Raghu, Maithra

Do Vision Transformers See Like Convolutional Neural Networks?

Raghu, M., Unterthiner, T., Kornblith, S., Zhang, C., & Dosovitskiy, A. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 663

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

Raghu, M., Gilmer, J., Yosinski, J., & Sohl-Dickstein, J. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 335

Insights on representational similarity in neural networks with canonical correlation

Morcos, A. S., Raghu, M., & Bengio, S. (2018) · arXiv

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 171

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Nguyen, T., Raghu, M., & Kornblith, S. (2020) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 112

Direct Uncertainty Prediction for Medical Second Opinions

Raghu, M., Blumer, K., Sayres, R., Obermeyer, Z., Kleinberg, R., Mullainathan, S., & Kleinberg, J. (2018) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 93

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort

Raghu, M., Blumer, K., Corrado, G., Kleinberg, J., Obermeyer, Z., & Mullainathan, S. (2019) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 58