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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


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


πŸ—’ Self-Imitation Learning
πŸ‘₯ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
πŸ“— PDF


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


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


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


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


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


πŸ—’ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
πŸ‘₯ Lina M. Rojas-Barahona, IΓ±igo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
πŸ“— PDF


πŸ—’ Selfless Sequential Learning
πŸ‘₯ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
πŸ“— PDF


πŸ—’ Configurable Markov Decision Processes
πŸ‘₯ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
πŸ“— PDF


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



AI Python & arXiv Channel
All papers published in past two days:
Category: Computational Complexity
#ComputationalComplexity


πŸ—’ Losing at Checkers is Hard
πŸ‘₯ Jeffrey Bosboom, Spencer Congero, Erik D. Demaine, Martin L. Demaine, Jayson Lynch
πŸ“— PDF



AI Python & arXiv Channel
All papers published in past two days:
Category: Computational Engineering, Finance, and Science
#ComputationalEngineeringFinanceandScience


πŸ—’ Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation
πŸ‘₯ Karol Gellert, Erik SchlΓΆgl
πŸ“— PDF



AI Python & arXiv Channel
All papers published in past two days:
Category: Cryptography and Security
#CryptographyandSecurity


πŸ—’ Anonymous Information Delivery
πŸ‘₯ Hua Sun
πŸ“— PDF


πŸ—’ A Static-Loop-Current Attack against the KLJN Secure Key Exchange System
πŸ‘₯ Mutaz Y. Melhem, Laszlo B. Kish
πŸ“— PDF


πŸ—’ Securing Majority-Attack In Blockchain Using Machine Learning And Algorithmic Game Theory: A Proof of Work
πŸ‘₯ Somdip Dey
πŸ“— PDF


πŸ—’ An Effective Privacy-Preserving Data Coding in Peer-To-Peer Network
πŸ‘₯ Ngoc Hong Tran, Cao-Vien Phung, Binh Quoc Nguyen, Leila Bahri
πŸ“— PDF


πŸ—’ How to design browser security and privacy alerts
πŸ‘₯ Lynsay A. Shepherd, Karen Renaud
πŸ“— PDF


πŸ—’ Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
πŸ‘₯ Dong Yin, Yudong Chen, Kannan Ramchandran, Peter Bartlett
πŸ“— PDF



AI Python & arXiv Channel
All papers published in past two days:
Category: Computers and Society
#ComputersandSociety


πŸ—’ Market-Oriented Information Trading in Internet of Things (IoT) for Smart Cities
πŸ‘₯ Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han
πŸ“— PDF


πŸ—’ SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
πŸ‘₯ Jisun An, Haewoon Kwak, Yong-Yeol Ahn
πŸ“— PDF


πŸ—’ How to design browser security and privacy alerts
πŸ‘₯ Lynsay A. Shepherd, Karen Renaud
πŸ“— PDF



AI Python & arXiv Channel
All papers published in past two days:
Category: Distributed, Parallel, and Cluster Computing
#DistributedParallelandClusterComputing


πŸ—’ Market-Oriented Information Trading in Internet of Things (IoT) for Smart Cities
πŸ‘₯ Yang Zhang, Zehui Xiong, Dusit Niyato, Ping Wang, Zhu Han
πŸ“— PDF


πŸ—’ Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
πŸ‘₯ Dong Yin, Yudong Chen, Kannan Ramchandran, Peter Bartlett
πŸ“— PDF



AI Python & arXiv Channel