Mark Heimann

4 papers · 2020–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICLR (1) WACV (1)

Top co-authors

Danai Koutra (3) Puja Trivedi (2) Jayaraman J. Thiagarajan (2) Rushil Anirudh (2) Lingxiao Zhao (1) Jiong Zhu (1) T.S. Jayram (1) Jayaraman Thiagarajan (1) Ekdeep S Lubana (1) Leman Akoglu (1)

Research topics

Machine Learning (4) Learning Types (3) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Architectures (1) Core Methods (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Optimization & Theory (1)

Keywords

graph neural network (3) semi-supervised learning (1) domain adaptation (1) epistemic uncertainty (1) self-supervised learning (1) knowledge distillation (1) data augmentation (1) graph representation (1) contrastive learning (1) node classification (1) out-of-distribution detection (1) uncertainty estimation (1) task adaptation (1) few-shot classification (1) graph contrastive learning (1) knowledge graph (1)

Papers

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ICLR 2024 Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023 Analyzing Data-Centric Properties for Graph Contrastive Learning NeurIPS 2022 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs NeurIPS 2020