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Oral
Tue Jun 11th 04:00 -- 04:20 PM @ Hall A
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li · Chenjie Gu · Thomas Dullien · Oriol Vinyals · Pushmeet Kohli
Oral
Tue Jun 11th 04:20 -- 04:25 PM @ Hall A
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou · Minghao Yang · Jun Wang · Wei Pan
Oral
Tue Jun 11th 04:25 -- 04:30 PM @ Hall A
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee · Yoonho Lee · Jungtaek Kim · Adam Kosiorek · Seungjin Choi · Yee Whye Teh
Oral
Tue Jun 11th 04:30 -- 04:35 PM @ Hall A
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
Yigitcan Kaya · Sanghyun Hong · Tudor Dumitras
Oral
Tue Jun 11th 04:35 -- 04:40 PM @ Hall A
Graph U-Nets
Hongyang Gao · Shuiwang Ji
Oral
Tue Jun 11th 04:40 -- 05:00 PM @ Hall A
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang · Priya Donti · Bryan Wilder · Zico Kolter
Oral
Tue Jun 11th 05:00 -- 05:05 PM @ Hall A
Area Attention
Yang Li · Lukasz Kaiser · Samy Bengio · Si Si
Oral
Tue Jun 11th 05:05 -- 05:10 PM @ Hall A
The Evolved Transformer
David So · Quoc Le · Chen Liang
Oral
Tue Jun 11th 05:10 -- 05:15 PM @ Hall A
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs
Shengjie Wang · Tianyi Zhou · Jeff Bilmes
Oral
Tue Jun 11th 05:15 -- 05:20 PM @ Hall A
Stochastic Deep Networks
Gwendoline De Bie · Gabriel Peyré · Marco Cuturi