5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence
π Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
π₯ Dan Hendrycks, Thomas G. Dietterich
π PDF
π Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
π₯ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
π PDF
π Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
π₯ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
π PDF
π Encoding Spatial Relations from Natural Language
π₯ Tiago Ramalho, TomΓ‘Ε‘ KociskΓ½, Frederic Besse, S. M. Ali Eslami, GΓ‘bor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
π PDF
π MIXGAN: Learning Concepts from Different Domains for Mixture Generation
π₯ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
π PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Artificial Intelligence
#ArtificialIntelligence
π Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
π₯ Dan Hendrycks, Thomas G. Dietterich
π PDF
π Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
π₯ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
π PDF
π Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
π₯ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
π PDF
π Encoding Spatial Relations from Natural Language
π₯ Tiago Ramalho, TomΓ‘Ε‘ KociskΓ½, Frederic Besse, S. M. Ali Eslami, GΓ‘bor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
π PDF
π MIXGAN: Learning Concepts from Different Domains for Mixture Generation
π₯ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
π PDF
#ArtificialIntelligence
AI Python & arXiv Channel