Finding areas of motion in camera trap images. - Agnieszka C. Miguel; Sara Beery; Erica Flores; Loren Klemesrud; Rana Bayrakcismith (ICIP, 2016)

Recognition in Terra Incognita. - Sara Beery; Grant Van Horn; Pietro Perona (ECCV (16), 2018)

Synthetic Examples Improve Generalization for Rare Classes. - Sara Beery; Yang Liu; Dan Morris 001; Jim Piavis; Ashish Kapoor; Markus Meister; Pietro Perona (CoRR, 2019)

The iWildCam 2018 Challenge Dataset. - Sara Beery; Grant Van Horn; Oisin Mac Aodha; Pietro Perona (CoRR, 2019)

Efficient Pipeline for Camera Trap Image Review. - Sara Beery; Dan Morris 001; Siyu Yang (CoRR, 2019)

The iWildCam 2019 Challenge Dataset. - Sara Beery; Dan Morris 001; Pietro Perona (CoRR, 2019)

A deep active learning system for species identification and counting in camera trap images. - Mohammad Sadegh Norouzzadeh; Dan Morris 001; Sara Beery; Neel Joshi; Nebojsa Jojic; Jeff Clune (CoRR, 2019)

Long Term Temporal Context for Per-Camera Object Detection. - Sara Beery; Guanhang Wu; Vivek Rathod; Ronny Votel; Jonathan Huang (CoRR, 2019)

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. - Sara Beery; Guanhang Wu; Vivek Rathod; Ronny Votel; Jonathan Huang (CVPR, 2020)

Synthetic Examples Improve Generalization for Rare Classes. - Sara Beery; Yang Liu; Dan Morris 001; Jim Piavis; Ashish Kapoor; Markus Meister; Neel Joshi; Pietro Perona (WACV, 2020)

The iWildCam 2020 Competition Dataset. - Sara Beery; Elijah Cole; Arvi Gjoka (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Sara Beery; Jure Leskovec; Anshul Kundaje; et al. (CoRR, 2020)

Benchmarking Representation Learning for Natural World Image Collections. - Grant Van Horn; Elijah Cole; Sara Beery; Kimberly Wilber; Serge J. Belongie; Oisin Mac Aodha (CVPR, 2021)

Species Distribution Modeling for Machine Learning Practitioners: A Review. - Sara Beery; Elijah Cole; Joseph Parker; Pietro Perona; Kevin Winner (COMPASS, 2021)

ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification. - Peter Kulits; Jake Wall; Anka Bedetti; Michelle Henley; Sara Beery (COMPASS, 2021)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

The iWildCam 2021 Competition Dataset. - Sara Beery; Arushi Agarwal; Elijah Cole; Vighnesh Birodkar (CoRR, 2021)

Can poachers find animals from public camera trap images? - Sara Beery; Elizabeth Bondi (CoRR, 2021)

Image-to-Image Translation of Synthetic Samples for Rare Classes. - Edoardo Lanzini; Sara Beery (CoRR, 2021)

Domain Adaptation for Rare Classes Augmented with Synthetic Samples. - Tuhin Das; Robert-Jan Bruintjes; Attila Lengyel 001; Jan van Gemert; Sara Beery (CoRR, 2021)

Seeing biodiversity: perspectives in machine learning for wildlife conservation. - Devis Tuia; Benjamin Kellenberger; Sara Beery; Blair R. Costelloe; Silvia Zuffi; Benjamin Risse; Alexander Mathis; Mackenzie W. Mathis; Frank van Langevelde; Tilo Burghardt; Roland Kays; Holger Klinck; et al. (CoRR, 2021)

Scaling biodiversity monitoring for the data age. - Sara Beery (XRDS, 2021)

The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift. - Sara Beery; Guanhang Wu; Trevor Edwards; Filip Pavetic; Bo Majewski; Shreyasee Mukherjee; Stanley Chan; John Morgan; Vivek Rathod; Jonathan Huang (CVPR, 2022)

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. - Justin Kay; Peter Kulits; Suzanne Stathatos; Siqi Deng; Erik Young; Sara Beery; Grant Van Horn; Pietro Perona (ECCV (8), 2022)

Extending the WILDS Benchmark for Unsupervised Adaptation. - Shiori Sagawa; Pang Wei Koh; Tony Lee; Irena Gao; Sang Michael Xie; Kendrick Shen; Ananya Kumar; Weihua Hu; Michihiro Yasunaga; Henrik Marklund; Sara Beery; Etienne David; et al. (ICLR, 2022)

MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding. - Jun Chen 021; Ming Hu; Darren J. Coker; Michael L. Berumen; Blair R. Costelloe; Sara Beery; Anna Rohrbach; Mohamed Elhoseiny (CVPR, 2023)

Teaching Computer Vision for Ecology. - Elijah Cole; Suzanne Stathatos; Björn Lütjens; Tarun Sharma; Justin Kay; Jason R. Parham; Benjamin Kellenberger; Sara Beery (CoRR, 2023)

Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression. - Denis Kuznedelev; Soroush Tabesh; Kimia Noorbakhsh; Elias Frantar; Sara Beery; Eldar Kurtic; Dan Alistarh (CoRR, 2023)

Reflections from the Workshop on AI-Assisted Decision Making for Conservation. - Lily Xu; Esther Rolf; Sara Beery; Joseph R. Bennett; Tanya Y. Berger-Wolf; Tanya Birch; Elizabeth Bondi-Kelly; Justin Brashares; Melissa S. Chapman; Anthony Corso 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

Monitoring Social Insect Activity with Minimal Human Supervision. - Tarun Sharma; Julian Morgan Wagner; Sara Beery; William B. Dickson; Michael H. Dickinson; Joseph Parker (CVPR Workshops, 2024)

Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors. - Jae Joong Lee; Bosheng Li; Sara Beery; Jonathan Huang; Songlin Fei; Raymond A. Yeh; Bedrich Benes (ECCV (41), 2024)

Position: Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (ICML, 2024)

Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval. - Vaibhav Balloli; Sara Beery; Elizabeth Bondi-Kelly (IJCAI, 2024)

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. - Edward Vendrow; Omiros Pantazis; Alexander Shepard; Gabriel J. Brostow; Kate E. Jones; Oisin Mac Aodha; Sara Beery; Grant Van Horn (NeurIPS, 2024)

Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (CoRR, 2024)

Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. - Seulki Park; Youren Zhang; Stella X. Yu; Sara Beery; Jonathan Huang (CoRR, 2024)

Adapting the re-ID challenge for static sensors. - Avirath Sundaresan; Jason R. Parham; Jonathan P. Crall; Rosemary Warungu; Timothy Muthami; Margaret Mwangi; Jackson Miliko; Jason Holmberg; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Sara Beery (CoRR, 2024)

To crop or not to crop: Comparing whole-image and cropped classification on a large dataset of camera trap images. - Tomer Gadot; Stefan Istrate; Hyungwon Kim 002; Dan Morris 001; Sara Beery; Tanya Birch; Jorge Ahumada (IET Comput. Vis., 2024)

Visually Consistent Hierarchical Image Classification. - Seulki Park; Youren Zhang; Stella X. Yu; Sara Beery; Jonathan Huang (ICLR, 2025)

Personalized Representation from Personalized Generation. - Shobhita Sundaram; Julia Chae; Yonglong Tian; Sara Beery; Phillip Isola (ICLR, 2025)

Adapting the Re-ID Challenge for Static Sensors. - Avirath Sundaresan; Jason Parham; Jonathan P. Crall; Rosemary Warungu; Timothy Muthami; Jackson Miliko; Margaret Mwangi; Jason Holmberg; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Sara Beery (IET Comput. Vis., 2025)

Align and Distill: Unifying and Improving Domain Adaptive Object Detection. - Justin Kay; Timm Haucke; Suzanne Stathatos; Siqi Deng; Erik Young; Pietro Perona; Sara Beery; Grant Van Horn (Trans. Mach. Learn. Res., 2025)

TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression. - Denis Kuznedelev; Soroush Tabesh; Kimia Noorbakhsh; Elias Frantar; Sara Beery; Eldar Kurtic; Dan Alistarh (Trans. Mach. Learn. Res., 2025)

Do Large Language Model Benchmarks Test Reliability? - Joshua Vendrow; Edward Vendrow; Sara Beery; Aleksander Madry (CoRR, 2025)

Counting Fish with Temporal Representations of Sonar Video. - Kai Van Brunt; Justin Kay; Timm Haucke; Pietro Perona; Grant Van Horn; Sara Beery (CoRR, 2025)

Open-Set Recognition of Novel Species in Biodiversity Monitoring. - Yuyan Chen; Nico Lang; B. Christian Schmidt; Aditya Jain; Yves Basset; Sara Beery; Maxim Larrivée; David Rolnick (CoRR, 2025)

Pairwise Matching of Intermediate Representations for Fine-grained Explainability. - Lauren Shrack; Timm Haucke; Antoine Salaün; Arjun Subramonian; Sara Beery (CoRR, 2025)

DataS^3: Dataset Subset Selection for Specialization. - Neha Hulkund; Alaa Maalouf; Levi Cai; Daniel Yang; Tsun-Hsuan Wang; Abigail O'Neil; Timm Haucke; Sandeep Mukherjee; Vikram Ramaswamy; Judy Hansen Shen; Gabriel Tseng; Mike Walmsley; et al. (CoRR, 2025)

Consensus-Driven Active Model Selection. - Justin Kay; Grant Van Horn; Subhransu Maji; Daniel Sheldon; Sara Beery (CoRR, 2025)