Search Results for author: Colorado Reed

Found 6 papers, 2 papers with code

HyperionSolarNet: Solar Panel Detection from Aerial Images

1 code implementation6 Jan 2022 Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed, Hossein Vahabi, Nathan Nusaputra, Felipe Vergara

The energy sector is the single largest contributor to climate change and many efforts are focused on reducing dependence on carbon-emitting power plants and moving to renewable energy sources, such as solar power.

Segmentation Semantic Segmentation

Multi-source Few-shot Domain Adaptation

no code implementations25 Sep 2021 Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto Sangiovanni Vincentelli

Multi-source Domain Adaptation (MDA) aims to transfer predictive models from multiple, fully-labeled source domains to an unlabeled target domain.

Domain Adaptation Self-Supervised Learning

Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery

no code implementations12 Aug 2021 Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini

Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability.

Contrastive Learning

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

no code implementations26 Feb 2020 Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer

Therefore, transferring the learned knowledge from a separate, labeled source domain to an unlabeled or sparsely labeled target domain becomes an appealing alternative.

Domain Adaptation

Scaling the Indian Buffet Process via Submodular Maximization

1 code implementation11 Apr 2013 Colorado Reed, Zoubin Ghahramani

Inference for latent feature models is inherently difficult as the inference space grows exponentially with the size of the input data and number of latent features.

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