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Poster
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Thu 14:00 |
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam · Ahcène Boubekki · Stine Hansen · Suaiba Salahuddin · Robert Jenssen · Marina Höhne · Michael Kampffmeyer |
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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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Poster
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Tue 9:00 |
Self-explaining deep models with logic rule reasoning Seungeon Lee · Xiting Wang · Sungwon Han · Xiaoyuan Yi · Xing Xie · Meeyoung Cha |
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Workshop
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COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data Hossein Aboutalebi · Maya Pavlova · Mohammad Javad Shafiee · Adrian Florea · Andrew Hryniowski · Alexander Wong |
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Poster
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Thu 14:00 |
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off Mateo Espinosa Zarlenga · Pietro Barbiero · Gabriele Ciravegna · Giuseppe Marra · Francesco Giannini · Michelangelo Diligenti · Zohreh Shams · Frederic Precioso · Stefano Melacci · Adrian Weller · Pietro Lió · Mateja Jamnik |
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Poster
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Wed 9:00 |
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network Giyoung Jeon · Haedong Jeong · Jaesik Choi |
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Poster
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Wed 9:00 |
Implications of Model Indeterminacy for Explanations of Automated Decisions Marc-Etienne Brunet · Ashton Anderson · Richard Zemel |
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Poster
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Explicable Policy Search Ze Gong · Yu ("Tony") Zhang |
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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 |
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Poster
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Wed 9:00 |
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh |
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Poster
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Tue 9:00 |
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF Jayneel Parekh · Sanjeel Parekh · Pavlo Mozharovskyi · Florence d'Alché-Buc · Gaël Richard |
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Poster
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Tue 14:00 |
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi · Marc Finzi · Sanyam Kapoor · Andres Potapczynski · Micah Goldblum · Andrew Wilson |