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2106.01416
Absalom Ezugwu
Olaide N. Oyelade and Absalom E. Ezugwu
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Ebola virus and the disease in effect tend to randomly move individuals in the population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub-population. Motivated by the effectiveness in propagating the disease through the virus, a new bio-inspired and population-based optimization a...
[ { "created": "Wed, 2 Jun 2021 18:41:56 GMT", "version": "v1" }, { "created": "Sat, 19 Jun 2021 21:02:53 GMT", "version": "v2" } ]
2021-06-22
[ [ "Oyelade", "Olaide N.", "" ], [ "Ezugwu", "Absalom E.", "" ] ]
The Ebola virus and the disease in effect tend to randomly move individuals in the population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub-population. Motivated by the effectiveness in propagating the disease through the virus, a new bio-inspired and population-based optimization alg...
1904.02832
Dacheng Tao
Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao
A Regularization Approach for Instance-Based Superset Label Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Different from the traditional supervised learning in which each training example has only one explicit label, superset label learning (SLL) refers to the problem that a training example can be associated with a set of candidate labels, and only one of them is correct. Existing SLL methods are either regularization-b...
[ { "created": "Fri, 5 Apr 2019 00:22:26 GMT", "version": "v1" } ]
2019-04-08
[ [ "Gong", "Chen", "" ], [ "Liu", "Tongliang", "" ], [ "Tang", "Yuanyan", "" ], [ "Yang", "Jian", "" ], [ "Yang", "Jie", "" ], [ "Tao", "Dacheng", "" ] ]
Different from the traditional supervised learning in which each training example has only one explicit label, superset label learning (SLL) refers to the problem that a training example can be associated with a set of candidate labels, and only one of them is correct. Existing SLL methods are either regularization-bas...
2402.16479
Jin Ding
Jin Ding, Jie-Chao Zhao, Yong-Zhi Sun, Ping Tan, Jia-Wei Wang, Ji-En Ma, You-Tong Fang
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust
26 pages, 18 figures, 7 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep convolutional neural networks (DCNN for short) are vulnerable to examples with small perturbations. Improving DCNN's robustness is of great significance to the safety-critical applications, such as autonomous driving and industry automation. Inspired by the principal way that human eyes recognize objects, i.e., ...
[ { "created": "Mon, 26 Feb 2024 10:54:26 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 02:53:00 GMT", "version": "v2" } ]
2024-07-25
[ [ "Ding", "Jin", "" ], [ "Zhao", "Jie-Chao", "" ], [ "Sun", "Yong-Zhi", "" ], [ "Tan", "Ping", "" ], [ "Wang", "Jia-Wei", "" ], [ "Ma", "Ji-En", "" ], [ "Fang", "You-Tong", "" ] ]
Deep convolutional neural networks (DCNN for short) are vulnerable to examples with small perturbations. Improving DCNN's robustness is of great significance to the safety-critical applications, such as autonomous driving and industry automation. Inspired by the principal way that human eyes recognize objects, i.e., la...
2204.08962
Joshua Mack
Joshua Mack, Sahil Hassan, Nirmal Kumbhare, Miguel Castro-Gonzalez, Ali Akoglu
CEDR -- A Compiler-integrated, Extensible DSSoC Runtime
35 pages single column, 16 figures, 7 tables. Accepted for publication in the ACM Transactions on Embedded and Computing Systems
null
10.1145/3529257
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we present CEDR, a Compiler-integrated, Extensible Domain Specific System on Chip Runtime ecosystem to facilitate research towards addressing the challenges of architecture, system software and application development with distinct plug-and-play integration points in a unified compile time and run time ...
[ { "created": "Fri, 15 Apr 2022 19:54:39 GMT", "version": "v1" } ]
2022-04-20
[ [ "Mack", "Joshua", "" ], [ "Hassan", "Sahil", "" ], [ "Kumbhare", "Nirmal", "" ], [ "Castro-Gonzalez", "Miguel", "" ], [ "Akoglu", "Ali", "" ] ]
In this work, we present CEDR, a Compiler-integrated, Extensible Domain Specific System on Chip Runtime ecosystem to facilitate research towards addressing the challenges of architecture, system software and application development with distinct plug-and-play integration points in a unified compile time and run time wo...
2309.08414
Bernhard Bermeitinger
Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
Make Deep Networks Shallow Again
to be published at KDIR2023, Rome
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR2023
10.5220/0012203800003598
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Deep neural networks have a good success record and are thus viewed as the best architecture choice for complex applications. Their main shortcoming has been, for a long time, the vanishing gradient which prevented the numerical optimization algorithms from acceptable convergence. A breakthrough has been achieved by ...
[ { "created": "Fri, 15 Sep 2023 14:18:21 GMT", "version": "v1" } ]
2024-05-02
[ [ "Bermeitinger", "Bernhard", "" ], [ "Hrycej", "Tomas", "" ], [ "Handschuh", "Siegfried", "" ] ]
Deep neural networks have a good success record and are thus viewed as the best architecture choice for complex applications. Their main shortcoming has been, for a long time, the vanishing gradient which prevented the numerical optimization algorithms from acceptable convergence. A breakthrough has been achieved by th...
2107.05050
Ben Hayes
Ben Hayes, Charalampos Saitis, Gy\"orgy Fazekas
Neural Waveshaping Synthesis
Accepted to ISMIR 2021; See online supplement at https://benhayes.net/projects/nws/
null
null
null
cs.SD cs.LG eess.AS eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the Neural Waveshaping Unit (NEWT): a novel, lightweight, fully causal approach to neural audio synthesis which operates directly in the waveform domain, with an accompanying optimisation (FastNEWT) for efficient CPU inference. The NEWT uses time-distributed multilayer perceptrons with periodic activations...
[ { "created": "Sun, 11 Jul 2021 13:50:59 GMT", "version": "v1" }, { "created": "Tue, 27 Jul 2021 14:28:39 GMT", "version": "v2" } ]
2021-07-28
[ [ "Hayes", "Ben", "" ], [ "Saitis", "Charalampos", "" ], [ "Fazekas", "György", "" ] ]
We present the Neural Waveshaping Unit (NEWT): a novel, lightweight, fully causal approach to neural audio synthesis which operates directly in the waveform domain, with an accompanying optimisation (FastNEWT) for efficient CPU inference. The NEWT uses time-distributed multilayer perceptrons with periodic activations t...
1805.08180
Andrew Levy
Andrew Levy, Robert Platt, Kate Saenko
Hierarchical Reinforcement Learning with Hindsight
Duplicate. See arXiv:1712.00948 "Learning Multi-Level Hierarchies with Hindsight" for latest version
null
null
null
cs.LG cs.AI cs.NE cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement Learning (RL) algorithms can suffer from poor sample efficiency when rewards are delayed and sparse. We introduce a solution that enables agents to learn temporally extended actions at multiple levels of abstraction in a sample efficient and automated fashion. Our approach combines universal value funct...
[ { "created": "Mon, 21 May 2018 17:02:53 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2019 17:52:47 GMT", "version": "v2" } ]
2019-03-11
[ [ "Levy", "Andrew", "" ], [ "Platt", "Robert", "" ], [ "Saenko", "Kate", "" ] ]
Reinforcement Learning (RL) algorithms can suffer from poor sample efficiency when rewards are delayed and sparse. We introduce a solution that enables agents to learn temporally extended actions at multiple levels of abstraction in a sample efficient and automated fashion. Our approach combines universal value functio...
2001.00336
Thatchaphol Saranurak
Sayan Bhattacharya, Danupon Nanongkai, Thatchaphol Saranurak
Coarse-Grained Complexity for Dynamic Algorithms
Published at SODA 2020. The abstract is truncated
null
null
null
cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To date, the only way to argue polynomial lower bounds for dynamic algorithms is via fine-grained complexity arguments. These arguments rely on strong assumptions about specific problems such as the Strong Exponential Time Hypothesis (SETH) and the Online Matrix-Vector Multiplication Conjecture (OMv). While they have...
[ { "created": "Thu, 2 Jan 2020 06:14:54 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2023 13:55:49 GMT", "version": "v2" } ]
2023-07-27
[ [ "Bhattacharya", "Sayan", "" ], [ "Nanongkai", "Danupon", "" ], [ "Saranurak", "Thatchaphol", "" ] ]
To date, the only way to argue polynomial lower bounds for dynamic algorithms is via fine-grained complexity arguments. These arguments rely on strong assumptions about specific problems such as the Strong Exponential Time Hypothesis (SETH) and the Online Matrix-Vector Multiplication Conjecture (OMv). While they have l...
2302.00378
Mohammad Akbar-Tajari
Mohammad Akbar-Tajari, Sara Rajaee, and Mohammad Taher Pilehvar
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning
Accepted at EMNLP 2022 (main conference), https://aclanthology.org/2022.emnlp-main.726
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Parameter-efficient fine-tuning approaches have recently garnered a lot of attention. Having considerably lower number of trainable weights, these methods can bring about scalability and computational effectiveness. In this paper, we look for optimal sub-networks and investigate the capability of different transforme...
[ { "created": "Wed, 1 Feb 2023 11:20:18 GMT", "version": "v1" }, { "created": "Wed, 22 Feb 2023 16:56:58 GMT", "version": "v2" } ]
2023-02-23
[ [ "Akbar-Tajari", "Mohammad", "" ], [ "Rajaee", "Sara", "" ], [ "Pilehvar", "Mohammad Taher", "" ] ]
Parameter-efficient fine-tuning approaches have recently garnered a lot of attention. Having considerably lower number of trainable weights, these methods can bring about scalability and computational effectiveness. In this paper, we look for optimal sub-networks and investigate the capability of different transformer ...
2404.00576
Rizwan Muhammad
PoTsang B. Huang, Muhammad Rizwan, and Mehboob Ali
Automated Bi-Fold Weighted Ensemble Algorithms and its Application to Brain Tumor Detection and Classification
null
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
The uncontrolled and unstructured growth of brain cells is known as brain tumor, which has one of the highest mortality rates among diseases from all types of cancers. Due to limited diagnostic and treatment capabilities, they pose significant challenges, especially in third-world countries. Early diagnosis plays a v...
[ { "created": "Sun, 31 Mar 2024 06:38:08 GMT", "version": "v1" } ]
2024-04-02
[ [ "Huang", "PoTsang B.", "" ], [ "Rizwan", "Muhammad", "" ], [ "Ali", "Mehboob", "" ] ]
The uncontrolled and unstructured growth of brain cells is known as brain tumor, which has one of the highest mortality rates among diseases from all types of cancers. Due to limited diagnostic and treatment capabilities, they pose significant challenges, especially in third-world countries. Early diagnosis plays a vit...
1903.01344
Zhou Fan
Zhou Fan, Rui Su, Weinan Zhang and Yong Yu
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
null
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a hybrid architecture of actor-critic algorithms for reinforcement learning in parameterized action space, which consists of multiple parallel sub-actor networks to decompose the structured action space into simpler action spaces along with a critic network to guide the training of all sub-ac...
[ { "created": "Mon, 4 Mar 2019 16:33:15 GMT", "version": "v1" }, { "created": "Sat, 25 May 2019 08:32:06 GMT", "version": "v2" }, { "created": "Thu, 30 May 2019 13:02:58 GMT", "version": "v3" } ]
2019-05-31
[ [ "Fan", "Zhou", "" ], [ "Su", "Rui", "" ], [ "Zhang", "Weinan", "" ], [ "Yu", "Yong", "" ] ]
In this paper we propose a hybrid architecture of actor-critic algorithms for reinforcement learning in parameterized action space, which consists of multiple parallel sub-actor networks to decompose the structured action space into simpler action spaces along with a critic network to guide the training of all sub-acto...
2302.08783
Amit Attia
Amit Attia and Tomer Koren
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
27 pages
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study Stochastic Gradient Descent with AdaGrad stepsizes: a popular adaptive (self-tuning) method for first-order stochastic optimization. Despite being well studied, existing analyses of this method suffer from various shortcomings: they either assume some knowledge of the problem parameters, impose strong global...
[ { "created": "Fri, 17 Feb 2023 09:46:08 GMT", "version": "v1" }, { "created": "Sun, 11 Jun 2023 15:59:35 GMT", "version": "v2" } ]
2023-06-13
[ [ "Attia", "Amit", "" ], [ "Koren", "Tomer", "" ] ]
We study Stochastic Gradient Descent with AdaGrad stepsizes: a popular adaptive (self-tuning) method for first-order stochastic optimization. Despite being well studied, existing analyses of this method suffer from various shortcomings: they either assume some knowledge of the problem parameters, impose strong global L...
2101.07172
Chien-Hsiang Huang
Chien-Hsiang Huang, Hung-Yu Wu, and Youn-Long Lin
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
We propose a new convolution neural network called HarDNet-MSEG for polyp segmentation. It achieves SOTA in both accuracy and inference speed on five popular datasets. For Kvasir-SEG, HarDNet-MSEG delivers 0.904 mean Dice running at 86.7 FPS on a GeForce RTX 2080 Ti GPU. It consists of a backbone and a decoder. The b...
