype and availability of research funds, it is being adapted in many fields without much thought. Computational Science and Engineering (CS&E) is one such sub-field. By highlighting some...
2202.02177
Jakub Nawa{\l}a
Jakub Nawa{\l}a (1), Lucjan Janowski (1), Bogdan \'Cmiel (2), Krzysztof Rusek (1), Pablo P\'erez (3) ((1) AGH University of Science and Technology, Institute of Telecommunications, (2) AGH University of Science and Technology, Department of Mathematical Analysis, Computational Mathematics and Probability Method...
Generalised Score Distribution: A Two-Parameter Discrete Distribution Accurately Describing Responses from Quality of Experience Subjective Experiments
15 pages, 6 figures. Under review in IEEE Transactions on Multimedia
IEEE Transactions on Multimedia, 2022
10.1109/TMM.2022.3205444
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
Subjective responses from Multimedia Quality Assessment (MQA) experiments are conventionally analysed with methods not suitable for the data type these responses represent. Furthermore, obtaining subjective responses is resource intensive. A method allowing reuse of existing responses would be thus beneficial. Applyi...
[ { "created": "Fri, 4 Feb 2022 15:11:24 GMT", "version": "v1" } ]
2022-10-07
[ [ "Nawała", "Jakub", "" ], [ "Janowski", "Lucjan", "" ], [ "Ćmiel", "Bogdan", "" ], [ "Rusek", "Krzysztof", "" ], [ "Pérez", "Pablo", "" ] ]
Subjective responses from Multimedia Quality Assessment (MQA) experiments are conventionally analysed with methods not suitable for the data type these responses represent. Furthermore, obtaining subjective responses is resource intensive. A method allowing reuse of existing responses would be thus beneficial. Applying...
2307.10273
Cl\'ement Canonne
Cl\'ement L. Canonne, Samuel B. Hopkins, Jerry Li, Allen Liu, and Shyam Narayanan
The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination
To appear in FOCS 2023
null
null
null
cs.DS math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the question of Gaussian mean testing, a fundamental task in high-dimensional distribution testing and signal processing, subject to adversarial corruptions of the samples. We focus on the relative power of different adversaries, and show that, in contrast to the common wisdom in robust statistics, there ...
[ { "created": "Tue, 18 Jul 2023 05:02:54 GMT", "version": "v1" } ]
2023-07-21
[ [ "Canonne", "Clément L.", "" ], [ "Hopkins", "Samuel B.", "" ], [ "Li", "Jerry", "" ], [ "Liu", "Allen", "" ], [ "Narayanan", "Shyam", "" ] ]
We consider the question of Gaussian mean testing, a fundamental task in high-dimensional distribution testing and signal processing, subject to adversarial corruptions of the samples. We focus on the relative power of different adversaries, and show that, in contrast to the common wisdom in robust statistics, there ex...
2310.13298
Milad Abolpour
Milad Abolpour, MohammadJavad Salehi, and Antti T\"olli
Cache-Aided Communications in MISO Networks with Dynamic User Behavior
Accepted in IEEE Transaction On Wireless Communications, 2024. arXiv admin note: substantial text overlap with arXiv:2304.11623
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Coded caching (CC) can substantially enhance network performance by leveraging memory as an additional communication resource. However, the use of CC is challenging in various practical applications due to dynamic user behavior. The existing solutions, based on shared caching, cannot directly handle all scenarios whe...
[ { "created": "Fri, 20 Oct 2023 06:17:39 GMT", "version": "v1" }, { "created": "Mon, 6 May 2024 09:13:09 GMT", "version": "v2" } ]
2024-05-07
[ [ "Abolpour", "Milad", "" ], [ "Salehi", "MohammadJavad", "" ], [ "Tölli", "Antti", "" ] ]
Coded caching (CC) can substantially enhance network performance by leveraging memory as an additional communication resource. However, the use of CC is challenging in various practical applications due to dynamic user behavior. The existing solutions, based on shared caching, cannot directly handle all scenarios where...
2004.01909
Jimmy Lin
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an empirical study of conversational question reformulation (CQR) with sequence-to-sequence architectures and pretrained language models (PLMs). We leverage PLMs to address the strong token-to-token independence assumption made in the common objective, maximum likelihood estimation, for the CQR ta...
[ { "created": "Sat, 4 Apr 2020 11:07:54 GMT", "version": "v1" } ]
2020-04-07
[ [ "Lin", "Sheng-Chieh", "" ], [ "Yang", "Jheng-Hong", "" ], [ "Nogueira", "Rodrigo", "" ], [ "Tsai", "Ming-Feng", "" ], [ "Wang", "Chuan-Ju", "" ], [ "Lin", "Jimmy", "" ] ]
This paper presents an empirical study of conversational question reformulation (CQR) with sequence-to-sequence architectures and pretrained language models (PLMs). We leverage PLMs to address the strong token-to-token independence assumption made in the common objective, maximum likelihood estimation, for the CQR task...
2406.03439
Joachim Ott
Joachim Ott, Zuowen Wang, Shih-Chii Liu
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event cameras are advantageous for tasks that require vision sensors with low-latency and sparse output responses. However, the development of deep network algorithms using event cameras has been slow because of the lack of large labelled event camera datasets for network training. This paper reports a method for cre...
[ { "created": "Wed, 5 Jun 2024 16:34:12 GMT", "version": "v1" } ]
2024-06-06
[ [ "Ott", "Joachim", "" ], [ "Wang", "Zuowen", "" ], [ "Liu", "Shih-Chii", "" ] ]
Event cameras are advantageous for tasks that require vision sensors with low-latency and sparse output responses. However, the development of deep network algorithms using event cameras has been slow because of the lack of large labelled event camera datasets for network training. This paper reports a method for creat...
2004.01030
Lachlan Kermode
Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, and Julien Cornebise
Objects of violence: synthetic data for practical ML in human rights investigations
Presented at NeurIPS 2019 in the AI for Social Good track
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a machine learning workflow to search for, identify, and meaningfully triage videos and images of munitions, weapons, and military equipment, even when limited training data exists for the object of interest. This workflow is designed to expedite the work of OSINT ("open source intelligence") researchers...
[ { "created": "Wed, 1 Apr 2020 14:50:43 GMT", "version": "v1" } ]
2020-04-03
[ [ "Kermode", "Lachlan", "" ], [ "Freyberg", "Jan", "" ], [ "Akturk", "Alican", "" ], [ "Trafford", "Robert", "" ], [ "Kochetkov", "Denis", "" ], [ "Pardinas", "Rafael", "" ], [ "Weizman", "Eyal", "" ], [ ...
We introduce a machine learning workflow to search for, identify, and meaningfully triage videos and images of munitions, weapons, and military equipment, even when limited training data exists for the object of interest. This workflow is designed to expedite the work of OSINT ("open source intelligence") researchers i...
2307.11449
Yong Song
Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu
AIGC Empowering Telecom Sector White Paper_chinese
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakthroughs to the global industry and profoundly influence the future world competition pattern. As the builder and operator of information an...
[ { "created": "Fri, 21 Jul 2023 09:30:08 GMT", "version": "v1" }, { "created": "Mon, 24 Jul 2023 01:54:25 GMT", "version": "v2" } ]
2023-07-25
[ [ "Ouyang", "Ye", "" ], [ "Zhang", "Yaqin", "" ], [ "Ye", "Xiaozhou", "" ], [ "Liu", "Yunxin", "" ], [ "Song", "Yong", "" ], [ "Liu", "Yang", "" ], [ "Bian", "Sen", "" ], [ "Liu", "Zhiyong", "...
In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakthroughs to the global industry and profoundly influence the future world competition pattern. As the builder and operator of information and ...
2312.01561
Yan Xu
Yan Xu, Kris Kitani
Multi-View Person Matching and 3D Pose Estimation with Arbitrary Uncalibrated Camera Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-view person matching and 3D human pose estimation in multi-camera networks are particularly difficult when the cameras are extrinsically uncalibrated. Existing efforts generally require large amounts of 3D data for training neural networks or known camera poses for geometric constraints to solve the problem. Ho...
[ { "created": "Mon, 4 Dec 2023 01:28:38 GMT", "version": "v1" } ]
2023-12-05
[ [ "Xu", "Yan", "" ], [ "Kitani", "Kris", "" ] ]
Cross-view person matching and 3D human pose estimation in multi-camera networks are particularly difficult when the cameras are extrinsically uncalibrated. Existing efforts generally require large amounts of 3D data for training neural networks or known camera poses for geometric constraints to solve the problem. Howe...
2311.11550
Kun Wang
Kun Wang, Yu Fua, Xueyuan Duan, Taotao Liu, Jianqiao Xu
Abnormal traffic detection system in SDN based on deep learning hybrid models
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Software defined network (SDN) provides technical support for network construction in smart cities, However, the openness of SDN is also prone to more network attacks. Traditional abnormal traffic detection methods have complex algorithms and find it difficult to detect abnormalities in the network promptly, which ca...
[ { "created": "Mon, 20 Nov 2023 06:05:32 GMT", "version": "v1" } ]
2023-11-21
[ [ "Wang", "Kun", "" ], [ "Fua", "Yu", "" ], [ "Duan", "Xueyuan", "" ], [ "Liu", "Taotao", "" ], [ "Xu", "Jianqiao", "" ] ]
Software defined network (SDN) provides technical support for network construction in smart cities, However, the openness of SDN is also prone to more network attacks. Traditional abnormal traffic detection methods have complex algorithms and find it difficult to detect abnormalities in the network promptly, which cann...
2107.06054
Maxime Buron
Maxime Buron, Marie-Laure Mugnier, Micha\"el Thomazo
Parallelisable Existential Rules: a Story of Pieces
null
null
null
null
cs.AI cs.DB
http://creativecommons.org/licenses/by/4.0/
In this paper, we consider existential rules, an expressive formalism well suited to the representation of ontological knowledge and data-to-ontology mappings in the context of ontology-based data integration. The chase is a fundamental tool to do reasoning with existential rules as it computes all the facts entailed...
