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Oral
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Mon 21:21
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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka
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Poster
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Wed 9:00
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TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
Martin Trimmel · Henning Petzka · Cristian Sminchisescu
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Poster
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Thu 1:00
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Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shikuang Deng · Shi Gu
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Poster
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Wed 1:00
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Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Veniat · Ludovic Denoyer · Marc'Aurelio Ranzato
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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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Tue 1:00
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Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach · Shai Shalev-Shwartz
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Poster
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Wed 1:00
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Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru · Xingchen Wan · Xiaowen Dong · Michael Osborne
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Poster
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Wed 1:00
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Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng · Honghao Lin
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Poster
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Mon 1:00
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Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
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Spotlight
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Wed 5:35
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Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen · Dinghuai Zhang · Michael U Gutmann · Aaron Courville · Zhanxing Zhu
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Poster
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Tue 1:00
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Bayesian Context Aggregation for Neural Processes
Michael Volpp · Fabian Flürenbrock · Lukas Grossberger · Christian Daniel · Gerhard Neumann
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