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22 Results
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Poster
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Thu 1:00 |
Interpretable Models for Granger Causality Using Self-explaining Neural Networks Ričards Marcinkevičs · Julia E Vogt |
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Poster
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Wed 17:00 |
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp |
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Poster
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Thu 1:00 |
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Zhengxian Lin · Kin-Ho Lam · Alan Fern |
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Poster
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Mon 17:00 |
Explaining the Efficacy of Counterfactually Augmented Data Divyansh Kaushik · Amrith Setlur · Eduard H Hovy · Zachary Lipton |
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Poster
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Thu 17:00 |
Molecule Optimization by Explainable Evolution Binghong Chen · Tianzhe Wang · Chengtao Li · Hanjun Dai · Le Song |
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Poster
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Tue 9:00 |
Transformer protein language models are unsupervised structure learners Roshan Rao · Joshua Meier · Tom Sercu · Sergey Ovchinnikov · Alexander Rives |
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Poster
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Mon 17:00 |
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi · Suzanne Petryk · Akash Gokul · William Gan · Joseph E Gonzalez · Marcus Rohrbach · trevor darrell |
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Poster
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Mon 9:00 |
Shapley explainability on the data manifold Christopher Frye · Damien De Mijolla · Tom Begley · Laurence Cowton · Megan Stanley · Ilya Feige |
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Poster
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Mon 9:00 |
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica · Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar |
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Poster
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Mon 9:00 |
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew Leavitt · Ari Morcos |
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Poster
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Wed 1:00 |
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning Alihan Hüyük · Daniel Jarrett · Cem Tekin · Mihaela van der Schaar |
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Poster
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Tue 9:00 |
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato |