dataset bia

Clever Hans Effect Found in Automatic Detection of Alzheimer's Disease through Speech Interspeech 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering NeurIPS 2024 Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024 Quality-Diversity Generative Sampling for Learning with Synthetic Data AAAI 2024 Self-Supervised Position Debiasing for Large Language Models ACL 2024 Studying and Mitigating Biases in Sign Language Understanding Models EMNLP 2024 Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering WACV 2024 TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024 A Survey on Out-of-Distribution Evaluation of Neural NLP Models IJCAI 2023 A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection EMNLP 2023 A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023 Bias Mimicking: A Simple Sampling Approach for Bias Mitigation CVPR 2023 Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023 Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 Consensus and Subjectivity of Skin Tone Annotation for ML Fairness NeurIPS 2023 Construction Artifacts in Metaphor Identification Datasets EMNLP 2023 Data Feedback Loops: Model-driven Amplification of Dataset Biases ICML 2023 Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond EMNLP 2023 Debias NLU Datasets via Training-free Perturbations EMNLP 2023 Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels AAAI 2023 Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL 2023