The next big one: Detecting earthquakes and other rare events from community-based sensors. - Matthew Faulkner 001; Michael Olson; Rishi Chandy; Jonathan Krause; K. Mani Chandy; Andreas Krause 001 (IPSN, 2011)

Demo abstract, the next big one: Detecting earthquakes and other rare events from community-based sensors. - Matthew Faulkner 001; Michael Olson; Rishi Chandy; Jonathan Krause; K. Mani Chandy; Andreas Krause 001 (IPSN, 2011)

Fine-Grained Categorization for 3D Scene Understanding. - Michael Stark 003; Jonathan Krause; Bojan Pepik; David Meger; James J. Little; Bernt Schiele; Daphne Koller (BMVC, 2012)

Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. - Jia Deng 001; Jonathan Krause; Alexander C. Berg; Li Fei-Fei 001 (CVPR, 2012)

Fine-Grained Crowdsourcing for Fine-Grained Recognition. - Jia Deng 001; Jonathan Krause; Li Fei-Fei 001 (CVPR, 2013)

3D Object Representations for Fine-Grained Categorization. - Jonathan Krause; Michael Stark 003; Jia Deng 001; Li Fei-Fei 001 (ICCV Workshops, 2013)

Scalable multi-label annotation. - Jia Deng 001; Olga Russakovsky; Jonathan Krause; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (CHI, 2014)

Learning Features and Parts for Fine-Grained Recognition. - Jonathan Krause; Timnit Gebru; Jia Deng 001; Li-Jia Li 001; Li Fei-Fei 001 (ICPR, 2014)

Fine-grained recognition without part annotations. - Jonathan Krause; Hailin Jin; Jianchao Yang; Li Fei-Fei 001 (CVPR, 2015)

ImageNet Large Scale Visual Recognition Challenge. - Olga Russakovsky; Jia Deng 001; Hao Su 001; Jonathan Krause; Sanjeev Satheesh; Sean Ma; Zhiheng Huang; Andrej Karpathy; Aditya Khosla; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (Int. J. Comput. Vis., 2015)

The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. - Jonathan Krause; Benjamin Sapp; Andrew Howard; Howard Zhou; Alexander Toshev; Tom Duerig; James Philbin; Li Fei-Fei 001 (ECCV (3), 2016)

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. - Jia Deng 001; Jonathan Krause; Michael Stark 003; Li Fei-Fei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Fine-grained recognition: data, recognition, and application. - Jonathan Krause (2016)

Fine-Grained Car Detection for Visual Census Estimation. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Li Fei-Fei 001 (AAAI, 2017)

Scalable Annotation of Fine-Grained Categories Without Experts. - Timnit Gebru; Jonathan Krause; Jia Deng 001; Li Fei-Fei 001 (CHI, 2017)

A Hierarchical Approach for Generating Descriptive Image Paragraphs. - Jonathan Krause; Justin Johnson 001; Ranjay Krishna; Li Fei-Fei 001 (CVPR, 2017)

Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Erez Aiden Lieberman; Li Fei-Fei 001 (CoRR, 2017)

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. - Jonathan Krause; Varun Gulshan; Ehsan Rahimy; Peter Karth; Kasumi Widner; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Erez Lieberman Aiden; Li Fei-Fei 001 (Proc. Natl. Acad. Sci. USA, 2017)

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. - Amy Jin; Serena Yeung; Jeffrey Jopling; Jonathan Krause; Dan Azagury; Arnold Milstein; Li Fei-Fei 001 (WACV, 2018)

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. - Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Sonia Phene; R. Carter Dunn; Naama Hammel; Yun Liu 013; Jonathan Krause; Naho Kitade; Mike Schaekermann; Rory Sayres; Derek J. Wu; Ashish Bora; Christopher Semturs; Anita Misra; et al. (CoRR, 2018)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. - Joy Hsu; Sonia Phene; Akinori Mitani; Jieying Luo; Naama Hammel; Jonathan Krause; Rory Sayres (CoRR, 2020)

Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor. - Nevine Nassif; Ashley O. Munch; Carleton L. Molnar; Gerald Pasdast; Sitaraman V. Lyer; Zibing Yang; Oscar Mendoza; Mark Huddart; Srikrishnan Venkataraman; Sireesha Kandula; Rafi Marom; Alexandra M. Kern; et al. (ISSCC, 2022)

Discovering novel systemic biomarkers in photos of the external eye. - Boris Babenko; Ilana Traynis; Christina Chen; Preeti Singh; Akib Uddin; Jorge Cuadros; Lauren P. Daskivich; April Y. Maa; Kim Ramasamy; Eugene Yu-Chuan Kang; Yossi Matias; Gregory S. Corrado; et al. (CoRR, 2022)

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. - Jeremy Lai; Faruk Ahmed; Supriya Vijay; Tiam Jaroensri; Jessica Loo; Saurabh Vyawahare; Saloni Agarwal; Fayaz Jamil; Yossi Matias; Gregory S. Corrado; Dale R. Webster; Jonathan Krause; et al. (CoRR, 2023)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Generative AI for medical education: Insights from a case study with medical students and an AI tutor for clinical reasoning. - Amy Wang; Roma Ruparel; Anna Iurchenko; Paul Jhun; Julie Anne Séguin; Patricia Strachan; Renee Wong; Alan Karthikesalingam; Yossi Matias; Avinatan Hassidim; Dale R. Webster; Christopher Semturs; et al. (CHI Extended Abstracts, 2025)