Dec 12, 2023 · Some research gets inspiration from semi-supervised learning (SSL) and develops a new task called semi-supervised domain generalization (SSDG).
Dec 12, 2023 · To this end, we first specify the training paradigm, and then leverage active learning (AL) to handle the issues. We further develop a new task ...
In this paper, we propose a new task called active semi-supervised domain generalization (ASSDG) by combining SSDG and AL after analyzing the essential ...
Apr 10, 2024 · Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. December 2023; Neural Networks 171(2–3).
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This is not a limitation of our work since the supervised training objectives can be easily extended to the semi-supervised training objectives that utilize.
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization · Author Picture Jingwei Li. Institute of Automation, Chinese ...
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. ... A deep learning model for the detection of various ...
We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in sparse data situations and for domain adaptation.
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu. https://doi ...
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization · Jingwei LiYuan LiJieFu TanChengbao Liu. Computer Science.