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 Holzmüller