Mina Rezaei

5 papers · 2022–2026 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🔥 Unstoppable · Bronze

Venues

ICLR (2) ACL (1) NeurIPS (1) UAI (1)

Top co-authors

Bernd Bischl (5) Yawei Li (2) Eyke Hüllermeier (2) Daniel Saggau (1) Lisa Wimmer (1) Rodrigo Caye Daudt (1) Ilias Chalkidis (1) Stefano D'Aronco (1) Alexander Becker (1) Simon Schosser (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Bayesian & Probabilistic (3) Core AI (3) Deep Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Natural Language Processing (1) Applications (1) Core Methods (1) Resources & Methods (1)

Keywords

uncertainty quantification (2) contrastive learning (1) robust optimization (1) text classification (1) information bottleneck (1) epistemic uncertainty (1) self-supervised learning (1) knowledge distillation (1) deep learning (1) bregman divergence (1) covariate shift (1) label noise (1) siamese neural network (1) probabilistic model (1) credal set (1) model ensemble (1) uncertainty estimation (1) evidential deep learning (1) min-max optimization (1) document embedding (1)

Papers

Structured Credal Learning UAI 2026 Calibrating LLMs with Information-Theoretic Evidential Deep Learning ICLR 2025 Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization ICLR 2024 Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning ACL 2023 FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation NeurIPS 2022