1 citations · 1 across the 19 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024★ 1 cited
GMem: A Modular Approach for Ultra-Efficient Generative Models
Yi Tang, Peng Sun, Zhenglin Cheng +1
Recent studies indicate that the denoising process in deep generative diffusion models implicitly learns and memorizes semantic information from the data distribution. These findin…
cs.CV2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang, Peng Sun, Tao Lin
Recent advancements in dataset distillation have demonstrated the significant benefits of employing soft labels generated by pre-trained teacher models. In this paper, we introduce…
cs.LG2024
Efficiency for Free: Ideal Data Are Transportable Representations
Peng Sun, Yi Jiang, Tao Lin
Data, the seminal opportunity and challenge in modern machine learning, currently constrains the scalability of representation learning and impedes the pace of model evolution. In…