Search Results for author:
Found 3 papers, 0 papers with code
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification
As deep neural networks achieve unprecedented performance in various tasks, neural architecture search (NAS), a research field for designing neural network architectures with automated processes, is actively underway.
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification
In many deep neural network (DNN) applications, the difficulty of gathering high-quality data in the industry field hinders the practical use of DNN.
Trends in Neural Architecture Search: Towards the Acceleration of Search
In modern deep learning research, finding optimal (or near optimal) neural network models is one of major research directions and it is widely studied in many applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
