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Poster
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Wed 1:00
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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 1:00
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Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
Ziang Yan · Yiwen Guo · Jian Liang · Changshui Zhang
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Workshop
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Fri 7:00
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Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective
Yan Leng
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Poster
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Mon 9:00
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Shapley Explanation Networks
Rui Wang · Xiaoqian Wang · David Inouye
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Poster
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Wed 17:00
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Influence Functions in Deep Learning Are Fragile
Samyadeep Basu · Phil Pope · Soheil Feizi
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Poster
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Mon 9:00
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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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Thu 17:00
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A Learning Theoretic Perspective on Local Explainability
Jeffrey Li · Vaishnavh Nagarajan · Gregory Plumb · Ameet Talwalkar
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Poster
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Thu 17:00
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Representing Partial Programs with Blended Abstract Semantics
Maxwell Nye · Yewen Pu · Matthew Bowers · Jacob Andreas · Joshua B Tenenbaum · Armando Solar-Lezama
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Poster
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Wed 9:00
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Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Xiaojie Guo · Yuanqi Du · Liang Zhao
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Poster
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Tue 9:00
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Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen · Ivana Balazevic · Timothy Hospedales
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Poster
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Thu 17:00
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Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh · Kimin Lee · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
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Poster
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Thu 1:00
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Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning
Enrico Marchesini · Davide Corsi · Alessandro Farinelli
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