Nicholas Turk-Browne

2 papers · 2020–2022 · 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 🐣 Hot Topic Early Bird 🏆 Keyword Champion ❓ The Questioner

Venues

NeurIPS (2)

Top co-authors

Smita Krishnaswamy (1) James J DiCarlo (1) Karsten Borgwardt (1) Tristan Yates (1) Xiaoxuan Jia (1) Dan Yamins (1) Bastian Rieck (1) Chengxu Zhuang (1) Ziyu Xiang (1) Christian Bock (1)

Research topics

Machine Learning (2) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Core AI (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

fmri analysis (1) unsupervised learning (1) contrastive learning (1) continual learning (1) computer vision (1) self-supervised learning (1) topological data analysis (1) real-time learning (1) lifelong learning (1) persistence diagram (1) visual learning (1) cubical persistence (1) brain state trajectory (1)

Papers

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? NeurIPS 2022 Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence NeurIPS 2020