[ { "created": "Tue, 13 Jul 2021 13:09:14 GMT", "version": "v1" } ]
2021-07-14
[ [ "Buron", "Maxime", "" ], [ "Mugnier", "Marie-Laure", "" ], [ "Thomazo", "Michaël", "" ] ]
In this paper, we consider existential rules, an expressive formalism well suited to the representation of ontological knowledge and data-to-ontology mappings in the context of ontology-based data integration. The chase is a fundamental tool to do reasoning with existential rules as it computes all the facts entailed b...
2202.04431
Filipe Cogo
Filipe R. Cogo and Xin Xia and Ahmed E. Hassan
Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust
null
ACM Transactions on Software Engineering and Methodology (2022)
10.1145/3546945
null
cs.SE cs.PL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Programming language documentation refers to the set of technical documents that provide application developers with a description of the high-level concepts of a language. Such documentation is essential to support application developers in the effective use of a programming language. One of the challenges faced by ...
[ { "created": "Tue, 8 Feb 2022 14:45:16 GMT", "version": "v1" } ]
2022-10-11
[ [ "Cogo", "Filipe R.", "" ], [ "Xia", "Xin", "" ], [ "Hassan", "Ahmed E.", "" ] ]
Programming language documentation refers to the set of technical documents that provide application developers with a description of the high-level concepts of a language. Such documentation is essential to support application developers in the effective use of a programming language. One of the challenges faced by do...
1405.3033
Zeeshan Bhatti
Zeeshan Bhatti, Ahmad Waqas, Imdad Ali Ismaili, Dil Nawaz Hakro, Waseem Javaid Soomro
Phonetic based SoundEx & ShapeEx algorithm for Sindhi Spell Checker System
9 pages, 6 figures, 5 Tables, Sindhi Computing, Sindhi Language
Adv. Environ. Biol., 8(4), 1147-1155, AENSI Publisher, 2014
null
null
cs.CL
http://creativecommons.org/licenses/by/3.0/
This paper presents a novel combinational phonetic algorithm for Sindhi Language, to be used in developing Sindhi Spell Checker which has yet not been developed prior to this work. The compound textual forms and glyphs of Sindhi language presents a substantial challenge for developing Sindhi spell checker system and ...
[ { "created": "Tue, 13 May 2014 04:33:04 GMT", "version": "v1" } ]
2014-05-14
[ [ "Bhatti", "Zeeshan", "" ], [ "Waqas", "Ahmad", "" ], [ "Ismaili", "Imdad Ali", "" ], [ "Hakro", "Dil Nawaz", "" ], [ "Soomro", "Waseem Javaid", "" ] ]
This paper presents a novel combinational phonetic algorithm for Sindhi Language, to be used in developing Sindhi Spell Checker which has yet not been developed prior to this work. The compound textual forms and glyphs of Sindhi language presents a substantial challenge for developing Sindhi spell checker system and ge...
1602.03644
Jesus Arnau
Jes\'us Arnau and Italo Atzeni and Marios Kountouris
Impact of LOS/NLOS Propagation and Path Loss in Ultra-Dense Cellular Networks
Paper presented at IEEE ICC 2016 - Wireless Communications Symposium
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most prior work on performance analysis of ultra-dense cellular networks (UDNs) has considered standard power-law path loss models and non-line-of-sight (NLOS) propagation modeled by Rayleigh fading. The effect of line-of-sight (LOS) on coverage and throughput and its implication on network densification are still no...
[ { "created": "Thu, 11 Feb 2016 09:09:50 GMT", "version": "v1" }, { "created": "Fri, 17 Jun 2016 15:50:01 GMT", "version": "v2" }, { "created": "Wed, 28 Sep 2016 15:22:46 GMT", "version": "v3" } ]
2016-09-29
[ [ "Arnau", "Jesús", "" ], [ "Atzeni", "Italo", "" ], [ "Kountouris", "Marios", "" ] ]
Most prior work on performance analysis of ultra-dense cellular networks (UDNs) has considered standard power-law path loss models and non-line-of-sight (NLOS) propagation modeled by Rayleigh fading. The effect of line-of-sight (LOS) on coverage and throughput and its implication on network densification are still not ...
0908.2295
Ezra N. Hoch
Danny Dolev, Ezra N. Hoch, Yoram Moses
An Optimal Self-Stabilizing Firing Squad
Shorter version to appear in SSS09
null
10.1007/978-3-642-05118-0_20
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consider a fully connected network where up to $t$ processes may crash, and all processes start in an arbitrary memory state. The self-stabilizing firing squad problem consists of eventually guaranteeing simultaneous response to an external input. This is modeled by requiring that the non-crashed processes "fire" sim...
[ { "created": "Mon, 17 Aug 2009 07:39:06 GMT", "version": "v1" } ]
2015-05-13
[ [ "Dolev", "Danny", "" ], [ "Hoch", "Ezra N.", "" ], [ "Moses", "Yoram", "" ] ]
Consider a fully connected network where up to $t$ processes may crash, and all processes start in an arbitrary memory state. The self-stabilizing firing squad problem consists of eventually guaranteeing simultaneous response to an external input. This is modeled by requiring that the non-crashed processes "fire" simul...
1111.0594
Andrey Nikolaev
Andrey Nikolaev
Exploring Oracle RDBMS latches using Solaris DTrace
14 pages, 6 figures, 6 tables. MEDIAS 2011 Conference. Limassol, Cyprus
null
null
null
cs.DB cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rise of hundreds cores technologies bring again to the first plan the problem of interprocess synchronization in database engines. Spinlocks are widely used in contemporary DBMS to synchronize processes at microsecond timescale. Latches are Oracle RDBMS specific spinlocks. The latch contention is common to observe in...
[ { "created": "Wed, 2 Nov 2011 18:20:36 GMT", "version": "v1" } ]
2011-11-03
[ [ "Nikolaev", "Andrey", "" ] ]
Rise of hundreds cores technologies bring again to the first plan the problem of interprocess synchronization in database engines. Spinlocks are widely used in contemporary DBMS to synchronize processes at microsecond timescale. Latches are Oracle RDBMS specific spinlocks. The latch contention is common to observe in c...
1710.01692
Dokhyam Hoshen
Dokhyam Hoshen, Michael Werman
IQ of Neural Networks
null
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
IQ tests are an accepted method for assessing human intelligence. The tests consist of several parts that must be solved under a time constraint. Of all the tested abilities, pattern recognition has been found to have the highest correlation with general intelligence. This is primarily because pattern recognition is ...
[ { "created": "Fri, 29 Sep 2017 11:48:58 GMT", "version": "v1" } ]
2017-10-05
[ [ "Hoshen", "Dokhyam", "" ], [ "Werman", "Michael", "" ] ]
IQ tests are an accepted method for assessing human intelligence. The tests consist of several parts that must be solved under a time constraint. Of all the tested abilities, pattern recognition has been found to have the highest correlation with general intelligence. This is primarily because pattern recognition is th...
1501.04232
Christian Bauckhage
Christian Bauckhage, Kristian Kersting, Fabian Hadiji
Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Properties of networks are often characterized in terms of features such as node degree distributions, average path lengths, diameters, or clustering coefficients. Here, we study shortest path length distributions. On the one hand, average as well as maximum distances can be determined therefrom; on the other hand, t...
[ { "created": "Sat, 17 Jan 2015 21:37:10 GMT", "version": "v1" } ]
2015-01-20
[ [ "Bauckhage", "Christian", "" ], [ "Kersting", "Kristian", "" ], [ "Hadiji", "Fabian", "" ] ]
Properties of networks are often characterized in terms of features such as node degree distributions, average path lengths, diameters, or clustering coefficients. Here, we study shortest path length distributions. On the one hand, average as well as maximum distances can be determined therefrom; on the other hand, the...
2107.09725
Hung La
Ashutosh Singandhupe, Hung La, Trung Dung Ngo, Van Ho
Registration of 3D Point Sets Using Correntropy Similarity Matrix
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work focuses on Registration or Alignment of 3D point sets. Although the Registration problem is a well established problem and it's solved using multiple variants of Iterative Closest Point (ICP) Algorithm, most of the approaches in the current state of the art still suffers from misalignment when the \textit{S...
[ { "created": "Tue, 20 Jul 2021 18:56:22 GMT", "version": "v1" } ]
2021-07-22
[ [ "Singandhupe", "Ashutosh", "" ], [ "La", "Hung", "" ], [ "Ngo", "Trung Dung", "" ], [ "Ho", "Van", "" ] ]
This work focuses on Registration or Alignment of 3D point sets. Although the Registration problem is a well established problem and it's solved using multiple variants of Iterative Closest Point (ICP) Algorithm, most of the approaches in the current state of the art still suffers from misalignment when the \textit{Sou...
1704.02373
Achintya Sarkar
Achintya Kr. Sarkar and Zheng-Hua Tan
Time-Contrastive Learning Based DNN Bottleneck Features for Text-Dependent Speaker Verification
null
NIPS Time Series Workshop 2017, Long Beach, CA, USA
null
null
cs.SD cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a time-contrastive learning (TCL) based bottleneck (BN)feature extraction method for speech signals with an application to text-dependent (TD) speaker verification (SV). It is well-known that speech signals exhibit quasi-stationary behavior in and only in a short interval, and the TCL method...
