bias correction

Multiple Robust Learning for Recommendation AAAI 2023 Online Bias Correction for Task-Free Continual Learning ICLR 2023 On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023 Overwriting Pretrained Bias with Finetuning Data ICCV 2023 Regression with Sensor Data Containing Incomplete Observations ICML 2023 Reinforced Sequence Training based Subjective Bias Correction EACL 2023 Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2023 Dataset Knowledge Transfer for Class-Incremental Learning Without Memory WACV 2022 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022 Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022 Increasing the accuracy and resolution of precipitation forecasts using deep generative models AISTATS 2022 Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022 Recovering the Propensity Score from Biased Positive Unlabeled Data AAAI 2022 Robust Outlier Detection by De-Biasing VAE Likelihoods CVPR 2022 Bias-corrected peaks-over-threshold estimation of the CVaR UAI 2021 Continual Learning for Neural Machine Translation NAACL 2021 Debiased Subjective Assessment of Real-World Image Enhancement CVPR 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 Dimension reduction for data with heterogeneous missingness UAI 2021 EnD: Entangling and Disentangling Deep Representations for Bias Correction CVPR 2021 Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ACL 2021 Inference for the Case Probability in High-dimensional Logistic Regression JMLR 2021 Metadata Normalization CVPR 2021 Post-processing for Individual Fairness NeurIPS 2021 Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients ICLR 2021