model interpretability

Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Scaling Up Influence Functions AAAI 2022 Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis ICLR 2022 Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement IJCAI 2022 That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data EMNLP 2022 The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers IJCAI 2022 Towards Tracing Knowledge in Language Models Back to the Training Data EMNLP 2022 Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space EMNLP 2022 Transformers from an Optimization Perspective NeurIPS 2022 Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022 Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation EMNLP 2022 VisCUIT: Visual Auditor for Bias in CNN Image Classifier CVPR 2022 What You See is What You Classify: Black Box Attributions NeurIPS 2022 Alignment Rationale for Natural Language Inference ACL 2021 A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation AAAI 2021 Attention Flows are Shapley Value Explanations ACL 2021 Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example AAAI 2021 Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers EMNLP 2021 Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021 Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks NeurIPS 2021 Contrastive Explanations for Model Interpretability EMNLP 2021 Counterfactual Explanations Can Be Manipulated NeurIPS 2021 Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021 dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python JMLR 2021