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influence function

169 papers

IF

Papers

Influence Functions for Sequence Tagging Models EMNLP 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NeurIPS 2022 JAWS: Auditing Predictive Uncertainty Under Covariate Shift NeurIPS 2022 Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022 Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022 Offline change detection under contamination UAI 2022 Partial Label Learning via Label Influence Function ICML 2022 Phenomenology of Double Descent in Finite-Width Neural Networks ICLR 2022 PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population EMNLP 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Resolving Training Biases via Influence-based Data Relabeling ICLR 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Scaling Up Influence Functions AAAI 2022 Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables JMLR 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 Understanding Gender Bias in Knowledge Base Embeddings ACL 2022 Understanding Instance-Level Impact of Fairness Constraints ICML 2022 Understanding Programmatic Weak Supervision via Source-aware Influence Function NeurIPS 2022 An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021 Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ICML 2021 Estimating Identifiable Causal Effects through Double Machine Learning AAAI 2021 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021 HILDIF: Interactive Debugging of NLI Models Using Influence Functions ACL 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021