model interpretability

PromptExplainer: Explaining Language Models through Prompt-based Learning EACL 2024 ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition IJCAI 2024 Pruning neural network models for gene regulatory dynamics using data and domain knowledge NeurIPS 2024 Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024 Refusal in Language Models Is Mediated by a Single Direction NeurIPS 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 Scaling White-Box Transformers for Vision NeurIPS 2024 Selective Explanations NeurIPS 2024 SemLa: A Visual Analysis System for Fine-Grained Text Classification AAAI 2024 shapiq: Shapley Interactions for Machine Learning NeurIPS 2024 Sparse and Faithful Explanations Without Sparse Models AISTATS 2024 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024 Towards Transparent Time Series Forecasting ICLR 2024 Towards Trustworthy Deep Learning AAAI 2024 UMB: Understanding Model Behavior for Open-World Object Detection NeurIPS 2024 Uncovering Syllable Constituents in the Self-Attention-Based Speech Representations of Whisper EMNLP 2024 UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NeurIPS 2024 XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation COLING 2024 A Closer Look at the Intervention Procedure of Concept Bottleneck Models ICML 2023