conftrace_

Jay Nandy

2 papers · 2020–2024 · 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 🌉 Interdisciplinary Bridge · Bronze

Venues

AAAI (1) NeurIPS (1)

Top co-authors

Aravindan Raghuveer (1) Shreyas Havaldar (1) Mong Li Lee (1) Wynne Hsu (1) Karthikeyan Shanmugam (1) Jatin Chauhan (1)

Research topics

Machine Learning (2) Learning Types · Machine Learning (2) Data Science & Analytics (1) Deep Learning (1) Application Areas (1) Learning Types · Deep Learning (1) Methods (1) Optimization & Theory (1)

Keywords

representation learning (1) semi-supervised learning (1) algorithmic fairness (1) covariate shift (1) out-of-distribution detection (1) uncertainty estimation (1) ood detection (1) weighted entropy (1) representation matching (1) fairness-accuracy trade-off (1) representation gap (1) dirichlet prior network (1)

Papers

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024 Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NeurIPS 2020