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Oral
Tue Jun 11 11:00 AM -- 11:20 AM (PDT) @ Hall A
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman · Ran El-Yaniv
Oral
Tue Jun 11 11:20 AM -- 11:25 AM (PDT) @ Hall A
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma · Alex Lamb · Christopher Beckham · Amir Najafi · Ioannis Mitliagkas · David Lopez-Paz · Yoshua Bengio
[ Slides [ Video
Oral
Tue Jun 11 11:25 AM -- 11:30 AM (PDT) @ Hall A
Processing Megapixel Images with Deep Attention-Sampling Models
Angelos Katharopoulos · Francois Fleuret
[ Slides [ Video
Oral
Tue Jun 11 11:30 AM -- 11:35 AM (PDT) @ Hall A
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon · Jun Seo · Jaekyun Moon
[ Slides [ Video
Oral
Tue Jun 11 11:35 AM -- 11:40 AM (PDT) @ Hall A
Online Meta-Learning
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine
[ Slides [ Video
Oral
Tue Jun 11 11:40 AM -- 12:00 PM (PDT) @ Hall A
Training Neural Networks with Local Error Signals
Arild N√łkland · Lars Hiller Eidnes
[ Slides [ Video
Oral
Tue Jun 11 12:00 PM -- 12:05 PM (PDT) @ Hall A
GMNN: Graph Markov Neural Networks
Meng Qu · Yoshua Bengio · Jian Tang
[ Slides [ Video
Oral
Tue Jun 11 12:05 PM -- 12:10 PM (PDT) @ Hall A
Self-Attention Graph Pooling
Junhyun Lee · Inyeop Lee · Jaewoo Kang
[ Slides [ Video
Oral
Tue Jun 11 12:10 PM -- 12:15 PM (PDT) @ Hall A
Combating Label Noise in Deep Learning using Abstention
Sunil Thulasidasan · Tanmoy Bhattacharya · Jeff Bilmes · Gopinath Chennupati · Jamal Mohd-Yusof
[ Slides [ Video
Oral
Tue Jun 11 12:15 PM -- 12:20 PM (PDT) @ Hall A
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li · Weiming Dong · Xing Mei · Chongyang Ma · Feiyue Huang · Bao-Gang Hu
[ Slides [ Video