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Understanding plasticity in neural networks


Mar 02, 2023
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney

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Generalization Through the Lens of Learning Dynamics


Dec 11, 2022
Clare Lyle

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* PhD Thesis 

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Understanding Self-Predictive Learning for Reinforcement Learning


Dec 06, 2022
Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko

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Learning Dynamics and Generalization in Reinforcement Learning


Jun 05, 2022
Clare Lyle, Mark Rowland, Will Dabney, Marta Kwiatkowska, Yarin Gal

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Understanding and Preventing Capacity Loss in Reinforcement Learning


Apr 20, 2022
Clare Lyle, Mark Rowland, Will Dabney

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* Presented at ICLR 2022 

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DARTS without a Validation Set: Optimizing the Marginal Likelihood


Dec 24, 2021
Miroslav Fil, Binxin Ru, Clare Lyle, Yarin Gal

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* Presented at the 5th Workshop on Meta-Learning at NeurIPS 2021 

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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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Provable Guarantees on the Robustness of Decision Rules to Causal Interventions


May 19, 2021
Benjie Wang, Clare Lyle, Marta Kwiatkowska

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* 21 pages (8+13 Appendix). To be published in IJCAI 2021 

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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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On The Effect of Auxiliary Tasks on Representation Dynamics


Feb 25, 2021
Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney

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* AISTATS 2021 

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