Jun 28, 2024 · A novel method called Matching Convexified Trajectory (MCT), which aims to provide better guidance for the student trajectory.

Jun 28, 2024 · A novel method called Matching Convexified Trajectory (MCT), which aims to provide better guidance for the student trajectory.

Jun 28, 2024 · This trajectory is not only easier to store, but also enables a continuous sampling strategy during distillation, ensuring thorough learning and ...

Comprehensive experiments across three public datasets validate the superiority of MCT over traditional MTT methods, which leverages insights from the ...

Jun 30, 2024 · The paper introduces a novel dataset distillation method called Convex Trajectory Matching (CTM) that aims to improve the stability and storage-efficiency of ...

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. ... The rapid evolution of deep learning and large language models has ...

This trajectory is not only easier to store, but also enables a continuous sampling strategy during distillation, ensuring thorough learning and fitting of the ...

The paper proposes a new method, Matching Convexified Trajectory (MCT), to address the limitations of traditional Matching Training Trajectories (MTT) methods.

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory · no code implementations • 28 Jun 2024 • Wenliang Zhong, Haoyu ...

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. W Zhong, H Tang, Q Zheng, M Xu, Y Hu, L Nie. arXiv preprint arXiv ...