Interpretability

Exploring the Latent Space of Autoencoders with Interventional Assays NeurIPS 2022 Extending Logic Explained Networks to Text Classification EMNLP 2022 Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model AAAI 2022 Finding Dataset Shortcuts with Grammar Induction EMNLP 2022 Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022 First is Better Than Last for Language Data Influence NeurIPS 2022 FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles AAAI 2022 Fuzzy Learning Machine NeurIPS 2022 HINT: Hierarchical Neuron Concept Explainer CVPR 2022 How to Find a Good Explanation for Clustering? AAAI 2022 How (Un)Faithful is Attention? EMNLP 2022 Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation EMNLP 2022 Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification EMNLP 2022 If Influence Functions are the Answer, Then What is the Question? NeurIPS 2022 Influence Functions for Sequence Tagging Models EMNLP 2022 Interpretable Generative Adversarial Networks AAAI 2022 Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking ACL 2022 Interpreting Language Models with Contrastive Explanations EMNLP 2022 Introspective Learning : A Two-Stage approach for Inference in Neural Networks NeurIPS 2022 Learning Recourse on Instance Environment to Enhance Prediction Accuracy NeurIPS 2022 Let the CAT out of the bag: Contrastive Attributed explanations for Text EMNLP 2022 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022 Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF NeurIPS 2022 Logic Traps in Evaluating Attribution Scores ACL 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022