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BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
Arxiv
0+阅读 · 6月15日
Running hardware-aware neural architecture search on embedded devices under 512MB of RAM
Arxiv
0+阅读 · 6月12日
Activity-Dependent Plasticity in Morphogenetically-Grown Recurrent Networks
Arxiv
0+阅读 · 6月15日
An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms
Arxiv
0+阅读 · 6月15日
HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search
Arxiv
0+阅读 · 5月3日
G-ICSO-NAS: Shifting Gears between Gradient and Swarm for Robust Neural Architecture Search
Arxiv
0+阅读 · 4月1日
Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices
Arxiv
0+阅读 · 3月18日
MorphoNAS: Embryogenic Neural Architecture Search Through Morphogen-Guided Development
Arxiv
0+阅读 · 3月24日
MIDAS: Mosaic Input-Specific Differentiable Architecture Search
Arxiv
0+阅读 · 2月6日
Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
Arxiv
0+阅读 · 3月12日
A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
Arxiv
0+阅读 · 2月9日
Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
Arxiv
0+阅读 · 2月13日
DeepFedNAS: A Unified Framework for Principled, Hardware-Aware, and Predictor-Free Federated Neural Architecture Search
Arxiv
0+阅读 · 1月21日
Predictor-Free and Hardware-Aware Federated Neural Architecture Search via Pareto-Guided Supernet Training
Arxiv
0+阅读 · 1月28日
Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation
Arxiv
0+阅读 · 1月28日
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