Beery, Sara

Perspectives in machine learning for wildlife conservation

Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., et al. (2022) · Nature Communications

Wildlife Ecology and ConservationSpecies Distribution and Climate Change

Cited by 740

Recognition in Terra Incognita

Beery, S., Van Horn, G., & Perona, P. (2018) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 679

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 518

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

Beery, S., Wu, G., Rathod, V., Votel, R., & Huang, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 140

Synthetic Examples Improve Generalization for Rare Classes

Beery, S., Liu, Y., Morris, D., Piavis, J., Kapoor, A., Meister, M., Joshi, N., & Perona, P. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 103

Species Distribution Modeling for Machine Learning Practitioners: A Review

Beery, S., Cole, E., Parker, J., Perona, P., & Winner, K. (2021) · ACM SIGCAS Conference on Computing and Sustainable Societies

Species Distribution and Climate ChangeWildlife Ecology and Conservation

Cited by 100

Do Large Language Model Benchmarks Test Reliability?

Vendrow, J., Vendrow, E., Beery, S., & Madry, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1