Search Results for author:
Found 6 papers, 3 papers with code
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Recently years have witnessed a rapid development of large language models (LLMs).
Visformer: The Vision-friendly Transformer
The past year has witnessed the rapid development of applying the Transformer module to vision problems.
Ranked #507 on
Image Classification
on ImageNet
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Instead of randomly dropping units, SelectScale selects the important features in networks and adjusts them during training.
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in both academia and industry.
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area.
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
Automatic designing computationally efficient neural networks has received much attention in recent years.
