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Poster
Tue 7:00 Explaining Groups of Points in Low-Dimensional Representations
Gregory Plumb · Jonathan Terhorst · Sriram Sankararaman · Ameet Talwalkar
Poster
Tue 7:00 On Second-Order Group Influence Functions for Black-Box Predictions
Samyadeep Basu · Xuchen You · Soheil Feizi
Poster
Tue 7:00 Reverse-engineering deep ReLU networks
David Rolnick · Konrad Kording
Poster
Tue 7:00 Efficient nonparametric statistical inference on population feature importance using Shapley values
Brian Williamson · Jean Feng
Poster
Tue 7:00 Problems with Shapley-value-based explanations as feature importance measures
Indra Kumar · Suresh Venkatasubramanian · Carlos Scheidegger · Sorelle Friedler
Poster
Tue 7:00 Causal Strategic Linear Regression
Yonadav Shavit · Benjamin Edelman · Brian Axelrod
Poster
Tue 7:00 Interpolation between Residual and Non-Residual Networks
Zonghan Yang · Yang Liu · Chenglong Bao · Zuoqiang Shi
Poster
Tue 8:00 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi · Dinghuai Zhang · Qi Dai · Zhanxing Zhu · Yadong Mu · Jingdong Wang
Poster
Tue 8:00 Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani · Percy Liang
Poster
Tue 9:00 The Many Shapley Values for Model Explanation
Mukund Sundararajan · Amir Najmi
Poster
Tue 9:00 CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page
Poster
Tue 9:00 Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Daniel Jarrett · Mihaela van der Schaar