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Raia Hadsell
Raia Hadsell
Google DeepMind
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Title
Cited by
Cited by
Year
Overcoming catastrophic forgetting in neural networks
J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ...
Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017
79282017
Dimensionality reduction by learning an invariant mapping
R Hadsell, S Chopra, Y LeCun
2006 IEEE computer society conference on computer vision and pattern …, 2006
64612006
Learning a similarity metric discriminatively, with application to face verification
S Chopra, R Hadsell, Y LeCun
2005 IEEE computer society conference on computer vision and pattern …, 2005
55202005
Progressive neural networks
AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
30762016
A tutorial on energy-based learning
Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang
Predicting structured data 1 (0), 2006
17472006
Meta-learning with latent embedding optimization
AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ...
arXiv preprint arXiv:1807.05960, 2018
16562018
Learning to navigate in complex environments
P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ...
arXiv preprint arXiv:1611.03673, 2016
10062016
Progress & compress: A scalable framework for continual learning
J Schwarz, W Czarnecki, J Luketina, A Grabska-Barwinska, YW Teh, ...
International conference on machine learning, 4528-4537, 2018
9462018
A generalist agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
8882022
Policy distillation
AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
8232015
Skilful precipitation nowcasting using deep generative models of radar
S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ...
Nature 597 (7878), 672-677, 2021
7952021
Vector-based navigation using grid-like representations in artificial agents
A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ...
Nature 557 (7705), 429-433, 2018
7532018
Graph networks as learnable physics engines for inference and control
A Sanchez-Gonzalez, N Heess, JT Springenberg, J Merel, M Riedmiller, ...
International conference on machine learning, 4470-4479, 2018
7292018
The limits and potentials of deep learning for robotics
N Sünderhauf, O Brock, W Scheirer, R Hadsell, D Fox, J Leitner, B Upcroft, ...
The International journal of robotics research 37 (4-5), 405-420, 2018
6492018
Sim-to-real robot learning from pixels with progressive nets
AA Rusu, M Veèerík, T Rothörl, N Heess, R Pascanu, R Hadsell
Conference on robot learning, 262-270, 2017
6452017
Distral: Robust multitask reinforcement learning
Y Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, N Heess, ...
Advances in neural information processing systems 30, 2017
6232017
Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5382019
Embracing change: Continual learning in deep neural networks
R Hadsell, D Rao, AA Rusu, R Pascanu
Trends in cognitive sciences 24 (12), 1028-1040, 2020
5322020
Learning long‐range vision for autonomous off‐road driving
R Hadsell, P Sermanet, J Ben, A Erkan, M Scoffier, K Kavukcuoglu, ...
Journal of Field Robotics 26 (2), 120-144, 2009
4862009
Stabilizing transformers for reinforcement learning
E Parisotto, F Song, J Rae, R Pascanu, C Gulcehre, S Jayakumar, ...
International conference on machine learning, 7487-7498, 2020
4072020
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