1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
The Energy-Efficient Hierarchical Neural Network with Fast FPGA-Based Incremental Learning
Mohammad Saleh Vahdatpour, Huaiyuan Chu, Yanqing Zhang
The rising computational and energy demands of deep learning, particularly in large-scale architectures such as foundation models and large language models (LLMs), pose significant…
cs.CL2023★ 1 cited
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition
Mingchen Li, Yang Ye, Jeremy Yeung +3
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER). The conventional configuration strives to reduce the distance between tokens with t…