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Poster
Thu 7:00 Graph Structure of Neural Networks
Jiaxuan You · Jure Leskovec · Kaiming He · Saining Xie
Poster
Wed 13:00 Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin · Gabriel Peyré · Thomas Moreau
Poster
Thu 7:00 ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier
Poster
Thu 7:00 Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Kun Xu · Chongxuan Li · Jun Zhu · Bo Zhang
Poster
Wed 12:00 Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
Poster
Thu 12:00 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth · Timo Milbich · Samrath Sinha · Prateek Gupta · Bjorn Ommer · Joseph Paul Cohen
Poster
Thu 6:00 From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras · Shibani Santurkar · Logan Engstrom · Andrew Ilyas · Aleksander Madry
Poster
Tue 8:00 Angular Visual Hardness
Beidi Chen · Weiyang Liu · Zhiding Yu · Jan Kautz · Anshumali Shrivastava · Animesh Garg · Anima Anandkumar
Poster
Wed 10:00 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Tue 7:00 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
Poster
Tue 8:00 Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit · Ron Meir · Kamil Ciosek
Poster
Wed 12:00 Towards a General Theory of Infinite-Width Limits of Neural Classifiers
Eugene Golikov