Selected Publications  (or see google scholar)

• Learning to Navigate in Cities Without a Map  Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
  arxiv:1804.00168, 2018
• Reinforcement and Imitation Learning for Diverse Visuomotor Skills  Yuke Zhu, Ziyu Wang, Josh Merel, Andrei Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
  Robots: Science and Systems (RSS), 2018
• Distral: Robust multitask reinforcement learning  Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu 
  Neural Information Processing Systems (NIPS), 2017
• Learning to navigate in complex environments   Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell.
  International Conference on Learning Representations (ICLR), 2017
• Overcoming catastrophic forgetting in neural networks  James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell. 
  Proceedings of the National Academy of Sciences 114 (13), 3521-3526, 2016
• Sim-to-real robot learning from pixels with progressive nets  Andrei A Rusu, Matej Vecerik, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell.
  arXiv:1610.04286, 2016
• Progressive neural networks  Andrei A Rusu, Neil C Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell.
  arXiv:1606.04671, 2016
• Policy distillation  Andrei A Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell.
  International Conference on Learning Representations (ICLR), 2016
• Complex Terrain Mapping with Multi-Camera Visual Odometry and Realtime Drift Correction  Raia Hadsell, Bogdan Matei, Garbis Salgian, Aveek Das, Taragay Oskiper, Supun Samarasekera.
  3D Imaging and Modeling (3DIM), 2012
• Long-range pedestrian detection using stereo and a cascade of convolutional network classifiers  Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera.
  Intelligent Robots and Systems (IROS), 2012
• Unsupervised topic modeling for leader detection in spoken discourse  Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda.
  International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
• Space-carving kernels for accurate rough terrain estimation  Raia Hadsell, J Andrew Bagnell, Daniel Huber, Martial Hebert.
  International Journal of Robotics Research, 2010
• Learning long‐range vision for autonomous off‐road driving  Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun.
  Journal of Field Robotics, 2009
• Deep belief net learning in a long-range vision system for autonomous off-road driving  Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun.
  Intelligent Robots and Systems (IROS), 2008
• Online learning for offroad robots: Using spatial label propagation to learn long-range traversability  Raia Hadsell, Pierre Sermanet, Jan Ben, A Erkan, Jeff Han, Beat Flepp, Urs Muller, Yann LeCun.
  Robotics: Science and Systems (RSS), 2007
• A tutorial on energy-based learning  Yann LeCun, Sumit Chopra, Raia Hadsell, M Ranzato, F Huang.
  In Predicting Structured Data, 2006
• Dimensionality reduction by learning an invariant mapping  Raia Hadsell, Sumit Chopra, Yann LeCun.
  Computer Vision and Pattern Recognition (CVPR), 2006
• Learning a similarity metric discriminatively, with application to face verification  Sumit Chopra, Raia Hadsell, Yann LeCun.
  Computer Vision and Pattern Recognition (CVPR), 2005