Raia Hadsell
Raia Hadsell
Google DeepMind
Verified email at google.com - Homepage
Cited by
Cited by
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
Dimensionality reduction by learning an invariant mapping
R Hadsell, S Chopra, Y LeCun
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
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
Progressive neural networks
AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ...
arXiv preprint arXiv:1606.04671, 2016
A tutorial on energy-based learning
Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang
Predicting structured data 1 (0), 2006
Meta-learning with latent embedding optimization
AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ...
arXiv preprint arXiv:1807.05960, 2018
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
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
Sim-to-real robot learning from pixels with progressive nets
AA Rusu, M Večerík, T Rothörl, N Heess, R Pascanu, R Hadsell
Conference on Robot Learning, 262-270, 2017
Policy distillation
AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
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
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
Distral: Robust multitask reinforcement learning
YW Teh, V Bapst, WM Czarnecki, J Quan, J Kirkpatrick, R Hadsell, ...
arXiv preprint arXiv:1707.04175, 2017
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
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
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
Reinforcement and imitation learning for diverse visuomotor skills
Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ...
arXiv preprint arXiv:1802.09564, 2018
Learning to navigate in cities without a map
P Mirowski, M Grimes, M Malinowski, KM Hermann, K Anderson, ...
Advances in Neural Information Processing Systems 31, 2419-2430, 2018
Improved global routing through congestion estimation
RT Hadsell, PH Madden
Proceedings 2003. Design Automation Conference (IEEE Cat. No. 03CH37451), 28-31, 2003
Deep belief net learning in a long-range vision system for autonomous off-road driving
R Hadsell, A Erkan, P Sermanet, M Scoffier, U Muller, Y LeCun
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
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