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Poster
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Tue 10:45
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Fine-grained Optimization of Deep Neural Networks
Mete Ozay
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Poster
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Thu 10:45
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A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen · Mario Geiger · Maurice Weiler
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Poster
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Thu 10:45
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Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Kohei Hayashi · Taiki Yamaguchi · Yohei Sugawara · Shin-ichi Maeda
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Poster
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Tue 10:45
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Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven · Gabriel Peyré
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Poster
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Thu 10:45
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Neural Similarity Learning
Weiyang Liu · Zhen Liu · James Rehg · Le Song
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Poster
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Tue 10:45
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Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You · Kun Yan · Jinmian Ye · Meng Ma · Ping Wang
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Poster
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Thu 10:45
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Deep Scale-spaces: Equivariance Over Scale
Daniel Worrall · Max Welling
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Poster
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Thu 10:45
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General E(2)-Equivariant Steerable CNNs
Maurice Weiler · Gabriele Cesa
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Poster
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Thu 10:45
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Self-Routing Capsule Networks
Taeyoung Hahn · Myeongjang Pyeon · Gunhee Kim
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Poster
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Tue 10:45
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One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos · Haonan Yu · Michela Paganini · Yuandong Tian
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Poster
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Thu 10:45
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Gaussian-Based Pooling for Convolutional Neural Networks
Takumi Kobayashi
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Poster
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Wed 17:00
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Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
Ximei Wang · Ying Jin · Mingsheng Long · Jianmin Wang · Michael Jordan
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