Adrien Bardes

5 papers · 2021–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

ICLR (2) NeurIPS (2) ICCV (1)

Top co-authors

Yann LeCun (3) Jean Ponce (2) Manli Shu (1) Yu-Xiong Wang (1) Martial Hebert (1) Viraj Prabhu (1) Quentin Garrido (1) Andrew G Wilson (1) Liangke Gui (1) Renkun Ni (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (4) Deep Learning (3) Learning Types · Deep Learning (3) Computer Vision (2) Analysis (2) Optimization & Theory (2) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Techniques (1)

Keywords

representation learning (4) self-supervised learning (3) contrastive learning (1) semantic segmentation (1) feature learning (1) few-shot learning (1) domain generalization (1) transfer learning (1) computer vision (1) invariance learning (1) hyperparameter tuning (1) pre-trained model (1) image embedding (1) local feature (1) example hallucination (1) mentor model (1) backbone network (1) global feature (1) non-contrastive learning (1) backbone architecture (1)

Papers

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks NeurIPS 2023 On the duality between contrastive and non-contrastive self-supervised learning ICLR 2023 VICRegL: Self-Supervised Learning of Local Visual Features NeurIPS 2022 VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning ICLR 2022 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021