influence function

ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023 Error Discovery By Clustering Influence Embeddings NeurIPS 2023 Fast Model DeBias with Machine Unlearning NeurIPS 2023 GEX: A flexible method for approximating influence via Geometric Ensemble NeurIPS 2023 How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023 Influence Diagnostics under Self-concordance AISTATS 2023 Regularizing Second-Order Influences for Continual Learning CVPR 2023 RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023 Theoretical and Practical Perspectives on what Influence Functions Do NeurIPS 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 Understanding Influence Functions and Datamodels via Harmonic Analysis ICLR 2023 Achieving Fairness at No Utility Cost via Data Reweighing with Influence ICML 2022 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022 Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation EMNLP 2022 Cross-Loss Influence Functions to Explain Deep Network Representations AISTATS 2022 Data Appraisal Without Data Sharing AISTATS 2022 Datamodels: Understanding Predictions with Data and Data with Predictions ICML 2022 Data poisoning attacks on off-policy policy evaluation methods UAI 2022 Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective NeurIPS 2022 Exploring Example Influence in Continual Learning NeurIPS 2022 Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting NeurIPS 2022 Few Clean Instances Help Denoising Distant Supervision COLING 2022 Finding Influential Instances for Distantly Supervised Relation Extraction COLING 2022 First is Better Than Last for Language Data Influence NeurIPS 2022 If Influence Functions are the Answer, Then What is the Question? NeurIPS 2022