[ { "created": "Mon, 18 Jan 2021 17:20:11 GMT", "version": "v1" }, { "created": "Wed, 20 Jan 2021 15:58:47 GMT", "version": "v2" } ]
2021-01-21
[ [ "Huang", "Chien-Hsiang", "" ], [ "Wu", "Hung-Yu", "" ], [ "Lin", "Youn-Long", "" ] ]
We propose a new convolution neural network called HarDNet-MSEG for polyp segmentation. It achieves SOTA in both accuracy and inference speed on five popular datasets. For Kvasir-SEG, HarDNet-MSEG delivers 0.904 mean Dice running at 86.7 FPS on a GeForce RTX 2080 Ti GPU. It consists of a backbone and a decoder. The bac...
2303.10888
Chanjun Park
Chanjun Park, Hyeonseok Moon, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo and Heuiseok Lim
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Leaderboard systems allow researchers to objectively evaluate Natural Language Processing (NLP) models and are typically used to identify models that exhibit superior performance on a given task in a predetermined setting. However, we argue that evaluation on a given test dataset is just one of many performance indic...
[ { "created": "Mon, 20 Mar 2023 06:13:03 GMT", "version": "v1" } ]
2023-03-21
[ [ "Park", "Chanjun", "" ], [ "Moon", "Hyeonseok", "" ], [ "Lee", "Seolhwa", "" ], [ "Seo", "Jaehyung", "" ], [ "Eo", "Sugyeong", "" ], [ "Lim", "Heuiseok", "" ] ]
Leaderboard systems allow researchers to objectively evaluate Natural Language Processing (NLP) models and are typically used to identify models that exhibit superior performance on a given task in a predetermined setting. However, we argue that evaluation on a given test dataset is just one of many performance indicat...
1706.06246
Shuling Wang
Dimitar Guelev, Shuling Wang, Naijun Zhan
Compositional Hoare-style Reasoning about Hybrid CSP in the Duration Calculus
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deductive methods for the verification of hybrid systems vary on the format of statements in correctness proofs. Building on the example of Hoare triple-based reasoning, we have investigated several such methods for systems described in Hybrid CSP, each based on a different assertion language, notation for time, and ...
[ { "created": "Tue, 20 Jun 2017 02:44:22 GMT", "version": "v1" }, { "created": "Wed, 28 Jun 2017 02:13:04 GMT", "version": "v2" } ]
2017-06-29
[ [ "Guelev", "Dimitar", "" ], [ "Wang", "Shuling", "" ], [ "Zhan", "Naijun", "" ] ]
Deductive methods for the verification of hybrid systems vary on the format of statements in correctness proofs. Building on the example of Hoare triple-based reasoning, we have investigated several such methods for systems described in Hybrid CSP, each based on a different assertion language, notation for time, and no...
1803.07180
Abraham P. Vinod
Abraham P. Vinod and Meeko M. K. Oishi
Probabilistic Occupancy Function and Sets Using Forward Stochastic Reachability for Rigid-Body Dynamic Obstacles
Updated text for submission to IEEE Transactions on Automatic Control
null
null
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present theory and algorithms for the computation of probability-weighted "keep-out" sets to assure probabilistically safe navigation in the presence of multiple rigid body obstacles with stochastic dynamics. Our forward stochastic reachability-based approach characterizes the stochasticity of the future obstacle ...
[ { "created": "Mon, 19 Mar 2018 22:15:28 GMT", "version": "v1" }, { "created": "Wed, 19 Sep 2018 04:27:27 GMT", "version": "v2" } ]
2018-09-20
[ [ "Vinod", "Abraham P.", "" ], [ "Oishi", "Meeko M. K.", "" ] ]
We present theory and algorithms for the computation of probability-weighted "keep-out" sets to assure probabilistically safe navigation in the presence of multiple rigid body obstacles with stochastic dynamics. Our forward stochastic reachability-based approach characterizes the stochasticity of the future obstacle st...
2101.00433
Michael Saxon
Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
Modeling Disclosive Transparency in NLP Application Descriptions
To appear at EMNLP 2021. 15 pages, 10 figures, 7 tables
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp 2023-2037
10.18653/v1/2021.emnlp-main.153
null
cs.CL cs.AI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Broader disclosive transparency$-$truth and clarity in communication regarding the function of AI systems$-$is widely considered desirable. Unfortunately, it is a nebulous concept, difficult to both define and quantify. This is problematic, as previous work has demonstrated possible trade-offs and negative consequenc...
[ { "created": "Sat, 2 Jan 2021 11:46:17 GMT", "version": "v1" }, { "created": "Sat, 17 Apr 2021 03:42:18 GMT", "version": "v2" }, { "created": "Fri, 27 Aug 2021 03:30:20 GMT", "version": "v3" }, { "created": "Fri, 10 Sep 2021 17:54:54 GMT", "version": "v4" } ]
2022-05-26
[ [ "Saxon", "Michael", "" ], [ "Levy", "Sharon", "" ], [ "Wang", "Xinyi", "" ], [ "Albalak", "Alon", "" ], [ "Wang", "William Yang", "" ] ]
Broader disclosive transparency$-$truth and clarity in communication regarding the function of AI systems$-$is widely considered desirable. Unfortunately, it is a nebulous concept, difficult to both define and quantify. This is problematic, as previous work has demonstrated possible trade-offs and negative consequences...
2012.01411
Fangjinhua Wang
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys
PatchmatchNet: Learned Multi-View Patchmatch Stereo
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, PatchmatchNet can process higher resolution imagery and is more suited to run on resource limited devices than competitors that employ 3D cos...
[ { "created": "Wed, 2 Dec 2020 18:59:02 GMT", "version": "v1" } ]
2020-12-03
[ [ "Wang", "Fangjinhua", "" ], [ "Galliani", "Silvano", "" ], [ "Vogel", "Christoph", "" ], [ "Speciale", "Pablo", "" ], [ "Pollefeys", "Marc", "" ] ]
We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, PatchmatchNet can process higher resolution imagery and is more suited to run on resource limited devices than competitors that employ 3D cost ...
2010.02977
Hirokazu Kameoka
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
For more details on the baseline method used for comparison, please refer to our article in arXiv:2008.12604
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a non-parallel any-to-many voice conversion (VC) method termed VoiceGrad. Inspired by WaveGrad, a recently introduced novel waveform generation method, VoiceGrad is based upon the concepts of score matching and Langevin dynamics. It uses weighted denoising score matching to train a score app...
[ { "created": "Tue, 6 Oct 2020 19:09:37 GMT", "version": "v1" }, { "created": "Sat, 10 Oct 2020 09:59:40 GMT", "version": "v2" }, { "created": "Sat, 9 Mar 2024 16:30:50 GMT", "version": "v3" } ]
2024-03-12
[ [ "Kameoka", "Hirokazu", "" ], [ "Kaneko", "Takuhiro", "" ], [ "Tanaka", "Kou", "" ], [ "Hojo", "Nobukatsu", "" ], [ "Seki", "Shogo", "" ] ]
In this paper, we propose a non-parallel any-to-many voice conversion (VC) method termed VoiceGrad. Inspired by WaveGrad, a recently introduced novel waveform generation method, VoiceGrad is based upon the concepts of score matching and Langevin dynamics. It uses weighted denoising score matching to train a score appro...
1803.08394
Andrey Kuehlkamp
Andrey Kuehlkamp and Kevin Bowyer
Found a good match: should I keep searching? - Accuracy and Performance in Iris Matching Using 1-to-First Search
null
Image and Vision Computing vol 73, May 2018, pp. 17-27
10.1016/j.imavis.2018.03.003
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program. Large enrollment sizes can require special optimizations in order to achieve fast database searches. One such optimization that has been used in some operational scena...
[ { "created": "Thu, 22 Mar 2018 15:07:53 GMT", "version": "v1" } ]
2018-04-20
[ [ "Kuehlkamp", "Andrey", "" ], [ "Bowyer", "Kevin", "" ] ]
Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program. Large enrollment sizes can require special optimizations in order to achieve fast database searches. One such optimization that has been used in some operational scenari...
1708.06850
Enoch Yeung Ph.D.
Enoch Yeung, Soumya Kundu, Nathan Hodas
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
16 pages, 5 figures
null
null
null
cs.LG cs.AI math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Koopman operator has recently garnered much attention for its value in dynamical systems analysis and data-driven model discovery. However, its application has been hindered by the computational complexity of extended dynamic mode decomposition; this requires a combinatorially large basis set to adequately descri...
[ { "created": "Tue, 22 Aug 2017 23:32:19 GMT", "version": "v1" }, { "created": "Fri, 17 Nov 2017 19:36:19 GMT", "version": "v2" } ]
2017-12-11
[ [ "Yeung", "Enoch", "" ], [ "Kundu", "Soumya", "" ], [ "Hodas", "Nathan", "" ] ]
The Koopman operator has recently garnered much attention for its value in dynamical systems analysis and data-driven model discovery. However, its application has been hindered by the computational complexity of extended dynamic mode decomposition; this requires a combinatorially large basis set to adequately describe...
1811.01768
Isabella Pozzi
Isabella Pozzi, Sander Boht\'e and Pieter Roelfsema
A Biologically Plausible Learning Rule for Deep Learning in the Brain
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning by artificial neural networks are biologically unrealistic and would need to be replaced by b...
[ { "created": "Mon, 5 Nov 2018 15:01:59 GMT", "version": "v1" }, { "created": "Fri, 28 Jun 2019 07:37:39 GMT", "version": "v2" }, { "created": "Tue, 2 Jul 2019 09:45:26 GMT", "version": "v3" } ]
2019-07-03
[ [ "Pozzi", "Isabella", "" ], [ "Bohté", "Sander", "" ], [ "Roelfsema", "Pieter", "" ] ]
Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain. However, the methods used for deep learning by artificial neural networks are biologically unrealistic and would need to be replaced by bio...
2202.05917
Delaram Kahrobaei
Delaram Kahrobaei, Ram\'on Flores, Marialaura Noce
Group-based Cryptography in the Quantum Era
To appear in the Notices of the American Mathematical Society
null
null
null
cs.CR math.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this expository article we present an overview of the current state-of-the-art in post-quantum group-based cryptography. We describe several families of groups that have been proposed as platforms, with special emphasis in polycyclic groups and graph groups, dealing in particular with their algorithmic properties ...
[ { "created": "Fri, 11 Feb 2022 22:01:45 GMT", "version": "v1" }, { "created": "Sat, 19 Feb 2022 17:22:40 GMT", "version": "v2" }, { "created": "Thu, 24 Feb 2022 15:01:28 GMT", "version": "v3" }, { "created": "Tue, 17 Jan 2023 11:52:12 GMT", "version": "v4" } ]
2023-01-18
[ [ "Kahrobaei", "Delaram", "" ], [ "Flores", "Ramón", "" ], [ "Noce", "Marialaura", "" ] ]
In this expository article we present an overview of the current state-of-the-art in post-quantum group-based cryptography. We describe several families of groups that have been proposed as platforms, with special emphasis in polycyclic groups and graph groups, dealing in particular with their algorithmic properties an...
1811.11992
Hui Liu Mr
Ruijian He, Bo Yang, Hui Liu, Zhangxin Chen
A New In-Situ Combustion Simulator for Parallel Computers
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a competitive recovery method for heavy oil, In-Situ Combustion (ISC) shows its great potential accompanied by technological advances in recent years. Reservoir simulation will play an indispensable role in the prediction of the implementation of ISC projects. With the computational complexity, it is imperative to...
[ { "created": "Thu, 29 Nov 2018 07:25:14 GMT", "version": "v1" } ]
2018-11-30
[ [ "He", "Ruijian", "" ], [ "Yang", "Bo", "" ], [ "Liu", "Hui", "" ], [ "Chen", "Zhangxin", "" ] ]
As a competitive recovery method for heavy oil, In-Situ Combustion (ISC) shows its great potential accompanied by technological advances in recent years. Reservoir simulation will play an indispensable role in the prediction of the implementation of ISC projects. With the computational complexity, it is imperative to d...
1902.04255
Mumin Cebe
Mumin Cebe, Kemal Akkaya
Communication-efficient Certificate Revocation Management for Advanced Metering Infrastructure and IoT
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advanced Metering Infrastructure forms a communication network for the collection of power data from smart meters in Smart Grid. As the communication between smart meters could be secured utilizing public-key cryptography, however, public-key cryptography still has certain challenges in terms of certificate revocatio...
[ { "created": "Tue, 12 Feb 2019 06:30:17 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2019 15:49:00 GMT", "version": "v2" }, { "created": "Wed, 5 Aug 2020 22:36:17 GMT", "version": "v3" } ]
2020-08-07
[ [ "Cebe", "Mumin", "" ], [ "Akkaya", "Kemal", "" ] ]
Advanced Metering Infrastructure forms a communication network for the collection of power data from smart meters in Smart Grid. As the communication between smart meters could be secured utilizing public-key cryptography, however, public-key cryptography still has certain challenges in terms of certificate revocation ...
2401.14526
Anna Feldman
Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide Ebenezer Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Jing Peng, Anna Feldman
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages. We train a multilingual transformer model (XLM-RoBERTa) to disambiguate potentially euphemistic terms (PETs) in multilingual and cross-lingual settings. In line with current trends, we dem...
[ { "created": "Thu, 25 Jan 2024 21:38:30 GMT", "version": "v1" } ]
2024-01-29
[ [ "Lee", "Patrick", "" ], [ "Trujillo", "Alain Chirino", "" ], [ "Plancarte", "Diana Cuevas", "" ], [ "Ojo", "Olumide Ebenezer", "" ], [ "Liu", "Xinyi", "" ], [ "Shode", "Iyanuoluwa", "" ], [ "Zhao", "Yuan", ...
This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages. We train a multilingual transformer model (XLM-RoBERTa) to disambiguate potentially euphemistic terms (PETs) in multilingual and cross-lingual settings. In line with current trends, we demon...
1211.3169
Pierre-Olivier Amblard
Pierre-Olivier Amblard and Olivier J. J. Michel
The relation between Granger causality and directed information theory: a review
null
null
10.3390/e15010113
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This report reviews the conceptual and theoretical links between Granger causality and directed information theory. We begin with a short historical tour of Granger causality, concentrating on its closeness to information theory. The definitions of Granger causality based on prediction are recalled, and the importanc...
[ { "created": "Wed, 14 Nov 2012 00:13:27 GMT", "version": "v1" } ]
2015-06-12
[ [ "Amblard", "Pierre-Olivier", "" ], [ "Michel", "Olivier J. J.", "" ] ]
This report reviews the conceptual and theoretical links between Granger causality and directed information theory. We begin with a short historical tour of Granger causality, concentrating on its closeness to information theory. The definitions of Granger causality based on prediction are recalled, and the importance ...
1911.07755
Alberto Marchesi
Alberto Marchesi, Francesco Trov\`o, Nicola Gatti
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
null
null
null
null
cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We tackle the problem of learning equilibria in simulation-based games. In such games, the players' utility functions cannot be described analytically, as they are given through a black-box simulator that can be queried to obtain noisy estimates of the utilities. This is the case in many real-world games in which a c...
[ { "created": "Mon, 18 Nov 2019 16:37:08 GMT", "version": "v1" }, { "created": "Tue, 25 Feb 2020 15:59:44 GMT", "version": "v2" } ]
2020-02-26
[ [ "Marchesi", "Alberto", "" ], [ "Trovò", "Francesco", "" ], [ "Gatti", "Nicola", "" ] ]
We tackle the problem of learning equilibria in simulation-based games. In such games, the players' utility functions cannot be described analytically, as they are given through a black-box simulator that can be queried to obtain noisy estimates of the utilities. This is the case in many real-world games in which a com...
2104.07324
Shayan Hashemi
Shayan Hashemi, Mika M\"antyl\"a
OneLog: Towards End-to-End Training in Software Log Anomaly Detection
null
null
10.1007/s10515-024-00428-x
null
cs.SE cs.LG
http://creativecommons.org/licenses/by/4.0/
With the growth of online services, IoT devices, and DevOps-oriented software development, software log anomaly detection is becoming increasingly important. Prior works mainly follow a traditional four-staged architecture (Preprocessor, Parser, Vectorizer, and Classifier). This paper proposes OneLog, which utilizes ...
[ { "created": "Thu, 15 Apr 2021 09:23:32 GMT", "version": "v1" }, { "created": "Tue, 27 Feb 2024 17:07:34 GMT", "version": "v2" } ]
2024-08-06
[ [ "Hashemi", "Shayan", "" ], [ "Mäntylä", "Mika", "" ] ]
With the growth of online services, IoT devices, and DevOps-oriented software development, software log anomaly detection is becoming increasingly important. Prior works mainly follow a traditional four-staged architecture (Preprocessor, Parser, Vectorizer, and Classifier). This paper proposes OneLog, which utilizes a ...
2103.06766
Jan T\"onshoff
Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld
Stable Tuple Embeddings for Dynamic Databases
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
We study the problem of computing an embedding of the tuples of a relational database in a manner that is extensible to dynamic changes of the database. In this problem, the embedding should be stable in the sense that it should not change on the existing tuples due to the embedding of newly inserted tuples (as datab...
[ { "created": "Thu, 11 Mar 2021 16:23:03 GMT", "version": "v1" }, { "created": "Tue, 27 Sep 2022 16:48:58 GMT", "version": "v2" } ]
2022-09-28
[ [ "Toenshoff", "Jan", "" ], [ "Friedman", "Neta", "" ], [ "Grohe", "Martin", "" ], [ "Kimelfeld", "Benny", "" ] ]
We study the problem of computing an embedding of the tuples of a relational database in a manner that is extensible to dynamic changes of the database. In this problem, the embedding should be stable in the sense that it should not change on the existing tuples due to the embedding of newly inserted tuples (as databas...
2203.09848
Marcos Faundez-Zanuy
Enric Sesa-Nogueras, Marcos Faundez-Zanuy, Josep Roure-Alcob\'e
Gender classification by means of online uppercase handwriting: A text-dependent allographic approach
25 pages, published in Cogn Comput 8, pages 15 to 29, year 2016
Cognitive computation vol. 8 pages 15-19, 2016
10.1007/s12559-015-9332-1
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper presents a gender classification schema based on online handwriting. Using samples acquired with a digital tablet that captures the dynamics of the writing, it classifies the writer as a male or a female. The method proposed is allographic, regarding strokes as the structural units of handwriting. Strokes ...
[ { "created": "Fri, 18 Mar 2022 10:37:19 GMT", "version": "v1" } ]
2022-03-21
[ [ "Sesa-Nogueras", "Enric", "" ], [ "Faundez-Zanuy", "Marcos", "" ], [ "Roure-Alcobé", "Josep", "" ] ]
This paper presents a gender classification schema based on online handwriting. Using samples acquired with a digital tablet that captures the dynamics of the writing, it classifies the writer as a male or a female. The method proposed is allographic, regarding strokes as the structural units of handwriting. Strokes pe...
2208.06092
Adeilson Silva
Adeilson Antonio da Silva and Mauricio Pamplona Segundo
On deceiving malware classification with section injection
null
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We investigate how to modify executable files to deceive malware classification systems. This work's main contribution is a methodology to inject bytes across a malware file randomly and use it both as an attack to decrease classification accuracy but also as a defensive method, augmenting the data available for trai...
[ { "created": "Fri, 12 Aug 2022 02:43:17 GMT", "version": "v1" } ]
2022-08-15
[ [ "da Silva", "Adeilson Antonio", "" ], [ "Segundo", "Mauricio Pamplona", "" ] ]
We investigate how to modify executable files to deceive malware classification systems. This work's main contribution is a methodology to inject bytes across a malware file randomly and use it both as an attack to decrease classification accuracy but also as a defensive method, augmenting the data available for traini...
2107.06219
Xingxuan Zhang
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
Towards Unsupervised Domain Generalization
Accepted by CVPR2022
null
null
null
cs.CV cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain generalization (DG) aims to help models trained on a set of source domains generalize better on unseen target domains. The performances of current DG methods largely rely on sufficient labeled data, which are usually costly or unavailable, however. Since unlabeled data are far more accessible, we seek to explo...
[ { "created": "Tue, 13 Jul 2021 16:20:50 GMT", "version": "v1" }, { "created": "Tue, 12 Apr 2022 03:36:35 GMT", "version": "v2" } ]
2022-04-13
[ [ "Zhang", "Xingxuan", "" ], [ "Zhou", "Linjun", "" ], [ "Xu", "Renzhe", "" ], [ "Cui", "Peng", "" ], [ "Shen", "Zheyan", "" ], [ "Liu", "Haoxin", "" ] ]
Domain generalization (DG) aims to help models trained on a set of source domains generalize better on unseen target domains. The performances of current DG methods largely rely on sufficient labeled data, which are usually costly or unavailable, however. Since unlabeled data are far more accessible, we seek to explore...
2012.14283
Sarah Schwettmann
Sarah Schwettmann, Hendrik Strobelt, Mauro Martino
Latent Compass: Creation by Navigation
3 pages, 2 figures, accepted at the 4th Workshop on Machine Learning for Creativity and Design at NeurIPS 2020
null
null
null
cs.AI cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
In Marius von Senden's Space and Sight, a newly sighted blind patient describes the experience of a corner as lemon-like, because corners "prick" sight like lemons prick the tongue. Prickliness, here, is a dimension in the feature space of sensory experience, an effect of the perceived on the perceiver that arises wh...
[ { "created": "Sun, 20 Dec 2020 04:18:23 GMT", "version": "v1" } ]
2020-12-29
[ [ "Schwettmann", "Sarah", "" ], [ "Strobelt", "Hendrik", "" ], [ "Martino", "Mauro", "" ] ]
In Marius von Senden's Space and Sight, a newly sighted blind patient describes the experience of a corner as lemon-like, because corners "prick" sight like lemons prick the tongue. Prickliness, here, is a dimension in the feature space of sensory experience, an effect of the perceived on the perceiver that arises wher...
2106.10468
Hou Pong Chan
Hou Pong Chan and Irwin King
A Condense-then-Select Strategy for Text Summarization
Accepted by Knowledge-Based Systems (KBS) journal
null
10.1016/j.knosys.2021.107235
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Select-then-compress is a popular hybrid, framework for text summarization due to its high efficiency. This framework first selects salient sentences and then independently condenses each of the selected sentences into a concise version. However, compressing sentences separately ignores the context information of the...
[ { "created": "Sat, 19 Jun 2021 10:33:10 GMT", "version": "v1" } ]
2021-06-22
[ [ "Chan", "Hou Pong", "" ], [ "King", "Irwin", "" ] ]
Select-then-compress is a popular hybrid, framework for text summarization due to its high efficiency. This framework first selects salient sentences and then independently condenses each of the selected sentences into a concise version. However, compressing sentences separately ignores the context information of the d...
1902.04045
Panos Giannopoulos
Mikkel Abrahamsen and Panos Giannopoulos and Maarten L\"offler and G\"unter Rote
Geometric Multicut
24 pages, 15 figures
Discrete & Computational Geometry 64 (2020), 575-607
10.1007/s00454-020-00232-w
null
cs.CG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the following separation problem: Given a collection of colored objects in the plane, compute a shortest "fence" $F$, i.e., a union of curves of minimum total length, that separates every two objects of different colors. Two objects are separated if $F$ contains a simple closed curve that has one object in t...
[ { "created": "Mon, 11 Feb 2019 18:44:40 GMT", "version": "v1" } ]
2021-05-11
[ [ "Abrahamsen", "Mikkel", "" ], [ "Giannopoulos", "Panos", "" ], [ "Löffler", "Maarten", "" ], [ "Rote", "Günter", "" ] ]
We study the following separation problem: Given a collection of colored objects in the plane, compute a shortest "fence" $F$, i.e., a union of curves of minimum total length, that separates every two objects of different colors. Two objects are separated if $F$ contains a simple closed curve that has one object in the...
2401.09180
Antonio Almud\'evar
Antonio Almud\'evar and Th\'eo Mariotte and Alfonso Ortega and Marie Tahon
Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Unsupervised Multiple Domain Translation is the task of transforming data from one domain to other domains without having paired data to train the systems. Typically, methods based on Generative Adversarial Networks (GANs) are used to address this task. However, our proposal exclusively relies on a modified version o...
[ { "created": "Wed, 17 Jan 2024 12:43:28 GMT", "version": "v1" }, { "created": "Thu, 18 Jan 2024 09:51:46 GMT", "version": "v2" } ]
2024-01-19
[ [ "Almudévar", "Antonio", "" ], [ "Mariotte", "Théo", "" ], [ "Ortega", "Alfonso", "" ], [ "Tahon", "Marie", "" ] ]
Unsupervised Multiple Domain Translation is the task of transforming data from one domain to other domains without having paired data to train the systems. Typically, methods based on Generative Adversarial Networks (GANs) are used to address this task. However, our proposal exclusively relies on a modified version of ...
2405.13928
Ivan Damnjanovi\'c
Ivan Sto\v{s}i\'c, Ivan Damnjanovi\'c, \v{Z}arko Ran{\dj}elovi\'c
Counting the number of inequivalent arithmetic expressions on $n$ variables
null
null
null
null
cs.DM math.CO math.NT
http://creativecommons.org/licenses/by-nc-nd/4.0/
An expression is any mathematical formula that contains certain formal variables and operations to be executed in a specified order. In computer science, it is usually convenient to represent each expression in the form of an expression tree. Here, we consider only arithmetic expressions, i.e., those that contain onl...
