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Causal Scene BERT: Improving object detection by searching for challenging groups of data



Cinjon Resnick , Or Litany , Amlan Kar , Karsten Kreis , James Lucas , Kyunghyun Cho , Sanja Fidler


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Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes



James Lucas , Juhan Bae , Michael R. Zhang , Stanislav Fort , Richard Zemel , Roger Grosse

* 15 pages in main paper, 4 pages of references, 24 pages in appendix. 29 figures in total 

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Flexible Few-Shot Learning with Contextual Similarity



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



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



Xuchan Bao , James Lucas , Sushant Sachdeva , Roger Grosse


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Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks



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



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



Michael R. Zhang , James Lucas , Geoffrey Hinton , Jimmy Ba

* 8 pages 

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Sorting out Lipschitz function approximation



Cem Anil , James Lucas , Roger Grosse


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