1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Two-Phase Recall-and-Select Framework for Fast Model Selection
Jianwei Cui, Wenhang Shi, Honglin Tao +2
As the ubiquity of deep learning in various machine learning applications has amplified, a proliferation of neural network models has been trained and shared on public model reposi…
Lion: Minimizing Distributed Transactions through Adaptive Replica Provision (Extended Version)
Qiushi Zheng, Zhanhao Zhao, Wei Lu +4
Distributed transaction processing often involves multiple rounds of cross-node communications, and therefore tends to be slow. To improve performance, existing approaches convert…
Xorbits: Automating Operator Tiling for Distributed Data Science
Weizheng Lu, Kaisheng He, Xuye Qin +7
Data science pipelines commonly utilize dataframe and array operations for tasks such as data preprocessing, analysis, and machine learning. The most popular tools for these tasks…
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
Wenhang Shi, Yiren Chen, Zhe Zhao +3
Catastrophic forgetting remains a critical challenge in the field of continual learning, where neural networks struggle to retain prior knowledge while assimilating new information…
ChatPipe: Orchestrating Data Preparation Program by Optimizing Human-ChatGPT Interactions
Sibei Chen, Hanbing Liu, Weiting Jin +5
Orchestrating a high-quality data preparation program is essential for successful machine learning (ML), but it is known to be time and effort consuming. Despite the impressive cap…