Co-occurring keywords · papers mentioning both
Papers
A Reduction to Binary Approach for Debiasing Multiclass Datasets
NeurIPS 2022
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
NeurIPS 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
AAAI 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
AAAI 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
NeurIPS 2021
Debiased Visual Question Answering from Feature and Sample Perspectives
NeurIPS 2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
ICLR 2021
Gaussian Approximation for Bias Reduction in Q-Learning
JMLR 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
ICML 2021
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
ICML 2021
Stochastic Bias-Reduced Gradient Methods
NeurIPS 2021
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
EMNLP 2020
DeltaGrad: Rapid retraining of machine learning models
ICML 2020
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid
AAAI 2020
NestedVAE: Isolating Common Factors via Weak Supervision
CVPR 2020
Reducing Unintended Identity Bias in Russian Hate Speech Detection
EMNLP 2020
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons
AISTATS 2020
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
AAAI 2020
Identifying and Reducing Gender Bias in Word-Level Language Models
NAACL 2019
REPAIR: Removing Representation Bias by Dataset Resampling
CVPR 2019
RUBi: Reducing Unimodal Biases for Visual Question Answering
NeurIPS 2019
Consistent On-Line Off-Policy Evaluation
ICML 2017
Modeling Bias Reduction Strategies in a Biased Agent
IJCAI 2017
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
AISTATS 2014