model bia

Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023 Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer WACV 2023 Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023 GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods CVPR 2023 Mitigating Bias: Enhancing Image Classification by Improving Model Explanations ACML 2023 On Measuring Fairness in Generative Models NeurIPS 2023 Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NeurIPS 2023 Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection EMNLP 2023 Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection NAACL 2022 Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning ICLR 2021 Challenges in Detoxifying Language Models EMNLP 2021 Qualitative Analysis of Depression Models by Demographics NAACL 2021 Towards Equal Gender Representation in the Annotations of Toxic Language Detection ACL 2021 Understanding and Interpreting the Impact of User Context in Hate Speech Detection NAACL 2021 Perturbation Sensitivity Analysis to Detect Unintended Model Biases EMNLP 2019 Transductive Learning for Zero-Shot Object Detection ICCV 2019 Adaptive Sampled Softmax with Kernel Based Sampling ICML 2018