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spurious feature

29 papers

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Co-occurring keywords · papers mentioning both

domain generalization (6) out-of-distribution generalization (5) neural network (3) spurious correlation (3) model robustness (3) invariant risk minimization (2) counterfactually augmented data (2) generative adversarial network (2) data augmentation (2) self-supervised learning (2)

Papers

Debiasing Reward Models via Causally Motivated Inference-Time Intervention ACL 2026 Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data ACL 2026 Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation AISTATS 2025 AIM: Amending Inherent Interpretability via Self-Supervised Masking ICCV 2025 Clustered Invariant Risk Minimization AISTATS 2025 Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NeurIPS 2024 Causally Inspired Regularization Enables Domain General Representations AISTATS 2024 Empowering Graph Invariance Learning with Deep Spurious Infomax ICML 2024 How Spurious Features are Memorized: Precise Analysis for Random and NTK Features ICML 2024 Interpreting CLIP's Image Representation via Text-Based Decomposition ICLR 2024 Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators ICML 2024 On the Embedding Collapse when Scaling up Recommendation Models ICML 2024 PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts ICLR 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis MIDL 2024 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023 People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection EMNLP 2023 Provably Invariant Learning without Domain Information ICML 2023 RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering ACL 2023 Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023 When and Why Does Bias Mitigation Work? EMNLP 2023 Hard ImageNet: Segmentations for Objects with Strong Spurious Cues NeurIPS 2022 Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity MLHC 2022 Salient ImageNet: How to discover spurious features in Deep Learning? ICLR 2022 Editing a classifier by rewriting its prediction rules NeurIPS 2021 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021