Marzyeh Ghassemi
- Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
2022/11/20 by Thomas Hartvigsen, Hartvigsen, Thomas, Swami Sankaranarayanan +7 · 65 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Natural Language Processing Techniques #Topic Modeling
- Ethical Machine Learning in Health Care
2020/09/22 by Irene Y. Chen, Emma Pierson, Sherri Rose +3 · 1 voice · 10 citations
Computer Science · #cs.CY #cs.AI #cs.LG
- If Influence Functions are the Answer, Then What is the Question?
2022/09/12 by Juhan Bae, Bae, Juhan, Nathan Ng +7 · 41 citations
Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Neural Networks and Applications
- TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 54 citations
Decision Sciences · Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Healthcare cost, quality, practices #Meta-analysis and systematic reviews
- Vision-Language Models Do Not Understand Negation
2025/01/16 by Kumail Alhamoud, Shaden Alshammari, Alhamoud, Kumail +12 · 3 voices · 23 citations
Computer Science · Psychology · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Natural Language Processing Techniques #Speech and dialogue systems #cs.CL #cs.CV
- Clinically Accurate Chest X-Ray Report Generation
2019/04/04 by Guanxiong Liu, Tzu-Ming Harry Hsu, Liu, Guanxiong +11 · 22 citations
Computer Science · Medicine · #AI in cancer detection #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
- Change is Hard: A Closer Look at Subpopulation Shift
2023/02/23 by Yuzhe Yang, Haoran Zhang, Yang, Yuzhe +5 · 29 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Deep Reinforcement Learning for Sepsis Treatment
2017/11/27 by Aniruddh Raghu, Matthieu Komorowski, Raghu, Aniruddh +9 · 23 citations
Medicine · Computer Science · #Sepsis Diagnosis and Treatment #Machine Learning in Healthcare #Clinical Reasoning and Diagnostic Skills
- FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
2023/08/11 by Karim Lekadir, Lekadir, Karim, Aasa Feragen +214 · 27 citations
Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #I.2.0 #I.4.0 #I.5.0 #Machine Learning (cs.LG)
- Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
2017/05/23 by Aniruddh Raghu, Matthieu Komorowski, Raghu, Aniruddh +7 · 19 citations
Computer Science · Medicine · #FOS: Computer and information sciences #Intensive Care Unit Cognitive Disorders #Machine Learning (cs.LG) #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment
- Asymmetry in Low-Rank Adapters of Foundation Models
2024/02/26 by Jiacheng Zhu, Zhu, Jiacheng, Kristjan Greenewald +15 · 28 citations
Engineering · Environmental Science · #FOS: Computer and information sciences #Geotechnical and Geomechanical Engineering #Landslides and related hazards #Machine Learning (cs.LG)
- The medical algorithmic audit
2022/04/05 by Xiaoxuan Liu, Ben Glocker, Melissa D. McCradden +3 · 1 voice · 8 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Sepsis Diagnosis and Treatment
- Clinical Intervention Prediction and Understanding using Deep Networks
2017/05/23 by Harini Suresh, Suresh, Harini, Nathan Hunt +9 · 10 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Improving the Fairness of Chest X-ray Classifiers
2022/03/23 by Haoran Zhang, Natalie Dullerud, Zhang, Haoran +9 · 10 citations
Medicine · #Radiomics and Machine Learning in Medical Imaging #Artificial Intelligence in Healthcare and Education #Radiation Dose and Imaging
- "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
2022/10/19 by Haoran Zhang, Harvineet Singh, Zhang, Haoran +5 · 12 citations
Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
2019/08/02 by Bret Nestor, Matthew B. A. McDermott, Nestor, Bret +13 · 8 citations
Computer Science · Health Professions · #Machine Learning in Healthcare #Artificial Intelligence in Healthcare #Time Series Analysis and Forecasting
- An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
2020/11/23 by Taylor W. Killian, Killian, Taylor W., Haoran Zhang +7 · 7 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Reproducibility in Machine Learning for Health
2019/07/02 by Matthew B. A. McDermott, Shirly Wang, McDermott, Matthew B. A. +9 · 7 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
2020/03/11 by Haoran Zhang, Amy X. Lu, Zhang, Haoran +7 · 5 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
- Can AI Relate: Testing Large Language Model Response for Mental Health Support
2024/05/20 by Saadia Gabriel, Isha Puri, Gabriel, Saadia +7 · 10 citations
Psychology · Computer Science · #Mental Health via Writing #Machine Learning in Healthcare
- Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
2020/10/13 by Vinith M. Suriyakumar, Nicolas Papernot, Suriyakumar, Vinith M. +5 · 5 citations
Economics, Econometrics and Finance · Health Professions · #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Healthcare Policy and Management #Healthcare cost, quality, practices #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Identifying Implicit Social Biases in Vision-Language Models
2024/11/01 by Kimia Hamidieh, Haoran Zhang, Hamidieh, Kimia +7 · 10 citations
Psychology · #Artificial Intelligence (cs.AI) #Categorization, perception, and language #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences
- BendVLM: Test-Time Debiasing of Vision-Language Embeddings
