Michelle Karg

3 papers · 2020–2024 · 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

CVPR (1) ICCV (1) UAI (1)

Top co-authors

Sahin Albayrak (1) Lennart Bramlage (1) Christian Wirth (1) Christian Scharfenberger (1) Mohammad Javad Shafiee (1) Alexander Wong (1) Nadja Klein (1) Moussa Kassem-Sbeyti (1) Cristóbal Curio (1) Ahmadreza Jeddi (1)

Research topics

Artificial Intelligence (3) Computer Vision (2) Machine Learning (2) Analysis (2) Core AI (2) Deep Learning (1) Bayesian & Probabilistic (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

aleatoric uncertainty (2) adversarial robustness (1) variational inference (1) uncertainty quantification (1) epistemic uncertainty (1) object detection (1) model robustness (1) autonomous driving (1) human pose estimation (1) cost-sensitive learning (1) adversarial attack (1) feature perturbation (1) monte carlo dropout (1) neural network (1) deep evidential regression (1) adversarial learning (1) failure recognition (1)

Papers

Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection UAI 2024 Plausible Uncertainties for Human Pose Regression ICCV 2023 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020