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Carsten Lüth

2 papers · 2023–2024 · 1 venue · 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.

Venues

NeurIPS (2)

Top co-authors

Till Bungert (2) Lukas Klein (2) Udo Schlegel (1) Mennatallah El-Assady (1) Paul Jäger (1) Paul Jaeger (1)

Research topics

Machine Learning (2) Learning Types (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Core Methods (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

evaluation benchmark (2) image classification (1) benchmark evaluation (1) semi-supervised learning (1) self-supervised learning (1) explainable ai (1) evaluation methodology (1) feature attribution (1) model interpretability (1) saliency mapping (1) saliency map (1) model ranking (1) metric evaluation (1) active learning (1) query method (1)

Papers

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NeurIPS 2024 Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment NeurIPS 2023