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Flexible Few-Shot Learning with Contextual Similarity

Dec 10, 2020
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel

* Technical report, 29 pages 

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Theoretical bounds on estimation error for meta-learning

Oct 14, 2020
James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard Zemel

* 12 pages in main paper,22 pages in appendix,4 figures total 

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Regularized linear autoencoders recover the principal components, eventually

Jul 13, 2020
Xuchan Bao, James Lucas, Sushant Sachdeva, Roger Grosse


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Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks

Nov 09, 2019
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger Grosse, Jörn-Henrik Jacobsen

* 9 main pages, 31 pages total, 3 figures. Accepted at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse

Nov 06, 2019
James Lucas, George Tucker, Roger Grosse, Mohammad Norouzi

* 11 main pages, 10 appendix pages. 13 figures total. Accepted at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Lookahead Optimizer: k steps forward, 1 step back

Jul 19, 2019
Michael R. Zhang, James Lucas, Geoffrey Hinton, Jimmy Ba

* 8 pages 

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Sorting out Lipschitz function approximation

Nov 13, 2018
Cem Anil, James Lucas, Roger Grosse


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Aggregated Momentum: Stability Through Passive Damping

Jul 23, 2018
James Lucas, Shengyang Sun, Richard Zemel, Roger Grosse

* 10 primary pages, 11 supplementary pages, 10 figures total 

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Adversarial Distillation of Bayesian Neural Network Posteriors

Jun 27, 2018
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel

* accepted at ICML 2018 

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