conftrace_

local explanation

42 papers

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Co-occurring keywords

model interpretability (519) feature attribution (280) explainable ai (480) model explanation (155) black-box model (90) global explanation (12) decision tree (322) surrogate model (181) counterfactual explanation (139) neural network (6616)

Papers

Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property IJCAI 2025
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques AAAI 2025
Tackling the XAI Disagreement Problem with Regional Explanations AISTATS 2024
Auditing Local Explanations is Hard NIPS 2024
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories IJCAI 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation CLEAR 2024
Accelerating the Global Aggregation of Local Explanations AAAI 2024
Local Interpretation of Transformer Based on Linear Decomposition ACL 2023
The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023
Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk MLHC 2023
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning NIPS 2023
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract) IJCAI 2023
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract) IJCAI 2022
Framework for Evaluating Faithfulness of Local Explanations ICML 2022
ExSum: From Local Explanations to Model Understanding NAACL 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability COLING 2022
NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights AAAI 2022
Surrogate Model-Based Explainability Methods for Point Cloud NNs WACV 2022
Extending Logic Explained Networks to Text Classification EMNLP 2022
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor NIPS 2022
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations NIPS 2022