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Poster
Wed 17:00 NBDT: Neural-Backed Decision Tree
Alvin Wan · Lisa Dunlap · Daniel Ho · Jihan Yin · Scott Lee · Suzanne Petryk · Sarah A Bargal · Joseph E Gonzalez
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
Tue 9:00 Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
Workshop
Fri 12:20 Weakly Supervised Multi-task Learning for Concept-based Explainability - Q&A
Poster
Thu 17:00 A Learning Theoretic Perspective on Local Explainability
Jeffrey Li · Vaishnavh Nagarajan · Gregory Plumb · Ameet Talwalkar
Oral
Wed 4:05 Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
Poster
Thu 17:00 Evaluation of Similarity-based Explanations
Kazuaki Hanawa · Sho Yokoi · Satoshi Hara · Kentaro Inui
Workshop
Fri 12:05 Weakly Supervised Multi-task Learning for Concept-based Explainability
Vladimir Balayan
Poster
Mon 9:00 Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
Matthew Leavitt · Ari Morcos
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