|
Spotlight Session
|
Tue 10:30
|
SA: Accountability, Transparency and Interpretability
|
|
|
Poster
|
Thu 15:00
|
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Weichao Zhou · Wenchao Li
|
|
|
Spotlight
|
Thu 8:40
|
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Weichao Zhou · Wenchao Li
|
|
|
Poster
|
Wed 15:30
|
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé · Mihaela van der Schaar
|
|
|
Poster
|
Tue 15:30
|
Meaningfully debugging model mistakes using conceptual counterfactual explanations
Abubakar Abid · Mert Yuksekgonul · James Zou
|
|
|
Spotlight
|
Wed 7:35
|
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé · Mihaela van der Schaar
|
|
|
Poster
|
Tue 15:30
|
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong · Tobias Leemann · Vadim Borisov · Gjergji Kasneci · Enkelejda Kasneci
|
|
|
Poster
|
Tue 15:30
|
Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang · Matt Fredrikson · Anupam Datta
|
|
|
Spotlight
|
Tue 7:40
|
Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang · Matt Fredrikson · Anupam Datta
|
|
|
Spotlight
|
Tue 11:00
|
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong · Tobias Leemann · Vadim Borisov · Gjergji Kasneci · Enkelejda Kasneci
|
|
|
Spotlight
|
Tue 10:30
|
Meaningfully debugging model mistakes using conceptual counterfactual explanations
Abubakar Abid · Mert Yuksekgonul · James Zou
|
|
|
Poster
|
Thu 15:00
|
Global Optimization Networks
Sen Zhao · Erez Louidor · Maya Gupta
|
|
