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12 Results
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Poster
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Thu 9:00 |
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations Amit Dhurandhar · Karthikeyan Natesan Ramamurthy · Karthikeyan Shanmugam |
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Poster
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Counterfactual Temporal Point Processes Kimia Noorbakhsh · Manuel Rodriguez |
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Workshop
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But Are You Sure? Quantifying Uncertainty in Model Explanations Charles Marx · Youngsuk Park · Hilaf Hasson · Yuyang (Bernie) Wang · Stefano Ermon · Chaitanya Baru |
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Poster
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Wed 9:00 |
Implications of Model Indeterminacy for Explanations of Automated Decisions Marc-Etienne Brunet · Ashton Anderson · Richard Zemel |
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Workshop
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Fri 13:00 |
Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings Tina Han · Jette Henderson · Pedram Akbarian Saravi · Joydeep Ghosh |
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Poster
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Tue 14:00 |
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor Salim I. Amoukou · Nicolas Brunel |
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Poster
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Thu 14:00 |
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar D Abraham · Karel D'Oosterlinck · Amir Feder · Yair Gat · Atticus Geiger · Christopher Potts · Roi Reichart · Zhengxuan Wu |
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Affinity Workshop
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Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen · Wanyu Du · Yangfeng Ji |
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Poster
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Wed 14:00 |
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal · Satyapriya Krishna · Eshika Saxena · Martin Pawelczyk · Nari Johnson · Isha Puri · Marinka Zitnik · Himabindu Lakkaraju |
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Poster
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Learning to Generate Inversion-Resistant Model Explanations Hoyong Jeong · Suyoung Lee · Sung Ju Hwang · Sooel Son |
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Poster
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Thu 9:00 |
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes · Marcos Treviso · Danish Pruthi · André Martins · Graham Neubig |
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Poster
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Thu 14:00 |
Explainable Reinforcement Learning via Model Transforms Mira Finkelstein · Nitsan levy · Lucy Liu · Yoav Kolumbus · David Parkes · Jeffrey S Rosenschein · Sarah Keren |