Interpretability

Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract) AAAI 2022 Identifying the Human Values behind Arguments ACL 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 If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness UAI 2022 IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation EMNLP 2022 IMPARA: Impact-Based Metric for GEC Using Parallel Data COLING 2022 Implications of Model Indeterminacy for Explanations of Automated Decisions NeurIPS 2022 Implicit n-grams Induced by Recurrence NAACL 2022 Improved feature importance computation for tree models based on the Banzhaf value UAI 2022 Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images ICML 2022 Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022 Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022 Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings MIDL 2022 Improving Factual Consistency in Summarization with Compression-Based Post-Editing EMNLP 2022 Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors ACL 2022 Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection EMNLP 2022 Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop EMNLP 2022 Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion EMNLP 2022 Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022 Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards EMNLP 2022 “I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset EMNLP 2022 Incorporating Centering Theory into Neural Coreference Resolution NAACL 2022 Incremental Processing of Principle B: Mismatches Between Neural Models and Humans CoNLL 2022 Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models EMNLP 2022