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Spotlight
Mon 11:45 Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li · Mikhail Khodak · Nina Balcan · Ameet Talwalkar
Spotlight
Mon 13:40 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang · Yulia Tsvetkov · Orhan Firat · Yuan Cao
Poster
Wed 17:00 Efficient Wasserstein Natural Gradients for Reinforcement Learning
Ted Moskovitz · Michael Arbel · Ferenc Huszar · Arthur Gretton
Poster
Mon 17:00 Learning A Minimax Optimizer: A Pilot Study
Jiayi Shen · Xiaohan Chen · Howard Heaton · Tianlong Chen · Jialin Liu · Wotao Yin · Zhangyang Wang
Poster
Tue 9:00 Understanding Over-parameterization in Generative Adversarial Networks
Yogesh Balaji · Mohammadmahdi Sajedi · Neha Kalibhat · Mucong Ding · Dominik Stöger · Mahdi Soltanolkotabi · Soheil Feizi
Poster
Thu 1:00 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien
Poster
Wed 1:00 Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
Poster
Wed 17:00 Economic Hyperparameter Optimization With Blended Search Strategy
Chi Wang · Qingyun Wu · Silu Huang · Amin Saied
Workshop
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri
Workshop
Fri 11:06 Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
Poster
Mon 17:00 Personalized Federated Learning with First Order Model Optimization
Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez
Poster
Mon 9:00 Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang · Felix Wu · Arzoo Katiyar · Kilian Weinberger · Yoav Artzi