|
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
|
|
