conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
explainable ai
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
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning
ACL 2023
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
NIPS 2023
Computing Abductive Explanations for Boosted Trees
AISTATS 2023
Towards Interpretable Mental Health Analysis with Large Language Models
EMNLP 2023
Fractual Projection Forest: Fast and Explainable Point Cloud Classifier
WACV 2023
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
AISTATS 2023
PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction
ACL 2023
On Translations between ML Models for XAI Purposes
IJCAI 2023
Leveraging Argumentation for Generating Robust Sample-based Explanations
IJCAI 2023
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
IJCAI 2023
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
ACL 2023
Lexicools at SemEval-2023 Task 10: Sexism Lexicon Construction via XAI
ACL 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
ACML 2023
Rather a Nurse than a Physician - Contrastive Explanations under Investigation
EMNLP 2023
VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights
EMNLP 2023
Unsupervised argument reframing with a counterfactual-based approach
EMNLP 2023
Very Fast, Approximate Counterfactual Explanations for Decision Forests
AAAI 2023
ExASAG: Explainable Framework for Automatic Short Answer Grading
ACL 2023
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
ACL 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
ICML 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP
ACL 2023
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
IJCAI 2023
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI
AAAI 2023
ferret: a Framework for Benchmarking Explainers on Transformers
EACL 2023
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
AAAI 2023
<
1
…
9
10
11
…
20
>