[ { "created": "Wed, 22 May 2024 18:58:23 GMT", "version": "v1" } ]
2024-05-24
[ [ "Stošić", "Ivan", "" ], [ "Damnjanović", "Ivan", "" ], [ "Ranđelović", "Žarko", "" ] ]
An expression is any mathematical formula that contains certain formal variables and operations to be executed in a specified order. In computer science, it is usually convenient to represent each expression in the form of an expression tree. Here, we consider only arithmetic expressions, i.e., those that contain only ...
2107.06056
Prathamesh Kalamkar
Prathamesh Kalamkar, Janani Venugopalan Ph.D., Vivek Raghavan Ph.D
Indian Legal NLP Benchmarks : A Survey
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Availability of challenging benchmarks is the key to advancement of AI in a specific field.Since Legal Text is significantly different than normal English text, there is a need to create separate Natural Language Processing benchmarks for Indian Legal Text which are challenging and focus on tasks specific to Legal Sy...
[ { "created": "Tue, 13 Jul 2021 13:10:10 GMT", "version": "v1" } ]
2022-10-11
[ [ "Kalamkar", "Prathamesh", "" ], [ "D.", "Janani Venugopalan Ph.", "" ], [ "D", "Vivek Raghavan Ph.", "" ] ]
Availability of challenging benchmarks is the key to advancement of AI in a specific field.Since Legal Text is significantly different than normal English text, there is a need to create separate Natural Language Processing benchmarks for Indian Legal Text which are challenging and focus on tasks specific to Legal Syst...
1801.04735
Alejandro Cohen
Alejandro Cohen, Asaf Cohen and Omer Gurewitz
Secure Adaptive Group Testing
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
\emph{Group Testing} (GT) addresses the problem of identifying a small subset of defective items from a large population, by grouping items into as few test pools as possible. In \emph{Adaptive GT} (AGT), outcomes of previous tests can influence the makeup of future tests. Using an information theoretic point of view...
[ { "created": "Mon, 15 Jan 2018 11:07:10 GMT", "version": "v1" }, { "created": "Fri, 14 Aug 2020 17:50:25 GMT", "version": "v2" } ]
2020-08-17
[ [ "Cohen", "Alejandro", "" ], [ "Cohen", "Asaf", "" ], [ "Gurewitz", "Omer", "" ] ]
\emph{Group Testing} (GT) addresses the problem of identifying a small subset of defective items from a large population, by grouping items into as few test pools as possible. In \emph{Adaptive GT} (AGT), outcomes of previous tests can influence the makeup of future tests. Using an information theoretic point of view, ...
2106.05237
Xiaohua Zhai
Lucas Beyer, Xiaohua Zhai, Am\'elie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov
Knowledge distillation: A good teacher is patient and consistent
Lucas, Xiaohua, Am\'elie, Larisa, and Alex contributed equally; CVPR 2022
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a growing discrepancy in computer vision between large-scale models that achieve state-of-the-art performance and models that are affordable in practical applications. In this paper we address this issue and significantly bridge the gap between these two types of models. Throughout our empirical investigatio...
[ { "created": "Wed, 9 Jun 2021 17:20:40 GMT", "version": "v1" }, { "created": "Tue, 21 Jun 2022 09:46:14 GMT", "version": "v2" } ]
2022-06-22
[ [ "Beyer", "Lucas", "" ], [ "Zhai", "Xiaohua", "" ], [ "Royer", "Amélie", "" ], [ "Markeeva", "Larisa", "" ], [ "Anil", "Rohan", "" ], [ "Kolesnikov", "Alexander", "" ] ]
There is a growing discrepancy in computer vision between large-scale models that achieve state-of-the-art performance and models that are affordable in practical applications. In this paper we address this issue and significantly bridge the gap between these two types of models. Throughout our empirical investigation ...
1911.05894
Aren Jansen
Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
This extended version of a ICASSP 2020 submission under same title has an added figure and additional discussion for easier consumption
null
null
null
cs.SD eess.AS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Humans do not acquire perceptual abilities in the way we train machines. While machine learning algorithms typically operate on large collections of randomly-chosen, explicitly-labeled examples, human acquisition relies more heavily on multimodal unsupervised learning (as infants) and active learning (as children). W...
[ { "created": "Thu, 14 Nov 2019 02:07:47 GMT", "version": "v1" } ]
2019-11-15
[ [ "Jansen", "Aren", "" ], [ "Ellis", "Daniel P. W.", "" ], [ "Hershey", "Shawn", "" ], [ "Moore", "R. Channing", "" ], [ "Plakal", "Manoj", "" ], [ "Popat", "Ashok C.", "" ], [ "Saurous", "Rif A.", "" ] ]
Humans do not acquire perceptual abilities in the way we train machines. While machine learning algorithms typically operate on large collections of randomly-chosen, explicitly-labeled examples, human acquisition relies more heavily on multimodal unsupervised learning (as infants) and active learning (as children). Wit...
2101.07241
Haoyu Xiong
Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
Project Website: https://www.pair.toronto.edu/lbw-kp/
IROS 2021
null
null
cs.RO cs.CV cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Learning from visual data opens the potential to accrue a large range of manipulation behaviors by leveraging human demonstrations without specifying each of them mathematically, but rather through natural task specification. In this paper, we present Learning by Watching (LbW), an algorithmic framework for policy le...
[ { "created": "Mon, 18 Jan 2021 18:50:32 GMT", "version": "v1" }, { "created": "Sun, 14 Nov 2021 15:05:21 GMT", "version": "v2" } ]
2021-11-16
[ [ "Xiong", "Haoyu", "" ], [ "Li", "Quanzhou", "" ], [ "Chen", "Yun-Chun", "" ], [ "Bharadhwaj", "Homanga", "" ], [ "Sinha", "Samarth", "" ], [ "Garg", "Animesh", "" ] ]
Learning from visual data opens the potential to accrue a large range of manipulation behaviors by leveraging human demonstrations without specifying each of them mathematically, but rather through natural task specification. In this paper, we present Learning by Watching (LbW), an algorithmic framework for policy lear...
1906.07011
Nees Jan van Eck
Nees Jan van Eck, Ludo Waltman
Accuracy of citation data in Web of Science and Scopus
Paper published in the Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics (pp. 1087-1092)
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a large-scale analysis of the accuracy of citation data in the Web of Science and Scopus databases. The analysis is based on citations given in publications in Elsevier journals. We reveal significant data quality problems for both databases. Missing and incorrect references are important problems in Web o...
[ { "created": "Mon, 17 Jun 2019 13:03:45 GMT", "version": "v1" } ]
2019-06-18
[ [ "van Eck", "Nees Jan", "" ], [ "Waltman", "Ludo", "" ] ]
We present a large-scale analysis of the accuracy of citation data in the Web of Science and Scopus databases. The analysis is based on citations given in publications in Elsevier journals. We reveal significant data quality problems for both databases. Missing and incorrect references are important problems in Web of ...
2310.10669
Zhengmian Hu
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
Unbiased Watermark for Large Language Models
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
The recent advancements in large language models (LLMs) have sparked a growing apprehension regarding the potential misuse. One approach to mitigating this risk is to incorporate watermarking techniques into LLMs, allowing for the tracking and attribution of model outputs. This study examines a crucial aspect of wate...
[ { "created": "Fri, 22 Sep 2023 12:46:38 GMT", "version": "v1" }, { "created": "Wed, 18 Oct 2023 02:02:08 GMT", "version": "v2" } ]
2023-10-19
[ [ "Hu", "Zhengmian", "" ], [ "Chen", "Lichang", "" ], [ "Wu", "Xidong", "" ], [ "Wu", "Yihan", "" ], [ "Zhang", "Hongyang", "" ], [ "Huang", "Heng", "" ] ]
The recent advancements in large language models (LLMs) have sparked a growing apprehension regarding the potential misuse. One approach to mitigating this risk is to incorporate watermarking techniques into LLMs, allowing for the tracking and attribution of model outputs. This study examines a crucial aspect of waterm...
2108.07047
Robert Gilles
Subhadip Chakrabarti, Loyimee Gogoi, Robert P Gilles, Surajit Borkotokey, Rajnish Kumar
Expected Values for Variable Network Games
null
null
null
null
cs.GT econ.TH physics.soc-ph
http://creativecommons.org/licenses/by-nc-sa/4.0/
A network game assigns a level of collectively generated wealth to every network that can form on a given set of players. A variable network game combines a network game with a network formation probability distribution, describing certain restrictions on network formation. Expected levels of collectively generated w...
[ { "created": "Mon, 16 Aug 2021 12:35:40 GMT", "version": "v1" }, { "created": "Fri, 28 Oct 2022 15:48:17 GMT", "version": "v2" } ]
2022-10-31
[ [ "Chakrabarti", "Subhadip", "" ], [ "Gogoi", "Loyimee", "" ], [ "Gilles", "Robert P", "" ], [ "Borkotokey", "Surajit", "" ], [ "Kumar", "Rajnish", "" ] ]
A network game assigns a level of collectively generated wealth to every network that can form on a given set of players. A variable network game combines a network game with a network formation probability distribution, describing certain restrictions on network formation. Expected levels of collectively generated wea...
1506.05217
Mohsin Junaid
Mohsin Junaid, Donggang Liu and David Kung
Dexteroid: Detecting Malicious Behaviors in Android Apps Using Reverse-Engineered Life Cycle Models
null
Computers & Security, Volume 59,Pages 92-117, ISSN 0167-4048, June 2016
10.1016/j.cose.2016.01.008
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The amount of Android malware has increased greatly during the last few years. Static analysis is widely used in detecting such malware by analyzing the code without execution. The effectiveness of current tools relies on the app model as well as the malware detection algorithm which analyzes the app model. If the mo...
[ { "created": "Wed, 17 Jun 2015 06:38:37 GMT", "version": "v1" }, { "created": "Fri, 8 Apr 2016 19:38:43 GMT", "version": "v2" } ]
2016-04-11
[ [ "Junaid", "Mohsin", "" ], [ "Liu", "Donggang", "" ], [ "Kung", "David", "" ] ]
The amount of Android malware has increased greatly during the last few years. Static analysis is widely used in detecting such malware by analyzing the code without execution. The effectiveness of current tools relies on the app model as well as the malware detection algorithm which analyzes the app model. If the mode...
2203.00762
Biyi Fang
Biyi Fang, Kripa Rajshekhar, Diego Klabjan
Topic Analysis for Text with Side Data
null
null
null
null
cs.LG cs.CL cs.IR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Although latent factor models (e.g., matrix factorization) obtain good performance in predictions, they suffer from several problems including cold-start, non-transparency, and suboptimal recommendations. In this paper, we employ text with side data to tackle these limitations. We introduce a hybrid generative probab...
[ { "created": "Tue, 1 Mar 2022 22:06:30 GMT", "version": "v1" } ]
2022-03-03
[ [ "Fang", "Biyi", "" ], [ "Rajshekhar", "Kripa", "" ], [ "Klabjan", "Diego", "" ] ]
Although latent factor models (e.g., matrix factorization) obtain good performance in predictions, they suffer from several problems including cold-start, non-transparency, and suboptimal recommendations. In this paper, we employ text with side data to tackle these limitations. We introduce a hybrid generative probabil...
2406.00031
Achuth Chandrasekhar
Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing
54 pages, 4 figures
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Generalized large language models (LLMs) such as GPT-4 may not provide specific answers to queries formulated by materials science researchers. These models may produce a high-level outline but lack the capacity to return detailed instructions on manufacturing and material properties of novel alloys. Enhancing a smal...
[ { "created": "Fri, 24 May 2024 20:03:32 GMT", "version": "v1" } ]
2024-06-04
[ [ "Chandrasekhar", "Achuth", "" ], [ "Chan", "Jonathan", "" ], [ "Ogoke", "Francis", "" ], [ "Ajenifujah", "Olabode", "" ], [ "Farimani", "Amir Barati", "" ] ]
Generalized large language models (LLMs) such as GPT-4 may not provide specific answers to queries formulated by materials science researchers. These models may produce a high-level outline but lack the capacity to return detailed instructions on manufacturing and material properties of novel alloys. Enhancing a smalle...
2003.05026
Max Van Kleek
Max Van Kleek
Super-reflective Data: Speculative Imaginings of a World Where Data Works for People
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It's the year 2020, and every space and place on- and off-line has been augmented with digital things that observe, record, transmit, and compute, for the purposes of recording endless data traces of what is happening in the world. Individually, these things (and the invisible services the power them) have reached co...
[ { "created": "Tue, 10 Mar 2020 22:54:10 GMT", "version": "v1" } ]
2020-03-12
[ [ "Van Kleek", "Max", "" ] ]
It's the year 2020, and every space and place on- and off-line has been augmented with digital things that observe, record, transmit, and compute, for the purposes of recording endless data traces of what is happening in the world. Individually, these things (and the invisible services the power them) have reached cons...
