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20182026
most citedTransfer Learning with Dynamic Distribution Adaptation

177 citations · 631 across the 42 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 3 cited

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer

Haopeng Sun, Yingwei Zhang, Lumin Xu +2

Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, yet it poses significant challenges due to high spatial resolution and rich fine d…

cs.CL2024★ 2 cited

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application

Chuanpeng Yang, Wang Lu, Yao Zhu +5

Large Language Models (LLMs) have showcased exceptional capabilities in various domains, attracting significant interest from both academia and industry. Despite their impressive p…

cs.HC2024★ 1 cited

AUGlasses: Continuous Action Unit based Facial Reconstruction with Low-power IMUs on Smart Glasses

Yanrong Li, Tengxiang Zhang, Xin Zeng +3

Recent advancements in augmented reality (AR) have enabled the use of various sensors on smart glasses for applications like facial reconstruction, which is vital to improve AR exp…

cs.LG2024★ 23 cited

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Xu Guo, Yiqiang Chen

The recent surge in research focused on generating synthetic data from large language models (LLMs), especially for scenarios with limited data availability, marks a notable shift…

eess.SP2024★ 5 cited

Self-supervised Learning for Electroencephalogram: A Systematic Survey

Weining Weng, Yang Gu, Shuai Guo +4

Electroencephalogram (EEG) is a non-invasive technique to record bioelectrical signals. Integrating supervised deep learning techniques with EEG signals has recently facilitated au…