Nayeong Kim

4 papers · 2022–2024 · 3 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 🗺️ Taxonomy Completionist (13)

Venues

ICML (2) ECCV (1) NeurIPS (1)

Top co-authors

Suha Kwak (4) Jungseul Ok (3) Juwon Kang (3) Sungsoo Ahn (2) Jaesik Park (1) Donghyeon Kwon (1) SEHYUN HWANG (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Application Areas (2) Core Methods (2) Learning Paradigms (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Mathematics & Optimization (1) Core AI (1) Optimization (1) Optimization & Theory (1)

Keywords

domain adaptation (1) ensemble learning (1) knowledge transfer (1) test-time adaptation (1) image synthesis (1) multi-objective optimization (1) bias mitigation (1) spurious correlation (1) model generalization (1) data condensation (1) inter-class relation (1) neural network (1) debiased classifier (1) bias-conflicting data (1) bootstrap ensemble (1) classifier debiasing (1) pareto solution (1) benchmark (1) group-wise losses (1) shortcuts (1)

Papers

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML 2024 MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory ECCV 2024 Leveraging Proxy of Training Data for Test-Time Adaptation ICML 2023 Learning Debiased Classifier with Biased Committee NeurIPS 2022