Caruana, Rich

Multitask Learning

Caruana, R. (1997) · Machine Learning

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 6,636

An empirical comparison of supervised learning algorithms

Caruana, R., & Niculescu-Mizil, A. (2006) · Proceedings of the 23rd international conference on Machine learning - ICML '06

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 2,780

Model compression

Buciluǎ, C., Caruana, R., & Niculescu-Mizil, A. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 2,068

Predicting good probabilities with supervised learning

Niculescu-Mizil, A., & Caruana, R. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05

Imbalanced Data Classification TechniquesMachine Learning and Algorithms

Cited by 1,884

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Caruana, R., Lou, Y., Gehrke, J., Koch, P., Sturm, M., & Elhadad, N. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 1,685

Multitask Learning

Caruana, R. (1998) · Learning to Learn

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 577

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

Kaur, H., Nori, H., Jenkins, S., Caruana, R., Wallach, H., & Wortman Vaughan, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 564

Accurate intelligible models with pairwise interactions

Lou, Y., Caruana, R., Gehrke, J., & Hooker, G. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Explainable Artificial Intelligence (XAI)Statistical Methods and Applications

Cited by 564

Intelligible models for classification and regression

Lou, Y., Caruana, R., & Gehrke, J. (2012) · Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

Explainable Artificial Intelligence (XAI)Statistical Methods and Applications

Cited by 547

InterpretML: A Unified Framework for Machine Learning Interpretability

Nori, H., Jenkins, S., Koch, P., & Caruana, R. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 322

How Interpretable and Trustworthy are GAMs?

Chang, C.-H., Tan, S., Lengerich, B., Goldenberg, A., & Caruana, R. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 66

Augmenting interpretable models with large language models during training

Singh, C., Askari, A., Caruana, R., & Gao, J. (2023) · Nature Communications

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 63

Rethinking Interpretability in the Era of Large Language Models

Singh, C., Inala, J. P., Galley, M., Caruana, R., & Gao, J. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 50

Interpretable & Explorable Approximations of Black Box Models

Lakkaraju, H., Kamar, E., Caruana, R., & Leskovec, J. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 23