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Poster
Mon 9:00 Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua Chang · Patrick A Fletcher · Jungmin Han · Ted Chang · Shashaank Vattikuti · Bart Desmet · Ayah Zirikly · Carson Chow
Poster
Wed 17:00 Evaluations and Methods for Explanation through Robustness Analysis
Cheng-Yu Hsieh · Chih-Kuan Yeh · Xuanqing Liu · Pradeep K Ravikumar · Seungyeon Kim · Sanjiv Kumar · Cho-Jui Hsieh
Poster
Thu 17:00 Evaluation of Similarity-based Explanations
Kazuaki Hanawa · Sho Yokoi · Satoshi Hara · Kentaro Inui
Poster
Mon 1:00 Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
Suraj Srinivas · Fran├žois Fleuret
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
Tue 9:00 Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen · Ivana Balazevic · Timothy Hospedales
Poster
Tue 1:00 Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang · Wenzheng Chen · Huan Ling · Jun Gao · Yinan Zhang · Antonio Torralba · Sanja Fidler
Oral
Mon 5:30 Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
Suraj Srinivas · Fran├žois Fleuret
Poster
Mon 9:00 Using latent space regression to analyze and leverage compositionality in GANs
Lucy Chai · Jonas Wulff · Phillip Isola
Poster
Wed 9:00 Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Schlichtkrull · Nicola De Cao · Ivan Titov
Poster
Thu 17:00 A Learning Theoretic Perspective on Local Explainability
Jeffrey Li · Vaishnavh Nagarajan · Gregory Plumb · Ameet Talwalkar
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