[ { "created": "Thu, 6 Apr 2017 09:37:41 GMT", "version": "v1" }, { "created": "Mon, 27 Nov 2017 16:56:31 GMT", "version": "v2" }, { "created": "Sat, 11 May 2019 16:19:20 GMT", "version": "v3" } ]
2019-05-14
[ [ "Sarkar", "Achintya Kr.", "" ], [ "Tan", "Zheng-Hua", "" ] ]
In this paper, we present a time-contrastive learning (TCL) based bottleneck (BN)feature extraction method for speech signals with an application to text-dependent (TD) speaker verification (SV). It is well-known that speech signals exhibit quasi-stationary behavior in and only in a short interval, and the TCL method a...
1805.02917
Motoki Sato
Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto
Interpretable Adversarial Perturbation in Input Embedding Space for Text
8 pages, 4 figures
IJCAI-ECAI-2018
null
null
cs.LG cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Following great success in the image processing field, the idea of adversarial training has been applied to tasks in the natural language processing (NLP) field. One promising approach directly applies adversarial training developed in the image processing field to the input word embedding space instead of the discre...
[ { "created": "Tue, 8 May 2018 09:27:46 GMT", "version": "v1" } ]
2018-05-09
[ [ "Sato", "Motoki", "" ], [ "Suzuki", "Jun", "" ], [ "Shindo", "Hiroyuki", "" ], [ "Matsumoto", "Yuji", "" ] ]
Following great success in the image processing field, the idea of adversarial training has been applied to tasks in the natural language processing (NLP) field. One promising approach directly applies adversarial training developed in the image processing field to the input word embedding space instead of the discrete...
2309.13869
Minseok Choi
Minseok Choi, Hyesu Lim, Jaegul Choo
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration
Accepted to Findings of IJCNLP-AACL 2023
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Document-level relation extraction (DocRE) aims to extract relations of all entity pairs in a document. A key challenge in DocRE is the cost of annotating such data which requires intensive human effort. Thus, we investigate the case of DocRE in a low-resource setting, and we find that existing models trained on low ...
[ { "created": "Mon, 25 Sep 2023 04:42:39 GMT", "version": "v1" } ]
2023-10-13
[ [ "Choi", "Minseok", "" ], [ "Lim", "Hyesu", "" ], [ "Choo", "Jaegul", "" ] ]
Document-level relation extraction (DocRE) aims to extract relations of all entity pairs in a document. A key challenge in DocRE is the cost of annotating such data which requires intensive human effort. Thus, we investigate the case of DocRE in a low-resource setting, and we find that existing models trained on low da...
2208.13154
Haoxiang Wang
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of distributed deep learning, the issue of stale weights or gradients could result in poor algorithmic performance. This issue is usually tackled by delay tolerant algorithms with some mild assumptions on the objective functions and step sizes. In this paper, we propose a different approach to develop ...
[ { "created": "Sun, 28 Aug 2022 07:14:59 GMT", "version": "v1" } ]
2022-08-30
[ [ "Wang", "Haoxiang", "" ], [ "Jiang", "Zhanhong", "" ], [ "Liu", "Chao", "" ], [ "Sarkar", "Soumik", "" ], [ "Jiang", "Dongxiang", "" ], [ "Lee", "Young M.", "" ] ]
In the context of distributed deep learning, the issue of stale weights or gradients could result in poor algorithmic performance. This issue is usually tackled by delay tolerant algorithms with some mild assumptions on the objective functions and step sizes. In this paper, we propose a different approach to develop a ...
1404.6218
Ashkan Tousimojarad Mr
Ashkan Tousimojarad and Wim Vanderbauwhede
A Parallel Task-based Approach to Linear Algebra
Final version as appeared in "dx.doi.org/10.1109/ISPDC.2014.11"
Tousimojarad, A., Vanderbauwhede, W.: A parallel task-based approach to linear algebra. In: Parallel and Distributed Computing (ISPDC), 2014 IEEE 13th International Symposium on. pp. 59-66. IEEE (2014)
10.1109/ISPDC.2014.11
null
cs.DC cs.PF cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Processors with large numbers of cores are becoming commonplace. In order to take advantage of the available resources in these systems, the programming paradigm has to move towards increased parallelism. However, increasing the level of concurrency in the program does not necessarily lead to better performance. Para...
[ { "created": "Thu, 24 Apr 2014 18:39:30 GMT", "version": "v1" }, { "created": "Fri, 3 Oct 2014 14:53:58 GMT", "version": "v2" }, { "created": "Mon, 6 Oct 2014 15:46:24 GMT", "version": "v3" } ]
2014-10-07
[ [ "Tousimojarad", "Ashkan", "" ], [ "Vanderbauwhede", "Wim", "" ] ]
Processors with large numbers of cores are becoming commonplace. In order to take advantage of the available resources in these systems, the programming paradigm has to move towards increased parallelism. However, increasing the level of concurrency in the program does not necessarily lead to better performance. Parall...
1005.0783
Yiwei Sun
Omer Shahid Ahmad, Faisal Alrashdi, Jason (Jun-Duo) Chen, Najah Ilham, Jianhai Lu, Yiwei Sun, Tong Wang, Yongxin Zhu
Software Requirements Specification of the IUfA's UUIS -- a Team 2 COMP5541-W10 Project Approach
52 pages. 51 tables, 4 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the 52-page document, we describe our approach to the Software Requirements Specification of the IUfA's UUIS prototype. This includes the overall system description, functional requirements, non-functional requirements, use cases, the corresponding data dictionary for all entities involved, mock user interface (UI...
[ { "created": "Wed, 5 May 2010 15:59:50 GMT", "version": "v1" }, { "created": "Fri, 7 May 2010 15:59:22 GMT", "version": "v2" } ]
2015-03-17
[ [ "Ahmad", "Omer Shahid", "", "Jun-Duo" ], [ "Alrashdi", "Faisal", "", "Jun-Duo" ], [ "Jason", "", "", "Jun-Duo" ], [ "Chen", "", "" ], [ "Ilham", "Najah", "" ], [ "Lu", "Jianhai", "" ], [ "Sun", "Yiw...
In the 52-page document, we describe our approach to the Software Requirements Specification of the IUfA's UUIS prototype. This includes the overall system description, functional requirements, non-functional requirements, use cases, the corresponding data dictionary for all entities involved, mock user interface (UI) ...
1410.7923
Jesper W. Mikkelsen
Jesper W. Mikkelsen
Optimal Online Edge Coloring of Planar Graphs with Advice
CIAC 2015
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Using the framework of advice complexity, we study the amount of knowledge about the future that an online algorithm needs to color the edges of a graph optimally, i.e., using as few colors as possible. For graphs of maximum degree $\Delta$, it follows from Vizing's Theorem that $O(m\log \Delta)$ bits of advice suffi...
[ { "created": "Wed, 29 Oct 2014 10:34:01 GMT", "version": "v1" }, { "created": "Thu, 12 Feb 2015 08:20:06 GMT", "version": "v2" } ]
2015-02-13
[ [ "Mikkelsen", "Jesper W.", "" ] ]
Using the framework of advice complexity, we study the amount of knowledge about the future that an online algorithm needs to color the edges of a graph optimally, i.e., using as few colors as possible. For graphs of maximum degree $\Delta$, it follows from Vizing's Theorem that $O(m\log \Delta)$ bits of advice suffice...
2102.06603
James O' Neill
James O' Neill, Danushka Bollegala
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Negative sampling is a limiting factor w.r.t. the generalization of metric-learned neural networks. We show that uniform negative sampling provides little information about the class boundaries and thus propose three novel techniques for efficient negative sampling: drawing negative samples from (1) the top-$k$ most ...
[ { "created": "Fri, 12 Feb 2021 16:26:52 GMT", "version": "v1" } ]
2021-02-15
[ [ "Neill", "James O'", "" ], [ "Bollegala", "Danushka", "" ] ]
Negative sampling is a limiting factor w.r.t. the generalization of metric-learned neural networks. We show that uniform negative sampling provides little information about the class boundaries and thus propose three novel techniques for efficient negative sampling: drawing negative samples from (1) the top-$k$ most se...
1204.4322
David Pichardie
Thomas Jensen (INRIA Rennes), Florent Kirchner (INRIA Rennes), David Pichardie (INRIA Rennes)
Secure the Clones
null
Logical Methods in Computer Science, Volume 8, Issue 2 (May 31, 2012) lmcs:801
10.2168/LMCS-8(2:5)2012
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exchanging mutable data objects with untrusted code is a delicate matter because of the risk of creating a data space that is accessible by an attacker. Consequently, secure programming guidelines for Java stress the importance of using defensive copying before accepting or handing out references to an internal mutab...
[ { "created": "Thu, 19 Apr 2012 11:49:03 GMT", "version": "v1" }, { "created": "Wed, 30 May 2012 19:21:46 GMT", "version": "v2" }, { "created": "Mon, 4 Jun 2012 10:04:07 GMT", "version": "v3" } ]
2015-07-01
[ [ "Jensen", "Thomas", "", "INRIA Rennes" ], [ "Kirchner", "Florent", "", "INRIA Rennes" ], [ "Pichardie", "David", "", "INRIA Rennes" ] ]
Exchanging mutable data objects with untrusted code is a delicate matter because of the risk of creating a data space that is accessible by an attacker. Consequently, secure programming guidelines for Java stress the importance of using defensive copying before accepting or handing out references to an internal mutable...
1901.01919
Rui Chen
Rui Chen, Christos G. Cassandras
Optimization of Ride Sharing Systems Using Event-driven Receding Horizon Control
14 pages, 12 figures
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop an event-driven Receding Horizon Control (RHC) scheme for a Ride Sharing System (RSS) in a transportation network where vehicles are shared to pick up and drop off passengers so as to minimize a weighted sum of passenger waiting and traveling times. The RSS is modeled as a discrete event system and the eve...
