Yivan Zhang

5 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 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

ICML (3) NeurIPS (2)

Top co-authors

Masashi Sugiyama (5) Nontawat Charoenphakdee (2) Zhenghang Cui (1) Zhenguo Wu (1) Gang Niu (1)

Research topics

Machine Learning (5) Core Methods (5) Learning Types · Machine Learning (4) Optimization & Theory · Machine Learning (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

representation learning (2) metric learning (1) semi-supervised learning (1) probabilistic modeling (1) weakly supervised learning (1) maximum likelihood (1) multiple instance learning (1) label noise (1) gradient boosting (1) classifier learning (1) multi-class classification (1) cost-sensitive classification (1) classification with rejection (1) disentangled representation (1) noisy label (1) positive-unlabeled learning (1) quantitative metric (1) logical definition (1) ensemble classifier (1) triplet comparison (1)

Papers

Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024 A Category-theoretical Meta-analysis of Definitions of Disentanglement ICML 2023 Classification with Rejection Based on Cost-sensitive Classification ICML 2021 Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization ICML 2021 Learning from Aggregate Observations NeurIPS 2020