Weaver: Foundation Models for Creative Writing

no code implementations • 30 Jan 2024 • Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou

Weaver is pre-trained on a carefully selected corpus that focuses on improving the writing capabilities of large language models.

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training

no code implementations • 16 Jan 2024 • Jiamin Chen, Xuhong LI, Yanwu Xu, Mengnan Du, Haoyi Xiong

Based on a large-scale medical image classification dataset, our work collects explanations from well-trained classifiers to generate pseudo labels of segmentation tasks.

Image Classification Image Segmentation +4

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective

no code implementations • 9 Jan 2024 • Haoyi Xiong, Xuhong LI, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du

Given the complexity and lack of transparency in deep neural networks (DNNs), extensive efforts have been made to make these systems more interpretable or explain their behaviors in accessible terms.

Data Valuation Decision Making +2

GraphPAS: Parallel Architecture Search for Graph Neural Networks

1 code implementation • Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 • Jiamin Chen, Jianliang Gao, Yibo Chen, Oloulade Babatounde Moctard, Tengfei Lyu, Zhao Li

In this paper, we propose a parallel graph architecture search (GraphPAS) framework for graph neural networks.

Neural Architecture Search

Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach

1 code implementation • 18 Jul 2018 • Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu

In spite of maturity to the modern electronic design automation (EDA) tools, optimized designs at architectural stage may become sub-optimal after going through physical design flow.

Active Learning BIG-bench Machine Learning