Olivier J. Hénaff

6 papers · 2021–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

CVPR (2) ICCV (2) ECCV (1) NeurIPS (1)

Top co-authors

Talfan Evans (2) Nikhil Parthasarathy (2) Joao Carreira (2) Aaron van den Oord (2) Skanda Koppula (2) Muhammad Ferjad Naeem (1) Evan Shelhamer (1) Yongqin Xian (1) Dima Damen (1) Andrew Zisserman (1)

Research topics

Deep Learning (4) Machine Learning (4) Learning Types · Machine Learning (4) Techniques (4) Artificial Intelligence (3) Learning Paradigms (2) Application Areas (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

contrastive learning (4) representation learning (2) self-supervised learning (2) transfer learning (2) vision-language model (2) multimodal pretraining (2) multimodal learning (1) model approximation (1) vision encoder (1) zero-shot classification (1) data curation (1) hard negative mining (1) multimodal contrastive learning (1) visual pretraining (1) active data curation (1) neural scaling (1) contrastive multimodal pretraining (1) model compression (1) joint example selection (1) active learning (1)

Papers

Active Data Curation Effectively Distills Large-Scale Multimodal Models CVPR 2025 Context-Aware Multimodal Pretraining CVPR 2025 Data curation via joint example selection further accelerates multimodal learning NeurIPS 2024 Object Discovery and Representation Networks ECCV 2022 Divide and Contrast: Self-Supervised Learning From Uncurated Data ICCV 2021 Efficient Visual Pretraining With Contrastive Detection ICCV 2021