2112.13585
Lanning Wei
Lanning Wei, Huan Zhao, Zhiqiang He
Learn Layer-wise Connections in Graph Neural Networks
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In recent years, Graph Neural Networks (GNNs) have shown superior performance on diverse applications on real-world datasets. To improve the model capacity and alleviate the over-smoothing problem, several methods proposed to incorporate the intermediate layers by layer-wise connections. However, due to the highly di...
[ { "created": "Mon, 27 Dec 2021 09:33:22 GMT", "version": "v1" } ]
2021-12-28
[ [ "Wei", "Lanning", "" ], [ "Zhao", "Huan", "" ], [ "He", "Zhiqiang", "" ] ]
In recent years, Graph Neural Networks (GNNs) have shown superior performance on diverse applications on real-world datasets. To improve the model capacity and alleviate the over-smoothing problem, several methods proposed to incorporate the intermediate layers by layer-wise connections. However, due to the highly dive...
2102.10290
Luca Lugini
Luca Lugini, Diane Litman
Contextual Argument Component Classification for Class Discussions
null
In Proceedings of the 28th International Conference on Computational Linguistics, pp. 1475-1480. 2020
10.18653/v1/2020.coling-main.128
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Argument mining systems often consider contextual information, i.e. information outside of an argumentative discourse unit, when trained to accomplish tasks such as argument component identification, classification, and relation extraction. However, prior work has not carefully analyzed the utility of different conte...
[ { "created": "Sat, 20 Feb 2021 08:48:07 GMT", "version": "v1" } ]
2021-02-23
[ [ "Lugini", "Luca", "" ], [ "Litman", "Diane", "" ] ]
Argument mining systems often consider contextual information, i.e. information outside of an argumentative discourse unit, when trained to accomplish tasks such as argument component identification, classification, and relation extraction. However, prior work has not carefully analyzed the utility of different context...
2108.07854
Chethan Kumar Anjinappa
Chethan K. Anjinappa and Ismail Guvenc
Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
This paper appears in: IEEE Communications Letters
null
10.1109/LCOMM.2021.3106251
null
cs.LG cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The utilization of millimeter-wave (mmWave) bands in 5G networks poses new challenges to network planning. Vulnerability to blockages at mmWave bands can cause coverage holes (CHs) in the radio environment, leading to radio link failure when a user enters these CHs. Detection of the CHs carries critical importance so...
[ { "created": "Tue, 17 Aug 2021 19:55:36 GMT", "version": "v1" }, { "created": "Sat, 21 Aug 2021 18:58:54 GMT", "version": "v2" } ]
2021-08-24
[ [ "Anjinappa", "Chethan K.", "" ], [ "Guvenc", "Ismail", "" ] ]
The utilization of millimeter-wave (mmWave) bands in 5G networks poses new challenges to network planning. Vulnerability to blockages at mmWave bands can cause coverage holes (CHs) in the radio environment, leading to radio link failure when a user enters these CHs. Detection of the CHs carries critical importance so t...
2112.14842
Irfan Khan
Syed Wali and Irfan Khan
Explainable Signature-based Machine Learning Approach for Identification of Faults in Grid-Connected Photovoltaic Systems
6 pages, 9 figures
null
null
null
cs.LG cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
The transformation of conventional power networks into smart grids with the heavy penetration level of renewable energy resources, particularly grid-connected Photovoltaic (PV) systems, has increased the need for efficient fault identification systems. Malfunctioning any single component in grid-connected PV systems ...
[ { "created": "Sat, 25 Dec 2021 15:11:18 GMT", "version": "v1" } ]
2022-01-03
[ [ "Wali", "Syed", "" ], [ "Khan", "Irfan", "" ] ]
The transformation of conventional power networks into smart grids with the heavy penetration level of renewable energy resources, particularly grid-connected Photovoltaic (PV) systems, has increased the need for efficient fault identification systems. Malfunctioning any single component in grid-connected PV systems ma...
1806.02953
Elahe Sadeghabadi
Elahe Sadeghabadi, Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki, Masoumeh Nasiri-Kenari
Asynchronous Downlink Massive MIMO Networks: A Stochastic Geometry Approach
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Massive multiple-input multiple-output (MIMO) is recognized as a promising technology for the next generation of wireless networks because of its potential to increase the spectral efficiency. In initial studies of massive MIMO, the system has been considered to be perfectly synchronized throughout the entire cells. ...
[ { "created": "Fri, 8 Jun 2018 02:51:51 GMT", "version": "v1" } ]
2018-06-11
[ [ "Sadeghabadi", "Elahe", "" ], [ "Azimi-Abarghouyi", "Seyed Mohammad", "" ], [ "Makki", "Behrooz", "" ], [ "Nasiri-Kenari", "Masoumeh", "" ] ]
Massive multiple-input multiple-output (MIMO) is recognized as a promising technology for the next generation of wireless networks because of its potential to increase the spectral efficiency. In initial studies of massive MIMO, the system has been considered to be perfectly synchronized throughout the entire cells. Ho...
2312.03293
Mandar Khoje
Mandar Khoje
Securing Data Platforms: Strategic Masking Techniques for Privacy and Security for B2B Enterprise Data
null
null
10.14445/22312803/IJCTT-V71I11P107
null
cs.CR cs.SE
http://creativecommons.org/licenses/by/4.0/
In today's digital age, the imperative to protect data privacy and security is a paramount concern, especially for business-to-business (B2B) enterprises that handle sensitive information. These enterprises are increasingly constructing data platforms, which are integrated suites of technology solutions architected f...
[ { "created": "Wed, 6 Dec 2023 05:04:37 GMT", "version": "v1" } ]
2023-12-07
[ [ "Khoje", "Mandar", "" ] ]
In today's digital age, the imperative to protect data privacy and security is a paramount concern, especially for business-to-business (B2B) enterprises that handle sensitive information. These enterprises are increasingly constructing data platforms, which are integrated suites of technology solutions architected for...
cs/9809037
David Eppstein
Nina Amenta, Marshall Bern, David Eppstein, Shang-Hua Teng
Regression Depth and Center Points
14 pages, 3 figures
Discrete Comput. Geom. 23(3):305-323, 2000
10.1007/PL00009502
null
cs.CG math.CO
null
We show that, for any set of n points in d dimensions, there exists a hyperplane with regression depth at least ceiling(n/(d+1)). as had been conjectured by Rousseeuw and Hubert. Dually, for any arrangement of n hyperplanes in d dimensions there exists a point that cannot escape to infinity without crossing at least ...
[ { "created": "Mon, 21 Sep 1998 21:55:49 GMT", "version": "v1" }, { "created": "Mon, 26 Jul 1999 22:00:37 GMT", "version": "v2" } ]
2010-01-21
[ [ "Amenta", "Nina", "" ], [ "Bern", "Marshall", "" ], [ "Eppstein", "David", "" ], [ "Teng", "Shang-Hua", "" ] ]
We show that, for any set of n points in d dimensions, there exists a hyperplane with regression depth at least ceiling(n/(d+1)). as had been conjectured by Rousseeuw and Hubert. Dually, for any arrangement of n hyperplanes in d dimensions there exists a point that cannot escape to infinity without crossing at least ce...
2203.07511
Robert Wolfe
Robert Wolfe, Aylin Caliskan
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
To be published in ACL 2022
null
null
null
cs.CL cs.AI cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We examine the effects of contrastive visual semantic pretraining by comparing the geometry and semantic properties of contextualized English language representations formed by GPT-2 and CLIP, a zero-shot multimodal image classifier which adapts the GPT-2 architecture to encode image captions. We find that contrastiv...
[ { "created": "Mon, 14 Mar 2022 21:42:13 GMT", "version": "v1" } ]
2022-03-16
[ [ "Wolfe", "Robert", "" ], [ "Caliskan", "Aylin", "" ] ]
We examine the effects of contrastive visual semantic pretraining by comparing the geometry and semantic properties of contextualized English language representations formed by GPT-2 and CLIP, a zero-shot multimodal image classifier which adapts the GPT-2 architecture to encode image captions. We find that contrastive ...
2305.13991
Alessandro De Palma
Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
Expressive Losses for Verified Robustness via Convex Combinations
ICLR 2024
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to train networks for verified adversarial robustness, it is common to over-approximate the worst-case loss over perturbation regions, resulting in networks that attain verifiability at the expense of standard performance. As shown in recent work, better trade-offs between accuracy and robustness can be obta...
[ { "created": "Tue, 23 May 2023 12:20:29 GMT", "version": "v1" }, { "created": "Thu, 14 Mar 2024 16:20:50 GMT", "version": "v2" }, { "created": "Mon, 18 Mar 2024 14:35:21 GMT", "version": "v3" } ]
2024-03-19
[ [ "De Palma", "Alessandro", "" ], [ "Bunel", "Rudy", "" ], [ "Dvijotham", "Krishnamurthy", "" ], [ "Kumar", "M. Pawan", "" ], [ "Stanforth", "Robert", "" ], [ "Lomuscio", "Alessio", "" ] ]
In order to train networks for verified adversarial robustness, it is common to over-approximate the worst-case loss over perturbation regions, resulting in networks that attain verifiability at the expense of standard performance. As shown in recent work, better trade-offs between accuracy and robustness can be obtain...
2210.02235
Jialing Liao
Jialing Liao, Zheng Chen, and Erik G. Larsson
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
8 pages, 4 figures, Allerton 2022
null
null
null
cs.LG cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider privacy aspects of wireless federated learning (FL) with Over-the-Air (OtA) transmission of gradient updates from multiple users/agents to an edge server. By exploiting the waveform superposition property of multiple access channels, OtA FL enables the users to transmit their updates simult...
[ { "created": "Wed, 5 Oct 2022 13:13:35 GMT", "version": "v1" } ]
2022-10-12
[ [ "Liao", "Jialing", "" ], [ "Chen", "Zheng", "" ], [ "Larsson", "Erik G.", "" ] ]
In this paper, we consider privacy aspects of wireless federated learning (FL) with Over-the-Air (OtA) transmission of gradient updates from multiple users/agents to an edge server. By exploiting the waveform superposition property of multiple access channels, OtA FL enables the users to transmit their updates simultan...
2404.13340
Kefan Li
Kefan Li, Yuan Yuan
Large Language Models as Test Case Generators: Performance Evaluation and Enhancement
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Code generation with Large Language Models (LLMs) has been extensively studied and achieved remarkable progress. As a complementary aspect to code generation, test case generation is of crucial importance in ensuring the quality and reliability of code. However, using LLMs as test case generators has been much less e...
[ { "created": "Sat, 20 Apr 2024 10:27:01 GMT", "version": "v1" } ]
2024-04-23
[ [ "Li", "Kefan", "" ], [ "Yuan", "Yuan", "" ] ]
Code generation with Large Language Models (LLMs) has been extensively studied and achieved remarkable progress. As a complementary aspect to code generation, test case generation is of crucial importance in ensuring the quality and reliability of code. However, using LLMs as test case generators has been much less exp...
1811.01544
Myoungsoo Jung
Donghyun Gouk, Miryeong Kwon, Jie Zhang, Sungjoon Koh, Wonil Choi, Nam Sung Kim, Mahmut Kandemir and Myoungsoo Jung
Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources
This paper has been accepted at the 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '51), 2018. This material is presented to ensure timely dissemination of scholarly and technical work
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
SSDs become a major storage component in modern memory hierarchies, and SSD research demands exploring future simulation-based studies by integrating SSD subsystems into a full-system environment. However, several challenges exist to model SSDs under a full-system simulations; SSDs are composed upon their own complet...
[ { "created": "Mon, 5 Nov 2018 07:59:34 GMT", "version": "v1" } ]
2018-11-06
[ [ "Gouk", "Donghyun", "" ], [ "Kwon", "Miryeong", "" ], [ "Zhang", "Jie", "" ], [ "Koh", "Sungjoon", "" ], [ "Choi", "Wonil", "" ], [ "Kim", "Nam Sung", "" ], [ "Kandemir", "Mahmut", "" ], [ "Jung", ...
SSDs become a major storage component in modern memory hierarchies, and SSD research demands exploring future simulation-based studies by integrating SSD subsystems into a full-system environment. However, several challenges exist to model SSDs under a full-system simulations; SSDs are composed upon their own complete ...
1910.03892
Daan de Geus
Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
Fast Panoptic Segmentation Network
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we present an end-to-end network for fast panoptic segmentation. This network, called Fast Panoptic Segmentation Network (FPSNet), does not require computationally costly instance mask predictions or merging heuristics. This is achieved by casting the panoptic task into a custom dense pixel-wise classif...
[ { "created": "Wed, 9 Oct 2019 10:41:28 GMT", "version": "v1" } ]
2019-10-10
[ [ "de Geus", "Daan", "" ], [ "Meletis", "Panagiotis", "" ], [ "Dubbelman", "Gijs", "" ] ]
In this work, we present an end-to-end network for fast panoptic segmentation. This network, called Fast Panoptic Segmentation Network (FPSNet), does not require computationally costly instance mask predictions or merging heuristics. This is achieved by casting the panoptic task into a custom dense pixel-wise classific...
