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Oral
Thu Jun 13 08:00 AM -- 08:20 AM (KST) @ Hall A
How does Disagreement Help Generalization against Label Corruption?
In Deep Learning Algorithms
Xingrui Yu · Bo Han · Jiangchao Yao · Gang Niu · Ivor Tsang · Masashi Sugiyama
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:20 AM -- 08:25 AM (KST) @ Hall A
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
In Deep Learning Algorithms
Chaoqi Wang · Roger Grosse · Sanja Fidler · Guodong Zhang
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:25 AM -- 08:30 AM (KST) @ Hall A
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
In Deep Learning Algorithms
Chen Huang · Shuangfei Zhai · Walter Talbott · Miguel Angel Bautista Martin · Shih-Yu Sun · Carlos Guestrin · Joshua M Susskind
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:30 AM -- 08:35 AM (KST) @ Hall A
Deep Compressed Sensing
In Deep Learning Algorithms
Yan Wu · Mihaela Rosca · Timothy Lillicrap
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:35 AM -- 08:40 AM (KST) @ Hall A
Differentiable Dynamic Normalization for Learning Deep Representation
In Deep Learning Algorithms
Ping Luo · Peng Zhanglin · Shao Wenqi · Zhang ruimao · Ren jiamin · Wu lingyun
[ Slides]  [ Video] 
Oral
Thu Jun 13 08:40 AM -- 09:00 AM (KST) @ Hall A
Toward Understanding the Importance of Noise in Training Neural Networks
In Deep Learning Algorithms
Mo Zhou · Tianyi Liu · Yan Li · Dachao Lin · Enlu Zhou · Tuo Zhao
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:00 AM -- 09:05 AM (KST) @ Hall A
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
In Deep Learning Algorithms
Mario Lezcano Casado · David Martínez-Rubio
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:05 AM -- 09:10 AM (KST) @ Hall A
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
In Deep Learning Algorithms
Ikuro Sato · Kohta Ishikawa · Guoqing Liu · Masayuki Tanaka
Oral
Thu Jun 13 09:10 AM -- 09:15 AM (KST) @ Hall A
Understanding the Impact of Entropy on Policy Optimization
In Deep Learning Algorithms
Zafarali Ahmed · Nicolas Le Roux · Mohammad Norouzi · Dale Schuurmans
[ Slides]  [ Video] 
Oral
Thu Jun 13 09:15 AM -- 09:20 AM (KST) @ Hall A
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning
In Deep Learning Algorithms
Casey Chu · Jose Blanchet · Peter Glynn
[ Slides]  [ Video]