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Exploring Low Rank Training of Deep Neural Networks


Sep 27, 2022
Siddhartha Rao Kamalakara, Acyr Locatelli, Bharat Venkitesh, Jimmy Ba, Yarin Gal, Aidan N. Gomez

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Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt


Jun 16, 2022
Sören Mindermann, Jan Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal

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* ICML 2022 (Follow up to arXiv:2107.02565) 

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Prioritized training on points that are learnable, worth learning, and not yet learned


Jul 06, 2021
Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Brauner, Yarin Gal

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* ICML 2021 Workshop on Subset Selection in Machine Learning 

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Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning


Jun 04, 2021
Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Tom Rainforth, Yarin Gal

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* First two authors contributed equally 

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Robustness to Pruning Predicts Generalization in Deep Neural Networks


Mar 10, 2021
Lorenz Kuhn, Clare Lyle, Aidan N. Gomez, Jonas Rothfuss, Yarin Gal

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Interlocking Backpropagation: Improving depthwise model-parallelism


Oct 08, 2020
Aidan N. Gomez, Oscar Key, Stephen Gou, Nick Frosst, Jeff Dean, Yarin Gal

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SliceOut: Training Transformers and CNNs faster while using less memory


Jul 21, 2020
Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal

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Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers


Jun 08, 2020
Tim Z. Xiao, Aidan N. Gomez, Yarin Gal

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* 19 pages, 9 figures 

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A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks


Dec 22, 2019
Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal

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Learning Sparse Networks Using Targeted Dropout


Jun 05, 2019
Aidan N. Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton

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