[ { "created": "Mon, 7 Jan 2019 16:58:23 GMT", "version": "v1" }, { "created": "Tue, 8 Jan 2019 22:40:14 GMT", "version": "v2" } ]
2019-01-10
[ [ "Chen", "Rui", "" ], [ "Cassandras", "Christos G.", "" ] ]
We develop an event-driven Receding Horizon Control (RHC) scheme for a Ride Sharing System (RSS) in a transportation network where vehicles are shared to pick up and drop off passengers so as to minimize a weighted sum of passenger waiting and traveling times. The RSS is modeled as a discrete event system and the event...
1912.07004
Wei Quan Lim
Wei Quan Lim
Small Connected Planar Graph with 1-Cop-Move Number 4
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a 720-vertex connected planar graph G such that cop1(G), denoting the minimum number of cops needed to catch the robber in the 1-cop-move game on G, is at least 4 and at most 7. Furthermore, G has a connected subgraph H such that cop1(H) is exactly 4, meaning that 4 cops are barely sufficient to ...
[ { "created": "Sun, 15 Dec 2019 08:47:55 GMT", "version": "v1" } ]
2019-12-17
[ [ "Lim", "Wei Quan", "" ] ]
This paper describes a 720-vertex connected planar graph G such that cop1(G), denoting the minimum number of cops needed to catch the robber in the 1-cop-move game on G, is at least 4 and at most 7. Furthermore, G has a connected subgraph H such that cop1(H) is exactly 4, meaning that 4 cops are barely sufficient to ca...
1310.6173
Pantelis Monogioudis
Carl Weaver, Pantelis Monogioudis
Self-Organizing Mobility Robustness Optimization in LTE Networks with eICIC
18 pages, 8 figures
null
null
null
cs.NI cs.PF cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of Mobility Robustness Optimization (MRO) and describe centralized Self Organizing Network (SON) solutions that can optimize connected-mode mobility Key Performance Indicators (KPIs). Our solution extends the earlier work of eICIC parameter optimization [7], to heterogeneous networks with mobil...
[ { "created": "Wed, 23 Oct 2013 10:27:49 GMT", "version": "v1" } ]
2013-10-24
[ [ "Weaver", "Carl", "" ], [ "Monogioudis", "Pantelis", "" ] ]
We address the problem of Mobility Robustness Optimization (MRO) and describe centralized Self Organizing Network (SON) solutions that can optimize connected-mode mobility Key Performance Indicators (KPIs). Our solution extends the earlier work of eICIC parameter optimization [7], to heterogeneous networks with mobilit...
1711.02760
Christoph Trattner
Christoph Trattner, David Elsweiler
Food Recommender Systems: Important Contributions, Challenges and Future Research Directions
null
null
null
null
cs.IR cs.CY cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recommendation of food items is important for many reasons. Attaining cooking inspiration via digital sources is becoming evermore popular; as are systems, which recommend other types of food, such as meals in restaurants or products in supermarkets. Researchers have been studying these kinds of systems for many ...
[ { "created": "Tue, 7 Nov 2017 22:52:12 GMT", "version": "v1" }, { "created": "Fri, 10 Nov 2017 10:23:29 GMT", "version": "v2" } ]
2017-11-13
[ [ "Trattner", "Christoph", "" ], [ "Elsweiler", "David", "" ] ]
The recommendation of food items is important for many reasons. Attaining cooking inspiration via digital sources is becoming evermore popular; as are systems, which recommend other types of food, such as meals in restaurants or products in supermarkets. Researchers have been studying these kinds of systems for many ye...
2307.05914
Weipeng Zhuo
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Accepted by IEEE ICDCS 2023
null
null
null
cs.NI cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Floor labels of crowdsourced RF signals are crucial for many smart-city applications, such as multi-floor indoor localization, geofencing, and robot surveillance. To build a prediction model to identify the floor number of a new RF signal upon its measurement, conventional approaches using the crowdsourced RF signals...
[ { "created": "Wed, 12 Jul 2023 04:43:59 GMT", "version": "v1" } ]
2023-07-13
[ [ "Zhuo", "Weipeng", "" ], [ "Chiu", "Ka Ho", "" ], [ "Chen", "Jierun", "" ], [ "Zhao", "Ziqi", "" ], [ "Chan", "S. -H. Gary", "" ], [ "Ha", "Sangtae", "" ], [ "Lee", "Chul-Ho", "" ] ]
Floor labels of crowdsourced RF signals are crucial for many smart-city applications, such as multi-floor indoor localization, geofencing, and robot surveillance. To build a prediction model to identify the floor number of a new RF signal upon its measurement, conventional approaches using the crowdsourced RF signals a...
1811.01256
Eric Rowland
Eric Rowland, Reem Yassawi
Automaticity and invariant measures of linear cellular automata
33 pages, 8 figures; fixed some typos
Can. J. Math.-J. Can. Math. 72 (2020) 1691-1726
10.4153/S0008414X19000488
null
cs.FL cs.DM math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that spacetime diagrams of linear cellular automata $\Phi : {\mathbb F}_p^{\mathbb Z} \to {\mathbb F}_p^{\mathbb Z}$ with $(-p)$-automatic initial conditions are automatic. This extends existing results on initial conditions which are eventually constant. Each automatic spacetime diagram defines a $(\sigma, \...
[ { "created": "Sat, 3 Nov 2018 17:33:02 GMT", "version": "v1" }, { "created": "Thu, 14 Feb 2019 18:21:19 GMT", "version": "v2" }, { "created": "Wed, 19 Feb 2020 16:40:11 GMT", "version": "v3" } ]
2023-09-06
[ [ "Rowland", "Eric", "" ], [ "Yassawi", "Reem", "" ] ]
We show that spacetime diagrams of linear cellular automata $\Phi : {\mathbb F}_p^{\mathbb Z} \to {\mathbb F}_p^{\mathbb Z}$ with $(-p)$-automatic initial conditions are automatic. This extends existing results on initial conditions which are eventually constant. Each automatic spacetime diagram defines a $(\sigma, \Ph...
2403.11878
Jiaxiang Tang
Jiaxiang Tang, Ruijie Lu, Xiaokang Chen, Xiang Wen, Gang Zeng, Ziwei Liu
InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting
Project Page: https://me.kiui.moe/intex/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text-to-texture synthesis has become a new frontier in 3D content creation thanks to the recent advances in text-to-image models. Existing methods primarily adopt a combination of pretrained depth-aware diffusion and inpainting models, yet they exhibit shortcomings such as 3D inconsistency and limited controllability...
[ { "created": "Mon, 18 Mar 2024 15:31:57 GMT", "version": "v1" } ]
2024-03-19
[ [ "Tang", "Jiaxiang", "" ], [ "Lu", "Ruijie", "" ], [ "Chen", "Xiaokang", "" ], [ "Wen", "Xiang", "" ], [ "Zeng", "Gang", "" ], [ "Liu", "Ziwei", "" ] ]
Text-to-texture synthesis has become a new frontier in 3D content creation thanks to the recent advances in text-to-image models. Existing methods primarily adopt a combination of pretrained depth-aware diffusion and inpainting models, yet they exhibit shortcomings such as 3D inconsistency and limited controllability. ...
1607.05427
Dacheng Tao
Changxing Ding and Dacheng Tao
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Accepted Version to IEEE T-PAMI
null
10.1109/TPAMI.2017.2700390
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based face recognition (VFR). First, to learn blur-robust face representatio...
[ { "created": "Tue, 19 Jul 2016 07:14:28 GMT", "version": "v1" }, { "created": "Wed, 17 May 2017 09:12:19 GMT", "version": "v2" } ]
2017-05-18
[ [ "Ding", "Changxing", "" ], [ "Tao", "Dacheng", "" ] ]
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based face recognition (VFR). First, to learn blur-robust face representations...
2208.12014
Sung Sik Nam
Sung Sik Nam, Changseok Yoon, Ki-Hong Park and Mohamed-Slim Alouini
Technical Report: Development of an Ultrahigh Bandwidth Software-defined Radio Platform
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For the development of new digital signal processing systems and services, the rapid, easy, and convenient prototyping of ideas and the rapid time-to-market of products are becoming important with advances in technology. Conventionally, for the development stage, particularly when confirming the feasibility or perfor...
[ { "created": "Thu, 25 Aug 2022 11:31:35 GMT", "version": "v1" }, { "created": "Sat, 27 Aug 2022 02:34:32 GMT", "version": "v2" } ]
2022-08-30
[ [ "Nam", "Sung Sik", "" ], [ "Yoon", "Changseok", "" ], [ "Park", "Ki-Hong", "" ], [ "Alouini", "Mohamed-Slim", "" ] ]
For the development of new digital signal processing systems and services, the rapid, easy, and convenient prototyping of ideas and the rapid time-to-market of products are becoming important with advances in technology. Conventionally, for the development stage, particularly when confirming the feasibility or performa...
2306.15390
Yanjing Li
Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
Accepted by International Journal of Computer Vision
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Neural architecture search (NAS) proves to be among the effective approaches for many tasks by generating an application-adaptive neural architecture, which is still challenged by high computational cost and memory consumption. At the same time, 1-bit convolutional neural networks (CNNs) with binary weights and activ...
[ { "created": "Tue, 27 Jun 2023 11:28:29 GMT", "version": "v1" } ]
2023-06-28
[ [ "Li", "Yanjing", "" ], [ "Xu", "Sheng", "" ], [ "Cao", "Xianbin", "" ], [ "Zhuo", "Li'an", "" ], [ "Zhang", "Baochang", "" ], [ "Wang", "Tian", "" ], [ "Guo", "Guodong", "" ] ]
Neural architecture search (NAS) proves to be among the effective approaches for many tasks by generating an application-adaptive neural architecture, which is still challenged by high computational cost and memory consumption. At the same time, 1-bit convolutional neural networks (CNNs) with binary weights and activat...
