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ORCIDOlivier J. Hénaff
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2020 – today
- 2024
[j1]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)- [c11]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 - [c10]Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff:
Memory Consolidation Enables Long-Context Video Understanding. ICML 2024 - [i18]Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff:
Memory Consolidation Enables Long-Context Video Understanding. CoRR abs/2402.05861 (2024) - [i17]Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata:
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR abs/2406.09384 (2024) - [i16]Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff:
Data curation via joint example selection further accelerates multimodal learning. CoRR abs/2406.17711 (2024) - [i15]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 abs/2407.07726 (2024) - 2023
- [c9]Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff:
Towards In-context Scene Understanding. NeurIPS 2023 - [c8]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 - [i14]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 abs/2303.13518 (2023) - [i13]Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff:
Towards In-context Scene Understanding. CoRR abs/2306.01667 (2023) - [i12]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 abs/2310.17653 (2023) - [i11]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 abs/2312.05328 (2023) - [i10]Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli:
Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR abs/2312.11436 (2023) - 2022
- [c7]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: 123-143 - [c6]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 - [i9]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:
Hierarchical Perceiver. CoRR abs/2202.10890 (2022) - [i8]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object discovery and representation networks. CoRR abs/2203.08777 (2022) - [i7]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 abs/2209.15589 (2022) - [i6]Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff:
Self-supervised video pretraining yields strong image representations. CoRR abs/2210.06433 (2022) - 2021
- [c5]Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord:
Divide and Contrast: Self-supervised Learning from Uncurated Data. ICCV 2021: 10043-10054 - [c4]Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira:
Efficient Visual Pretraining with Contrastive Detection. ICCV 2021: 10066-10076 - [i5]Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira:
Efficient Visual Pretraining with Contrastive Detection. CoRR abs/2103.10957 (2021) - [i4]Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord:
Divide and Contrast: Self-supervised Learning from Uncurated Data. CoRR abs/2105.08054 (2021) - [i3]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 abs/2107.14795 (2021) - 2020
- [c3]Olivier J. Hénaff:
Data-Efficient Image Recognition with Contrastive Predictive Coding. ICML 2020: 4182-4192 - [i2]Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord:
Are we done with ImageNet? CoRR abs/2006.07159 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1905.09272 (2019) - 2016
- [c2]Olivier J. Hénaff, Eero P. Simoncelli:
Geodesics of learned representations. ICLR (Poster) 2016 - 2015
- [c1]Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli:
The local low-dimensionality of natural images. ICLR 2015
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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