Michael Sjoding

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

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Achievements

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

Venues

NeurIPS (2) ECCV (1) ICML (1)

Top co-authors

Jenna Wiens (4) Sarah Jabbour (2) Maggie Makar (2) Shengpu Tang (2) David Fouhey (1) Ella Kazerooni (1) Finale Doshi-velez (1) Gregory Kondas (1) Aditya Modi (1) Jiaxuan Wang (1)

Research topics

Machine Learning (3) Healthcare & Medicine (2) Reinforcement Learning (2) Clinical (2) Learning Types · Machine Learning (2) Methods (2) Optimization & Theory (2) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

representation learning (1) shortcut learning (1) reinforcement learning (1) sample efficiency (1) temporal difference learning (1) feature learning (1) offline reinforcement learning (1) domain adaptation (1) policy learning (1) concept learning (1) domain knowledge (1) factored action spaces (1) bias-variance tradeoff (1) spurious correlation (1) clinical decision-making (1) set-valued policy (1) q-function decomposition (1) linear q-function decomposition (1)

Papers

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks ECCV 2024 Learning Concept Credible Models for Mitigating Shortcuts NeurIPS 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare NeurIPS 2022 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies ICML 2020