1 citations · 1 across the 2 of their papers we have counts for
4 papers
Fine-Grained Analysis of Catastrophic Forgetting in Continual Learning via Algorithmic Stability
Guodong Zheng, Yan Sun, Peng Wang +5
Understanding catastrophic forgetting, in which learning new tasks degrades performance on previously learned tasks, remains a fundamental challenge in continual learning (CL). Exi…
Alignment-Guided Flow Transformer for Efficient Vision-Language-Action Policy Learning
Shengchao Hu, Peng Wang, Qiyang Zhou +5
Recent advances in Vision-Language-Action (VLA) models point toward general-purpose robotic intelligence by unifying perception, instruction, and control. Despite impressive progre…
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Aili Chen, Aonian Li, Baichuan Zhou +215
We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…
A Unified Analysis for Finite Weight Averaging
Peng Wang, Li Shen, Zerui Tao +3
Averaging iterations of Stochastic Gradient Descent (SGD) have achieved empirical success in training deep learning models, such as Stochastic Weight Averaging (SWA), Exponential M…