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31 Results
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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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Workshop
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Characterizing Anomalies with Explainable Classifiers Naveen Durvasula · Valentine d Hauteville · Keegan Hines · John Dickerson |
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Poster
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Wed 9:00 |
Self-Explaining Deviations for Coordination Hengyuan Hu · Samuel Sokota · David Wu · Anton Bakhtin · Andrei Lupu · Brandon Cui · Jakob Foerster |
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Workshop
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Fri 9:00 |
Characterizing Anomalies with Explainable Classifiers Naveen Durvasula · Valentine d Hauteville · Keegan Hines · John Dickerson |
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Workshop
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Beyond Decision Recommendations: Stop Putting Machine Learning First and Design Human-Centered AI for Decision Support Zana Bucinca · Alexandra Chouldechova · Jennifer Wortman Vaughan · Krzysztof Z Gajos |
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Poster
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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 |
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Poster
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Tue 14:00 |
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents James MacGlashan · Evan Archer · Alisa Devlic · Takuma Seno · Craig Sherstan · Peter Wurman · Peter Stone |