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Interpretability

349 directly classified papers

Papers per year

Papers

Interpreting Neural CWI Classifiers’ Weights as Vocabulary Size ACL 2020
Interpretability and Analysis in Neural NLP ACL 2020
Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition ACL 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL 2020
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition ACL 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? ACL 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? ACL 2020
Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract) AAAI 2020
Probing Natural Language Inference Models through Semantic Fragments AAAI 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization AAAI 2020
Sanity Checks for Saliency Metrics AAAI 2020
DNNs as Layers of Cooperating Classifiers AAAI 2020
Explainable Data Decompositions AAAI 2020
LS-Tree: Model Interpretation When the Data Are Linguistic AAAI 2020
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability AAAI 2020
Efficient Estimation of Influence of a Training Instance EMNLP 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains EMNLP 2020
Probing Pretrained Language Models for Lexical Semantics EMNLP 2020
Understanding Neural Abstractive Summarization Models via Uncertainty EMNLP 2020
Are “Undocumented Workers” the Same as “Illegal Aliens”? Disentangling Denotation and Connotation in Vector Spaces EMNLP 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020
Correlating Neural and Symbolic Representations of Language ACL 2019
Explainability Methods for Graph Convolutional Neural Networks CVPR 2019