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Poster
Tue 14:00 PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
Sanae Lotfi · Marc Finzi · Sanyam Kapoor · Andres Potapczynski · Micah Goldblum · Andrew Wilson
Workshop
Machine Learning Explainability from an Information-theoretic Perspective
Debargha Ganguly · Debayan Gupta
Poster
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
Ruofan Liu · Yun Lin · XIANGLIN YANG · Jin Song Dong
Poster
Wed 14:00 Self-Supervised Fair Representation Learning without Demographics
Junyi Chai · Xiaoqian Wang
Poster
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu · Zhongdao Wang · Ya-Li Li · Shengjin Wang
Poster
Thu 14:00 Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy · Shadi Hamdan · Sercan Arik · Deniz Yuret · Alper Erdogan
Poster
Wed 14:00 Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
Poster
Wed 9:00 Neural Basis Models for Interpretability
Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan
Poster
Wed 14:00 ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
Ronilo Ragodos · Tong Wang · Qihang Lin · Xun Zhou
Poster
Tue 9:00 Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu · Swaroop Mishra · Tanglin Xia · Liang Qiu · Kai-Wei Chang · Song-Chun Zhu · Oyvind Tafjord · Peter Clark · Ashwin Kalyan
Workshop
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze · Nicklas Hansen · Yinbo Chen · Mohit Jain · Xiaolong Wang
Workshop
Fri 7:10 Learning to Look by Self-Prediction
Matthew Grimes