1605.07760
Jens Grubert
Jens Grubert, Matthias Kranz, Aaron Quigley
Challenges in Mobile Multi-Device Ecosystems
null
mUX: The Journal of Mobile User Experience, 5(1), 1-22, 2016
10.1186/s13678-016-0007-y
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Coordinated multi-display environments from the desktop, second-screen to gigapixel display walls are increasingly common. Personal and intimate mobile and wearable devices such as head-mounted displays, smartwatches, smartphones and tablets are rarely part of such multi-device ecosystems. With this paper, we contrib...
[ { "created": "Wed, 25 May 2016 07:26:02 GMT", "version": "v1" } ]
2016-10-04
[ [ "Grubert", "Jens", "" ], [ "Kranz", "Matthias", "" ], [ "Quigley", "Aaron", "" ] ]
Coordinated multi-display environments from the desktop, second-screen to gigapixel display walls are increasingly common. Personal and intimate mobile and wearable devices such as head-mounted displays, smartwatches, smartphones and tablets are rarely part of such multi-device ecosystems. With this paper, we contribut...
2302.08570
Ashwin Maran
Jin-Yi Cai, Ashwin Maran
The complexity of counting planar graph homomorphisms of domain size 3
32 pages, 2 figures, accepted by STOC 2023
null
null
null
cs.CC
http://creativecommons.org/licenses/by/4.0/
We prove a complexity dichotomy theorem for counting planar graph homomorphisms of domain size 3. Given any 3 by 3 real valued symmetric matrix $H$ defining a graph homomorphism from all planar graphs $G \mapsto Z_H(G)$, we completely classify the computational complexity of this problem according to the matrix $H$. ...
[ { "created": "Thu, 16 Feb 2023 20:33:07 GMT", "version": "v1" } ]
2023-02-20
[ [ "Cai", "Jin-Yi", "" ], [ "Maran", "Ashwin", "" ] ]
We prove a complexity dichotomy theorem for counting planar graph homomorphisms of domain size 3. Given any 3 by 3 real valued symmetric matrix $H$ defining a graph homomorphism from all planar graphs $G \mapsto Z_H(G)$, we completely classify the computational complexity of this problem according to the matrix $H$. We...
2003.07450
Heng Chang
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
Spectral Graph Attention Network with Fast Eigen-approximation
Accepted by Deep Learning on Graphs: Method and Applications (DLG-KDD21)
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Variants of Graph Neural Networks (GNNs) for representation learning have been proposed recently and achieved fruitful results in various fields. Among them, Graph Attention Network (GAT) first employs a self-attention strategy to learn attention weights for each edge in the spatial domain. However, learning the atte...
[ { "created": "Mon, 16 Mar 2020 21:49:34 GMT", "version": "v1" }, { "created": "Tue, 27 Jul 2021 11:58:57 GMT", "version": "v2" } ]
2021-07-28
[ [ "Chang", "Heng", "" ], [ "Rong", "Yu", "" ], [ "Xu", "Tingyang", "" ], [ "Huang", "Wenbing", "" ], [ "Sojoudi", "Somayeh", "" ], [ "Huang", "Junzhou", "" ], [ "Zhu", "Wenwu", "" ] ]
Variants of Graph Neural Networks (GNNs) for representation learning have been proposed recently and achieved fruitful results in various fields. Among them, Graph Attention Network (GAT) first employs a self-attention strategy to learn attention weights for each edge in the spatial domain. However, learning the attent...
2211.12081
Ran Gu
Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
14 pages, 8 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Generalization to previously unseen images with potential domain shifts and different styles is essential for clinically applicable medical image segmentation, and the ability to disentangle domain-specific and domain-invariant features is key for achieving Domain Generalization (DG). However, existing DG methods can...
[ { "created": "Tue, 22 Nov 2022 08:25:35 GMT", "version": "v1" } ]
2022-11-23
[ [ "Gu", "Ran", "" ], [ "Wang", "Guotai", "" ], [ "Lu", "Jiangshan", "" ], [ "Zhang", "Jingyang", "" ], [ "Lei", "Wenhui", "" ], [ "Chen", "Yinan", "" ], [ "Liao", "Wenjun", "" ], [ "Zhang", "Shich...
Generalization to previously unseen images with potential domain shifts and different styles is essential for clinically applicable medical image segmentation, and the ability to disentangle domain-specific and domain-invariant features is key for achieving Domain Generalization (DG). However, existing DG methods can h...
0711.4324
Jinshan Zhang
Jinshan Zhang
Report on "American Option Pricing and Hedging Strategies"
14pages
null
null
null
cs.CE cs.DM
null
This paper mainly discusses the American option's hedging strategies via binomialmodel and the basic idea of pricing and hedging American option. Although the essential scheme of hedging is almost the same as European option, small differences may arise when simulating the process for American option holder has more ...
[ { "created": "Tue, 27 Nov 2007 18:34:40 GMT", "version": "v1" } ]
2007-11-28
[ [ "Zhang", "Jinshan", "" ] ]
This paper mainly discusses the American option's hedging strategies via binomialmodel and the basic idea of pricing and hedging American option. Although the essential scheme of hedging is almost the same as European option, small differences may arise when simulating the process for American option holder has more ri...
2211.00262
Elad Segal
Elad Segal, Ben Bogin, Jonathan Berant
Training Vision-Language Models with Less Bimodal Supervision
AKBC 2022
null
null
null
cs.CL cs.CV
http://creativecommons.org/licenses/by/4.0/
Standard practice in pretraining multimodal models, such as vision-language models, is to rely on pairs of aligned inputs from both modalities, for example, aligned image-text pairs. However, such pairs can be difficult to obtain in low-resource settings and for some modality pairs (e.g., structured tables and images...
[ { "created": "Tue, 1 Nov 2022 04:07:11 GMT", "version": "v1" } ]
2022-11-02
[ [ "Segal", "Elad", "" ], [ "Bogin", "Ben", "" ], [ "Berant", "Jonathan", "" ] ]
Standard practice in pretraining multimodal models, such as vision-language models, is to rely on pairs of aligned inputs from both modalities, for example, aligned image-text pairs. However, such pairs can be difficult to obtain in low-resource settings and for some modality pairs (e.g., structured tables and images)....
1711.01068
Raphael Shu
Raphael Shu, Hideki Nakayama
Compressing Word Embeddings via Deep Compositional Code Learning
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Natural language processing (NLP) models often require a massive number of parameters for word embeddings, resulting in a large storage or memory footprint. Deploying neural NLP models to mobile devices requires compressing the word embeddings without any significant sacrifices in performance. For this purpose, we pr...
[ { "created": "Fri, 3 Nov 2017 09:05:44 GMT", "version": "v1" }, { "created": "Fri, 17 Nov 2017 15:31:45 GMT", "version": "v2" } ]
2017-11-20
[ [ "Shu", "Raphael", "" ], [ "Nakayama", "Hideki", "" ] ]
Natural language processing (NLP) models often require a massive number of parameters for word embeddings, resulting in a large storage or memory footprint. Deploying neural NLP models to mobile devices requires compressing the word embeddings without any significant sacrifices in performance. For this purpose, we prop...
1109.4323
Adrien Poteaux
Adrien Poteaux, \'Eric Schost
On the complexity of computing with zero-dimensional triangular sets
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the complexity of some fundamental operations for triangular sets in dimension zero. Using Las-Vegas algorithms, we prove that one can perform such operations as change of order, equiprojectable decomposition, or quasi-inverse computation with a cost that is essentially that of modular composition. Over an a...
[ { "created": "Tue, 20 Sep 2011 15:34:04 GMT", "version": "v1" } ]
2011-09-21
[ [ "Poteaux", "Adrien", "" ], [ "Schost", "Éric", "" ] ]
We study the complexity of some fundamental operations for triangular sets in dimension zero. Using Las-Vegas algorithms, we prove that one can perform such operations as change of order, equiprojectable decomposition, or quasi-inverse computation with a cost that is essentially that of modular composition. Over an abs...
2101.01115
Yunus Camg\"ozl\"u
Yunus Camg\"ozl\"u, Yakup Kutlu
Analysis of Filter Size Effect In Deep Learning
10 Pages, 9 Figures, Journal of Artificial Intelligence with Applications, published
Journal of Artificial Intelligence with Applications, 1(1), 20-29, 2020
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
With the use of deep learning in many areas, how to improve this technology or how to develop the structure used more effectively and in a shorter time is an issue that is of interest to many people working in this field. Many studies are carried out on this subject, it is aimed to reduce the duration of the operatio...
[ { "created": "Sat, 12 Dec 2020 11:05:47 GMT", "version": "v1" } ]
2021-01-05
[ [ "Camgözlü", "Yunus", "" ], [ "Kutlu", "Yakup", "" ] ]
With the use of deep learning in many areas, how to improve this technology or how to develop the structure used more effectively and in a shorter time is an issue that is of interest to many people working in this field. Many studies are carried out on this subject, it is aimed to reduce the duration of the operation ...
2208.10188
Soura Sena Das
Soura Sena Das, Soumen Nandi and Sagnik Sen
The oriented relative clique number of triangle-free planar graphs is 10
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In relation to oriented coloring and chromatic number, the parameter oriented relative clique number of an oriented graph $\overrightarrow{G}$, denoted by $\omega_{ro}(\overrightarrow{G})$, is the main focus of this work. We solve an open problem mentioned in the recent survey on oriented coloring by Sopena (Discrete...
[ { "created": "Mon, 22 Aug 2022 10:13:48 GMT", "version": "v1" } ]
2022-08-23
[ [ "Das", "Soura Sena", "" ], [ "Nandi", "Soumen", "" ], [ "Sen", "Sagnik", "" ] ]
In relation to oriented coloring and chromatic number, the parameter oriented relative clique number of an oriented graph $\overrightarrow{G}$, denoted by $\omega_{ro}(\overrightarrow{G})$, is the main focus of this work. We solve an open problem mentioned in the recent survey on oriented coloring by Sopena (Discrete M...
