PPaperPicks

Hannah Kerner

13 papers at tracked venues · 12 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Gabriel Tseng
×4
David Rolnick
×4
Rahul Nair
×3
Bhanu Tokas
×3
Esther Rolf
×3
Caleb Robinson
×2
Adeel Ahmad
×2
Nathan Jacobs
×2
Laurel M. Hopkins
×1
Weng-Keen Wong
×1
Fuxin Li
×1
Rebecca A. Hutchinson
×1

Papers

  1. A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
    WACV 2026 ·
    Rahul Nair
    ,
    Bhanu Tokas
    , Hannah Kerner
  2. Classification Drives Geographic Bias in Street Scene Segmentation
    CVPR 2025 ·
    Rahul Nair
    ,
    Bhanu Tokas
    ,
    Gabriel Tseng
    ,
    Esther Rolf
    , Hannah Kerner
  3. DPA: A one-stop metric to measure bias amplification in classification datasets
    NeurIPS 2025 ·
    Bhanu Tokas
    ,
    Rahul Nair
    , Hannah Kerner
  4. Data Augmentation Approaches for Satellite Imagery
    AAAI 2025 ·
    Laurel M. Hopkins
    ,
    Weng-Keen Wong
    , Hannah Kerner,
    Fuxin Li
    ,
    Rebecca A. Hutchinson
  5. Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
    ICML 2025 ·
    Christina Butsko
    ,
    Gabriel Tseng
    ,
    Kristof Van Tricht
    ,
    Giorgia Milli
    ,
    David Rolnick
    ,
    Ruben Cartuyvels
    ,
    Inbal Becker-Reshef
    ,
    Zoltan Szantoi
    , Hannah Kerner
  6. Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
    AAAI 2025 · Hannah Kerner,
    Snehal Chaudhari
    ,
    Aninda Ghosh
    ,
    Caleb Robinson
    ,
    Adeel Ahmad
    ,
    Eddie Choi
    ,
    Nathan Jacobs
    ,
    Chris Holmes
    ,
    Matthias Mohr
    ,
    Rahul Dodhia
    ,
    Juan M. Lavista Ferres
    ,
    Jennifer Marcus
  7. Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
    ICML 2025 ·
    Gabriel Tseng
    ,
    Anthony Fuller
    ,
    Marlena Reil
    ,
    Henry Herzog
    ,
    Patrick Beukema
    ,
    Favyen Bastani
    ,
    James R. Green
    ,
    Evan Shelhamer
    , Hannah Kerner,
    David Rolnick
  8. Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
    AAAI 2025 ·
    Aditya Mohan
    ,
    Andie Gomez-Patron
    ,
    Matthew Pritchard
    , Hannah Kerner
  9. Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
    NeurIPS 2025 ·
    Mirali Purohit
    ,
    Bimal Gajera
    ,
    Vatsal Malaviya
    ,
    Irish Mehta
    ,
    Kunal Kasodekar
    ,
    Jacob B. Adler
    ,
    Steven Lu
    ,
    Umaa Rebbapragada
    , Hannah Kerner
  10. Task-Informed Meta-Learning for Remote Sensing
    CVPR 2025 ·
    Gabriel Tseng
    , Hannah Kerner,
    David Rolnick
  11. Position: Application-Driven Innovation in Machine Learning
    ICML 2024 ·
    David Rolnick
    ,
    Alán Aspuru-Guzik
    ,
    Sara Beery
    ,
    Bistra Dilkina
    ,
    Priya L. Donti
    ,
    Marzyeh Ghassemi
    , Hannah Kerner,
    Claire Monteleoni
    ,
    Esther Rolf
    ,
    Milind Tambe
    ,
    Adam White
  12. Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning
    ICML 2024 ·
    Esther Rolf
    ,
    Konstantin Klemmer
    ,
    Caleb Robinson
    , Hannah Kerner
  13. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
    CVPR 2024 ·
    Aayush Dhakal
    ,
    Adeel Ahmad
    ,
    Subash Khanal
    ,
    Srikumar Sastry
    , Hannah Kerner,
    Nathan Jacobs