Henaff, Olivier J.

14 publications

CVPR 2025 Active Data Curation Effectively Distills Large-Scale Multimodal Models Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Henaff

CVPR 2025 Context-Aware Multimodal Pretraining Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Henaff

NeurIPSW 2024 A Practitioner's Guide to Continual Multimodal Pretraining Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J Henaff, Samuel Albanie, Matthias Bethge, Zeynep Akata

NeurIPS 2024 Data Curation via Joint Example Selection Further Accelerates Multimodal Learning Talfan Evans, Nikhil Parthasarathy, Hamza Merzić, Olivier J. Hénaff

ICLR 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer Between Any Pretrained Model Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J Henaff, Zeynep Akata

TMLR 2024 Layerwise Complexity-Matched Learning Yields an Improved Model of Cortical Area V2 Nikhil Parthasarathy, Olivier J Henaff, Eero P Simoncelli

ICML 2024 Memory Consolidation Enables Long-Context Video Understanding Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J Henaff

CoLLAs 2024 Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models Lukas Thede, Karsten Roth, Olivier J Henaff, Matthias Bethge, Zeynep Akata

ECCV 2022 Object Discovery and Representation Networks Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović

ICLR 2022 Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, Joao Carreira

ICCV 2021 Divide and Contrast: Self-Supervised Learning from Uncurated Data Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord

ICCV 2021 Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aaron van den Oord, Oriol Vinyals, João Carreira

ICLR 2016 Geodesics of Learned Representations Olivier J. Hénaff, Eero P. Simoncelli

ICLR 2015 The Local Low-Dimensionality of Natural Images Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli