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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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All papers published in past two days:
Category: Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ Interactive Classification for Deep Learning Interpretation
๐Ÿ‘ฅ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
๐Ÿ“— PDF


๐Ÿ—’ Self-Imitation Learning
๐Ÿ‘ฅ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
๐Ÿ“— PDF


๐Ÿ—’ Learning in POMDPs with Monte Carlo Tree Search
๐Ÿ‘ฅ Sammie Katt, Frans A. Oliehoek, Christopher Amato
๐Ÿ“— PDF


๐Ÿ—’ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
๐Ÿ‘ฅ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
๐Ÿ“— PDF


๐Ÿ—’ Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
๐Ÿ‘ฅ Frank G. Glavin, Michael G. Madden
๐Ÿ“— PDF


๐Ÿ—’ Improved Density-Based Spatio--Textual Clustering on Social Media
๐Ÿ‘ฅ Minh D. Nguyen, Won-Yong Shin
๐Ÿ“— PDF


๐Ÿ—’ Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
๐Ÿ‘ฅ Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
๐Ÿ“— PDF


๐Ÿ—’ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
๐Ÿ‘ฅ Lina M. Rojas-Barahona, Iรฑigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
๐Ÿ“— PDF


๐Ÿ—’ Selfless Sequential Learning
๐Ÿ‘ฅ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
๐Ÿ“— PDF


๐Ÿ—’ Configurable Markov Decision Processes
๐Ÿ‘ฅ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
๐Ÿ“— PDF


๐Ÿ—’ Hierarchical interpretations for neural network predictions
๐Ÿ‘ฅ Chandan Singh, W. James Murdoch, Bin Yu
๐Ÿ“— PDF



AI Python & arXiv Channel
Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ Interactive Classification for Deep Learning Interpretation
๐Ÿ‘ฅ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
๐Ÿ“— PDF


๐Ÿ—’ Self-Imitation Learning
๐Ÿ‘ฅ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
๐Ÿ“— PDF


๐Ÿ—’ Learning in POMDPs with Monte Carlo Tree Search
๐Ÿ‘ฅ Sammie Katt, Frans A. Oliehoek, Christopher Amato
๐Ÿ“— PDF


๐Ÿ—’ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
๐Ÿ‘ฅ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
๐Ÿ“— PDF


๐Ÿ—’ Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
๐Ÿ‘ฅ Frank G. Glavin, Michael G. Madden
๐Ÿ“— PDF


๐Ÿ—’ Improved Density-Based Spatio--Textual Clustering on Social Media
๐Ÿ‘ฅ Minh D. Nguyen, Won-Yong Shin
๐Ÿ“— PDF


๐Ÿ—’ Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
๐Ÿ‘ฅ Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
๐Ÿ“— PDF


๐Ÿ—’ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
๐Ÿ‘ฅ Lina M. Rojas-Barahona, Iรฑigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
๐Ÿ“— PDF


๐Ÿ—’ Selfless Sequential Learning
๐Ÿ‘ฅ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
๐Ÿ“— PDF


๐Ÿ—’ Configurable Markov Decision Processes
๐Ÿ‘ฅ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
๐Ÿ“— PDF


๐Ÿ—’ Hierarchical interpretations for neural network predictions
๐Ÿ‘ฅ Chandan Singh, W. James Murdoch, Bin Yu
๐Ÿ“— PDF


๐Ÿ—’ Shape Features Extraction Using a Partial Differential Equation
๐Ÿ‘ฅ Takayuki Yamada
๐Ÿ“— PDF


๐Ÿ—’ Apuntes de Redes Neuronales Artificiales
๐Ÿ‘ฅ J. C. Cuevas-Tello
๐Ÿ“— PDF


๐Ÿ—’ Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
๐Ÿ‘ฅ Aleksandr I. Panov, Aleksey Skrynnik
๐Ÿ“— PDF


๐Ÿ—’ What About Applied Fairness?
๐Ÿ‘ฅ Jared Sylvester, Edward Raff
๐Ÿ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ Learning Instance Segmentation by Interaction
๐Ÿ‘ฅ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
๐Ÿ“— PDF


