Dave, Achal

Measuring Robustness to Natural Distribution Shifts in Image Classification

Taori, R., Dave, A., Shankar, V., Carlini, N., Recht, B., & Schmidt, L. (2020) · arXiv

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 206

Do Image Classifiers Generalize Across Time?

Shankar, V., Dave, A., Roelofs, R., Ramanan, D., Recht, B., & Schmidt, L. (2019) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 37

Detecting clinical medication errors with AI enabled wearable cameras

Chan, J., Nsumba, S., Wortsman, M., Dave, A., Schmidt, L., Gollakota, S., & Michaelsen, K. (2024) · npj Digital Medicine

Patient Safety and Medication ErrorsArtificial Intelligence in Healthcare and Education

Cited by 18

Language models scale reliably with over-training and on downstream tasks

Gadre, S. Y., Smyrnis, G., Shankar, V., Gururangan, S., Wortsman, M., Shao, R., Mercat, J., Fang, A., Li, J., Keh, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1