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interpretable machine learning

139 papers

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Also known as

XAI IML

Co-occurring keywords

interpretable model (158) decision tree (322) concept bottleneck model (41) neural network (6616) explainable ai (478) model interpretability (510) image classification (1943) concept bottleneck (29) text classification (6776) model explanation (154)

Papers

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS 2021
Reasoning-Based Learning of Interpretable ML Models IJCAI 2021
TabNet: Attentive Interpretable Tabular Learning AAAI 2021
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NIPS 2021
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance IJCAI 2021
A Framework to Learn with Interpretation NIPS 2021
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots NIPS 2021
Connecting Interpretability and Robustness in Decision Trees through Separation ICML 2021
LISAC FSDM USMBA at SemEval-2021 Task 5: Tackling Toxic Spans Detection Challenge with Supervised SpanBERT-based Model and Unsupervised LIME-based Model ACL 2021
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021
Explainable Models with Consistent Interpretations AAAI 2021
Neural Additive Models: Interpretable Machine Learning with Neural Nets NIPS 2021
Adversarial Dynamic Shapelet Networks AAAI 2020
Turning 30: New Ideas in Inductive Logic Programming IJCAI 2020
Concept Bottleneck Models ICML 2020
Explaining Groups of Points in Low-Dimensional Representations ICML 2020
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health IJCAI 2020
Synthesizing Action Sequences for Modifying Model Decisions AAAI 2020
ProtoAttend: Attention-Based Prototypical Learning JMLR 2020
Where to Submit? Helping Researchers to Choose the Right Venue EMNLP 2020
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules CVPR 2020
Regularizing Black-box Models for Improved Interpretability NIPS 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL 2020