Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty

Anthony Perez, Swetava Ganguli, Stefano Ermon, George Azzari, Marshall Burke, David B. Lobell

Type: Preprint

Publication Date: 2019-02-13

Citations: 9

Locations

arXiv (Cornell University) - View

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+	Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities	2019	Jared Dunnmon Swetava Ganguli Darren Hau Brooke E. Husic
+	Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking	2019	Swetava Ganguli Jared Dunnmon Darren Hau
+ PDF Chat	DC‐AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet	2019	Meiyu Li Hailiang Tang Michael D. Chan Xiaobo Zhou Xiaohua Qian
+	Learning to segment from misaligned and partial labels	2020	Simone Fobi Terence Conlon Jayant Taneja Vijay Modi
+ PDF Chat	VAE-Info-cGAN	2020	Xue‐Rong Xiao Swetava Ganguli Vipul Pandey
+	GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images.	2019	Swetava Ganguli Pedro Javier Rojas Garzón Noa Glaser

Works Cited by This (8)

Action	Title	Year	Authors
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira
+ PDF Chat	Generative Adversarial Networks	2022	Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio
+	Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking	2019	Swetava Ganguli Jared Dunnmon Darren Hau
+	GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images.	2019	Swetava Ganguli Pedro Javier Rojas Garzón Noa Glaser
+	Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities	2019	Jared Dunnmon Swetava Ganguli Darren Hau Brooke E. Husic
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala