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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 AM -- 10:20 AM (KST)
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
In Deep Learning Algorithms and Applications
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
[ Paper ]
Spotlight
Wed Jul 21 10:20 AM -- 10:25 AM (KST)
EfficientNetV2: Smaller Models and Faster Training
In Deep Learning Algorithms and Applications
Mingxing Tan · Quoc Le
[ Paper ]
Spotlight
Wed Jul 21 10:25 AM -- 10:30 AM (KST)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
In Deep Learning Algorithms and Applications
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
[ Paper ]
Spotlight
Wed Jul 21 10:30 AM -- 10:35 AM (KST)
LAMDA: Label Matching Deep Domain Adaptation
In Deep Learning Algorithms and Applications
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
[ Paper ]
Spotlight
Wed Jul 21 10:35 AM -- 10:40 AM (KST)
Temporally Correlated Task Scheduling for Sequence Learning
In Deep Learning Algorithms and Applications
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
[ Paper ]
Spotlight
Wed Jul 21 10:40 AM -- 10:45 AM (KST)
Information Obfuscation of Graph Neural Networks
In Deep Learning Algorithms and Applications
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
[ Paper ]
Q&A
Wed Jul 21 10:45 AM -- 10:50 AM (KST)
Q&A
In Deep Learning Algorithms and Applications