Co-occurring keywords · papers mentioning both
Papers
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
NeurIPS 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
ICML 2022
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples
ACL 2022
Dual Reweighting Domain Generalization for Face Presentation Attack Detection
IJCAI 2021
Learning Fast Sample Re-Weighting Without Reward Data
ICCV 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning
AAAI 2021
Meta-Mining Discriminative Samples for Kinship Verification
CVPR 2021
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
AAAI 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
AAAI 2021
Decorrelated Clustering with Data Selection Bias
IJCAI 2020
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
NeurIPS 2020
Learning From Noisy Anchors for One-Stage Object Detection
CVPR 2020
Stable Learning via Sample Reweighting
AAAI 2020
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NeurIPS 2019
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension
NAACL 2019
Zero-shot Domain Adaptation Based on Attribute Information
ACML 2019
Residual Unfairness in Fair Machine Learning from Prejudiced Data
ICML 2018
Selective Transfer Machine for Personalized Facial Action Unit Detection
CVPR 2013