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Interpretability

7318 directly classified papers

Papers per year

Papers

Transparent Intent for Explainable Shared Control in Assistive Robotics IJCAI 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020
Formalizing Group and Propagated Trust in Multi-Agent Systems IJCAI 2020
Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020
PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays IJCAI 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training MIDL 2020
Understanding Alzheimer disease’s structural connectivity through explainable AI MIDL 2020
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks MIDL 2020
PathologyGAN: Learning deep representations of cancer tissue MIDL 2020
A Survey of the State of Explainable AI for Natural Language Processing AACL 2020
Learning Code Changes by Exploiting Bidirectional Converting Deviation ACML 2020
Verifying Individual Fairness in Machine Learning Models UAI 2020
Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020
Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020
Towards Explainable Conversational Recommendation IJCAI 2020
Learning Interpretable Models in the Property Specification Language IJCAI 2020
Deductive Module Extraction for Expressive Description Logics IJCAI 2020
Confidence-Aware Learning for Deep Neural Networks ICML 2020
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning AAAI 2020
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020
Explainable Reinforcement Learning through a Causal Lens AAAI 2020
Reasoning on Knowledge Graphs with Debate Dynamics AAAI 2020
Explainable Agency in Reinforcement Learning Agents AAAI 2020