๐Ÿ—’ Interpretable Discovery in Large Image Data Sets
๐Ÿ‘ฅ Kiri L. Wagstaff, Jake Lee
๐Ÿ“— PDF


๐Ÿ—’ Log Skeletons: A Classification Approach to Process Discovery
๐Ÿ‘ฅ H. M. W. Verbeek, R. Medeiros de Carvalho
๐Ÿ“— PDF


๐Ÿ—’ Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
๐Ÿ‘ฅ Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
๐Ÿ“— PDF


๐Ÿ—’ Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
๐Ÿ‘ฅ Jose M. Peรฑa
๐Ÿ“— PDF


๐Ÿ—’ A New Approach for Resource Scheduling with Deep Reinforcement Learning
๐Ÿ‘ฅ Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
๐Ÿ“— PDF


๐Ÿ—’ Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
๐Ÿ‘ฅ Martin Biehl, Christian Guckelsberger, Christoph Salge, Simรณn C. Smith, Daniel Polani
๐Ÿ“— PDF


๐Ÿ—’ Learning Cognitive Models using Neural Networks
๐Ÿ‘ฅ Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
๐Ÿ“— PDF


๐Ÿ—’ Towards a Grounded Dialog Model for Explainable Artificial Intelligence
๐Ÿ‘ฅ Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
๐Ÿ“— PDF


๐Ÿ—’ Flexible Neural Representation for Physics Prediction
๐Ÿ‘ฅ Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
๐Ÿ“— PDF


๐Ÿ—’ A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
๐Ÿ‘ฅ Amy Zhang, Nicolas Ballas, Joelle Pineau
๐Ÿ“— PDF


๐Ÿ—’ RUDDER: Return Decomposition for Delayed Rewards
๐Ÿ‘ฅ Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
๐Ÿ“— PDF


๐Ÿ—’ Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
๐Ÿ‘ฅ Jan Matas, Stephen James, Andrew J. Davison
๐Ÿ“— PDF


๐Ÿ—’ Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
๐Ÿ‘ฅ Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
๐Ÿ“— PDF


๐Ÿ—’ Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
๐Ÿ‘ฅ En Li, Zhi Zhou, Xu Chen
๐Ÿ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
๐Ÿ‘ฅ Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
๐Ÿ“— PDF


๐Ÿ—’ Learning Social Conventions in Markov Games
๐Ÿ‘ฅ Adam Lerer, Alexander Peysakhovich
๐Ÿ“— PDF


๐Ÿ—’ Adversarial Exploration Strategy for Self-Supervised Imitation Learning
๐Ÿ‘ฅ Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee
๐Ÿ“— PDF


๐Ÿ—’ Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting
๐Ÿ‘ฅ Thomas Lukasiewicz, Enrico Malizia
๐Ÿ“— PDF


๐Ÿ—’ Independence of Sources in Social Networks
๐Ÿ‘ฅ Manel Chehibi, Mouna Chebbah, Arnaud Martin
๐Ÿ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
๐Ÿ‘ฅ Dan Hendrycks, Thomas G. Dietterich
๐Ÿ“— PDF


๐Ÿ—’ Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
๐Ÿ‘ฅ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
๐Ÿ“— PDF


๐Ÿ—’ Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
๐Ÿ‘ฅ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
๐Ÿ“— PDF


๐Ÿ—’ Encoding Spatial Relations from Natural Language
๐Ÿ‘ฅ Tiago Ramalho, Tomรกลก Kociskรฝ, Frederic Besse, S. M. Ali Eslami, Gรกbor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
๐Ÿ“— PDF


๐Ÿ—’ MIXGAN: Learning Concepts from Different Domains for Mixture Generation
๐Ÿ‘ฅ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
๐Ÿ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
To access articles related to a category, touch the HashTag:

