Skip to yearly menu bar Skip to main content


(10 events)   Timezone:  
Show all
Toggle Poster Visibility
Oral
Fri Jun 14 03:00 AM -- 03:20 AM (KST) @ Hall A
Understanding and correcting pathologies in the training of learned optimizers
In Deep Learning
Luke Metz · Niru Maheswaranathan · Jeremy Nixon · Daniel Freeman · Jascha Sohl-Dickstein
Oral
Fri Jun 14 03:20 AM -- 03:25 AM (KST) @ Hall A
Demystifying Dropout
In Deep Learning
Hongchang Gao · Jian Pei · Heng Huang
[ Slides] 
Oral
Fri Jun 14 03:25 AM -- 03:30 AM (KST) @ Hall A
Ladder Capsule Network
In Deep Learning
Taewon Jeong · Youngmin Lee · Heeyoung Kim
[ Slides] 
Oral
Fri Jun 14 03:30 AM -- 03:35 AM (KST) @ Hall A
Unreproducible Research is Reproducible
In Deep Learning
Xavier Bouthillier · César Laurent · Pascal Vincent
[ Slides] 
Oral
Fri Jun 14 03:35 AM -- 03:40 AM (KST) @ Hall A
Geometric Scattering for Graph Data Analysis
In Deep Learning
Feng Gao · Guy Wolf · Matthew Hirn
[ Slides] 
Oral
Fri Jun 14 03:40 AM -- 04:00 AM (KST) @ Hall A
Robust Inference via Generative Classifiers for Handling Noisy Labels
In Deep Learning
Kimin Lee · Sukmin Yun · Kibok Lee · Honglak Lee · Bo Li · Jinwoo Shin
[ Slides] 
Oral
Fri Jun 14 04:00 AM -- 04:05 AM (KST) @ Hall A
LIT: Learned Intermediate Representation Training for Model Compression
In Deep Learning
Animesh Koratana · Daniel Kang · Peter Bailis · Matei Zaharia
[ Slides] 
Oral
Fri Jun 14 04:05 AM -- 04:10 AM (KST) @ Hall A
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
In Deep Learning
Nicholas Frosst · Nicolas Papernot · Geoffrey Hinton
[ Slides] 
Oral
Fri Jun 14 04:10 AM -- 04:15 AM (KST) @ Hall A
What is the Effect of Importance Weighting in Deep Learning?
In Deep Learning
Jonathon Byrd · Zachary Lipton
[ Slides] 
Oral
Fri Jun 14 04:15 AM -- 04:20 AM (KST) @ Hall A
Similarity of Neural Network Representations Revisited
In Deep Learning
Simon Kornblith · Mohammad Norouzi · Honglak Lee · Geoffrey Hinton
[ Slides]