17 citations · 28 across the 19 of their papers we have counts for
4 papers · 1 filter
TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection
Yikai Zhang, Gaoxiang Jia, Jie Ding +1
TorchKM is an open-source library for kernel machines, including support vector machines, kernel logistic regression, and kernel quantile regression, with GPU acceleration. The lib…
The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping
Yang Liu, Enxi Wang, Yufei Gao +6
Despite the success of reinforcement learning for large language models, a common failure mode is reduced sampling diversity, where the policy repeatedly generates similar erroneou…
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Yi-Kai Zhang, Lu Ren, Chao Yi +3
The rapid expansion of foundation pre-trained models and their fine-tuned counterparts has significantly contributed to the advancement of machine learning. Leveraging pre-trained…
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding +2
Figuring out which Pre-Trained Model (PTM) from a model zoo fits the target task is essential to take advantage of plentiful model resources. With the availability of numerous hete…