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SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation
The adversarial methods showed advanced performance by producing synthetic images to mitigate the domain shift, a common problem due to the hardship of acquiring labelled data in medical field.
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data
To further facilitate the data efficiency of the cross-domain segmentation methods on the fundus images, we explore UDA optic disc and cup segmentation problems using few labeled source data in this work.
Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO
A novel framework for solving the optimal execution and placement problems using reinforcement learning (RL) with imitation was proposed.
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment
We compare the different variants with our baseline model.
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