explainable ai

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI AAAI 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 OCTET: Object-Aware Counterfactual Explanations CVPR 2023 On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NeurIPS 2023 On Translations between ML Models for XAI Purposes IJCAI 2023 Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection ACL 2023 PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability AAAI 2023 PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction SemEval 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023 Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond JMLR 2023 Rather a Nurse than a Physician - Contrastive Explanations under Investigation EMNLP 2023 REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction CoRL 2023 Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes MLHC 2023 ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks IJCAI 2023 Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection ACL 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 SHAP-IQ: Unified Approximation of any-order Shapley Interactions NeurIPS 2023 Shapley Based Residual Decomposition for Instance Analysis ICML 2023 Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe AAAI 2023 The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes NeurIPS 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023 Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023 Towards Interpretable Mental Health Analysis with Large Language Models EMNLP 2023