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Poster
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Wed 21:00
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Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu · Xiaoming Liu
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Poster
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Thu 9:00
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A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Ziqi Ke · Haris Vikalo
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Poster
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Thu 9:00
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Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner
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Poster
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Tue 9:00
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Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
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Poster
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Thu 9:00
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Meta-Learning through Hebbian Plasticity in Random Networks
Elias Najarro · Sebastian Risi
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Workshop
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Fri 4:00
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Invited speaker: The Convexity of Learning Infinite-width Deep Neural Networks, Tong Zhang
Tong Zhang
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Poster
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Tue 21:00
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Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong · Zhijie Deng · Tianyu Pang · Jun Zhu · Hang Su
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Poster
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Thu 9:00
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Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin · Peter E Latham
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Workshop
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Poster: Deep Q-Learning with Low Switching Cost
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Spotlight
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Thu 8:20
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A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
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Poster
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Thu 9:00
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A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
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Poster
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Wed 9:00
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An analytic theory of shallow networks dynamics for hinge loss classification
Franco Pellegrini · Giulio Biroli
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