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Robust Learning

10 papers

Papers per year

3
2
2
3

Papers

Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation MIDL 2026
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI MIDL 2026
Learning Robust Medical Image Segmentation with Inductive Bias MIDL 2026
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NIPS 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022
Learning from Noisy Labels with Complementary Loss Functions AAAI 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021
Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021