shapley value

SHAP-Based Explanation Methods: A Review for NLP Interpretability COLING 2022 SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities IJCAI 2022 Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search CVPR 2022 The Shapley Value in Machine Learning IJCAI 2022 Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations AISTATS 2022 Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction IJCAI 2022 Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning NeurIPS 2022 Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four ICML 2022 Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022 WeightedSHAP: analyzing and improving Shapley based feature attributions NeurIPS 2022 You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction ICLR 2022 Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling IJCAI 2021 Attention Flows are Shapley Value Explanations ACL 2021 Attention vs non-attention for a Shapley-based explanation method NAACL 2021 Building Interpretable Interaction Trees for Deep NLP Models AAAI 2021 Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling IJCAI 2021 Efficient Computation and Analysis of Distributional Shapley Values AISTATS 2021 Evaluating the Values of Sources in Transfer Learning NAACL 2021 Flow-based Attribution in Graphical Models: A Recursive Shapley Approach ICML 2021 From global to local MDI variable importances for random forests and when they are Shapley values NeurIPS 2021 Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021 Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index NAACL 2021 HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations ACL 2021 If You Like Shapley Then You’ll Love the Core AAAI 2021 Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression AISTATS 2021