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influence function

143 papers

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Also known as

IF

Co-occurring keywords

large language model (13587) training datum (124) machine unlearning (290) model interpretation (93) model interpretability (519) data attribution (16) neural network (6616) data selection (221) model debugging (24) training data attribution (10)

Papers

Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ICML 2021
Interactive Label Cleaning with Example-based Explanations NIPS 2021
An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation ACL 2021
HILDIF: Interactive Debugging of NLI Models Using Influence Functions IJCNLP 2021
Learning Augmentation Network via Influence Functions CVPR 2020
Multi-Stage Influence Function NIPS 2020
Efficient Estimation of Influence of a Training Instance EMNLP 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020
Estimating Training Data Influence by Tracing Gradient Descent NIPS 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020
RelatIF: Identifying Explanatory Training Samples via Relative Influence AISTATS 2020
Interpreting Twitter User Geolocation ACL 2020
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NIPS 2020
Interpreting Predictions of NLP Models EMNLP 2020
Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020
On Second-Order Group Influence Functions for Black-Box Predictions ICML 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL 2020
Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019
Validating Causal Inference Models via Influence Functions ICML 2019
First order expansion of convex regularized estimators NIPS 2019
On the Accuracy of Influence Functions for Measuring Group Effects NIPS 2019