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Oral
Tue Jun 11th 11:00 -- 11:20 AM @ Hall A
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman · Ran El-Yaniv
Oral
Tue Jun 11th 11:20 -- 11:25 AM @ 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
Oral
Tue Jun 11th 11:25 -- 11:30 AM @ Hall A
Processing Megapixel Images with Deep Attention-Sampling Models
Angelos Katharopoulos · Francois Fleuret
Oral
Tue Jun 11th 11:30 -- 11:35 AM @ Hall A
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon · Jun Seo · Jaekyun Moon
Oral
Tue Jun 11th 11:35 -- 11:40 AM @ Hall A
Online Meta-Learning
Chelsea Finn · Aravind Rajeswaran · Sham Kakade · Sergey Levine
Oral
Tue Jun 11th 11:40 AM -- 12:00 PM @ Hall A
Training Neural Networks with Local Error Signals
Arild N√łkland · Lars Hiller Eidnes
Oral
Tue Jun 11th 12:00 -- 12:05 PM @ Hall A
GMNN: Graph Markov Neural Networks
Meng Qu · Yoshua Bengio · Jian Tang
Oral
Tue Jun 11th 12:05 -- 12:10 PM @ Hall A
Self-Attention Graph Pooling
Junhyun Lee · Inyeop Lee · Jaewoo Kang
Oral
Tue Jun 11th 12:10 -- 12:15 PM @ Hall A
Combating Label Noise in Deep Learning using Abstention
Sunil Thulasidasan · Tanmoy Bhattacharya · Jeff Bilmes · Gopinath Chennupati · Jamal Mohd-Yusof
Oral
Tue Jun 11th 12:15 -- 12:20 PM @ 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