Olivier J. Hénaff

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Active Learning

Predictive Coding

Low Dimensionality

Image Recognition

Top Venues

Publications

Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR (2024)
Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff
Memory Consolidation Enables Long-Context Video Understanding. CoRR (2024)
Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR (2024)
Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff
Data curation via joint example selection further accelerates multimodal learning. CoRR (2024)
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
PaliGemma: A versatile 3B VLM for transfer. CoRR (2024)
Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
Layerwise complexity-matched learning yields an improved model of cortical area V2. Trans. Mach. Learn. Res. 2024 (2024)
Relja Arandjelovic, Alex Andonian, Arthur Mensch, Olivier J. Hénaff, Jean-Baptiste Alayrac, Andrew Zisserman
Three ways to improve feature alignment for open vocabulary detection. CoRR (2023)
Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. CoRR (2023)
Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR (2023)
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS (2023)
Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
Towards In-context Scene Understanding. NeurIPS (2023)
Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Schwarz, Ryutaro Tanno, Olivier J. Hénaff
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. CoRR (2023)
Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
Towards In-context Scene Understanding. CoRR (2023)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR (2022)
João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
Hierarchical Perceiver. CoRR (2022)
Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object discovery and representation networks. CoRR (2022)
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
Self-supervised video pretraining yields strong image representations. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object Discovery and Representation Networks. ECCV (27) (2022)
Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
Divide and Contrast: Self-supervised Learning from Uncurated Data. CoRR (2021)
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
Efficient Visual Pretraining with Contrastive Detection. CoRR (2021)
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
Efficient Visual Pretraining with Contrastive Detection. ICCV (2021)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR (2021)
Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
Divide and Contrast: Self-supervised Learning from Uncurated Data. ICCV (2021)
Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord
Are we done with ImageNet? CoRR (2020)
Olivier J. Hénaff
Data-Efficient Image Recognition with Contrastive Predictive Coding. ICML (2020)
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR (2019)
Olivier J. Hénaff, Eero P. Simoncelli
Geodesics of learned representations. ICLR (Poster) (2016)
Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli
The local low-dimensionality of natural images. ICLR (2015)