Tag: neural architecture search

A multi-objective neural architecture search framework using performance predictors generates cognitive diagnosis models that outperform existing methods while maintaining interpretability ...

A new resource-optimized neural architecture search framework automatically identifies a compact 3D U-Net model for prostate cancer segmentation from diffusion-weighted ...

Researchers have developed TruthNAS, a federated learning framework that combines on-device architecture search with differential privacy to detect misinformation in ...

Researchers introduced PRISM, a machine-learning framework combining latency-constrained architecture search with edge–server collaboration to improve packaging defect detection under strict ...

A neural architecture search framework called CMS-NAS automatically evolves hybrid convolutional, Mamba and spiking network designs for lightweight, accurate EEG-based ...

A new deep learning framework that passively reads smartphone sensor data from college students can detect depression and stress, but ...

A new framework combining a discourse-aware Context-Aware Transformer with a dynamically perturbed fox-inspired optimization algorithm achieves significant gains in coherent ...

Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, using evolutionary neural ...

Researchers at NIT Durgapur compared NSGA-II, MOSA, and Bayesian optimization for designing tiny keyword spotting models, finding MOSA most reliable ...

A hybrid compression framework combining knowledge distillation, quantization-aware training, and dynamic inference achieves 92.3 percent semantic accuracy at 1.5 watts ...