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Poster
Wed 17:00 Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li · Yinpeng Chen · Xiyang Dai · mengchen liu · Dongdong Chen · Ye Yu · Lu Yuan · Zicheng Liu · Mei Chen · Nuno Vasconcelos
Poster
Tue 1:00 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun · Zhanxing Zhu · Zhouchen Lin
Poster
Wed 1:00 A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang · Maurice Weiler
Poster
Tue 17:00 Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers
Sahil Singla · Soheil Feizi
Poster
Wed 9:00 Probabilistic Numeric Convolutional Neural Networks
Marc Finzi · Roberto Bondesan · Max Welling
Poster
Tue 1:00 Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach · Shai Shalev-Shwartz
Poster
Tue 9:00 Meta-learning Symmetries by Reparameterization
Allan Zhou · Tom Knowles · Chelsea Finn
Poster
Mon 1:00 The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Louis THIRY · Michael Arbel · Eugene Belilovsky · Edouard Oyallon
Poster
Thu 17:00 Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
Mangal Prakash · Alexander Krull · Florian Jug
Poster
Wed 17:00 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao · Raquel Urtasun · Richard Zemel
Poster
Mon 9:00 Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng · Zichen Miao · Qiang Qiu
Poster
Mon 17:00 Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer