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Interpretability

7318 directly classified papers

Papers per year

Papers

Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making IJCNLP 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification IJCNLP 2021
On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation ICCV 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021
Practical Relative Order Attack in Deep Ranking ICCV 2021
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021
Banach Space Representer Theorems for Neural Networks and Ridge Splines JMLR 2021
Verification and Repair of Neural Networks AAAI 2021
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract) AAAI 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations CVPR 2021
Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing EMNLP 2021
Controlled tasks for model analysis: Retrieving discrete information from sequences EMNLP 2021
The Acceptability Delta Criterion: Testing Knowledge of Language using the Gradience of Sentence Acceptability EMNLP 2021
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks EMNLP 2021
Do Language Models Know the Way to Rome? EMNLP 2021
Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021
What Makes a Scientific Paper be Accepted for Publication? EMNLP 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
Where and What? Examining Interpretable Disentangled Representations CVPR 2021
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021
Interpreting and Disentangling Feature Components of Various Complexity from DNNs ICML 2021
Interacting with Explanations through Critiquing IJCAI 2021
Reasoning-Based Learning of Interpretable ML Models IJCAI 2021