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Poster
Tue 14:00 Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis · Tommi Jaakkola
Poster
Wed 7:45 Insights on representational similarity in neural networks with canonical correlation
Ari Morcos · Maithra Raghu · Samy Bengio
Poster
Wed 7:45 PCA of high dimensional random walks with comparison to neural network training
Joseph Antognini · Jascha Sohl-Dickstein
Poster
Tue 14:00 Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson
Poster
Tue 7:45 Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
Michael Tsang · Hanpeng Liu · Sanjay Purushotham · Pavankumar Murali · Yan Liu
Poster
Wed 7:45 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi · W. Ronny Huang · Mahyar Najibi · Octavian Suciu · Christoph Studer · Tudor Dumitras · Tom Goldstein
Poster
Tue 14:00 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
Wenbo Guo · Sui Huang · Yunzhe Tao · Xinyu Xing · Lin Lin
Poster
Tue 14:00 Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon
Poster
Tue 7:45 Representer Point Selection for Explaining Deep Neural Networks
Chih-Kuan Yeh · Joon Kim · Ian En-Hsu Yen · Pradeep Ravikumar
Poster
Wed 7:45 Sanity Checks for Saliency Maps
Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim
Poster
Tue 7:45 Visualizing the Loss Landscape of Neural Nets
Hao Li · Zheng Xu · Gavin Taylor · Christoph Studer · Tom Goldstein
Poster
Tue 7:45 Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
Xin Zhang · Armando Solar-Lezama · Rishabh Singh