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Interpretability
7318 directly classified papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
Automatic Correction of Internal Units in Generative Neural Networks
CVPR 2021
Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar
NAACL 2021
On the price of explainability for some clustering problems
ICML 2021
Connecting Interpretability and Robustness in Decision Trees through Separation
ICML 2021
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
AAAI 2021
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
ICML 2021
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
ICML 2021
DANCE: Enhancing saliency maps using decoys
ICML 2021
Disentangling syntax and semantics in the brain with deep networks
ICML 2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
ICML 2021
Explainable Automated Graph Representation Learning with Hyperparameter Importance
ICML 2021
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders
AAAI 2021
User Driven Model Adjustment via Boolean Rule Explanations
AAAI 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
AAAI 2021
Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract)
AAAI 2021
Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation
EMNLP 2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
EMNLP 2021
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
EMNLP 2021
What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models
EMNLP 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
EMNLP 2021
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica
EMNLP 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
IJCAI 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
IJCAI 2021
On Guaranteed Optimal Robust Explanations for NLP Models
IJCAI 2021
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