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← Authors

Marzyeh Ghassemi

39 papers · 2016–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9)
πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (141) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (38) πŸ”₯ Unstoppable (8) ❓ The Questioner (3)

Conferences

NIPS (10) ICML (9) MLHC (8) EMNLP (5) ICLR (4) ACL (1) CVPR (1) MICCAI (1)

Top co-authors

Haoran Zhang (6) Kimia Hamidieh (4) Hyewon Jeong (4) Karsten Roth (3) Peter Szolovits (3) Saadia Gabriel (3) Willie Boag (3) Jiacheng Zhu (2) Aparna Balagopalan (2) Nathan Ng (2)

Keywords

self-supervised learning (3) large language model (3) deep metric learning (3) domain generalization (2) chest x-ray (2) clinical prediction (2) clinical decision support (2) vision-language model (2) radiology report (2) user behavior (2) image classification (2) distribution shift (2) language model (2) subgroup robustness (2) sequential decision making (1) binary classification (1) image retrieval (1) human perception (1) continual learning (1) embedding space (1)

Papers

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe ACL 2026 Vision-Language Models Do Not Understand Negation CVPR 2025 LEMoN: Label Error Detection using Multimodal Neighbors ICML 2025 Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions ICML 2025 MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations EMNLP 2025 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation ICLR 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings NIPS 2024 MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making NIPS 2024 Improving Subgroup Robustness via Data Selection NIPS 2024 MisinfoEval: Generative AI in the Era of β€œAlternative Facts” EMNLP 2024 Can AI Relate: Testing Large Language Model Response for Mental Health Support EMNLP 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions ICML 2024 Position: Application-Driven Innovation in Machine Learning ICML 2024 Asymmetry in Low-Rank Adapters of Foundation Models ICML 2024 FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging MICCAI 2024 Event-Based Contrastive Learning for Medical Time Series MLHC 2024 Change is Hard: A Closer Look at Subpopulation Shift ICML 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals MLHC 2023 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors NIPS 2023 VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception NIPS 2023 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023 Improving Mutual Information Estimation with Annealed and Energy-Based Bounds ICLR 2022 Understanding the Variance Collapse of SVGD in High Dimensions ICLR 2022 Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning ICLR 2022 If Influence Functions are the Answer, Then What is the Question? NIPS 2022 Learning Optimal Predictive Checklists NIPS 2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021 Medical Dead-ends and Learning to Identify High-Risk States and Treatments NIPS 2021 Simultaneous Similarity-based Self-Distillation for Deep Metric Learning ICML 2021 CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020 SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020 Multiple Sclerosis Severity Classification From Clinical Text EMNLP 2020 Preparing a Clinical Support Model for Silent Mode in General Internal Medicine MLHC 2020 Clinically Accurate Chest X-Ray Report Generation MLHC 2019 Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks MLHC 2019 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NIPS 2019 Racial Disparities and Mistrust in End-of-Life Care MLHC 2018 Uncovering Voice Misuse Using Symbolic Mismatch MLHC 2016