spurious correlation

SelecMix: Debiased Learning by Contradicting-pair Sampling NeurIPS 2022 Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification ICML 2022 Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation ICLR 2022 Spurious Correlations in Reference-Free Evaluation of Text Generation ACL 2022 Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation EMNLP 2022 The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization NeurIPS 2022 Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022 Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022 Unsupervised Learning of Debiased Representations With Pseudo-Attributes CVPR 2022 Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data CVPR 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 Adversarial Invariant Learning CVPR 2021 Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering ICCV 2021 Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021 Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP 2021 Causal Attention for Unbiased Visual Recognition ICCV 2021 Causal Attention for Vision-Language Tasks CVPR 2021 Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021 Competency Problems: On Finding and Removing Artifacts in Language Data EMNLP 2021 Counterfactual Invariance to Spurious Correlations in Text Classification NeurIPS 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021 Element Intervention for Open Relation Extraction ACL 2021 Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021