no code implementations • 7 Sep 2022 • Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed
SPAN operates by regularizing attention masks from separate transformer heads to follow various priors over semantic regions.
1 code implementation • 6 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.
no code implementations • 25 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.
no code implementations • 12 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.
no code implementations • 26 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.
1 code implementation • 11 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.