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Yuzhe Ou

2 papers · 2021–2024 · 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 📈 Trend Setter

Venues

AAAI (1) ICLR (1)

Top co-authors

Feng Chen (2) Jin-Hee Cho (2) DONG HYUN JEONG (1) Changbin Li (1) Yibo Hu (1) Lance M. Kaplan (1) Kangshuo Li (1) Audun Jøsang (1) Xujiang Zhao (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Bayesian & Probabilistic (2) Core AI (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

uncertainty quantification (2) adversarial training (1) deep neural network (1) out-of-distribution detection (1) generative adversarial network (1) evidence theory (1) evidential neural network (1) waserstein generative adversarial network (1) probabilistic modeling (1) composite classification (1)

Papers

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021