conftrace_

dataset bia

149 papers

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Co-occurring keywords

spurious correlation (279) text classification (6793) domain generalization (1522) bias mitigation (500) natural language understanding (846) question answering (2963) benchmark evaluation (1556) out-of-distribution generalization (408) visual question answering (1017) model robustness (480)

Papers

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks ACL 2023
NLPositionality: Characterizing Design Biases of Datasets and Models ACL 2023
Robust Natural Language Understanding with Residual Attention Debiasing ACL 2023
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection EMNLP 2023
Debias NLU Datasets via Training-free Perturbations EMNLP 2023
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations MLHC 2023
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition NIPS 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models IJCAI 2023
Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL 2023
Into the LAION’s Den: Investigating Hate in Multimodal Datasets NIPS 2023
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation CVPR 2023
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models EMNLP 2023
Gender Artifacts in Visual Datasets ICCV 2023
Knowledge Proxy Intervention for Deconfounded Video Question Answering ICCV 2023
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels AAAI 2023
Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023
Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses NAACL 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection ACL 2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models EMNLP 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection NAACL 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022
Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond EMNLP 2022