Search Results for author: Mao Li

Found 4 papers, 1 papers with code

Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation

no code implementations NeurIPS 2021 Mao Li, Kaiqi Jiang, Xinhua Zhang

Probability discrepancy measure is a fundamental construct for numerous machine learning models such as weakly supervised learning and generative modeling.

Unsupervised Domain Adaptation

3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets

no code implementations1 Jul 2021 Hessah Albanwan, Rongjun Qin, Xiaohu Lu, Mao Li, Desheng Liu, Jean-Michel Guldmann

The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multitemporal data set.


Proximal Mapping for Deep Regularization

1 code implementation NeurIPS 2020 Mao Li, Yingyi Ma, Xinhua Zhang

Underpinning the success of deep learning is effective regularizations that allow a variety of priors in data to be modeled.

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