Razavian, Narges

9 publications

TMLR 2025 Making Self-Supervised Learning Robust to Spurious Correlation via Learning-Speed Aware Sampling Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian

ICLRW 2025 Uncertainty of Vision Medical Foundation Models Haoxu Huang, Narges Razavian

MIDL 2023 Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence with Self-Supervised Learning Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian

CVPR 2023 Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

ICML 2022 Deep Probability Estimation Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

NeurIPS 2021 Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning Aakash Kaku, Sahana Upadhya, Narges Razavian

NeurIPS 2020 Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda

MLHC 2018 Deep EHR: Chronic Disease Prediction Using Medical Notes Jingshu Liu, Zachariah Zhang, Narges Razavian

MLHC 2016 Multi-Task Prediction of Disease Onsets from Longitudinal Laboratory Tests Narges Razavian, Jake Marcus, David Sontag