416 citations · 2.7k across the 106 of their papers we have counts for
3 papers · 1 filter
Improved Distribution Matching for Dataset Condensation
Ganlong Zhao, Guanbin Li, Yipeng Qin +1
Dataset Condensation aims to condense a large dataset into a smaller one while maintaining its ability to train a well-performing model, thus reducing the storage cost and training…
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang +2
Protein representation learning has primarily benefited from the remarkable development of language models (LMs). Accordingly, pre-trained protein models also suffer from a problem…
Kernel Quantization for Efficient Network Compression
Zhongzhi Yu, Yemin Shi, Tiejun Huang +1
This paper presents a novel network compression framework Kernel Quantization (KQ), targeting to efficiently convert any pre-trained full-precision convolutional neural network (CN…