๐Ÿ“— Artificial Intelligence
๐Ÿ‘‰ #ArtificialIntelligence ๐Ÿ‘ˆ

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๐Ÿ“— Networking and Internet Architecture
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๐Ÿ“— Social and Information Networks
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๐Ÿ“— Systems and Control
๐Ÿ‘‰ #SystemsandControl ๐Ÿ‘ˆ

โ™จ๏ธ arXiv Channel
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ Kernel-Based Learning for Smart Inverter Control
๐Ÿ‘ฅ Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis
๐Ÿ“— PDF


๐Ÿ—’ Is Q-learning Provably Efficient?
๐Ÿ‘ฅ Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck, Michael I. Jordan
๐Ÿ“— PDF


๐Ÿ—’ SimArch: A Multi-agent System For Human Path Simulation In Architecture Design
๐Ÿ‘ฅ Yen-Chia Hsu
๐Ÿ“— PDF


๐Ÿ—’ Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
๐Ÿ‘ฅ Timothy Wong, Zhiyuan Luo
๐Ÿ“— PDF


๐Ÿ—’ Handling Incomplete Heterogeneous Data using VAEs
๐Ÿ‘ฅ Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
๐Ÿ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
Forwarded from arXiv
To access articles related to a category, touch the HashTag:

๐Ÿ“— Artificial Intelligence
๐Ÿ‘‰ #ArtificialIntelligence ๐Ÿ‘ˆ

๐Ÿ“— Hardware Architecture
๐Ÿ‘‰ #HardwareArchitecture ๐Ÿ‘ˆ

๐Ÿ“— Computational Complexity
๐Ÿ‘‰ #ComputationalComplexity ๐Ÿ‘ˆ

๐Ÿ“— Computational Engineering, Finance, and Science
๐Ÿ‘‰ #ComputationalEngineeringFinanceandScience ๐Ÿ‘ˆ

๐Ÿ“— Computational Geometry
๐Ÿ‘‰ #ComputationalGeometry ๐Ÿ‘ˆ

๐Ÿ“— Computation and Language
๐Ÿ‘‰ #ComputationandLanguage ๐Ÿ‘ˆ

๐Ÿ“— Cryptography and Security
๐Ÿ‘‰ #CryptographyandSecurity ๐Ÿ‘ˆ

๐Ÿ“— Computer Vision and Pattern Recognition
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๐Ÿ“— Computers and Society
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๐Ÿ“— Discrete Mathematics
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๐Ÿ“— Data Structures and Algorithms
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๐Ÿ“— Emerging Technologies
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๐Ÿ“— Formal Languages and Automata Theory
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๐Ÿ“— Human-Computer Interaction
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๐Ÿ“— Information Retrieval
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๐Ÿ“— Information Theory
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โ™จ๏ธ arXiv Channel
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


๐Ÿ—’ Scalable Tensor Completion with Nonconvex Regularization
๐Ÿ‘ฅ Quanming Yao
๐Ÿ“— PDF


๐Ÿ—’ NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference
๐Ÿ‘ฅ Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
๐Ÿ“— PDF


๐Ÿ—’ Data Science with Vadalog: Bridging Machine Learning and Reasoning
๐Ÿ‘ฅ Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu
๐Ÿ“— PDF


๐Ÿ—’ The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
๐Ÿ‘ฅ Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
๐Ÿ“— PDF


๐Ÿ—’ Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
๐Ÿ‘ฅ Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang
๐Ÿ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
Forwarded from arXiv
To access articles related to a category, touch the HashTag:

๐Ÿ“— Artificial Intelligence
๐Ÿ‘‰ #ArtificialIntelligence ๐Ÿ‘ˆ

๐Ÿ“— Hardware Architecture
๐Ÿ‘‰ #HardwareArchitecture ๐Ÿ‘ˆ

๐Ÿ“— Computational Complexity
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๐Ÿ“— Logic in Computer Science
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๐Ÿ“— Neural and Evolutionary Computing
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๐Ÿ“— Networking and Internet Architecture
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๐Ÿ“— Systems and Control
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โ™จ๏ธ arXiv Channel