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

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🗒 Interactive Classification for Deep Learning Interpretation
👥 Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
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🗒 Self-Imitation Learning
👥 Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
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🗒 Learning in POMDPs with Monte Carlo Tree Search
👥 Sammie Katt, Frans A. Oliehoek, Christopher Amato
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🗒 Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
👥 Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
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🗒 Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
👥 Frank G. Glavin, Michael G. Madden
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🗒 Improved Density-Based Spatio--Textual Clustering on Social Media
👥 Minh D. Nguyen, Won-Yong Shin
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🗒 Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
👥 Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
📗 PDF


🗒 Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
👥 Lina M. Rojas-Barahona, Iñigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
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🗒 Selfless Sequential Learning
👥 Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
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🗒 Configurable Markov Decision Processes
👥 Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
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🗒 Hierarchical interpretations for neural network predictions
👥 Chandan Singh, W. James Murdoch, Bin Yu
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🗒 Shape Features Extraction Using a Partial Differential Equation
👥 Takayuki Yamada
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🗒 Apuntes de Redes Neuronales Artificiales
👥 J. C. Cuevas-Tello
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🗒 Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
👥 Aleksandr I. Panov, Aleksey Skrynnik
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🗒 What About Applied Fairness?
👥 Jared Sylvester, Edward Raff
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