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Poster
Wed 9:00 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu · Mathieu Salzmann · Tao Lin · Ryota Tomioka · Sabine Süsstrunk
Poster
Wed 9:00 Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina · Ruth Fong · Andrea Vedaldi
Poster
Mon 21:00 Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma · Manohar Kaul
Workshop
Ethical Testing in the Real World: Recommendations for Physical Testing of Adversarial Machine Learning Attacks
Ram Shankar Siva Kumar · Maggie Delano · Kendra Albert · Afsaneh Rigot · Jonathon Penney
Poster
Wed 9:00 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
Spotlight
Wed 8:10 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
Poster
Wed 9:00 Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen · Chen Liang · Adams Wei Yu · Dawn Song · Denny Zhou
Oral
Wed 6:00 High-Fidelity Generative Image Compression
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
Poster
Wed 9:00 High-Fidelity Generative Image Compression
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
Poster
Wed 9:00 Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti · Alex Beutel · Jilin Chen · Kang Lee · Flavien Prost · Nithum Thain · Xuezhi Wang · Ed Chi
Poster
Tue 9:00 GPS-Net: Graph-based Photometric Stereo Network
Zhuokun Yao · Kun Li · Ying Fu · Haofeng Hu · Boxin Shi
Poster
Tue 21:00 Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo · Qizhang Li · Hao Chen