sample weighting

Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021 Do We Really Need Gold Samples for Sample Weighting Under Label Noise? WACV 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract) AAAI 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 Learning a Unified Sample Weighting Network for Object Detection CVPR 2020 Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels Interspeech 2020 SuperLoss: A Generic Loss for Robust Curriculum Learning NeurIPS 2020 Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019 Zero-shot Domain Adaptation Based on Attribute Information ACML 2019 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels ICML 2018 Learning from Networked Examples ALT 2017 Robust Softmax Regression for Multi-class Classification with Self-Paced Learning IJCAI 2017 Robust Covariate Shift Regression AISTATS 2016