Co-occurring keywords · papers mentioning both
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