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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 11:00 AM -- 11:20 AM (KST)
AlphaNet: Improved Training of Supernets with Alpha-Divergence
In AutoML and Neural Network Architectures 2
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
[ Paper ]
Spotlight
Wed Jul 21 11:20 AM -- 11:25 AM (KST)
Catformer: Designing Stable Transformers via Sensitivity Analysis
In AutoML and Neural Network Architectures 2
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
[ Paper ]
Spotlight
Wed Jul 21 11:25 AM -- 11:30 AM (KST)
A Receptor Skeleton for Capsule Neural Networks
In AutoML and Neural Network Architectures 2
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
[ Paper ]
Spotlight
Wed Jul 21 11:30 AM -- 11:35 AM (KST)
Explore Visual Concept Formation for Image Classification
In AutoML and Neural Network Architectures 2
Shengzhou Xiong · Yihua Tan · Guoyou Wang
[ Paper ]
Spotlight
Wed Jul 21 11:35 AM -- 11:40 AM (KST)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
In AutoML and Neural Network Architectures 2
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
[ Paper ]
Spotlight
Wed Jul 21 11:40 AM -- 11:45 AM (KST)
High-Performance Large-Scale Image Recognition Without Normalization
In AutoML and Neural Network Architectures 2
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
[ Paper ]
Spotlight
Wed Jul 21 11:45 AM -- 11:50 AM (KST)
Lipschitz normalization for self-attention layers with application to graph neural networks
In AutoML and Neural Network Architectures 2
George Dasoulas · Kevin Scaman · Aladin Virmaux
[ Paper ]
Q&A
Wed Jul 21 11:50 AM -- 11:55 AM (KST)
Q&A
In AutoML and Neural Network Architectures 2