dataset bia

Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain ACL 2021 Mitigation of Diachronic Bias in Fake News Detection Dataset EMNLP 2021 On Releasing Annotator-Level Labels and Information in Datasets EMNLP 2021 On the Transferability of Minimal Prediction Preserving Inputs in Question Answering NAACL 2021 Perceptual Score: What Data Modalities Does Your Model Perceive? NeurIPS 2021 Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? CVPR 2021 The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets AAAI 2021 Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy EMNLP 2021 tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets NAACL 2021 Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021 Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models EMNLP 2021 We Need to Consider Disagreement in Evaluation ACL 2021 Adversarial Filters of Dataset Biases ICML 2020 A negative case analysis of visual grounding methods for VQA ACL 2020 AViD Dataset: Anonymized Videos from Diverse Countries NeurIPS 2020 Can Deep Learning Recognize Subtle Human Activities? CVPR 2020 Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets EMNLP 2020 Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020 End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020 Fair Generative Modeling via Weak Supervision ICML 2020 From ImageNet to Image Classification: Contextualizing Progress on Benchmarks ICML 2020 Investigating Sampling Bias in Abusive Language Detection EMNLP 2020 Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles EMNLP 2020 ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning ICLR 2020