influence function

Influence Functions in Deep Learning Are Fragile ICLR 2021 Interactive Label Cleaning with Example-based Explanations NeurIPS 2021 On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation ACL 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021 Understanding Instance-based Interpretability of Variational Auto-Encoders NeurIPS 2021 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020 Efficient Estimation of Influence of a Training Instance EMNLP 2020 Estimating Training Data Influence by Tracing Gradient Descent NeurIPS 2020 Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL 2020 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020 Interpreting Predictions of NLP Models EMNLP 2020 Interpreting Twitter User Geolocation ACL 2020 Learning Augmentation Network via Influence Functions CVPR 2020 Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020 Multi-Stage Influence Function NeurIPS 2020 Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NeurIPS 2020 On Second-Order Group Influence Functions for Black-Box Predictions ICML 2020 RelatIF: Identifying Explanatory Training Samples via Relative Influence AISTATS 2020 Data Cleansing for Models Trained with SGD NeurIPS 2019 First order expansion of convex regularized estimators NeurIPS 2019 Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019