Skip to content
conftrace_

Interpretability

8,292 papers

5
14
512
2,137
'10
'15
'20
'25

Papers

Generating Attribution Maps With Disentangled Masked Backpropagation ICCV 2021 Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021 Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NeurIPS 2021 Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021 Generating Realistic Natural Language Counterfactuals EMNLP 2021 Generative Causal Explanations for Graph Neural Networks ICML 2021 Generative Classifiers as a Basis for Trustworthy Image Classification CVPR 2021 Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers ICCV 2021 GHOST at SemEval-2021 Task 5: Is explanation all you need? SemEval 2021 Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021 Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors EMNLP 2021 Global explanations with decision rules: a co-learning approach UAI 2021 Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation ACL 2021 Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition AAAI 2021 Grey-box Adversarial Attack And Defence For Sentiment Classification NAACL 2021 Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021 Guided Visual Exploration of Relations in Data Sets JMLR 2021 HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training SemEval 2021 HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection AAAI 2021 Have Attention Heads in BERT Learned Constituency Grammar? EACL 2021 Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS 2021 Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds ICLR 2021 HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract) AAAI 2021 Hierarchical Encoders for Modeling and Interpreting Screenplays NAACL 2021 Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis NAACL 2021