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33 Results
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Poster
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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 |
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Oral
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Thu 11:45 |
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li · Yi Zhang · Sanjeev Arora |
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Poster
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Wed 17:00 |
Mind the Pad -- CNNs Can Develop Blind Spots Bilal Alsallakh · Narine Kokhlikyan · Vivek Miglani · Jun Yuan · Orion Reblitz-Richardson |
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Poster
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Wed 17:00 |
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao · Raquel Urtasun · Richard Zemel |
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Poster
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Mon 1:00 |
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling |
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Poster
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Mon 17:00 |
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer |
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Spotlight
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Mon 21:36 |
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng · Zichen Miao · Qiang Qiu |
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Poster
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Thu 17:00 |
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders Mangal Prakash · Alexander Krull · Florian Jug |
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Workshop
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Fri 7:14 |
Poster Spotlight "MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders" Daniel Dimanov · Emili Balaguer-Ballester |