research
∙
05/17/2023
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
Diffusion models excel at text-to-image generation, especially in subjec...
share
research
∙
02/09/2023
Offsite-Tuning: Transfer Learning without Full Model
Transfer learning is important for foundation models to adapt to downstr...
research
∙
01/18/2023
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training
A key performance bottleneck when training graph neural network (GNN) mo...
research
∙
11/18/2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Large language models (LLMs) show excellent performance but are compute-...
research
∙
01/18/2021