1508.04278
Fabian Fuchs
Fabian Fuchs, Matthias Wolf
On the Distributed Computation of Fractional Connected Dominating Set Packings
null
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the most fundamental problems in wireless networks is to achieve high throughput. Fractional Connected Dominating Set (FCDS) Packings can achieve a throughput of ${\Theta}(k/\log n)$ messages for networks with node connectivity $k$, which is optimal regarding routing-based message transmission. FCDS were propo...
[ { "created": "Tue, 18 Aug 2015 11:28:39 GMT", "version": "v1" } ]
2015-08-19
[ [ "Fuchs", "Fabian", "" ], [ "Wolf", "Matthias", "" ] ]
One of the most fundamental problems in wireless networks is to achieve high throughput. Fractional Connected Dominating Set (FCDS) Packings can achieve a throughput of ${\Theta}(k/\log n)$ messages for networks with node connectivity $k$, which is optimal regarding routing-based message transmission. FCDS were propose...
1907.08865
Marc Hellmuth
Marc Hellmuth, Manuela Gei{\ss} and Peter F. Stadler
Complexity of Modification Problems for Reciprocal Best Match Graphs
null
null
null
null
cs.CC cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reciprocal best match graphs (RBMGs) are vertex colored graphs whose vertices represent genes and the colors the species where the genes reside. Edges identify pairs of genes that are most closely related with respect to an underlying evolutionary tree. In practical applications this tree is unknown and the edges of ...
[ { "created": "Sat, 20 Jul 2019 20:22:08 GMT", "version": "v1" } ]
2019-07-23
[ [ "Hellmuth", "Marc", "" ], [ "Geiß", "Manuela", "" ], [ "Stadler", "Peter F.", "" ] ]
Reciprocal best match graphs (RBMGs) are vertex colored graphs whose vertices represent genes and the colors the species where the genes reside. Edges identify pairs of genes that are most closely related with respect to an underlying evolutionary tree. In practical applications this tree is unknown and the edges of th...
1807.04723
Iulian Vlad Serban
Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach
26 pages, 2 figures, 4 tables
null
null
null
cs.LG cs.AI cs.CL cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep reinforcement learning has recently shown many impressive successes. However, one major obstacle towards applying such methods to real-world problems is their lack of data-efficiency. To this end, we propose the Bottleneck Simulator: a model-based reinforcement learning method which combines a learned, factorize...
[ { "created": "Thu, 12 Jul 2018 16:59:28 GMT", "version": "v1" } ]
2018-07-13
[ [ "Serban", "Iulian Vlad", "" ], [ "Sankar", "Chinnadhurai", "" ], [ "Pieper", "Michael", "" ], [ "Pineau", "Joelle", "" ], [ "Bengio", "Yoshua", "" ] ]
Deep reinforcement learning has recently shown many impressive successes. However, one major obstacle towards applying such methods to real-world problems is their lack of data-efficiency. To this end, we propose the Bottleneck Simulator: a model-based reinforcement learning method which combines a learned, factorized ...
1509.06361
Supartha Podder
Raghav Kulkarni, Supartha Podder
Quantum Query Complexity of Subgraph Isomorphism and Homomorphism
16 pages, 2 figures
null
null
null
cs.CC quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $H$ be a fixed graph on $n$ vertices. Let $f_H(G) = 1$ iff the input graph $G$ on $n$ vertices contains $H$ as a (not necessarily induced) subgraph. Let $\alpha_H$ denote the cardinality of a maximum independent set of $H$. In this paper we show: \[Q(f_H) = \Omega\left(\sqrt{\alpha_H \cdot n}\right),\] where $Q...
[ { "created": "Mon, 21 Sep 2015 19:54:51 GMT", "version": "v1" }, { "created": "Tue, 22 Sep 2015 02:53:42 GMT", "version": "v2" } ]
2015-09-23
[ [ "Kulkarni", "Raghav", "" ], [ "Podder", "Supartha", "" ] ]
Let $H$ be a fixed graph on $n$ vertices. Let $f_H(G) = 1$ iff the input graph $G$ on $n$ vertices contains $H$ as a (not necessarily induced) subgraph. Let $\alpha_H$ denote the cardinality of a maximum independent set of $H$. In this paper we show: \[Q(f_H) = \Omega\left(\sqrt{\alpha_H \cdot n}\right),\] where $Q(f_H...
2311.11164
Eleftherios Tsonis
Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos
Mitigating Exposure Bias in Discriminator Guided Diffusion Models
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Diffusion Models have demonstrated remarkable performance in image generation. However, their demanding computational requirements for training have prompted ongoing efforts to enhance the quality of generated images through modifications in the sampling process. A recent approach, known as Discriminator Guidance, se...
[ { "created": "Sat, 18 Nov 2023 20:49:50 GMT", "version": "v1" } ]
2023-11-21
[ [ "Tsonis", "Eleftherios", "" ], [ "Tzouveli", "Paraskevi", "" ], [ "Voulodimos", "Athanasios", "" ] ]
Diffusion Models have demonstrated remarkable performance in image generation. However, their demanding computational requirements for training have prompted ongoing efforts to enhance the quality of generated images through modifications in the sampling process. A recent approach, known as Discriminator Guidance, seek...
1406.0062
Fahem Kebair fk
Fahem Kebair and Fr\'ed\'eric Serin
Towards a Multiagent Decision Support System for crisis Management
14 pages. arXiv admin note: text overlap with arXiv:0907.0499
J. Intelligent Systems 20(1): 47-60 (2011)
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Crisis management is a complex problem raised by the scientific community currently. Decision support systems are a suitable solution for such issues, they are indeed able to help emergency managers to prevent and to manage crisis in emergency situations. However, they should be enough flexible and adaptive in order ...
[ { "created": "Sat, 31 May 2014 09:57:02 GMT", "version": "v1" } ]
2014-06-03
[ [ "Kebair", "Fahem", "" ], [ "Serin", "Frédéric", "" ] ]
Crisis management is a complex problem raised by the scientific community currently. Decision support systems are a suitable solution for such issues, they are indeed able to help emergency managers to prevent and to manage crisis in emergency situations. However, they should be enough flexible and adaptive in order to...
2103.06641
Aaron Roth
Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva
Differentially Private Query Release Through Adaptive Projection
null
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose, implement, and evaluate a new algorithm for releasing answers to very large numbers of statistical queries like $k$-way marginals, subject to differential privacy. Our algorithm makes adaptive use of a continuous relaxation of the Projection Mechanism, which answers queries on the private dataset using si...
[ { "created": "Thu, 11 Mar 2021 12:43:18 GMT", "version": "v1" }, { "created": "Wed, 23 Jun 2021 15:44:57 GMT", "version": "v2" } ]
2021-06-24
[ [ "Aydore", "Sergul", "" ], [ "Brown", "William", "" ], [ "Kearns", "Michael", "" ], [ "Kenthapadi", "Krishnaram", "" ], [ "Melis", "Luca", "" ], [ "Roth", "Aaron", "" ], [ "Siva", "Ankit", "" ] ]
We propose, implement, and evaluate a new algorithm for releasing answers to very large numbers of statistical queries like $k$-way marginals, subject to differential privacy. Our algorithm makes adaptive use of a continuous relaxation of the Projection Mechanism, which answers queries on the private dataset using simp...
1908.08908
Huynh Manh
Manh Huynh and Gita Alaghband
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM
To appear in ISVC 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a novel human trajectory prediction system that incorporates the scene information (Scene-LSTM) as well as individual pedestrian movement (Pedestrian-LSTM) trained simultaneously within static crowded scenes. We superimpose a two-level grid structure (grid cells and subgrids) on the scene to encode spatial...
[ { "created": "Fri, 23 Aug 2019 17:31:59 GMT", "version": "v1" } ]
2019-08-26
[ [ "Huynh", "Manh", "" ], [ "Alaghband", "Gita", "" ] ]
We develop a novel human trajectory prediction system that incorporates the scene information (Scene-LSTM) as well as individual pedestrian movement (Pedestrian-LSTM) trained simultaneously within static crowded scenes. We superimpose a two-level grid structure (grid cells and subgrids) on the scene to encode spatial g...
1711.07211
Ilias Diakonikolas
Ilias Diakonikolas and Daniel M. Kane and Alistair Stewart
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
null
null
null
null
cs.DS cs.CC cs.IT cs.LG math.IT math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of list-decodable Gaussian mean estimation and the related problem of learning mixtures of separated spherical Gaussians. We develop a set of techniques that yield new efficient algorithms with significantly improved guarantees for these problems. {\bf List-Decodable Mean Estimation.} Fix any $...
[ { "created": "Mon, 20 Nov 2017 09:07:08 GMT", "version": "v1" } ]
2017-11-21
[ [ "Diakonikolas", "Ilias", "" ], [ "Kane", "Daniel M.", "" ], [ "Stewart", "Alistair", "" ] ]
We study the problem of list-decodable Gaussian mean estimation and the related problem of learning mixtures of separated spherical Gaussians. We develop a set of techniques that yield new efficient algorithms with significantly improved guarantees for these problems. {\bf List-Decodable Mean Estimation.} Fix any $d \i...
2107.11536
Bingbing Rao
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis
2021 IEEE International Conference on Cloud Computing
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
In the era of data explosion, a growing number of data-intensive computing frameworks, such as Apache Hadoop and Spark, have been proposed to handle the massive volume of unstructured data in parallel. Since programming models provided by these frameworks allow users to specify complex and diversified user-defined fu...
[ { "created": "Sat, 24 Jul 2021 05:33:05 GMT", "version": "v1" } ]
2021-07-27
[ [ "Rao", "Bingbing", "" ], [ "Liu", "Zixia", "" ], [ "Zhang", "Hong", "" ], [ "Lu", "Siyang", "" ], [ "Wang", "Liqiang", "" ] ]
In the era of data explosion, a growing number of data-intensive computing frameworks, such as Apache Hadoop and Spark, have been proposed to handle the massive volume of unstructured data in parallel. Since programming models provided by these frameworks allow users to specify complex and diversified user-defined func...
2004.14983
Nora Hollenstein
Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Accepted at Findings of EMNLP 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text. CGA is able to generate natural English sentences controlling multiple semantic and syntactic attributes by combining adversarial learning with a context-aware loss and a cyclical word dropout routine. We demonstrate the value o...
[ { "created": "Thu, 30 Apr 2020 17:31:16 GMT", "version": "v1" }, { "created": "Fri, 2 Oct 2020 12:23:16 GMT", "version": "v2" } ]
2020-10-05
[ [ "Russo", "Giuseppe", "" ], [ "Hollenstein", "Nora", "" ], [ "Musat", "Claudiu", "" ], [ "Zhang", "Ce", "" ] ]
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text. CGA is able to generate natural English sentences controlling multiple semantic and syntactic attributes by combining adversarial learning with a context-aware loss and a cyclical word dropout routine. We demonstrate the value of ...
2305.03378
Zenghao Chai
Zhengzhuo Xu and Zenghao Chai and Chengyin Xu and Chun Yuan and Haiqin Yang
Towards Effective Collaborative Learning in Long-Tailed Recognition
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Real-world data usually suffers from severe class imbalance and long-tailed distributions, where minority classes are significantly underrepresented compared to the majority ones. Recent research prefers to utilize multi-expert architectures to mitigate the model uncertainty on the minority, where collaborative learn...
[ { "created": "Fri, 5 May 2023 09:16:06 GMT", "version": "v1" } ]
2023-05-08
[ [ "Xu", "Zhengzhuo", "" ], [ "Chai", "Zenghao", "" ], [ "Xu", "Chengyin", "" ], [ "Yuan", "Chun", "" ], [ "Yang", "Haiqin", "" ] ]
Real-world data usually suffers from severe class imbalance and long-tailed distributions, where minority classes are significantly underrepresented compared to the majority ones. Recent research prefers to utilize multi-expert architectures to mitigate the model uncertainty on the minority, where collaborative learnin...
2003.11184
Haiyang Xu
Haiyang Xu, Junwen Chen, Kun Han, Xiangang Li
Adversarial Multi-Binary Neural Network for Multi-class Classification
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output softmax layer and achieve substantial progress, but they do not explicitly learn the correlation among classes. In this paper, we use a mu...
[ { "created": "Wed, 25 Mar 2020 02:19:17 GMT", "version": "v1" } ]
2020-03-26
[ [ "Xu", "Haiyang", "" ], [ "Chen", "Junwen", "" ], [ "Han", "Kun", "" ], [ "Li", "Xiangang", "" ] ]
Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output softmax layer and achieve substantial progress, but they do not explicitly learn the correlation among classes. In this paper, we use a mult...
2307.10558
Hai Wang
Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin
Instruction-following Evaluation through Verbalizer Manipulation
NAACL 2024 findings
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While instruction-tuned models have shown remarkable success in various natural language processing tasks, accurately evaluating their ability to follow instructions remains challenging. Existing benchmarks primarily focus on common instructions that align well with what the model learned during training. However, pr...
[ { "created": "Thu, 20 Jul 2023 03:54:24 GMT", "version": "v1" }, { "created": "Tue, 2 Apr 2024 04:38:21 GMT", "version": "v2" } ]
2024-04-03
[ [ "Li", "Shiyang", "" ], [ "Yan", "Jun", "" ], [ "Wang", "Hai", "" ], [ "Tang", "Zheng", "" ], [ "Ren", "Xiang", "" ], [ "Srinivasan", "Vijay", "" ], [ "Jin", "Hongxia", "" ] ]
While instruction-tuned models have shown remarkable success in various natural language processing tasks, accurately evaluating their ability to follow instructions remains challenging. Existing benchmarks primarily focus on common instructions that align well with what the model learned during training. However, prof...
2211.11386
Satoshi Ikehata Mr.
Satoshi Ikehata
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism
BMVC2021. Code and Supplementary are available at https://github.com/satoshi-ikehata/PS-Transformer-BMVC2021
BMVC. Vol. 2. No. 4. 2021
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Existing deep calibrated photometric stereo networks basically aggregate observations under different lights based on the pre-defined operations such as linear projection and max pooling. While they are effective with the dense capture, simple first-order operations often fail to capture the high-order interactions a...
[ { "created": "Mon, 21 Nov 2022 11:58:25 GMT", "version": "v1" } ]
2022-11-22
[ [ "Ikehata", "Satoshi", "" ] ]
Existing deep calibrated photometric stereo networks basically aggregate observations under different lights based on the pre-defined operations such as linear projection and max pooling. While they are effective with the dense capture, simple first-order operations often fail to capture the high-order interactions amo...
1207.3027
Reza Khosravi-Farsani
Reza K. Farsani
Fundamental Limits of Communications in Interference Networks-Part II: Information Flow in Degraded Networks
A table of contents is given
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this second part of our multi-part papers, the information flow in degraded interference networks is studied. A full characterization of the sum-rate capacity for the degraded networks with any possible configuration is established. It is shown that a successive decoding scheme is sum-rate optimal for these networ...
[ { "created": "Thu, 12 Jul 2012 17:24:38 GMT", "version": "v1" }, { "created": "Fri, 15 Feb 2013 06:34:25 GMT", "version": "v2" } ]
2013-02-18
[ [ "Farsani", "Reza K.", "" ] ]
In this second part of our multi-part papers, the information flow in degraded interference networks is studied. A full characterization of the sum-rate capacity for the degraded networks with any possible configuration is established. It is shown that a successive decoding scheme is sum-rate optimal for these networks...
2202.10101
Lisa K\"uhnel
Lisa K\"uhnel, Alexander Schulz, Barbara Hammer and Juliane Fluck
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent developments in transfer learning have boosted the advancements in natural language processing tasks. The performance is, however, dependent on high-quality, manually annotated training data. Especially in the biomedical domain, it has been shown that one training corpus is not enough to learn generic models t...
[ { "created": "Mon, 21 Feb 2022 10:34:41 GMT", "version": "v1" }, { "created": "Tue, 9 May 2023 12:32:36 GMT", "version": "v2" }, { "created": "Tue, 31 Oct 2023 15:36:12 GMT", "version": "v3" } ]
2023-11-01
[ [ "Kühnel", "Lisa", "" ], [ "Schulz", "Alexander", "" ], [ "Hammer", "Barbara", "" ], [ "Fluck", "Juliane", "" ] ]
Recent developments in transfer learning have boosted the advancements in natural language processing tasks. The performance is, however, dependent on high-quality, manually annotated training data. Especially in the biomedical domain, it has been shown that one training corpus is not enough to learn generic models tha...
2407.10906
Peng Liang
Zengyang Li, Jiabao Ji, Peng Liang, Ran Mo, Hui Liu
An Exploratory Study on Just-in-Time Multi-Programming-Language Bug Prediction
Preprint accepted for publication in Information and Software Technology, 2024
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Context: An increasing number of software systems are written in multiple programming languages (PLs), which are called multi-programming-language (MPL) systems. MPL bugs (MPLBs) refers to the bugs whose resolution involves multiple PLs. Despite high complexity of MPLB resolution, there lacks MPLB prediction methods....
[ { "created": "Mon, 15 Jul 2024 17:06:18 GMT", "version": "v1" } ]
2024-07-16
[ [ "Li", "Zengyang", "" ], [ "Ji", "Jiabao", "" ], [ "Liang", "Peng", "" ], [ "Mo", "Ran", "" ], [ "Liu", "Hui", "" ] ]
Context: An increasing number of software systems are written in multiple programming languages (PLs), which are called multi-programming-language (MPL) systems. MPL bugs (MPLBs) refers to the bugs whose resolution involves multiple PLs. Despite high complexity of MPLB resolution, there lacks MPLB prediction methods. O...
1309.5124
Brandon Oselio
Brandon Oselio and Alex Kulesza and Alfred O. Hero III
Multi-layer graph analysis for dynamic social networks
10 pages, 9 figures
null
10.1109/JSTSP.2014.2328312
null
cs.SI physics.soc-ph stat.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern social networks frequently encompass multiple distinct types of connectivity information; for instance, explicitly acknowledged friend relationships might complement behavioral measures that link users according to their actions or interests. One way to represent these networks is as multi-layer graphs, where ...
[ { "created": "Fri, 20 Sep 2013 01:06:43 GMT", "version": "v1" }, { "created": "Mon, 12 May 2014 02:53:41 GMT", "version": "v2" } ]
2015-06-17
[ [ "Oselio", "Brandon", "" ], [ "Kulesza", "Alex", "" ], [ "Hero", "Alfred O.", "III" ] ]
Modern social networks frequently encompass multiple distinct types of connectivity information; for instance, explicitly acknowledged friend relationships might complement behavioral measures that link users according to their actions or interests. One way to represent these networks is as multi-layer graphs, where ea...
1910.08102
Jiacheng Zhu
Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, and Ding Zhao
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process
7 pages, 5 figures, submitted to ICRA 2020
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predicting surrounding vehicle behaviors are critical to autonomous vehicles when negotiating in multi-vehicle interaction scenarios. Most existing approaches require tedious training process with large amounts of data and may fail to capture the propagating uncertainty in interaction behaviors. The multi-vehicle beh...
[ { "created": "Thu, 17 Oct 2019 18:26:31 GMT", "version": "v1" } ]
2019-10-21
[ [ "Zhu", "Jiacheng", "" ], [ "Qin", "Shenghao", "" ], [ "Wang", "Wenshuo", "" ], [ "Zhao", "Ding", "" ] ]
Predicting surrounding vehicle behaviors are critical to autonomous vehicles when negotiating in multi-vehicle interaction scenarios. Most existing approaches require tedious training process with large amounts of data and may fail to capture the propagating uncertainty in interaction behaviors. The multi-vehicle behav...
2212.08834
Ajoy Mondal Dr.
Ajoy Mondal, Rohit saluja, and C. V. Jawahar
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Long-term OCR services aim to provide high-quality output to their users at competitive costs. It is essential to upgrade the models because of the complex data loaded by the users. The service providers encourage the users who provide data where the OCR model fails by rewarding them based on data complexity, readabi...
[ { "created": "Sat, 17 Dec 2022 10:20:39 GMT", "version": "v1" } ]
2022-12-20
[ [ "Mondal", "Ajoy", "" ], [ "saluja", "Rohit", "" ], [ "Jawahar", "C. V.", "" ] ]
Long-term OCR services aim to provide high-quality output to their users at competitive costs. It is essential to upgrade the models because of the complex data loaded by the users. The service providers encourage the users who provide data where the OCR model fails by rewarding them based on data complexity, readabili...
2008.06048
Jeff Ens Mr
Jeff Ens, Philippe Pasquier
MMM : Exploring Conditional Multi-Track Music Generation with the Transformer
null
null
null
null
cs.SD cs.LG cs.MM
http://creativecommons.org/licenses/by/4.0/
We propose the Multi-Track Music Machine (MMM), a generative system based on the Transformer architecture that is capable of generating multi-track music. In contrast to previous work, which represents musical material as a single time-ordered sequence, where the musical events corresponding to different tracks are i...
[ { "created": "Thu, 13 Aug 2020 02:36:34 GMT", "version": "v1" }, { "created": "Thu, 20 Aug 2020 19:13:39 GMT", "version": "v2" } ]
2020-08-24
[ [ "Ens", "Jeff", "" ], [ "Pasquier", "Philippe", "" ] ]
We propose the Multi-Track Music Machine (MMM), a generative system based on the Transformer architecture that is capable of generating multi-track music. In contrast to previous work, which represents musical material as a single time-ordered sequence, where the musical events corresponding to different tracks are int...
1704.07647
Ahmet Cetinkaya
Ahmet Cetinkaya, Hideaki Ishii, Tomohisa Hayakawa
Analysis of Stochastic Switched Systems with Application to Networked Control Under Jamming Attacks
Change title of Section 3; Resize figures
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the stability problem for discrete-time stochastic switched linear systems under the specific scenarios where information about the switching patterns and the probability of switches are not available. Our analysis focuses on the average number of times each mode becomes active in the long run and, in ...
[ { "created": "Tue, 25 Apr 2017 11:54:32 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2017 07:03:14 GMT", "version": "v2" }, { "created": "Wed, 21 Feb 2018 03:31:15 GMT", "version": "v3" }, { "created": "Fri, 20 Apr 2018 12:45:17 GMT", "version": "v4" } ]
2018-04-23
[ [ "Cetinkaya", "Ahmet", "" ], [ "Ishii", "Hideaki", "" ], [ "Hayakawa", "Tomohisa", "" ] ]
We investigate the stability problem for discrete-time stochastic switched linear systems under the specific scenarios where information about the switching patterns and the probability of switches are not available. Our analysis focuses on the average number of times each mode becomes active in the long run and, in pa...
1210.1709
Ravi Murugesan
Ravi Murugesan
Promising outcomes of an online course in research writing at a Rwandan university
null
European Science Editing, August 2012, 38(3), 60-64
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background: Researchers in developing countries often do not have access to training on research writing. The purpose of this study was to test whether researchers in Rwanda might complete and benefit from a pilot online course in research writing. Methods: The pilot course was set up on Moodle, an open-source online...
[ { "created": "Fri, 5 Oct 2012 11:14:20 GMT", "version": "v1" } ]
2012-10-08
[ [ "Murugesan", "Ravi", "" ] ]
Background: Researchers in developing countries often do not have access to training on research writing. The purpose of this study was to test whether researchers in Rwanda might complete and benefit from a pilot online course in research writing. Methods: The pilot course was set up on Moodle, an open-source online l...
2008.00811
Leah Epstein
Janos Balogh and Leah Epstein and Asaf Levin
Truly asymptotic lower bounds for online vector bin packing
Submitted to SODA 2021
null
null
null
cs.DS cs.DM math.CO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we consider online vector bin packing. It is known that no algorithm can have a competitive ratio of $o(d/\log^2 d)$ in the absolute sense, though upper bounds for this problem were always shown in the asymptotic sense. Since variants of bin packing are traditionally studied with respect to the asymptot...
[ { "created": "Mon, 3 Aug 2020 12:08:43 GMT", "version": "v1" } ]
2020-08-04
[ [ "Balogh", "Janos", "" ], [ "Epstein", "Leah", "" ], [ "Levin", "Asaf", "" ] ]
In this work, we consider online vector bin packing. It is known that no algorithm can have a competitive ratio of $o(d/\log^2 d)$ in the absolute sense, though upper bounds for this problem were always shown in the asymptotic sense. Since variants of bin packing are traditionally studied with respect to the asymptotic...
1205.5979
Elham Bahmani
Elham Bahmani and Ghosheh Abed Hodtani
Achievable Rate Regions for the Dirty Multiple Access Channel with Partial Side Information at the Transmitters
5 pages, 3 figures, This paper was accepted at IEEE-ISIT2012
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we establish achievable rate regions for the multiple access channel (MAC) with side information partially known (estimated or sensed version) at the transmitters. Actually, we extend the lattice strategies used by Philosof-Zamir for the MAC with full side information at the transmitters to the partial...
[ { "created": "Sun, 27 May 2012 15:54:23 GMT", "version": "v1" } ]
2012-05-29
[ [ "Bahmani", "Elham", "" ], [ "Hodtani", "Ghosheh Abed", "" ] ]
In this paper, we establish achievable rate regions for the multiple access channel (MAC) with side information partially known (estimated or sensed version) at the transmitters. Actually, we extend the lattice strategies used by Philosof-Zamir for the MAC with full side information at the transmitters to the partially...
2205.04567
Michael Dikshtein
Michael Dikshtein, Nir Weinberger, and Shlomo Shamai (Shitz)
The Compound Information Bottleneck Outlook
This work has been submitted to the IEEE for possible publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We formulate and analyze the compound information bottleneck programming. In this problem, a Markov chain $ \mathsf{X} \rightarrow \mathsf{Y} \rightarrow \mathsf{Z} $ is assumed with fixed marginal distributions $\mathsf{P}_{\mathsf{X}}$ and $\mathsf{P}_{\mathsf{Y}}$, and the mutual information between $ \mathsf{X} $...
[ { "created": "Mon, 9 May 2022 21:27:45 GMT", "version": "v1" } ]
2022-05-11
[ [ "Dikshtein", "Michael", "", "Shitz" ], [ "Weinberger", "Nir", "", "Shitz" ], [ "Shamai", "Shlomo", "", "Shitz" ] ]
We formulate and analyze the compound information bottleneck programming. In this problem, a Markov chain $ \mathsf{X} \rightarrow \mathsf{Y} \rightarrow \mathsf{Z} $ is assumed with fixed marginal distributions $\mathsf{P}_{\mathsf{X}}$ and $\mathsf{P}_{\mathsf{Y}}$, and the mutual information between $ \mathsf{X} $ a...
1302.5997
EPTCS
Rachid Echahed (CNRS, University of Grenoble, France), Detlef Plump (University of York, UK)
Proceedings 7th International Workshop on Computing with Terms and Graphs
null
EPTCS 110, 2013
10.4204/EPTCS.110
null
cs.SC cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This volume contains the proceedings of the Seventh International Workshop on Computing with Terms and Graphs (TERMGRAPH 2013). The workshop took place in Rome, Italy, on March 23rd, 2013, as part of the sixteenth edition of the European Joint Conferences on Theory and Practice of Software (ETAPS 2013). Research in...
[ { "created": "Mon, 25 Feb 2013 05:49:14 GMT", "version": "v1" } ]
2013-02-26
[ [ "Echahed", "Rachid", "", "CNRS, University of Grenoble, France" ], [ "Plump", "Detlef", "", "University of York, UK" ] ]
This volume contains the proceedings of the Seventh International Workshop on Computing with Terms and Graphs (TERMGRAPH 2013). The workshop took place in Rome, Italy, on March 23rd, 2013, as part of the sixteenth edition of the European Joint Conferences on Theory and Practice of Software (ETAPS 2013). Research in ter...
2006.01038
Lei Cui
Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou
DocBank: A Benchmark Dataset for Document Layout Analysis
COLING 2020
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Document layout analysis usually relies on computer vision models to understand documents while ignoring textual information that is vital to capture. Meanwhile, high quality labeled datasets with both visual and textual information are still insufficient. In this paper, we present \textbf{DocBank}, a benchmark datas...
[ { "created": "Mon, 1 Jun 2020 16:04:30 GMT", "version": "v1" }, { "created": "Wed, 30 Sep 2020 08:05:48 GMT", "version": "v2" }, { "created": "Wed, 11 Nov 2020 05:08:05 GMT", "version": "v3" } ]
2020-11-12
[ [ "Li", "Minghao", "" ], [ "Xu", "Yiheng", "" ], [ "Cui", "Lei", "" ], [ "Huang", "Shaohan", "" ], [ "Wei", "Furu", "" ], [ "Li", "Zhoujun", "" ], [ "Zhou", "Ming", "" ] ]
Document layout analysis usually relies on computer vision models to understand documents while ignoring textual information that is vital to capture. Meanwhile, high quality labeled datasets with both visual and textual information are still insufficient. In this paper, we present \textbf{DocBank}, a benchmark dataset...
2106.07115
Qi Lyu
Qi Lyu, Xiao Fu, Weiran Wang and Songtao Lu
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Accepted to ICLR 2022 Spotlight, 37 pages, 11 figures
null
null
null
cs.LG cs.AI cs.CV stat.ML
http://creativecommons.org/licenses/by/4.0/
Multiple views of data, both naturally acquired (e.g., image and audio) and artificially produced (e.g., via adding different noise to data samples), have proven useful in enhancing representation learning. Natural views are often handled by multiview analysis tools, e.g., (deep) canonical correlation analysis [(D)CC...
[ { "created": "Mon, 14 Jun 2021 00:12:36 GMT", "version": "v1" }, { "created": "Thu, 17 Jun 2021 16:51:29 GMT", "version": "v2" }, { "created": "Fri, 8 Apr 2022 19:37:10 GMT", "version": "v3" } ]
2022-04-12
[ [ "Lyu", "Qi", "" ], [ "Fu", "Xiao", "" ], [ "Wang", "Weiran", "" ], [ "Lu", "Songtao", "" ] ]
Multiple views of data, both naturally acquired (e.g., image and audio) and artificially produced (e.g., via adding different noise to data samples), have proven useful in enhancing representation learning. Natural views are often handled by multiview analysis tools, e.g., (deep) canonical correlation analysis [(D)CCA]...
2401.08095
Hyung-Seok Oh
Hyung-Seok Oh, Sang-Hoon Lee, Deok-Hyeon Cho, Seong-Whan Lee
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation
14 pages, 11 figures, 12 tables
null
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Emotional voice conversion involves modifying the pitch, spectral envelope, and other acoustic characteristics of speech to match a desired emotional state while maintaining the speaker's identity. Recent advances in EVC involve simultaneously modeling pitch and duration by exploiting the potential of sequence-to-seq...
[ { "created": "Tue, 16 Jan 2024 03:39:35 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 08:40:01 GMT", "version": "v2" }, { "created": "Thu, 8 Aug 2024 23:54:14 GMT", "version": "v3" } ]
2024-08-12
[ [ "Oh", "Hyung-Seok", "" ], [ "Lee", "Sang-Hoon", "" ], [ "Cho", "Deok-Hyeon", "" ], [ "Lee", "Seong-Whan", "" ] ]
Emotional voice conversion involves modifying the pitch, spectral envelope, and other acoustic characteristics of speech to match a desired emotional state while maintaining the speaker's identity. Recent advances in EVC involve simultaneously modeling pitch and duration by exploiting the potential of sequence-to-seque...
1905.04403
Maximilian Weininger
Pranav Ashok, Jan K\v{r}et\'insk\'y and Maximilian Weininger
PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games
null
null
10.1007/978-3-030-25540-4_29
null
cs.SY cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Statistical model checking (SMC) is a technique for analysis of probabilistic systems that may be (partially) unknown. We present an SMC algorithm for (unbounded) reachability yielding probably approximately correct (PAC) guarantees on the results. We consider both the setting (i) with no knowledge of the transition ...
[ { "created": "Fri, 10 May 2019 23:36:05 GMT", "version": "v1" }, { "created": "Fri, 24 May 2019 11:15:44 GMT", "version": "v2" }, { "created": "Mon, 1 Feb 2021 15:00:17 GMT", "version": "v3" } ]
2021-02-02
[ [ "Ashok", "Pranav", "" ], [ "Křetínský", "Jan", "" ], [ "Weininger", "Maximilian", "" ] ]
Statistical model checking (SMC) is a technique for analysis of probabilistic systems that may be (partially) unknown. We present an SMC algorithm for (unbounded) reachability yielding probably approximately correct (PAC) guarantees on the results. We consider both the setting (i) with no knowledge of the transition fu...
1702.02901
Dongrui Wu
Dongrui Wu, Vernon J. Lawhern, Stephen Gordon, Brent J. Lance, Chin-Teng Lin
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)
in press
IEEE Trans.on Fuzzy Systems, 25(6), pp. 1522-1535, 2017
10.1109/TFUZZ.2016.2633379
null
cs.LG cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One big challenge that hinders the transition of brain-computer interfaces (BCIs) from laboratory settings to real-life applications is the availability of high-performance and robust learning algorithms that can effectively handle individual differences, i.e., algorithms that can be applied to a new subject with zer...
[ { "created": "Thu, 9 Feb 2017 17:14:15 GMT", "version": "v1" } ]
2020-02-13
[ [ "Wu", "Dongrui", "" ], [ "Lawhern", "Vernon J.", "" ], [ "Gordon", "Stephen", "" ], [ "Lance", "Brent J.", "" ], [ "Lin", "Chin-Teng", "" ] ]
One big challenge that hinders the transition of brain-computer interfaces (BCIs) from laboratory settings to real-life applications is the availability of high-performance and robust learning algorithms that can effectively handle individual differences, i.e., algorithms that can be applied to a new subject with zero ...
2005.05165
Kwabena Doku-Amponsah
Enoch Sakyi-Yeboah, Charles Kwofie and Kwabena Doku-Amponsah
Large Deviation Principle for Empirical SINR Measure of Critical Telecommunication Networks
12 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For a \emph{ powered Poisson process}, we define \emph{Signal-to-Interference-plus-Noise Ratio}(SINR) and thesinr network as a Telecommunication Network. We define the Empirical Measures (\emph{empirical powered measure}, \emph{empirical link measure} and \emph{empirical sinr measure}) of a class of Telecommunication...
[ { "created": "Mon, 11 May 2020 14:58:33 GMT", "version": "v1" }, { "created": "Sat, 16 May 2020 16:48:59 GMT", "version": "v2" } ]
2020-05-19
[ [ "Sakyi-Yeboah", "Enoch", "" ], [ "Kwofie", "Charles", "" ], [ "Doku-Amponsah", "Kwabena", "" ] ]
For a \emph{ powered Poisson process}, we define \emph{Signal-to-Interference-plus-Noise Ratio}(SINR) and thesinr network as a Telecommunication Network. We define the Empirical Measures (\emph{empirical powered measure}, \emph{empirical link measure} and \emph{empirical sinr measure}) of a class of Telecommunication N...
2106.14439
Yuhao Liu
Yuhao Liu, Jiake Xie, Yu Qiao, Yong Tang and, Xin Yang
Prior-Induced Information Alignment for Image Matting
IEEE TMM
null
10.1109/TMM.2021.3087007.
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Image matting is an ill-posed problem that aims to estimate the opacity of foreground pixels in an image. However, most existing deep learning-based methods still suffer from the coarse-grained details. In general, these algorithms are incapable of felicitously distinguishing the degree of exploration between determi...
[ { "created": "Mon, 28 Jun 2021 07:46:59 GMT", "version": "v1" } ]
2021-06-29
[ [ "Liu", "Yuhao", "" ], [ "Xie", "Jiake", "" ], [ "Qiao", "Yu", "" ], [ "and", "Yong Tang", "" ], [ "Yang", "Xin", "" ] ]
Image matting is an ill-posed problem that aims to estimate the opacity of foreground pixels in an image. However, most existing deep learning-based methods still suffer from the coarse-grained details. In general, these algorithms are incapable of felicitously distinguishing the degree of exploration between determini...
2306.06476
Abdelhamid Haouhat
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, Hadda Cherroun
Modality Influence in Multimodal Machine Learning
10 pages
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Multimodal Machine Learning has emerged as a prominent research direction across various applications such as Sentiment Analysis, Emotion Recognition, Machine Translation, Hate Speech Recognition, and Movie Genre Classification. This approach has shown promising results by utilizing modern deep learning architectures...
[ { "created": "Sat, 10 Jun 2023 16:28:52 GMT", "version": "v1" } ]
2023-06-13
[ [ "Haouhat", "Abdelhamid", "" ], [ "Bellaouar", "Slimane", "" ], [ "Nehar", "Attia", "" ], [ "Cherroun", "Hadda", "" ] ]
Multimodal Machine Learning has emerged as a prominent research direction across various applications such as Sentiment Analysis, Emotion Recognition, Machine Translation, Hate Speech Recognition, and Movie Genre Classification. This approach has shown promising results by utilizing modern deep learning architectures. ...
2210.08128
Sergio Ram\'irez
Santiago Quintero, Carlos Pinz\'on, Sergio Ram\'irez, Frank Valencia
On the Computation of Distributed Knowledge as the Greatest Lower Bound of Knowledge
null
null
null
null
cs.MA
http://creativecommons.org/licenses/by-nc-sa/4.0/
Let $L$ be a finite lattice and $\mathcal{E}(L)$ be the set of join endomorphisms of $L$. We consider the problem of given $L$ and $f,g \in \mathcal{E}(L)$, finding the greatest lower bound $f \sqcap_{{\scriptsize \mathcal{E}(L)}} g$ in the lattice $\mathcal{E}(L)$. (1) We show that if $L$ is distributive, the proble...
[ { "created": "Fri, 14 Oct 2022 21:54:15 GMT", "version": "v1" }, { "created": "Tue, 25 Oct 2022 00:12:24 GMT", "version": "v2" } ]
2022-10-26
[ [ "Quintero", "Santiago", "" ], [ "Pinzón", "Carlos", "" ], [ "Ramírez", "Sergio", "" ], [ "Valencia", "Frank", "" ] ]
Let $L$ be a finite lattice and $\mathcal{E}(L)$ be the set of join endomorphisms of $L$. We consider the problem of given $L$ and $f,g \in \mathcal{E}(L)$, finding the greatest lower bound $f \sqcap_{{\scriptsize \mathcal{E}(L)}} g$ in the lattice $\mathcal{E}(L)$. (1) We show that if $L$ is distributive, the problem ...