Co-occurring keywords · papers mentioning both
Papers
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
AAAI 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases
ACL 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
EMNLP 2019
Detection of Abusive Language: the Problem of Biased Datasets
NAACL 2019
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
EMNLP 2019
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
NeurIPS 2019
On Making Reading Comprehension More Comprehensive
EMNLP 2019
On Zero-Shot Recognition of Generic Objects
CVPR 2019
Racial Bias in Hate Speech and Abusive Language Detection Datasets
ACL 2019
Revisiting the Evaluation of Theory of Mind through Question Answering
EMNLP 2019
Revisiting Visual Grounding
NAACL 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
ACL 2019
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA
NAACL 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
EMNLP 2019
When Choosing Plausible Alternatives, Clever Hans can be Clever
EMNLP 2019
Annotation Artifacts in Natural Language Inference Data
NAACL 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
NeurIPS 2018
Tackling the Story Ending Biases in The Story Cloze Test
ACL 2018
Object-Proposal Evaluation Protocol is 'Gameable'
CVPR 2016
Scene Recognition With CNNs: Objects, Scales and Dataset Bias
CVPR 2016
Learning With Dataset Bias in Latent Subcategory Models
CVPR 2015
Semi-supervised Domain Adaptation with Instance Constraints
CVPR 2013
Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
ICCV 2013