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Poster
Thu 1:00 Interpretable Models for Granger Causality Using Self-explaining Neural Networks
Ričards Marcinkevičs · Julia E Vogt
Poster
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
Poster
Tue 9:00 Transformer protein language models are unsupervised structure learners
Roshan Rao · Joshua Meier · Tom Sercu · Sergey Ovchinnikov · Alexander Rives
Poster
Thu 17:00 Molecule Optimization by Explainable Evolution
Binghong Chen · Tianzhe Wang · Chengtao Li · Hanjun Dai · Le Song
Poster
Wed 1:00 Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
Poster
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
Poster
Mon 9:00 Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
Matthew Leavitt · Ari Morcos
Oral
Mon 19:15 Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions
Zhengxian Lin · Kin-Ho Lam · Alan Fern
Poster
Mon 9:00 Shapley explainability on the data manifold
Christopher Frye · Damien De Mijolla · Tom Begley · Laurence Cowton · Megan Stanley · Ilya Feige
Workshop
Fri 8:50 PROBLEM AND SOLUTION DOCUMENTATION TEMPLATE FOR MACHINE LEARNING COMPETITIONS TO ENHANCE EXPLAINABILITY, REPRODUCIBILITY, AND COLLABORATION BETWEEN STAKEHOLDERS
Oluwaseun Hamzat
Poster
Thu 1:00 Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions
Zhengxian Lin · Kin-Ho Lam · Alan Fern
Poster
Mon 9:00 Learning "What-if" Explanations for Sequential Decision-Making
Ioana Bica · Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar