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Panel Discussion1
Razvan Pascanu · Irina Rish
Author Information
Razvan Pascanu (DeepMind)
Irina Rish (MILA / Université de Montréal h)
More from the Same Authors
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2022 : Towards Out-of-Distribution Adversarial Robustness »
Adam Ibrahim · Charles Guille-Escuret · Ioannis Mitliagkas · Irina Rish · David Krueger · Pouya Bashivan -
2022 : Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? »
Nenad Tomasev · Ioana Bica · Brian McWilliams · Lars Buesing · Razvan Pascanu · Charles Blundell · Jovana Mitrovic -
2023 Poster: Resurrecting Recurrent Neural Networks for Long Sequences »
Antonio Orvieto · Samuel Smith · Albert Gu · Anushan Fernando · Caglar Gulchere · Razvan Pascanu · Soham De -
2023 Poster: Understanding Plasticity in Neural Networks »
Clare Lyle · Zeyu Zheng · Evgenii Nikishin · Bernardo Avila Pires · Razvan Pascanu · Will Dabney -
2023 Oral: Resurrecting Recurrent Neural Networks for Long Sequences »
Antonio Orvieto · Samuel Smith · Albert Gu · Anushan Fernando · Caglar Gulchere · Razvan Pascanu · Soham De -
2023 Oral: Understanding Plasticity in Neural Networks »
Clare Lyle · Zeyu Zheng · Evgenii Nikishin · Bernardo Avila Pires · Razvan Pascanu · Will Dabney -
2022 Poster: Wide Neural Networks Forget Less Catastrophically »
Seyed Iman Mirzadeh · Arslan Chaudhry · Dong Yin · Huiyi Hu · Razvan Pascanu · Dilan Gorur · Mehrdad Farajtabar -
2022 Spotlight: Wide Neural Networks Forget Less Catastrophically »
Seyed Iman Mirzadeh · Arslan Chaudhry · Dong Yin · Huiyi Hu · Razvan Pascanu · Dilan Gorur · Mehrdad Farajtabar -
2022 Poster: The CLRS Algorithmic Reasoning Benchmark »
Petar Veličković · Adrià Puigdomenech Badia · David Budden · Razvan Pascanu · Andrea Banino · Misha Dashevskiy · Raia Hadsell · Charles Blundell -
2022 Spotlight: The CLRS Algorithmic Reasoning Benchmark »
Petar Veličković · Adrià Puigdomenech Badia · David Budden · Razvan Pascanu · Andrea Banino · Misha Dashevskiy · Raia Hadsell · Charles Blundell -
2022 Poster: Towards Scaling Difference Target Propagation by Learning Backprop Targets »
Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio -
2022 Spotlight: Towards Scaling Difference Target Propagation by Learning Backprop Targets »
Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio -
2021 : Invited Talk #4 »
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2021 Poster: Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective »
Florin Gogianu · Tudor Berariu · Mihaela Rosca · Claudia Clopath · Lucian Busoniu · Razvan Pascanu -
2021 Spotlight: Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective »
Florin Gogianu · Tudor Berariu · Mihaela Rosca · Claudia Clopath · Lucian Busoniu · Razvan Pascanu -
2020 : Panel Discussion »
Eric Eaton · Martha White · Doina Precup · Irina Rish · Harm van Seijen -
2020 : Q&A with Irina Rish »
Irina Rish · Shagun Sodhani · Sarath Chandar -
2020 : Invited Talk: Lifelong Learning: Towards Broad and Robust AI by Irina Rish »
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2020 : Invited Talk: Razvan Pascanu "Continual Learning from an Optimization/Learning-dynamics perspective" »
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2020 Workshop: Workshop on Continual Learning »
Haytham Fayek · Arslan Chaudhry · David Lopez-Paz · Eugene Belilovsky · Jonathan Richard Schwarz · Marc Pickett · Rahaf Aljundi · Sayna Ebrahimi · Razvan Pascanu · Puneet Dokania -
2020 Poster: Stabilizing Transformers for Reinforcement Learning »
Emilio Parisotto · Francis Song · Jack Rae · Razvan Pascanu · Caglar Gulcehre · Siddhant Jayakumar · Max Jaderberg · Raphael Lopez Kaufman · Aidan Clark · Seb Noury · Matthew Botvinick · Nicolas Heess · Raia Hadsell -
2020 Poster: Improving the Gating Mechanism of Recurrent Neural Networks »
Albert Gu · Caglar Gulcehre · Thomas Paine · Matthew Hoffman · Razvan Pascanu -
2018 Poster: Progress & Compress: A scalable framework for continual learning »
Jonathan Richard Schwarz · Wojciech Czarnecki · Jelena Luketina · Agnieszka Grabska-Barwinska · Yee Teh · Razvan Pascanu · Raia Hadsell -
2018 Poster: Mix & Match - Agent Curricula for Reinforcement Learning »
Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu -
2018 Oral: Progress & Compress: A scalable framework for continual learning »
Jonathan Richard Schwarz · Wojciech Czarnecki · Jelena Luketina · Agnieszka Grabska-Barwinska · Yee Teh · Razvan Pascanu · Raia Hadsell -
2018 Oral: Mix & Match - Agent Curricula for Reinforcement Learning »
Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu -
2018 Poster: Been There, Done That: Meta-Learning with Episodic Recall »
Samuel Ritter · Jane Wang · Zeb Kurth-Nelson · Siddhant Jayakumar · Charles Blundell · Razvan Pascanu · Matthew Botvinick -
2018 Oral: Been There, Done That: Meta-Learning with Episodic Recall »
Samuel Ritter · Jane Wang · Zeb Kurth-Nelson · Siddhant Jayakumar · Charles Blundell · Razvan Pascanu · Matthew Botvinick -
2017 Poster: Sharp Minima Can Generalize For Deep Nets »
Laurent Dinh · Razvan Pascanu · Samy Bengio · Yoshua Bengio -
2017 Talk: Sharp Minima Can Generalize For Deep Nets »
Laurent Dinh · Razvan Pascanu · Samy Bengio · Yoshua Bengio