Zhu, Weicheng

5 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

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

CVPR 2022 Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, 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