model interpretation

Scaling Up Influence Functions AAAI 2022 TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion AAAI 2022 WeightedSHAP: analyzing and improving Shapley based feature attributions NeurIPS 2022 Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021 Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution ACL 2021 Explaining Contextualization in Language Models using Visual Analytics ACL 2021 Explaining Deep Neural Network Models with Adversarial Gradient Integration IJCAI 2021 Explaining Time Series Predictions with Dynamic Masks ICML 2021 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021 Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression AISTATS 2021 Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking ICLR 2021 Local Explanation of Dialogue Response Generation NeurIPS 2021 Self-Interpretable Model with Transformation Equivariant Interpretation NeurIPS 2021 Statistically Consistent Saliency Estimation ICCV 2021 T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP EMNLP 2021 Attribution Preservation in Network Compression for Reliable Network Interpretation NeurIPS 2020 exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models ACL 2020 Interpretation of NLP models through input marginalization EMNLP 2020 Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns AAAI 2020 Interpreting Twitter User Geolocation ACL 2020 LS-Tree: Model Interpretation When the Data Are Linguistic AAAI 2020 Modularized Transfomer-based Ranking Framework EMNLP 2020 Multi-Stage Influence Function NeurIPS 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 The Shapley Taylor Interaction Index ICML 2020