Aaron Adcock

5 papers · 2016–2023 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

🏆 Keyword Champion (2)

Venues

ICCV (2) CVPR (1) NeurIPS (1) NSDI (1)

Top co-authors

Laura Gustafson (2) Quentin Duval (2) Laurens van der Maaten (2) Piotr Dollár (2) Ross Girshick (2) Mannat Singh (2) Alessandro Presta (1) Vaibhav Aggarwal (1) Candace Ross (1) Cheng-Yang Fu (1)

Research topics

Machine Learning (4) Computer Vision (2) Analysis (2) Application Areas (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

visual recognition (2) transfer learning (2) self-supervised learning (2) model pretraining (2) weakly supervised learning (1) model evaluation (1) dataset bia (1) masked autoencoder (1) fairness evaluation (1) intersectional bia (1) demographic bia (1) hashtag supervision (1) image classification (1) geographic diversity (1) computer vision (1) visual perception (1) object recognition (1)

Papers

FACET: Fairness in Computer Vision Evaluation Benchmark ICCV 2023 GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition NeurIPS 2023 The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining ICCV 2023 Revisiting Weakly Supervised Pre-Training of Visual Perception Models CVPR 2022 Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks NSDI 2016