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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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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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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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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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Wed 1:00 |
Explainable Deep One-Class Classification Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller |
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Poster
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Tue 1:00 |
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judith Borowski · Roland Zimmermann · Judith Schepers · Robert Geirhos · Thomas S Wallis · Matthias Bethge · Wieland Brendel |
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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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Oral
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Mon 19:15 |
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 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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Workshop
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Fri 8:50 |
PROBLEM AND SOLUTION DOCUMENTATION TEMPLATE FOR MACHINE LEARNING COMPETITIONS TO ENHANCE EXPLAINABILITY, REPRODUCIBILITY, AND COLLABORATION BETWEEN STAKEHOLDERS Oluwaseun Hamzat |
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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 9:00 |
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica · Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar |