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Powerpropagation: A sparsity inducing weight reparameterisation


Oct 01, 2021
Jonathan Schwarz, Siddhant M. Jayakumar, Razvan Pascanu, Peter E. Latham, Yee Whye Teh

* Accepted at NeurIPS 2021 

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On the Role of Optimization in Double Descent: A Least Squares Study


Jul 27, 2021
Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu


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Reasoning-Modulated Representations


Jul 19, 2021
Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

* ICML 2021 Workshop on Self-Supervised Learning for Reasoning and Perception (Spotlight Talk). 7 pages, 3 figures 

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Task-agnostic Continual Learning with Hybrid Probabilistic Models


Jun 24, 2021
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu


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Predicting Unreliable Predictions by Shattering a Neural Network


Jun 15, 2021
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio


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Top-KAST: Top-K Always Sparse Training


Jun 07, 2021
Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen

* Advances in Neural Information Processing Systems, 33, 20744-20754 

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A study on the plasticity of neural networks


May 31, 2021
Tudor Berariu, Wojciech Czarnecki, Soham De, Jorg Bornschein, Samuel Smith, Razvan Pascanu, Claudia Clopath


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Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error


May 27, 2021
Stanislav Fort, Andrew Brock, Razvan Pascanu, Soham De, Samuel L. Smith


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Continual World: A Robotic Benchmark For Continual Reinforcement Learning


May 23, 2021
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś


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Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective


May 11, 2021
Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu

* Accepted at ICML2021 

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