"training acceleration" Papers

CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models

Zhihang Lin, Mingbao Lin, Yuan Xie et al.

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic

MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization

Da Chang, Ganzhao Yuan

Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping

Weili Zeng, Ziyuan Huang, Kaixiang Ji et al.

Diversified Batch Selection for Training Acceleration

Feng Hong, Yueming LYU, Jiangchao Yao et al.

How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective

Keyan Miao, Konstantinos Gatsis

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration

Zhengyang Zhuge, Peisong Wang, Xingting Yao et al.

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks

Haihang Wu, Wei Wang, Tamasha Malepathirana et al.