36 Results

Poster
Tue 7:00 Reverse-engineering deep ReLU networks
David Rolnick, Konrad Kording
Poster
Tue 7:00 Explaining Groups of Points in Low-Dimensional Representations
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar
Poster
Tue 7:00 Efficient nonparametric statistical inference on population feature importance using Shapley values
Brian Williamson, Jean Feng
Poster
Tue 7:00 On Second-Order Group Influence Functions for Black-Box Predictions
Samyadeep Basu, Xuchen You, Soheil Feizi
Poster
Tue 7:00 Problems with Shapley-value-based explanations as feature importance measures
Lizzie Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler
Poster
Tue 7:00 Causal Strategic Linear Regression
Yonadav Shavit, Ben 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 Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani, Percy Liang
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 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 The Many Shapley Values for Model Explanation
Mukund Sundararajan, Amir Najmi
Poster
Tue 9:00 Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Daniel Jarrett, Mihaela van der Schaar
Poster
Tue 10:00 Explainable k-Means and k-Medians Clustering
Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost
Poster
Tue 11:00 When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt, Maximilian Granz, Tim Landgraf
Poster
Wed 5:00 Robust and Stable Black Box Explanations
Hima Lakkaraju, Nino Arsov, Osbert Bastani
Poster
Wed 5:00 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Debjani Saha, Candice Schumann, Duncan McElfresh, John P Dickerson, Michelle Mazurek, Michael Tschantz
Poster
Wed 8:00 Predictive Multiplicity in Classification
Charles Marx, Flavio Calmon, Berk Ustun
Poster
Wed 8:00 Circuit-Based Intrinsic Methods to Detect Overfitting
Satrajit Chatterjee, Alan Mishchenko
Poster
Wed 8:00 Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
Poster
Wed 9:00 Accountable Off-Policy Evaluation With Kernel Bellman Statistics
Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
Poster
Wed 9:00 Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han
Poster
Wed 11:00 Multidimensional Shape Constraints
Maya Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Taman Narayan, Sen Zhao
Poster
Wed 11:00 Fairwashing explanations with off-manifold detergent
Christopher Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-robert Mueller, Pan Kessel
Poster
Wed 11:00 The Shapley Taylor Interaction Index
Mukund Sundararajan, Kedar Dhamdhere, Ashish Agarwal
Poster
Wed 12:00 Radioactive data: tracing through training
Alexandre Sablayrolles, Douze Matthijs, Cordelia Schmid, Herve Jegou
Poster
Wed 12:00 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez
Poster
Wed 13:00 Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge
Laura Rieger, Chandan Singh, William Murdoch, Bin Yu
Poster
Thu 6:00 Strategic Classification is Causal Modeling in Disguise
John Miller, Smitha Milli, Moritz Hardt
Poster
Thu 6:00 Born-again Tree Ensembles
Thibaut Vidal, Maximilian Schiffer
Poster
Thu 6:00 Concise Explanations of Neural Networks using Adversarial Training
PRASAD Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha
Poster
Thu 6:00 Transparency Promotion with Model-Agnostic Linear Competitors
Hassan Rafique, Tong Wang, Qihang Lin, Arshia Singhani
Poster
Thu 6:00 Invariant Rationalization
Shiyu Chang, Yang Zhang, Mo Yu, Tommi Jaakkola
Poster
Thu 8:00 Generalized and Scalable Optimal Sparse Decision Trees
Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo Seltzer
Poster
Thu 8:00 Cost-Effective Interactive Attention Learning with Neural Attention Processes
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
Poster
Thu 9:00 Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
Poster
Thu 9:00 Concept Bottleneck Models
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Steve Mussmann, Emma Pierson, Been Kim, Percy Liang