2311.17080
Weihao Qiu
Weihao Qiu, George Legrady
Combating the "Sameness" in AI Art: Reflections on the Interactive AI Installation Fencing Hallucination
Paper for NeurIPS 2023 Workshop, Machine Learning for Creativity and Design
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The article summarizes three types of "sameness" issues in Artificial Intelligence(AI) art, each occurring at different stages of development in AI image creation tools. Through the Fencing Hallucination project, the article reflects on the design of AI art production in alleviating the sense of uniformity, maintaini...
[ { "created": "Tue, 28 Nov 2023 00:00:34 GMT", "version": "v1" } ]
2023-11-30
[ [ "Qiu", "Weihao", "" ], [ "Legrady", "George", "" ] ]
The article summarizes three types of "sameness" issues in Artificial Intelligence(AI) art, each occurring at different stages of development in AI image creation tools. Through the Fencing Hallucination project, the article reflects on the design of AI art production in alleviating the sense of uniformity, maintaining...
1805.10338
Lierni Sestorain
Lierni Sestorain and Massimiliano Ciaramita and Christian Buck and Thomas Hofmann
Zero-Shot Dual Machine Translation
null
null
null
null
cs.CL cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Machine Translation (NMT) systems rely on large amounts of parallel data. This is a major challenge for low-resource languages. Building on recent work on unsupervised and semi-supervised methods, we present an approach that combines zero-shot and dual learning. The latter relies on reinforcement learning, to ...
[ { "created": "Fri, 25 May 2018 19:27:43 GMT", "version": "v1" } ]
2018-05-29
[ [ "Sestorain", "Lierni", "" ], [ "Ciaramita", "Massimiliano", "" ], [ "Buck", "Christian", "" ], [ "Hofmann", "Thomas", "" ] ]
Neural Machine Translation (NMT) systems rely on large amounts of parallel data. This is a major challenge for low-resource languages. Building on recent work on unsupervised and semi-supervised methods, we present an approach that combines zero-shot and dual learning. The latter relies on reinforcement learning, to ex...
2302.09699
Daogao Liu
Arun Ganesh, Daogao Liu, Sewoong Oh, Abhradeep Thakurta
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
null
null
null
null
cs.LG cs.CR math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of minimizing a non-convex objective while preserving the privacy of the examples in the training data. Building upon the previous variance-reduced algorithm SpiderBoost, we introduce a new framework that utilizes two different kinds of gradient oracles. The first kind of oracles can estimate ...
[ { "created": "Mon, 20 Feb 2023 00:11:19 GMT", "version": "v1" } ]
2023-02-21
[ [ "Ganesh", "Arun", "" ], [ "Liu", "Daogao", "" ], [ "Oh", "Sewoong", "" ], [ "Thakurta", "Abhradeep", "" ] ]
We consider the problem of minimizing a non-convex objective while preserving the privacy of the examples in the training data. Building upon the previous variance-reduced algorithm SpiderBoost, we introduce a new framework that utilizes two different kinds of gradient oracles. The first kind of oracles can estimate th...
2209.04376
Elnaz Rabieinejad
Lulit Asfaw (College of Computing and Software Engineering, Kennesaw State University, Marietta, GA, USA), Mikael Clemmons (College of Computing and Software Engineering, Kennesaw State University, Marietta, GA, USA), Cody Hayes (College of Computing and Software Engineering, Kennesaw State University, Marietta...
Challenges of Implementing Agile Processes in Remote-First Companies
null
null
null
null
cs.SE cs.CY
http://creativecommons.org/licenses/by/4.0/
The trend of remote work, especially in the IT sector, has been on the rise in recent years, and its popularity has especially increased since the COVID-19 pandemic. In addition to adopting remote work, companies also have been migrating toward managing their projects using agile processes. Agile processes promote sm...
[ { "created": "Fri, 9 Sep 2022 16:20:04 GMT", "version": "v1" } ]
2022-09-12
[ [ "Asfaw", "Lulit", "", "College of Computing and Software Engineering, Kennesaw\n State University, Marietta, GA, USA" ], [ "Clemmons", "Mikael", "", "College of Computing\n and Software Engineering, Kennesaw State University, Marietta, GA, USA" ], [ "Hayes", "Cody...
The trend of remote work, especially in the IT sector, has been on the rise in recent years, and its popularity has especially increased since the COVID-19 pandemic. In addition to adopting remote work, companies also have been migrating toward managing their projects using agile processes. Agile processes promote smal...
2106.03242
Elahe Arani
Ahmed Badar, Arnav Varma, Adrian Staniec, Mahmoud Gamal, Omar Magdy, Haris Iqbal, Elahe Arani and Bahram Zonooz
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Convolutional neural networks (CNNs) have become commonplace in addressing major challenges in computer vision. Researchers are not only coming up with new CNN architectures but are also researching different techniques to improve the performance of existing architectures. However, there is a tendency to over-emphasi...
[ { "created": "Sun, 6 Jun 2021 20:42:00 GMT", "version": "v1" } ]
2021-06-08
[ [ "Badar", "Ahmed", "" ], [ "Varma", "Arnav", "" ], [ "Staniec", "Adrian", "" ], [ "Gamal", "Mahmoud", "" ], [ "Magdy", "Omar", "" ], [ "Iqbal", "Haris", "" ], [ "Arani", "Elahe", "" ], [ "Zonooz", ...
Convolutional neural networks (CNNs) have become commonplace in addressing major challenges in computer vision. Researchers are not only coming up with new CNN architectures but are also researching different techniques to improve the performance of existing architectures. However, there is a tendency to over-emphasize...
2201.12179
Lukas Struppek
Lukas Struppek, Dominik Hintersdorf, Antonio De Almeida Correia, Antonia Adler, Kristian Kersting
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Accepted by ICML 2022
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Model inversion attacks (MIAs) aim to create synthetic images that reflect the class-wise characteristics from a target classifier's private training data by exploiting the model's learned knowledge. Previous research has developed generative MIAs that use generative adversarial networks (GANs) as image priors tailor...
[ { "created": "Fri, 28 Jan 2022 15:25:50 GMT", "version": "v1" }, { "created": "Wed, 2 Feb 2022 15:21:17 GMT", "version": "v2" }, { "created": "Tue, 7 Jun 2022 16:15:28 GMT", "version": "v3" }, { "created": "Thu, 9 Jun 2022 08:48:08 GMT", "version": "v4" } ]
2022-06-10
[ [ "Struppek", "Lukas", "" ], [ "Hintersdorf", "Dominik", "" ], [ "Correia", "Antonio De Almeida", "" ], [ "Adler", "Antonia", "" ], [ "Kersting", "Kristian", "" ] ]
Model inversion attacks (MIAs) aim to create synthetic images that reflect the class-wise characteristics from a target classifier's private training data by exploiting the model's learned knowledge. Previous research has developed generative MIAs that use generative adversarial networks (GANs) as image priors tailored...
2212.14133
Andrew O'Brien
Andrew O'Brien, Rosina Weber, Edward Kim
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals
null
null
null
null
cs.LG stat.ME
http://creativecommons.org/licenses/by/4.0/
The SINDy algorithm has been successfully used to identify the governing equations of dynamical systems from time series data. In this paper, we argue that this makes SINDy a potentially useful tool for causal discovery and that existing tools for causal discovery can be used to dramatically improve the performance o...
[ { "created": "Thu, 29 Dec 2022 00:32:24 GMT", "version": "v1" } ]
2023-01-02
[ [ "O'Brien", "Andrew", "" ], [ "Weber", "Rosina", "" ], [ "Kim", "Edward", "" ] ]
The SINDy algorithm has been successfully used to identify the governing equations of dynamical systems from time series data. In this paper, we argue that this makes SINDy a potentially useful tool for causal discovery and that existing tools for causal discovery can be used to dramatically improve the performance of ...
2112.11190
Omid Ziaee
Omid Ziaee, Mohsen Hamedi
Augmented reality applications in manufacturing and its future scope in Industry 4.0
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Augmented reality technology is one of the leading technologies in the context of Industry 4.0. The promising potential application of augmented reality in industrial production systems has received much attention, which led to the concept of industrial augmented reality. On the one hand, this technology provides a s...
[ { "created": "Fri, 3 Dec 2021 20:46:50 GMT", "version": "v1" } ]
2021-12-22
[ [ "Ziaee", "Omid", "" ], [ "Hamedi", "Mohsen", "" ] ]
Augmented reality technology is one of the leading technologies in the context of Industry 4.0. The promising potential application of augmented reality in industrial production systems has received much attention, which led to the concept of industrial augmented reality. On the one hand, this technology provides a sui...
1902.00389
Francesco Restuccia
Salvatore D'Oro and Francesco Restuccia and Alessandro Talamonti and Tommaso Melodia
The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems
Accepted for publication in IEEE INFOCOM 2019
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The notions of softwarization and virtualization of the radio access network (RAN) of next-generation (5G) wireless systems are ushering in a vision where applications and services are physically decoupled from devices and network infrastructure. This crucial aspect will ultimately enable the dynamic deployment of he...
[ { "created": "Fri, 1 Feb 2019 15:06:28 GMT", "version": "v1" } ]
2019-02-04
[ [ "D'Oro", "Salvatore", "" ], [ "Restuccia", "Francesco", "" ], [ "Talamonti", "Alessandro", "" ], [ "Melodia", "Tommaso", "" ] ]
The notions of softwarization and virtualization of the radio access network (RAN) of next-generation (5G) wireless systems are ushering in a vision where applications and services are physically decoupled from devices and network infrastructure. This crucial aspect will ultimately enable the dynamic deployment of hete...
