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Scaling the Number of Tasks in Continual Learning


Jul 10, 2022
Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish


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Foundational Models for Continual Learning: An Empirical Study of Latent Replay


Apr 30, 2022
Oleksiy Ostapenko, Timothee Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin


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APP: Anytime Progressive Pruning


Apr 04, 2022
Diganta Misra, Bharat Runwal, Tianlong Chen, Zhangyang Wang, Irina Rish

* 21 pages including 4 pages of references. Preprint version 

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WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks


Mar 18, 2022
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi-Bayazi, Guillaume Dumas, Irina Rish

* 43 pages, 20 figures 

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Towards Scaling Difference Target Propagation by Learning Backprop Targets


Jan 31, 2022
Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake Richards, Yoshua Bengio


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Gradient Masked Averaging for Federated Learning


Jan 28, 2022
Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish


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Continual Learning In Environments With Polynomial Mixing Times


Dec 13, 2021
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish

* 2 Figures, 20 pages 

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Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers


Oct 18, 2021
Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish, Sarath Chandar


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Compositional Attention: Disentangling Search and Retrieval


Oct 18, 2021
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie


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Approximate Bayesian Optimisation for Neural Networks


Aug 31, 2021
Nadhir Hassen, Irina Rish

* 9 pages with 4 pages supplementary materials 

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