Interpretability

Red Teaming Deep Neural Networks with Feature Synthesis Tools NeurIPS 2023 Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision MLHC 2023 Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models EMNLP 2023 ReEnFP: Detail-Preserving Face Reconstruction by Encoding Facial Priors WACV 2023 REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization CoNLL 2023 REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction CoRL 2023 Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes MLHC 2023 Reinforced Disentanglement for Face Swapping without Skip Connection ICCV 2023 Relevant Walk Search for Explaining Graph Neural Networks ICML 2023 Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023 Reliable and Interpretable Drift Detection in Streams of Short Texts ACL 2023 Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023 ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks IJCAI 2023 Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models EMNLP 2023 Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale ACL 2023 REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023 Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing CoNLL 2023 Revisiting Pathologies of Neural Models under Input Reduction ACL 2023 Revisiting Robustness in Graph Machine Learning ICLR 2023 Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View NeurIPS 2023 RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering ACL 2023 Rigorously Assessing Natural Language Explanations of Neurons EMNLP 2023