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Interpretability

7,318 papers

Papers per year

Papers

Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables ICML 2023
Causal Proxy Models for Concept-based Model Explanations ICML 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation ICML 2023
Relevant Walk Search for Explaining Graph Neural Networks ICML 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023
Change is Hard: A Closer Look at Subpopulation Shift ICML 2023
Towards Trustworthy Explanation: On Causal Rationalization ICML 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries IJCAI 2023
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting IJCAI 2023
Negative Flux Aggregation to Estimate Feature Attributions IJCAI 2023
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023
ViT-CX: Causal Explanation of Vision Transformers IJCAI 2023
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition IJCAI 2023
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection IJCAI 2023
Sketch Recognition via Part-based Hierarchical Analogical Learning IJCAI 2023
Leveraging Argumentation for Generating Robust Sample-based Explanations IJCAI 2023
On Translations between ML Models for XAI Purposes IJCAI 2023
The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023
A Comparative Study of Ranking Formulas Based on Consistency IJCAI 2023
On the Paradox of Learning to Reason from Data IJCAI 2023
Enhancing Datalog Reasoning with Hypertree Decompositions IJCAI 2023
Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks IJCAI 2023