shapley value

shapiq: Shapley Interactions for Machine Learning NeurIPS 2024 Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition IJCAI 2024 SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning NeurIPS 2024 STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024 SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024 SyntaxShap: Syntax-aware Explainability Method for Text Generation ACL 2024 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation EMNLP 2024 Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024 WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts CVPR 2024 2D-Shapley: A Framework for Fragmented Data Valuation ICML 2023 Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm ICML 2023 Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value EMNLP 2023 A Unifying Formal Approach to Importance Values in Boolean Functions IJCAI 2023 Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? ICLR 2023 Collaborative Causal Inference with Fair Incentives ICML 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023 Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values ACL 2023 Deletion and Insertion Tests in Regression Models JMLR 2023 Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation AISTATS 2023 Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023 Explaining Predictive Uncertainty with Information Theoretic Shapley Values NeurIPS 2023 Explaining Reinforcement Learning with Shapley Values ICML 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023