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Mario Döbler

3 papers · 2022–2024 · 3 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 (11)

Venues

AISTATS (1) CVPR (1) WACV (1)

Top co-authors

Bin Yang (3) Robert A. Marsden (2) Alexander Bartler (1) Andre Bühler (1) Felix Wiewel (1)

Research topics

Machine Learning (3) Application Areas (3) Learning Types · Machine Learning (3) Deep Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1) Optimization & Theory (1)

Keywords

test-time adaptation (3) domain shift (2) domain adaptation (2) few-shot learning (1) domain generalization (1) transfer learning (1) entropy minimization (1) self-supervised learning (1) weight averaging (1) mean teacher (1) weight ensembling (1) prior correction (1) meta test-time training (1) contrastive learning (1) symmetric cross-entropy (1) continual learning (1) catastrophic forgetting (1)

Papers

Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction WACV 2024 Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023 MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption AISTATS 2022