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Spotlight
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Tue 19:25
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Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman · Zico Kolter
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Spotlight
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Tue 3:45
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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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Wed 1:00
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Simple Spectral Graph Convolution
Hao Zhu · Piotr Koniusz
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Poster
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Tue 1:00
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Hyperbolic Neural Networks++
Ryohei Shimizu · YUSUKE Mukuta · Tatsuya Harada
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Poster
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Tue 17:00
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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 9:00
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Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman · Zico Kolter
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Poster
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Wed 9:00
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More or Less: When and How to Build Convolutional Neural Network Ensembles
Abdul Wasay · Stratos Idreos
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Poster
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Mon 9:00
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Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci
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Poster
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Mon 1:00
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Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume
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Poster
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Mon 9:00
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Trajectory Prediction using Equivariant Continuous Convolution
Robin Walters · Jinxi Li · Rose Yu
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Poster
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Mon 1:00
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PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan · Xin Yu · Yuhang Ding · Yi Yang · Mohan Kankanhalli
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Spotlight
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Tue 12:30
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Mind the Pad -- CNNs Can Develop Blind Spots
Bilal Alsallakh · Narine Kokhlikyan · Vivek Miglani · Jun Yuan · Orion Reblitz-Richardson
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