Interpretability

Bias Analysis and Mitigation in the Evaluation of Authorship Verification ACL 2019 Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers ICLR 2019 Biologically-Constrained Graphs for Global Connectomics Reconstruction CVPR 2019 Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019 Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains ACL 2019 Bridging Machine Learning and Logical Reasoning by Abductive Learning NeurIPS 2019 Building Human-Machine Trust via Interpretability AAAI 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Can Neural Networks Understand Monotonicity Reasoning? ACL 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Characterizing Audio Adversarial Examples Using Temporal Dependency ICLR 2019 Charge-Based Prison Term Prediction with Deep Gating Network EMNLP 2019 Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components NeurIPS 2019 Classifier-Agnostic Saliency Map Extraction AAAI 2019 CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions CVPR 2019 CNM: An Interpretable Complex-valued Network for Matching NAACL 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019 Combined Reinforcement Learning via Abstract Representations AAAI 2019 Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots RSS 2019 Compiling Bayesian Network Classifiers into Decision Graphs AAAI 2019 Computing Argumentative Explanations in Bipolar Argumentation Frameworks AAAI 2019 Computing Linear Restrictions of Neural Networks NeurIPS 2019 Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019 Conformalized Quantile Regression NeurIPS 2019 Cooperative Learning of Disjoint Syntax and Semantics NAACL 2019