conftrace_

Kyle Whitecross

2 papers · 2022–2024 · 2 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

Venues

ICML (1) UAI (1)

Top co-authors

Yihao Xue (2) Baharan Mirzasoleiman (2)

Research topics

Deep Learning (2) Machine Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1)

Keywords

label noise (2) contrastive learning (1) double descent (1) adversarial robustness (1) self-supervised learning (1) singular value decomposition (1) model generalization (1) noisy label (1) overparameterized neural network (1) label noise robustness (1) model width (1) representation learning (1) model density (1)

Papers

Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise UAI 2024 Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022