firstbacksecondback
38 Results
|
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 |
|
|
Oral
|
Mon 5:30 |
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability Suraj Srinivas · François Fleuret |
|
|
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 |
|
|
Poster
|
Wed 17:00 |
A Geometric Analysis of Deep Generative Image Models and Its Applications Binxu Wang · Carlos Ponce |
|
|
Poster
|
Wed 1:00 |
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru · Xingchen Wan · Xiaowen Dong · Michael Osborne |
|
|
Poster
|
Mon 1:00 |
Interpreting and Boosting Dropout from a Game-Theoretic View Hao Zhang · Sen Li · YinChao Ma · Mingjie Li · Yichen Xie · Quanshi Zhang |
|
|
Oral
|
Tue 12:15 |
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 |
|
|
Poster
|
Tue 9:00 |
Tradeoffs in Data Augmentation: An Empirical Study Raphael Gontijo Lopes · Sylvia Smullin · Ekin Cubuk · Ethan Dyer |
|
|
Poster
|
Mon 9:00 |
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG Garrett Honke · Irina Higgins · Nina Thigpen · Vladimir Miskovic · Katie Link · Sunny Duan · Pramod Gupta · Julia Klawohn · Greg Hajcak |
|
|
Poster
|
Mon 9:00 |
Shapley Explanation Networks Rui Wang · Xiaoqian Wang · David Inouye |
|
|
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
|
Wed 17:00 |
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman · Aaron Chan · Siddhant Agarwal · PeiFeng Wang · Hansen Wang · Sungchul Kim · Ryan Rossi · Handong Zhao · Nedim Lipka · Xiang Ren |