Jingyi Cui

5 papers · 2021–2025 · 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 🗺️ Taxonomy Completionist (13)

Venues

ICML (4) ICLR (1)

Top co-authors

Yisen Wang (5) Yifei Wang (2) Hanyuan Hang (2) Hongwei Wen (2) Zhouchen Lin (2) Qi Zhang (1) Stefanie Jegelka (1) Jiabin Liu (1) Weiran Huang (1) Xiang Pan (1)

Research topics

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

Keywords

weakly supervised learning (2) contrastive learning (2) semi-supervised learning (1) few-shot learning (1) anomaly detection (1) density estimation (1) model robustness (1) data augmentation (1) feature representation (1) partial label learning (1) gradient boosting (1) convergence rate (1) loss function (1) noisy label (1) out-of-domain generalization (1) error bound (1) risk consistency (1) semantic label assumption (1) supervised risk (1) unsupervised learning (1)

Papers

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning ICML 2025 Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness ICLR 2025 Rethinking Weak Supervision in Helping Contrastive Learning ICML 2023 GBHT: Gradient Boosting Histogram Transform for Density Estimation ICML 2021 Leveraged Weighted Loss for Partial Label Learning ICML 2021