no code implementations • 23 May 2024 • Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding
Large language models exhibit exceptional generalization capabilities, primarily attributed to the utilization of diversely sourced data.
1 code implementation • 5 Sep 2023 • Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
A data recipe is a mixture of data from different sources for training LLMs, which plays a vital role in LLMs' performance.
1 code implementation • Conference on Neural Information Processing Systems 2022 • Zhenhong Sun, Ce Ge, Junyan Wang, Ming Lin, Hesen Chen, Hao Li, Xiuyu Sun
Deploying deep convolutional neural networks on Internet-of-Things (IoT) devices is challenging due to the limited computational resources, such as limited SRAM memory and Flash storage.
no code implementations • Computers in Industry 2020 • Ce Ge, Jing Wang, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao:
With the recent progress of deep learning, advanced industrial object detectors are built for smart industrial applications.
Ranked #22 on Weakly Supervised Object Detection on PASCAL VOC 2007
1 code implementation • CVPR 2019 • Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun
Many channel pruning works utilize structured sparsity regularization to zero out all the weights in some channels and automatically obtain structure-sparse network in training stage.
no code implementations • BMVC 2018 • Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao
As most weakly supervised object detection methods are based on pre-generated proposals, they often show two false detections: (i) group multiple object instances with one bounding box, and (ii) focus on only parts rather than the whole objects.
Ranked #25 on Weakly Supervised Object Detection on PASCAL VOC 2007