2202.01115
Saeed Boor Boor
Saeed Boorboor, Shawn Mathew, Mala Ananth, David Talmage, Lorna W. Role, Arie E. Kaufman
NeuRegenerate: A Framework for Visualizing Neurodegeneration
Accepted for publication in IEEE Transactions on Visualization and Computer Graphics
null
10.1109/TVCG.2021.3127132
null
cs.LG cs.GR cs.HC eess.IV q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in high-resolution microscopy have allowed scientists to better understand the underlying brain connectivity. However, due to the limitation that biological specimens can only be imaged at a single timepoint, studying changes to neural projections is limited to general observations using population an...
[ { "created": "Wed, 2 Feb 2022 16:21:14 GMT", "version": "v1" } ]
2022-02-03
[ [ "Boorboor", "Saeed", "" ], [ "Mathew", "Shawn", "" ], [ "Ananth", "Mala", "" ], [ "Talmage", "David", "" ], [ "Role", "Lorna W.", "" ], [ "Kaufman", "Arie E.", "" ] ]
Recent advances in high-resolution microscopy have allowed scientists to better understand the underlying brain connectivity. However, due to the limitation that biological specimens can only be imaged at a single timepoint, studying changes to neural projections is limited to general observations using population anal...
2306.04968
Jun Zhao
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
Actively Supervised Clustering for Open Relation Extraction
Accepted by ACL2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current clustering-based Open Relation Extraction (OpenRE) methods usually adopt a two-stage pipeline. The first stage simultaneously learns relation representations and assignments. The second stage manually labels several instances and thus names the relation for each cluster. However, unsupervised objectives strug...
[ { "created": "Thu, 8 Jun 2023 06:55:02 GMT", "version": "v1" } ]
2023-06-09
[ [ "Zhao", "Jun", "" ], [ "Zhang", "Yongxin", "" ], [ "Zhang", "Qi", "" ], [ "Gui", "Tao", "" ], [ "Wei", "Zhongyu", "" ], [ "Peng", "Minlong", "" ], [ "Sun", "Mingming", "" ] ]
Current clustering-based Open Relation Extraction (OpenRE) methods usually adopt a two-stage pipeline. The first stage simultaneously learns relation representations and assignments. The second stage manually labels several instances and thus names the relation for each cluster. However, unsupervised objectives struggl...
1709.05038
Yang Xian
Yang Xian, Yingli Tian
Self-Guiding Multimodal LSTM - when we do not have a perfect training dataset for image captioning
The paper is under consideration at Computer Vision and Image Understanding
null
null
null
cs.CV cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a self-guiding multimodal LSTM (sg-LSTM) image captioning model is proposed to handle uncontrolled imbalanced real-world image-sentence dataset. We collect FlickrNYC dataset from Flickr as our testbed with 306,165 images and the original text descriptions uploaded by the users are utilized as the groun...
[ { "created": "Fri, 15 Sep 2017 02:53:16 GMT", "version": "v1" } ]
2017-09-18
[ [ "Xian", "Yang", "" ], [ "Tian", "Yingli", "" ] ]
In this paper, a self-guiding multimodal LSTM (sg-LSTM) image captioning model is proposed to handle uncontrolled imbalanced real-world image-sentence dataset. We collect FlickrNYC dataset from Flickr as our testbed with 306,165 images and the original text descriptions uploaded by the users are utilized as the ground ...
2109.14065
Subodh Mishra
Subodh Mishra, Armin Parchami, Enrique Corona, Punarjay Chakravarty, Ankit Vora, Devarth Parikh, Gaurav Pandey
Localization of a Smart Infrastructure Fisheye Camera in a Prior Map for Autonomous Vehicles
Submitted to ICRA 2022
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work presents a technique for localization of a smart infrastructure node, consisting of a fisheye camera, in a prior map. These cameras can detect objects that are outside the line of sight of the autonomous vehicles (AV) and send that information to AVs using V2X technology. However, in order for this informat...
[ { "created": "Tue, 28 Sep 2021 21:57:35 GMT", "version": "v1" } ]
2021-09-30
[ [ "Mishra", "Subodh", "" ], [ "Parchami", "Armin", "" ], [ "Corona", "Enrique", "" ], [ "Chakravarty", "Punarjay", "" ], [ "Vora", "Ankit", "" ], [ "Parikh", "Devarth", "" ], [ "Pandey", "Gaurav", "" ] ]
This work presents a technique for localization of a smart infrastructure node, consisting of a fisheye camera, in a prior map. These cameras can detect objects that are outside the line of sight of the autonomous vehicles (AV) and send that information to AVs using V2X technology. However, in order for this informatio...
1211.2287
Jie Xu
Jie Xu, Yu Zhang and Mihaela van der Schaar
Designing Rating Systems to Promote Mutual Security for Interconnected Networks
null
null
null
null
cs.GT cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interconnected autonomous systems often share security risks. However, an autonomous system lacks the incentive to make (sufficient) security investments if the cost exceeds its own benefit even though doing that would be socially beneficial. In this paper, we develop a systematic and rigorous framework for analyzing...
[ { "created": "Sat, 10 Nov 2012 03:36:00 GMT", "version": "v1" } ]
2012-11-13
[ [ "Xu", "Jie", "" ], [ "Zhang", "Yu", "" ], [ "van der Schaar", "Mihaela", "" ] ]
Interconnected autonomous systems often share security risks. However, an autonomous system lacks the incentive to make (sufficient) security investments if the cost exceeds its own benefit even though doing that would be socially beneficial. In this paper, we develop a systematic and rigorous framework for analyzing a...
2108.05781
Hamed Ahmadi
Hamed Ahmadi, Avishek Nag, Zaheer Khan, Kamran Sayrafian, Susanto Rahadrja
Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G
Accepted for publication at IEEE Communications Standards Magazine
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital Twin (DT) is a promising technology for the new immersive digital life with a variety of applications in areas such as Industry 4.0, aviation, and healthcare. Proliferation of this technology requires higher data rates, reliability, resilience, and lower latency beyond what is currently offered by 5G. Thus, D...
[ { "created": "Thu, 12 Aug 2021 14:47:34 GMT", "version": "v1" } ]
2021-08-13
[ [ "Ahmadi", "Hamed", "" ], [ "Nag", "Avishek", "" ], [ "Khan", "Zaheer", "" ], [ "Sayrafian", "Kamran", "" ], [ "Rahadrja", "Susanto", "" ] ]
Digital Twin (DT) is a promising technology for the new immersive digital life with a variety of applications in areas such as Industry 4.0, aviation, and healthcare. Proliferation of this technology requires higher data rates, reliability, resilience, and lower latency beyond what is currently offered by 5G. Thus, DT ...
1604.05747
Francesco Maria Elia
Francesco Elia
Syntactic and semantic classification of verb arguments using dependency-based and rich semantic features
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Corpus Pattern Analysis (CPA) has been the topic of Semeval 2015 Task 15, aimed at producing a system that can aid lexicographers in their efforts to build a dictionary of meanings for English verbs using the CPA annotation process. CPA parsing is one of the subtasks which this annotation process is made of and it is...
[ { "created": "Tue, 19 Apr 2016 20:59:32 GMT", "version": "v1" } ]
2016-04-21
[ [ "Elia", "Francesco", "" ] ]
Corpus Pattern Analysis (CPA) has been the topic of Semeval 2015 Task 15, aimed at producing a system that can aid lexicographers in their efforts to build a dictionary of meanings for English verbs using the CPA annotation process. CPA parsing is one of the subtasks which this annotation process is made of and it is t...
2303.04835
Alexandra Bremers
Alexandra Bremers, Maria Teresa Parreira, Xuanyu Fang, Natalie Friedman, Adolfo Ramirez-Aristizabal, Alexandria Pabst, Mirjana Spasojevic, Michael Kuniavsky, Wendy Ju
The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI
12 pages
null
null
null
cs.RO cs.HC
http://creativecommons.org/licenses/by/4.0/
For a robot to repair its own error, it must first know it has made a mistake. One way that people detect errors is from the implicit reactions from bystanders -- their confusion, smirks, or giggles clue us in that something unexpected occurred. To enable robots to detect and act on bystander responses to task failur...
[ { "created": "Wed, 8 Mar 2023 19:13:18 GMT", "version": "v1" } ]
2023-03-10
[ [ "Bremers", "Alexandra", "" ], [ "Parreira", "Maria Teresa", "" ], [ "Fang", "Xuanyu", "" ], [ "Friedman", "Natalie", "" ], [ "Ramirez-Aristizabal", "Adolfo", "" ], [ "Pabst", "Alexandria", "" ], [ "Spasojevic", ...
For a robot to repair its own error, it must first know it has made a mistake. One way that people detect errors is from the implicit reactions from bystanders -- their confusion, smirks, or giggles clue us in that something unexpected occurred. To enable robots to detect and act on bystander responses to task failures...
2306.05815
Francesco Tonin
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
15 pages, ICML 2023
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of this paper is to revisit Kernel Principal Component Analysis (KPCA) through dualization of a difference of convex functions. This allows to naturally extend KPCA to multiple objective functions and leads to efficient gradient-based algorithms avoiding the expensive SVD of the Gram matrix. Particularly, we...
[ { "created": "Fri, 9 Jun 2023 11:27:35 GMT", "version": "v1" } ]
2023-06-12
[ [ "Tonin", "Francesco", "" ], [ "Lambert", "Alex", "" ], [ "Patrinos", "Panagiotis", "" ], [ "Suykens", "Johan A. K.", "" ] ]
The goal of this paper is to revisit Kernel Principal Component Analysis (KPCA) through dualization of a difference of convex functions. This allows to naturally extend KPCA to multiple objective functions and leads to efficient gradient-based algorithms avoiding the expensive SVD of the Gram matrix. Particularly, we c...
1611.08103
Guangming Lang
Guangming Lang
Double-quantitative $\gamma^{\ast}-$fuzzy coverings approximation operators
It enriches the fuzzy covering rough set theory
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In digital-based information boom, the fuzzy covering rough set model is an important mathematical tool for artificial intelligence, and how to build the bridge between the fuzzy covering rough set theory and Pawlak's model is becoming a hot research topic. In this paper, we first present the $\gamma-$fuzzy covering ...
