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Mon 1:00 Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Mon 1:00 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang
Mon 1:00 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross
Mon 1:00 Trusted Multi-View Classification
Zongbo Han · Changqing Zhang · Huazhu FU · Joey T Zhou
Invited Talk
Mon 8:00 Moving beyond the fairness rhetoric in machine learning
Timnit Gebru
Mon 9:00 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
Mon 9:00 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki
Mon 9:00 Shapley Explanation Networks
Rui Wang · Xiaoqian Wang · David Inouye
Mon 9:00 Language-Agnostic Representation Learning of Source Code from Structure and Context
Daniel Zügner · Tobias Kirschstein · Michele Catasta · Jure Leskovec · Stephan Günnemann
Mon 9:00 Single-Photon Image Classification
Thomas Fischbacher · Luciano Sbaiz
Mon 11:45 Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li · Mikhail Khodak · Nina Balcan · Ameet Talwalkar