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Poster
Tue 1:00 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
Poster
Mon 1:00 PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan · Xin Yu · Yuhang Ding · Yi Yang · Mohan Kankanhalli
Poster
Wed 9:00 More or Less: When and How to Build Convolutional Neural Network Ensembles
Abdul Wasay · Stratos Idreos
Poster
Wed 9:00 Probabilistic Numeric Convolutional Neural Networks
Marc Finzi · Roberto Bondesan · Max Welling
Oral
Thu 11:45 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
Poster
Tue 17:00 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
Poster
Wed 17:00 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao · Raquel Urtasun · Richard Zemel
Poster
Tue 1:00 Hyperbolic Neural Networks++
Ryohei Shimizu · YUSUKE Mukuta · Tatsuya Harada
Poster
Tue 1:00 Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
Oral
Thu 0:30 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
Spotlight
Tue 12:50 Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
Poster
Mon 1:00 On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzm├╝ller