2024/11/07 by Walter Gerych, Gerych, Walter, Haoran Zhang +11 · 9 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Mitigating the impact of biased artificial intelligence in emergency decision-making
2022/11/21 by Hammaad Adam, Aparna Balagopalan, Emily Alsentzer +2 · 1 voice · 4 citations
Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Clinical Reasoning and Diagnostic Skills #Ethics and Social Impacts of AI
- Medical Dead-ends and Learning to Identify High-risk States and\n Treatments
2021/10/08 by Mehdi Fatemi, Taylor W. Killian, Fatemi, Mehdi +5 · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
- MisinfoEval: Generative AI in the Era of "Alternative Facts"
2024/10/13 by Saadia Gabriel, Gabriel, Saadia, Liang Lyu +9 · 6 citations
Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences
- CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
2020/06/26 by Matthew B. A. McDermott, Tzu Ming Harry Hsu, McDermott, Matthew B. A. +7 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Topic Modeling
- Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
2025/02/06 by Yik Siu Chan, Narutatsu Ri, Chan, Yik Siu +5 · 10 citations
Economics, Econometrics and Finance · Social Sciences · Computer Science · #Law, Economics, and Judicial Systems #Artificial Intelligence in Law #Law, AI, and Intellectual Property
- Train Long, Think Short: Curriculum Learning for Efficient Reasoning
2025/08/12 by Hasan Abed Al Kader Hammoud, Kumail Alhamoud, Hammoud, Hasan Abed Al Kader +8 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
2023/05/18 by Yuxin Xiao, Shulammite Lim, Xiao, Yuxin +5 · 2 citations
Health Professions · Medicine · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #Electronic Health Records Systems #Ethics in Clinical Research #FOS: Computer and information sciences #Global Cancer Incidence and Screening #Machine Learning (cs.LG)
- Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
2024/06/24 by Saachi Jain, Jain, Saachi, Kimia Hamidieh +10 · 1 voice · 2 citations
Computer Science · Mathematics · #Advanced Clustering Algorithms Research #Machine Learning and Data Classification #Text and Document Classification Technologies #cs.CY #cs.LG #stat.ML
- PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
2025/03/24 by Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul +25 · 1 voice · 3 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
- Counterfactually Guided Off-policy Transfer in Clinical Settings
2020/06/20 by Taylor W. Killian, Killian, Taylor W., Marzyeh Ghassemi +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- An Empirical Framework for Domain Generalization in Clinical Settings
2021/03/20 by Haoran Zhang, Natalie Dullerud, Zhang, Haoran +9 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
2024/07/11 by Kumail Alhamoud, Alhamoud, Kumail, Yasir Ghunaim +13 · 2 citations
Medicine · Decision Sciences · #Digital Radiography and Breast Imaging #Medical Imaging Techniques and Applications #Scientific Computing and Data Management
- When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction
2022/06/04 by Vinith M. Suriyakumar, Suriyakumar, Vinith M., Marzyeh Ghassemi +3 · 1 citation
Computer Science · Mathematics · Medicine · #Advanced Causal Inference Techniques #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations
2024/11/16 by Qixuan Jin, Jin, Qixuan, Walter Gerych +3 · 2 citations
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
- Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning
2023/01/13 by Taylor W. Killian, Killian, Taylor W., Sonali Parbhoo +3 · 1 citation
Computer Science · Economics, Econometrics and Finance · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making
2025/06/20 by Abinitha Gourabathina, Yuexing Hao, Gourabathina, Abinitha +5 · 1 voice · 1 citation
Computer Science · Medicine · Psychology · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Mental Health via Writing #cs.AI
- LEMoN: Label Error Detection using Multimodal Neighbors
2024/07/10 by Haoran Zhang, Zhang, Haoran, Aparna Balagopalan +11 · 1 citation
Computer Science · Decision Sciences · #Software Testing and Debugging Techniques #Risk and Safety Analysis #Anomaly Detection Techniques and Applications
- Improving Black-box Robustness with In-Context Rewriting
2024/02/13 by Kyle O'Brien, Nathan Ng, O'Brien, Kyle +13 · 1 citation
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
- Measuring Stochastic Data Complexity with Boltzmann Influence Functions
2024/06/04 by Nathan Ng, Ng, Nathan, Roger Grosse +3 · 1 citation
Computer Science · Materials Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural Networks and Applications
- Improving Dialogue Breakdown Detection with Semi-Supervised Learning
2020/10/30 by Nathan Ng, Ng, Nathan, Marzyeh Ghassemi +7 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- Generative AI in Medicine
2024/12/13 by Divya Shanmugam, Shanmugam, Divya, Monica Agrawal +11 · 3 voices
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #cs.AI #cs.CY #cs.HC #cs.LG
- Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments
2025/06/16 by Jennah Gosciak, Gosciak, Jennah, Aparna Balagopalan +9 · 2 voices
Computer Science · #cs.CY
- SpaceVLM: Sub-Space Modeling of Negation in Vision-Language Models
2025/11/15 by Sepehr Kazemi Ranjbar, Kumail Alhamoud, Ranjbar, Sepehr Kazemi +3 · 1 citation
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis