Interpretability

Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021 Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021 A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection CVPR 2021 ACRE: Abstract Causal REasoning Beyond Covariation CVPR 2021 Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies IJCAI 2021 Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge NAACL 2021 Adaptive wavelet distillation from neural networks through interpretations NeurIPS 2021 Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples WACV 2021 Adversarial Learning for Discourse Rhetorical Structure Parsing ACL 2021 Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach NeurIPS 2021 A Framework to Learn with Interpretation NeurIPS 2021 A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NeurIPS 2021 Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output CoNLL 2021 A howling success or a working sea? Testing what BERT knows about metaphors EMNLP 2021 A Hybrid Probabilistic Approach for Table Understanding AAAI 2021 A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature EMNLP 2021 A Learning Theoretic Perspective on Local Explainability ICLR 2021 Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021 Aligning Artificial Neural Networks and Ontologies towards Explainable AI AAAI 2021 Alignment Rationale for Natural Language Inference ACL 2021 ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality EMNLP 2021 All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text ACL 2021 A mechanistic multi-area recurrent network model of decision-making NeurIPS 2021 Analogical Proportions: Why They Are Useful in AI IJCAI 2021