2.5k citations · 4.7k across the 60 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CL2021★ 2.5k cited
LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis +5
An important paradigm of natural language processing consists of large-scale pre-training on general domain data and adaptation to particular tasks or domains. As we pre-train larg…
cs.LG2021★ 3 cited
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
Zeyuan Allen-Zhu, Yuanzhi Li
Generative adversarial networks (GANs) are among the most successful models for learning high-complexity, real-world distributions. However, in theory, due to the highly non-convex…