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model explainability

50 papers

Papers

Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023 Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023 Rethinking the Visual Cues in Audio-Visual Speaker Extraction Interspeech 2023 Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023 TransHP: Image Classification with Hierarchical Prompting NeurIPS 2023 UKP-SQuARE: An Interactive Tool for Teaching Question Answering ACL 2023 Using Captum to Explain Generative Language Models EMNLP 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs NeurIPS 2023 Visually Explaining 3D-CNN Predictions for Video Classification With an Adaptive Occlusion Sensitivity Analysis WACV 2023 Adversarial Sample Generation for Aspect based Sentiment Classification AACL 2022 CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks AISTATS 2022 Cross-Loss Influence Functions to Explain Deep Network Representations AISTATS 2022 Explaining Models of Mental Health via Clinically Grounded Auxiliary Tasks NAACL 2022 Rethinking Attention-Model Explainability through Faithfulness Violation Test ICML 2022 The Shapley Value in Machine Learning IJCAI 2022 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021 Description-based Label Attention Classifier for Explainable ICD-9 Classification EMNLP 2021 GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021 Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers ICCV 2021 Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021 Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021 Is Sparse Attention more Interpretable? ACL 2021 Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability NeurIPS 2020 Multidimensional Shape Constraints ICML 2020 Relation Extraction with Explanation ACL 2020