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08/06/2023
Multi-scale Alternated Attention Transformer for Generalized Stereo Matching
Recent stereo matching networks achieves dramatic performance by introdu...
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05/04/2023
Faithful Question Answering with Monte-Carlo Planning
Although large language models demonstrate remarkable question-answering...
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02/28/2022
How and what to learn:The modes of machine learning
We proposal a new approach, namely the weight pathway analysis (WPA), to...
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12/24/2021
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Self-supervised learning has shown very promising results for monocular ...
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09/28/2020
Inferring Global Dynamics Using a Learning Machine
Given a segment of time series of a system at a particular set of parame...
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02/21/2020
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
We found that the real time reverse transcription-polymerase chain react...
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07/24/2017
Copy the dynamics using a learning machine
Is it possible to generally construct a dynamical system to simulate a b...
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04/23/2017
A General Theory for Training Learning Machine
Though the deep learning is pushing the machine learning to a new stage,...
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02/12/2016
General Vector Machine
The support vector machine (SVM) is an important class of learning machi...
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11/12/2012
Minimal cost feature selection of data with normal distribution measurement errors
Minimal cost feature selection is devoted to obtain a trade-off between ...
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09/29/2012
