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Poster
Thu 18:00 On Layer Normalization in the Transformer Architecture
Ruibin Xiong · Yunchang Yang · Di He · Kai Zheng · Shuxin Zheng · Chen Xing · Huishuai Zhang · Yanyan Lan · Liwei Wang · Tie-Yan Liu
Poster
Wed 16:00 Automated Synthetic-to-Real Generalization
Wuyang Chen · Zhiding Yu · Zhangyang “Atlas” Wang · Anima Anandkumar
Poster
Thu 8:00 Generalization and Representational Limits of Graph Neural Networks
Vikas K Garg · Stefanie Jegelka · Tommi Jaakkola
Poster
Wed 8:00 Learning to Score Behaviors for Guided Policy Optimization
Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Krzysztof Choromanski · Anna Choromanska · Michael Jordan
Poster
Wed 12:00 Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
Konstantinos Pitas
Poster
Wed 14:00 Explicit Gradient Learning for Black-Box Optimization
Elad Sarafian · Mor Sinay · yoram louzoun · Noa Agmon · Sarit Kraus
Poster
Wed 14:00 Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen · Leshem Choshen · Daphna Weinshall
Poster
Tue 10:00 On Learning Sets of Symmetric Elements
Haggai Maron · Or Litany · Gal Chechik · Ethan Fetaya
Poster
Wed 13:00 On the Generalization Benefit of Noise in Stochastic Gradient Descent
Samuel Smith · Erich Elsen · Soham De
Poster
Tue 11:00 Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland
Poster
Wed 5:00 The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
Ben Adlam · Jeffrey Pennington
Poster
Thu 9:00 Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg · Aniket Bajpai · Mausam