3 papers
cs.LG2026
Periodic Asynchrony: An On-Policy Approach for Accelerating LLM Reinforcement Learning
Jian Lu, Yi Luo
Since the introduction of the GRPO algorithm, reinforcement learning (RL) has attracted increasing attention for LLM post-training, yet training efficiency remains a critical chall…
cs.LG2025
Approximation Rates of Shallow Neural Networks: Barron Spaces, Activation Functions and Optimality Analysis
Jian Lu, Xiaohuang Huang
This paper investigates the approximation properties of shallow neural networks with activation functions that are powers of exponential functions. It focuses on the dependence of…
eess.IV2024
Pubic Symphysis-Fetal Head Segmentation Using Pure Transformer with Bi-level Routing Attention
Pengzhou Cai, Lu Jiang, Yanxin Li +1
In this paper, we propose a method, named BRAU-Net, to solve the pubic symphysis-fetal head segmentation task. The method adopts a U-Net-like pure Transformer architecture with bi-…