Yuji Roh

6 papers · 2020–2025 · 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 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

ICML (3) ICLR (2) NeurIPS (1)

Top co-authors

Kangwook Lee (4) Changho Suh (4) Steven Euijong Whang (4) Steven Whang (2) Ed H. Chi (1) Yujin Tang (1) Huan Gui (1) Zhe Yuan (1) Soyeon Kim (1) Qingyun Liu (1)

Research topics

Machine Learning (5) Application Areas (5) Artificial Intelligence (4) Core AI (4) Deep Learning (2) Optimization & Theory (2) Learning Types (1) Models (1) Techniques (1)

Keywords

algorithmic fairness (2) model fairness (2) robust training (2) domain adaptation (1) ensemble learning (1) adversarial training (1) synthetic data generation (1) mutual information (1) distribution shift (1) batch selection (1) bilevel optimization (1) generalization (1) generative model (1) sample selection (1) group fairness (1) data corruption (1) fair machine learning (1) trustworthy ai (1) demographic parity (1) fine tuning (1)

Papers

PFGuard: A Generative Framework with Privacy and Fairness Safeguards ICLR 2025 LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML 2024 Improving Fair Training under Correlation Shifts ICML 2023 FairBatch: Batch Selection for Model Fairness ICLR 2021 Sample Selection for Fair and Robust Training NeurIPS 2021 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020