Jin-Hee Cho

4 papers · 2019–2024 · 4 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 📈 Trend Setter

Venues

AAAI (1) ICLR (1) IJCAI (1) NeurIPS (1)

Top co-authors

Feng Chen (3) Yuzhe Ou (2) Xujiang Zhao (2) Munindar P. Singh (1) DONG HYUN JEONG (1) Changbin Li (1) Yibo Hu (1) Kevin S. Chan (1) Nirav Ajmeri (1) Lance M. Kaplan (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Machine Learning (3) Bayesian & Probabilistic (3) Learning Types · Machine Learning (2) Interdisciplinary (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1) Social (1)

Keywords

uncertainty quantification (3) out-of-distribution detection (2) adversarial training (1) dirichlet distribution (1) deep neural network (1) node classification (1) generative adversarial network (1) evidence theory (1) dynamic bayesian network (1) graph neural network (1) multi-agent system (1) evidential neural network (1) waserstein generative adversarial network (1) semi-supervised learning (1) composite classification (1) probabilistic modeling (1)

Papers

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 Uncertainty Aware Semi-Supervised Learning on Graph Data NeurIPS 2020 The Interplay of Emotions and Norms in Multiagent Systems IJCAI 2019