Interpretability
512 papers
Papers per year
1
1
1
3
4
5
17
35
65
68
95
69
73
70
5
'15
'20
'25
Papers
Are representations built from the ground up? An empirical examination of local composition in language models
EMNLP 2022
A survey on improving NLP models with human explanations
ACL 2022
AttCAT: Explaining Transformers via Attentive Class Activation Tokens
NeurIPS 2022
B-Cos Networks: Alignment Is All We Need for Interpretability
CVPR 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
NeurIPS 2022
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations
EMNLP 2022
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
EMNLP 2022
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
NeurIPS 2022
Constraint-Driven Explanations for Black-Box ML Models
AAAI 2022
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees
AISTATS 2022
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting
AAAI 2022
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
NeurIPS 2022
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
CVPR 2022
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network
NeurIPS 2022
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation
ACL 2022
Does BERT Know that the IS-A Relation Is Transitive?
ACL 2022
Do Explanations Explain? Model Knows Best
CVPR 2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
D-REX: Dialogue Relation Extraction with Explanations
ACL 2022
Entropy-Based Logic Explanations of Neural Networks
AAAI 2022
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory
AAAI 2022
Explainable Planner Selection for Classical Planning
AAAI 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
AAAI 2022
Explaining Deep Tractable Probabilistic Models: The sum-product network case
PGM 2022
Explaining Preferences with Shapley Values
NeurIPS 2022