conftrace_

explainable ai

480 papers

Explore in graph

Co-occurring keywords

feature attribution (280) explainable artificial intelligence (130) large language model (13587) model interpretability (519) text classification (6793) counterfactual explanation (139) neural network (6616) shapley value (206) graph neural network (3962) saliency map (125)

Papers

Explainability in Autonomous Pedagogical Agents AAAI 2020
PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media EMNLP 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020
Generating Natural Counterfactual Visual Explanations IJCAI 2020
XplaiNLI: Explainable Natural Language Inference through Visual Analytics COLING 2020
Explanation Perspectives from the Cognitive Sciences---A Survey IJCAI 2020
Understanding Alzheimer disease’s structural connectivity through explainable AI MIDL 2020
Explainable Automated Fact-Checking for Public Health Claims EMNLP 2020
Explainable Voting NIPS 2020
Feature Importance Ranking for Deep Learning NIPS 2020
Feature relevance quantification in explainable AI: A causal problem AISTATS 2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models JMLR 2020
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020
Explainable Agency in Reinforcement Learning Agents AAAI 2020
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020
Explaining Groups of Points in Low-Dimensional Representations ICML 2020
Logical Explanations for Deep Relational Machines Using Relevance Information JMLR 2019
Explainable and Explicit Visual Reasoning Over Scene Graphs CVPR 2019
Deliberative Explanations: visualizing network insecurities NIPS 2019
Meaningful Explanations of Black Box AI Decision Systems AAAI 2019
Multimodal Explanations by Predicting Counterfactuality in Videos CVPR 2019
Do Human Rationales Improve Machine Explanations? ACL 2019
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI IJCAI 2019