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Interpretability

7,318 papers

Papers per year

Papers

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks AAAI 2021
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering AAAI 2021
Multi-Dimensional Explanation of Target Variables from Documents AAAI 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision AAAI 2021
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer AAAI 2021
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines AAAI 2021
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT AAAI 2021
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration AAAI 2021
Exploring Explainable Selection to Control Abstractive Summarization AAAI 2021
Evidence Inference Networks for Interpretable Claim Verification AAAI 2021
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis AAAI 2021
Building Interpretable Interaction Trees for Deep NLP Models AAAI 2021
K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management AAAI 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection AAAI 2021
Thinking Fast and Slow in AI AAAI 2021
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021
Creating Interpretable Data-Driven Approaches for Remote Health Monitoring AAAI 2021
Verification and Repair of Neural Networks AAAI 2021
Responsible Prediction Making of COVID-19 Mortality (Student Abstract) AAAI 2021
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract) AAAI 2021
Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract) AAAI 2021
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract) AAAI 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021