Jean-Baptiste Alayrac

64 papers A* 21Misc 1Journal 38Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2024	J	`jnl`	Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.
2024	J	`jnl`	Multi-Task Learning of Object States and State-Modifying Actions From Web Videos. IEEE Trans. Pattern Anal. Mach. Intell. Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic
2023	J	`jnl`	Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime. CoRR Chuhan Zhang, Antoine Miech, Jiajun Shen, Jean-Baptiste Alayrac, Pauline Luc
2023	J	`jnl`	Three ways to improve feature alignment for open vocabulary detection. CoRR Relja Arandjelovic, Alex Andonian, Arthur Mensch, Olivier J. Hénaff, Jean-Baptiste Alayrac, Andrew Zisserman
2023	J	`jnl`	Zorro: the masked multimodal transformer. CoRR Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman
2022	A*	`conf`	Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan
2022	J	`jnl`	Flamingo: a Visual Language Model for Few-Shot Learning. CoRR Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan
2022	A*	`conf`	General-purpose, long-context autoregressive modeling with Perceiver AR. ICML Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	A*	`conf`	Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. CVPR Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic
2022	J	`jnl`	Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. CoRR Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic
2022	J	`jnl`	Multi-Task Learning of Object State Changes from Uncurated Videos. CoRR Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic
2022	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022	Misc	`conf`	Towards Learning Universal Audio Representations. ICASSP Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
2021	A*	`conf`	Broaden Your Views for Self-Supervised Video Learning. ICCV Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
2021	J	`jnl`	Broaden Your Views for Self-Supervised Video Learning. CoRR Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
2021	J	`jnl`	Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. CoRR Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh
2021	J	`jnl`	Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. Trans. Assoc. Comput. Linguistics Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh
2021	A*	`conf`	Efficient Visual Pretraining with Contrastive Detection. ICCV Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Efficient Visual Pretraining with Contrastive Detection. CoRR Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Generative Art Using Neural Visual Grammars and Dual Encoders. CoRR Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero
2021	—	`conf`	Machine Translation Decoding beyond Beam Search. EMNLP (1) Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	J	`jnl`	Machine Translation Decoding beyond Beam Search. CoRR Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	J	`jnl`	Multimodal Self-Supervised Learning of General Audio Representations. CoRR Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	A*	`conf`	Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers. CVPR Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman
2021	J	`jnl`	Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers. CoRR Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman
2021	J	`jnl`	Towards Learning Universal Audio Representations. CoRR Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
2020	A*	`conf`	End-to-End Learning of Visual Representations From Uncurated Instructional Videos. CVPR Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman
2020	—	`conf`	Learning Actionness via Long-Range Temporal Order Verification. ECCV (29) Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic
2020	A*	`conf`	Learning to Segment Actions from Observation and Narration. ACL Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
2020	J	`jnl`	Learning to Segment Actions from Observation and Narration. CoRR Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
2020	J	`jnl`	RareAct: A video dataset of unusual interactions. CoRR Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman
2020	A*	`conf`	Self-Supervised MultiModal Versatile Networks. NeurIPS Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
2020	J	`jnl`	Self-Supervised MultiModal Versatile Networks. CoRR Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
2020	A*	`conf`	Visual Grounding in Video for Unsupervised Word Translation. CVPR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2020	J	`jnl`	Visual Grounding in Video for Unsupervised Word Translation. CoRR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2019	A*	`conf`	Are Labels Required for Improving Adversarial Robustness? NeurIPS Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Are Labels Required for Improving Adversarial Robustness? CoRR Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli
2019	A*	`conf`	Controllable Attention for Structured Layered Video Decomposition. ICCV Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman
2019	J	`jnl`	Controllable Attention for Structured Layered Video Decomposition. CoRR Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman
2019	A*	`conf`	Cross-Task Weakly Supervised Learning From Instructional Videos. CVPR Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic
2019	J	`jnl`	Cross-task weakly supervised learning from instructional videos. CoRR Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic
2019	J	`jnl`	End-to-End Learning of Visual Representations from Uncurated Instructional Videos. CoRR Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman
2019	A*	`conf`	HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. ICCV Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic
2019	J	`jnl`	HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. CoRR Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic
2019	A*	`conf`	The Visual Centrifuge: Model-Free Layered Video Representations. CVPR Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman
2018	A*	`conf`	A flexible model for training action localization with varying levels of supervision. NeurIPS Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid
2018	J	`jnl`	A flexible model for training action localization with varying levels of supervision. CoRR Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid
2018	J	`jnl`	Learning from Narrated Instruction Videos. IEEE Trans. Pattern Anal. Mach. Intell. Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2018	J	`jnl`	Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. CoRR Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg
2018	—	`conf`	SEARNN: Training RNNs with global-local losses. ICLR (Poster) Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
2018	—	`—`	Structured Learning from Videos and Language. (Apprentissage structuré à partir de vidéos et langage). Jean-Baptiste Alayrac
2018	J	`jnl`	The Visual Centrifuge: Model-Free Layered Video Representations. CoRR Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman
2017	J	`jnl`	Joint Discovery of Object States and Manipulating Actions. CoRR Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2017	A*	`conf`	Joint Discovery of Object States and Manipulation Actions. ICCV Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2017	A*	`conf`	Learning from Video and Text via Large-Scale Discriminative Clustering. ICCV Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic
2017	J	`jnl`	Learning from Video and Text via Large-Scale Discriminative Clustering. CoRR Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic
2017	J	`jnl`	SEARNN: Training RNNs with Global-Local Losses. CoRR Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
2016	A*	`conf`	Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. ICML Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien
2016	J	`jnl`	Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. CoRR Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien
2016	A*	`conf`	Unsupervised Learning from Narrated Instruction Videos. CVPR Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien
2015	J	`jnl`	Learning from narrated instruction videos. CoRR Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien