Olivier J. Hénaff

40 papers A* 13Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Data Curation Effectively Distills Large-Scale Multimodal Models. CVPR Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff
2025	A*	`conf`	Context-Aware Multimodal Pretraining. CVPR Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff
2025	J	`jnl`	SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. CoRR Michael Tschannen, Alexey A. Gritsenko, Xiao Wang, Muhammad Ferjad Naeem, Ibrahim Alabdulmohsin, Nikhil Parthasarathy, Talfan Evans, Lucas Beyer, Ye Xia, Basil Mustafa, Olivier J. Hénaff, Jeremiah Harmsen, Andreas Steiner, Xiaohua Zhai
2024	J	`jnl`	A Practitioner's Guide to Continual Multimodal Pretraining. CoRR Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
2024	A*	`conf`	A Practitioner's Guide to Real-World Continual Multimodal Pretraining. NeurIPS Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
2024	J	`jnl`	Active Data Curation Effectively Distills Large-Scale Multimodal Models. CoRR Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff
2024	—	`conf`	Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. ECCV (17) Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Schwarz, Ryutaro Tanno, Olivier J. Hénaff
2024	J	`jnl`	Context-Aware Multimodal Pretraining. CoRR Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff
2024	A*	`conf`	Data curation via joint example selection further accelerates multimodal learning. NeurIPS Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff
2024	J	`jnl`	Data curation via joint example selection further accelerates multimodal learning. CoRR Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff
2024	A*	`conf`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2024	J	`jnl`	Layerwise complexity-matched learning yields an improved model of cortical area V2. Trans. Mach. Learn. Res. Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
2024	A*	`conf`	Memory Consolidation Enables Long-Context Video Understanding. ICML Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff
2024	J	`jnl`	Memory Consolidation Enables Long-Context Video Understanding. CoRR Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff
2024	J	`jnl`	PaliGemma: A versatile 3B VLM for transfer. CoRR Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai
2024	—	`conf`	Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models. CoLLAs Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	J	`jnl`	Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2023	J	`jnl`	Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. CoRR Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Schwarz, Ryutaro Tanno, Olivier J. Hénaff
2023	J	`jnl`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. CoRR Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2023	J	`jnl`	Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
2023	A*	`conf`	Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
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	A*	`conf`	Towards In-context Scene Understanding. NeurIPS Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
2023	J	`jnl`	Towards In-context Scene Understanding. CoRR Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
2022	J	`jnl`	Hierarchical Perceiver. CoRR João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
2022	—	`conf`	Object Discovery and Representation Networks. ECCV (27) Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022	J	`jnl`	Object discovery and representation networks. CoRR Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
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	J	`jnl`	Self-supervised video pretraining yields strong image representations. CoRR Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
2022	J	`jnl`	Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
2021	A*	`conf`	Divide and Contrast: Self-supervised Learning from Uncurated Data. ICCV Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
2021	J	`jnl`	Divide and Contrast: Self-supervised Learning from Uncurated Data. CoRR Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
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`	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
2020	J	`jnl`	Are we done with ImageNet? CoRR Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord
2020	A*	`conf`	Data-Efficient Image Recognition with Contrastive Predictive Coding. ICML Olivier J. Hénaff
2019	J	`jnl`	Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
2016	A*	`conf`	Geodesics of learned representations. ICLR (Poster) Olivier J. Hénaff, Eero P. Simoncelli
2015	—	`conf`	The local low-dimensionality of natural images. ICLR Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli