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Poster
Thu 9:00 Recurrent Experience Replay in Distributed Reinforcement Learning
Steven Kapturowski · Georg Ostrovski · John Quan · Remi Munos · Will Dabney
Poster
Tue 14:30 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Xiao · Vincent Tjeng · Nur Muhammad Shafiullah · Aleksander Madry
Poster
Tue 9:00 Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock · Jeff Donahue · Karen Simonyan
Poster
Tue 14:30 The Unusual Effectiveness of Averaging in GAN Training
Yasin YAZICI · Chuan-Sheng Foo · Stefan Winkler · Kim-Hui Yap · Georgios Piliouras · Vijay Chandrasekhar
Poster
Tue 14:30 On the Sensitivity of Adversarial Robustness to Input Data Distributions
Gavin Ding · Yik Chau Lui · Xiaomeng Jin · Luyu Wang · Ruitong Huang
Poster
Wed 9:00 Learning to Navigate the Web
Izzeddin Gur · Ulrich Rueckert · Aleksandra Faust · Dilek Hakkani-Tur
Oral
Mon 8:15 Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock · Jeff Donahue · Karen Simonyan
Poster
Sat 23:00 Improving the Efficiency of Distributed Training using Sparse Parameter Averaging
Matt Beton · Seth Howes · Alex Cheema · Mohamed Baioumy
Poster
Wed 9:00 How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
Poster
Thu 9:00 Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar · Yulia Tsvetkov
Poster
Thu 9:00 No Training Required: Exploring Random Encoders for Sentence Classification
John Wieting · Douwe Kiela