[ { "created": "Thu, 24 Nov 2016 09:06:57 GMT", "version": "v1" } ]
2016-11-28
[ [ "Lang", "Guangming", "" ] ]
In digital-based information boom, the fuzzy covering rough set model is an important mathematical tool for artificial intelligence, and how to build the bridge between the fuzzy covering rough set theory and Pawlak's model is becoming a hot research topic. In this paper, we first present the $\gamma-$fuzzy covering ba...
2407.11217
David Saulpic
Max Dupr\'e la Tour, David Saulpic
Almost-linear Time Approximation Algorithm to Euclidean $k$-median and $k$-means
null
null
null
null
cs.DS cs.AI
http://creativecommons.org/licenses/by/4.0/
Clustering is one of the staples of data analysis and unsupervised learning. As such, clustering algorithms are often used on massive data sets, and they need to be extremely fast. We focus on the Euclidean $k$-median and $k$-means problems, two of the standard ways to model the task of clustering. For these, the g...
[ { "created": "Mon, 15 Jul 2024 20:04:06 GMT", "version": "v1" } ]
2024-07-17
[ [ "la Tour", "Max Dupré", "" ], [ "Saulpic", "David", "" ] ]
Clustering is one of the staples of data analysis and unsupervised learning. As such, clustering algorithms are often used on massive data sets, and they need to be extremely fast. We focus on the Euclidean $k$-median and $k$-means problems, two of the standard ways to model the task of clustering. For these, the go-to...
2006.13063
Gabriel De Souza Pereira Moreira
Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha
Hybrid Session-based News Recommendation using Recurrent Neural Networks
From the Proceeding of the LatinX in AI Research (LXAI) at ICML 2020. arXiv admin note: text overlap with arXiv:1904.10367
null
null
null
cs.LG cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a hybrid meta-architecture -- the CHAMELEON -- for session-based news recommendation that is able to leverage a variety of information types using Recurrent Neural Networks. We evaluated our approach on two public datasets, using a temporal evaluation protocol that simulates the dynamics of a news portal ...
[ { "created": "Mon, 22 Jun 2020 17:24:43 GMT", "version": "v1" } ]
2020-06-24
[ [ "Moreira", "Gabriel de Souza P.", "" ], [ "Jannach", "Dietmar", "" ], [ "da Cunha", "Adilson Marques", "" ] ]
We describe a hybrid meta-architecture -- the CHAMELEON -- for session-based news recommendation that is able to leverage a variety of information types using Recurrent Neural Networks. We evaluated our approach on two public datasets, using a temporal evaluation protocol that simulates the dynamics of a news portal in...
1803.03586
Qi Zhang
Qi Zhang, Jianhui Liu, and Guodong Zhao
Towards 5G Enabled Tactile Robotic Telesurgery
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic telesurgery has a potential to provide extreme and urgent health care services and bring unprecedented opportunities to deliver highly specialized skills globally. It has a significant societal impact and is regarded as one of the appealing use cases of Tactile Internet and 5G applications. However, the perfo...
[ { "created": "Fri, 9 Mar 2018 16:16:42 GMT", "version": "v1" } ]
2018-03-12
[ [ "Zhang", "Qi", "" ], [ "Liu", "Jianhui", "" ], [ "Zhao", "Guodong", "" ] ]
Robotic telesurgery has a potential to provide extreme and urgent health care services and bring unprecedented opportunities to deliver highly specialized skills globally. It has a significant societal impact and is regarded as one of the appealing use cases of Tactile Internet and 5G applications. However, the perform...
2212.06123
Ambra Demontis Ph.D.
Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
null
null
null
null
cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning allows machines to learn from their own experience. Nowadays, it is used in safety-critical applications, such as autonomous driving, despite being vulnerable to attacks carefully crafted to either prevent that the reinforcement learning algorithm learns an effective and reliable policy, or to ...
[ { "created": "Mon, 12 Dec 2022 18:50:49 GMT", "version": "v1" } ]
2022-12-13
[ [ "Demontis", "Ambra", "" ], [ "Pintor", "Maura", "" ], [ "Demetrio", "Luca", "" ], [ "Grosse", "Kathrin", "" ], [ "Lin", "Hsiao-Ying", "" ], [ "Fang", "Chengfang", "" ], [ "Biggio", "Battista", "" ], [ ...
Reinforcement learning allows machines to learn from their own experience. Nowadays, it is used in safety-critical applications, such as autonomous driving, despite being vulnerable to attacks carefully crafted to either prevent that the reinforcement learning algorithm learns an effective and reliable policy, or to in...
2211.09171
Fabio Saggese
Fabio Saggese, Federico Chiariotti, Kimmo Kansanen, Petar Popovski
Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking
Submitted to ICC 2023, the copyright may be transferred without further notice
null
null
null
cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of Reconfigurable Intelligent Surfaces (RIS) technology to extend coverage and allow for better control of the wireless environment has been proposed in several use cases, including Ultra-Reliable Low-Latency Communications (URLLC), communications. However, the extremely challenging latency constraint makes e...
[ { "created": "Wed, 16 Nov 2022 19:41:15 GMT", "version": "v1" } ]
2022-11-18
[ [ "Saggese", "Fabio", "" ], [ "Chiariotti", "Federico", "" ], [ "Kansanen", "Kimmo", "" ], [ "Popovski", "Petar", "" ] ]
The use of Reconfigurable Intelligent Surfaces (RIS) technology to extend coverage and allow for better control of the wireless environment has been proposed in several use cases, including Ultra-Reliable Low-Latency Communications (URLLC), communications. However, the extremely challenging latency constraint makes exp...
1210.2984
Francesca A. Lisi
Francesca A. Lisi
Learning Onto-Relational Rules with Inductive Logic Programming
18 pages. arXiv admin note: text overlap with arXiv:1003.2586
null
null
null
cs.AI cs.DB cs.LG cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rules complement and extend ontologies on the Semantic Web. We refer to these rules as onto-relational since they combine DL-based ontology languages and Knowledge Representation formalisms supporting the relational data model within the tradition of Logic Programming and Deductive Databases. Rule authoring is a very...
[ { "created": "Wed, 10 Oct 2012 16:56:41 GMT", "version": "v1" }, { "created": "Mon, 29 Oct 2012 18:25:34 GMT", "version": "v2" } ]
2012-10-30
[ [ "Lisi", "Francesca A.", "" ] ]
Rules complement and extend ontologies on the Semantic Web. We refer to these rules as onto-relational since they combine DL-based ontology languages and Knowledge Representation formalisms supporting the relational data model within the tradition of Logic Programming and Deductive Databases. Rule authoring is a very d...
1805.02974
Sepehr Assadi
Sepehr Assadi, Xiaorui Sun, Omri Weinstein
Massively Parallel Algorithms for Finding Well-Connected Components in Sparse Graphs
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental question that shrouds the emergence of massively parallel computing (MPC) platforms is how can the additional power of the MPC paradigm be leveraged to achieve faster algorithms compared to classical parallel models such as PRAM? Previous research has identified the sparse graph connectivity problem a...
[ { "created": "Tue, 8 May 2018 12:29:21 GMT", "version": "v1" } ]
2018-05-09
[ [ "Assadi", "Sepehr", "" ], [ "Sun", "Xiaorui", "" ], [ "Weinstein", "Omri", "" ] ]
A fundamental question that shrouds the emergence of massively parallel computing (MPC) platforms is how can the additional power of the MPC paradigm be leveraged to achieve faster algorithms compared to classical parallel models such as PRAM? Previous research has identified the sparse graph connectivity problem as a ...
2007.07221
Jishan Shaikh
Jishan Shaikh, Adya Sharma, Ankit Chouhan, Avinash Mahawar
Alpha-Net: Architecture, Models, and Applications
13 pages, 8 figures, project paper preprint
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning network training is usually computationally expensive and intuitively complex. We present a novel network architecture for custom training and weight evaluations. We reformulate the layers as ResNet-similar blocks with certain inputs and outputs of their own, the blocks (called Alpha blocks) on their co...
[ { "created": "Sat, 27 Jun 2020 05:05:01 GMT", "version": "v1" } ]
2020-07-15
[ [ "Shaikh", "Jishan", "" ], [ "Sharma", "Adya", "" ], [ "Chouhan", "Ankit", "" ], [ "Mahawar", "Avinash", "" ] ]
Deep learning network training is usually computationally expensive and intuitively complex. We present a novel network architecture for custom training and weight evaluations. We reformulate the layers as ResNet-similar blocks with certain inputs and outputs of their own, the blocks (called Alpha blocks) on their conn...
2101.01713
Naoto Inoue
Naoto Inoue, Toshihiko Yamasaki
Learning from Synthetic Shadows for Shadow Detection and Removal
Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), v2: fixed typos
null
10.1109/TCSVT.2020.3047977
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Shadow removal is an essential task in computer vision and computer graphics. Recent shadow removal approaches all train convolutional neural networks (CNN) on real paired shadow/shadow-free or shadow/shadow-free/mask image datasets. However, obtaining a large-scale, diverse, and accurate dataset has been a big chall...
[ { "created": "Tue, 5 Jan 2021 18:56:34 GMT", "version": "v1" }, { "created": "Sat, 13 Feb 2021 06:40:05 GMT", "version": "v2" } ]
2021-02-16
[ [ "Inoue", "Naoto", "" ], [ "Yamasaki", "Toshihiko", "" ] ]
Shadow removal is an essential task in computer vision and computer graphics. Recent shadow removal approaches all train convolutional neural networks (CNN) on real paired shadow/shadow-free or shadow/shadow-free/mask image datasets. However, obtaining a large-scale, diverse, and accurate dataset has been a big challen...