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18 Results
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Poster
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Thu 14:00 |
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé · Mihaela van der Schaar |
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Poster
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Tue 9:00 |
GlanceNets: Interpretable, Leak-proof Concept-based Models Emanuele Marconato · Andrea Passerini · Stefano Teso |
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Workshop
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GlanceNets: Interpretable, Leak-proof Concept-based Models Emanuele Marconato · Andrea Passerini · Stefano Teso |
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Workshop
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Fri 4:40 |
GlanceNets: Interpretable, Leak-proof Concept-based Models Emanuele Marconato · Andrea Passerini · Stefano Teso |
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Workshop
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Post-Hoc Attribute-Based Explanations for Recommender Systems Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri |
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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 |
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Expo Talk Panel
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Mon 7:30 |
TIPDAT: ML based Optimization Explainer Manan Chopra · Saurabh Unercat · Brijesh Singhal · Sholeh Forouzan |
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Workshop
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Fri 11:45 |
Post-Hoc Attribute-Based Explanations for Recommender Systems Sahil Verma · Anurag Beniwal · Narayanan Sadagopan · Arjun Seshadri |
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Workshop
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Concept-based Understanding of Emergent Multi-Agent Behavior Niko Grupen · Shayegan Omidshafiei · Natasha Jaques · Been Kim |
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Poster
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Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective Ruofan Liu · Yun Lin · XIANGLIN YANG · Jin Song Dong |
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Workshop
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Fri 6:45 |
The Need for Explainability in AI-Based Creativity Support Tools. Antonios Liapis, Jichen Zhu |
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Poster
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Wed 14:00 |
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Mohammad Reza Taesiri · Giang Nguyen · Anh Nguyen |