Raia Hadsell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
10
Active years
2003–2024
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | IROS | The Design of the Barkour Benchmark for Robot Agility. | Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jos Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee |
| 2024 | ICRA | RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. | Mel Vecerk, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz |
| 2022 | ICLR | Learning transferable motor skills with hierarchical latent mixture policies. | Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell |
| 2022 | ICML | Hindering Adversarial Attacks with Implicit Neural Representations. | Andrei A. Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell |
| 2022 | ICML | The CLRS Algorithmic Reasoning Benchmark. | Petar Velickovic, Adri Puigdomnech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell |
| 2022 | ICRA | Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. | Mel Vecerk, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz |
| 2021 | CoRL | Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation. | Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora |
| 2021 | CoRL | A Constrained Multi-Objective Reinforcement Learning Framework. | Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell |
| 2021 | CoRL | Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. | Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jos Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori |
| 2020 | AAAI | Learning to Follow Directions in Street View. | Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell |
| 2020 | CoRL | Attention-Privileged Reinforcement Learning. | Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner |
| 2020 | CoRL | S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. | Mel Vecerk, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothrl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz |
| 2020 | CoRL | Learning rich touch representations through cross-modal self-supervision. | Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell |
| 2020 | ICLR | Meta-Learning with Warped Gradient Descent. | Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell |
| 2020 | ICLR | Neural Execution of Graph Algorithms. | Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell |
| 2020 | ICML | A distributional view on multi-objective policy optimization. | Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller |
| 2020 | ICML | CoMic: Complementary Task Learning & Mimicry for Reusable Skills. | Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel |
| 2020 | ICML | Stabilizing Transformers for Reinforcement Learning. | Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, aglar Glehre, Siddhant M. Jayakumar, Max Jaderberg, Raphal Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell |
| 2019 | CVPR | Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. | Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis |
| 2019 | GECCO | Challenges for learning in complex environments. | Raia Hadsell |
| 2019 | ICLR | Meta-Learning with Latent Embedding Optimization. | Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell |
| 2018 | CoRL | Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. | Jake Bruce, Niko Snderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford |
| 2018 | ICML | Graph Networks as Learnable Physics Engines for Inference and Control. | Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia |
| 2018 | ICML | Progress & Compress: A scalable framework for continual learning. | Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell |
| 2017 | CoRL | Sim-to-Real Robot Learning from Pixels with Progressive Nets. | Andrei A. Rusu, Matej Vecerk, Thomas Rothrl, Nicolas Heess, Razvan Pascanu, Raia Hadsell |
| 2017 | ICLR | 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 |
| 2012 | ICASSP | Unsupervised topic modeling for leader detection in spoken discourse. | Raia Hadsell, Zsolt Kira, Wen Wang, Kristin Precoda |
| 2012 | ICASSP | Detecting leadership and cohesion in spoken interactions. | Wen Wang, Kristin Precoda, Raia Hadsell, Zsolt Kira, Colleen Richey, Gabriel Jiva |
| 2012 | IROS | Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers. | Zsolt Kira, Raia Hadsell, Garbis Salgian, Supun Samarasekera |
| 2011 | CVPR | High-precision localization using visual landmarks fused with range data. | Zhiwei Zhu, Han-Pang Chiu, Taragay Oskiper, Saad Ali, Raia Hadsell, Supun Samarasekera, Rakesh Kumar |
| 2008 | IROS | 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 |
| 2008 | IROS | Mapping and planning under uncertainty in mobile robots with long-range perception. | Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs Muller, Yann LeCun |
| 2007 | IROS | Adaptive long range vision in unstructured terrain. | Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben, Urs Muller, Yann LeCun |
| 2006 | CVPR | Dimensionality Reduction by Learning an Invariant Mapping. | Raia Hadsell, Sumit Chopra, Yann LeCun |
| 2005 | CVPR | Learning a Similarity Metric Discriminatively, with Application to Face Verification. | Sumit Chopra, Raia Hadsell, Yann LeCun |
| 2003 | DAC | Improved global routing through congestion estimation. | Raia Hadsell, Patrick H. Madden |