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Yihua Chen

4 papers · 2009–2024 · 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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+1 more ↓ 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
📈 Trend Setter

Venues

NeurIPS (3) JMLR (1)

Top co-authors

Ali Rahimi (1) Lichan Hong (1) Luca Cazzanti (1) Zhe Zhao (1) He Wang (1) Eric K. Garcia (1) Rahul Mazumder (1) Maheswaran Sathiamoorthy (1) Ed Chi (1) Maya R. Gupta (1)

Research topics

Machine Learning (4) Core Methods (4) Learning Types · Machine Learning (3) Artificial Intelligence (1) Deep Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

metric learning (1) multi-task learning (1) probabilistic modeling (1) maximum entropy (1) parameter estimation (1) expectation maximization (1) fine-grained classification (1) nearest neighbor (1) probability mass functions (1) restricted probability modeling (1) expert selection (1) dirichlet distribution (1) imbalanced learning (1) mixture of expert (1) noisy label (1) species classification (1) label correction (1) imbalanced dataset (1) kernel methods (1) similarity-based classification (1)

Papers

Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning NeurIPS 2021 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010 Similarity-based Classification: Concepts and Algorithms JMLR 2009