Segmenting across places: The need for fair transfer learning with satellite imagery

9 April 2022

Papers citing "Segmenting across places: The need for fair transfer learning with satellite imagery"

6 / 6 papers shown

Title
S4: Self-Supervised Sensing Across the Spectrum Jay Shenoy Xinjian Davis Zhang Shlok Mehrotra Bill Tao Rem Yang Han Zhao Deepak Vasisht AI4TS 27 2 0 02 May 2024
Reflections from the Workshop on AI-Assisted Decision Making for Conservation Lily Xu Esther Rolf Sara Beery J. Bennett T. Berger-Wolf ... P. Moorcroft Jonathan Palmer Andrew Perrault D. Thau Milind Tambe 45 3 0 17 Jul 2023
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy Emily L. Aiken Esther Rolf J. Blumenstock 32 6 0 02 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 95 122 0 16 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019