Dan Yamins

5 papers · 2021–2023 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) ❓ The Questioner (2)

Venues

NeurIPS (5)

Top co-authors

Josh Tenenbaum (2) Hsiao-Yu Tung (2) James J DiCarlo (1) Lisa Giocomo (1) Malcolm Campbell (1) Xiaoxuan Jia (1) Surya Ganguli (1) Aran Nayebi (1) Yunzhu Li (1) Klemen Kotar (1)

Research topics

Computer Vision (4) Machine Learning (4) Deep Learning (3) Analysis (3) Core Methods (3) Processing (3) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Learning Paradigms (1)

Keywords

contrastive learning (2) computer vision (2) 3d reconstruction (1) continual learning (1) scene understanding (1) foreground extraction (1) video prediction (1) self-supervised learning (1) model architecture (1) 3d vision (1) future prediction (1) real-time learning (1) image similarity (1) lifelong learning (1) neural response (1) neural radiance field (1) grid cell (1) object re-identification (1) physical reasoning (1) contrastive self-supervised learning (1)

Papers

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes NeurIPS 2023 Are These the Same Apple? Comparing Images Based on Object Intrinsics NeurIPS 2023 Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties NeurIPS 2023 How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? NeurIPS 2022 Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks NeurIPS 2021