Co-occurring keywords · papers mentioning both
Papers
Interpreting Attributions and Interactions of Adversarial Attacks
ICCV 2021
Interpreting Multivariate Shapley Interactions in DNNs
AAAI 2021
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling
AAAI 2021
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games
AAAI 2021
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
NeurIPS 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
ICML 2021
Online Class-Incremental Continual Learning with Adversarial Shapley Value
AAAI 2021
On Locality of Local Explanation Models
NeurIPS 2021
Responsibility Attribution in Parameterized Markovian Models
AAAI 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR 2021
Shapley explainability on the data manifold
ICLR 2021
Shapley Explanation Networks
ICLR 2021
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
AISTATS 2021
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
NeurIPS 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
EMNLP 2021
The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits
AAAI 2021
Vitality Indices are Equivalent to Induced Game-Theoretic Centralities
IJCAI 2021
A Distributional Framework For Data Valuation
ICML 2020
A Game Theoretic Approach For Core Resilience
IJCAI 2020
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
NeurIPS 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards
ICML 2020
Complexity of Computing the Shapley Value in Games with Externalities
AAAI 2020
Convexity of b-matching Games
IJCAI 2020
Efficient nonparametric statistical inference on population feature importance using Shapley values
ICML 2020
Evaluating and Aggregating Feature-based Model Explanations
IJCAI 2020