Neural Architecture Search Comparison Hub
4 papers - avg viability 6.8
Top Papers
- YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search(7.0)
YOLO-NAS-Bench is a surrogate benchmark for efficient YOLO architecture search, enhancing predictive accuracy for object detection.
- PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units(7.0)
PrototypeNAS automates the design of efficient deep neural networks tailored for microcontroller units, enabling rapid deployment on edge devices.
- Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification(7.0)
A data-local framework for LLM-guided neural architecture search that automates model development for sensitive time-series data in healthcare.
- Resource-Efficient Iterative LLM-Based NAS with Feedback Memory(6.0)
A resource-efficient pipeline for Neural Architecture Search using LLMs to optimize CNN designs on consumer-grade hardware.