12 citations · 21 across the 3 of their papers we have counts for
3 papers
Deep learning Framework for Mobile Microscopy
Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya +5
Mobile microscopy is a promising technology to assist and to accelerate disease diagnostics, with its widespread adoption being hindered by the mediocre quality of acquired images.…
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova +3
Neural Architecture Search (NAS) is a promising and rapidly evolving research area. Training a large number of neural networks requires an exceptional amount of computational power…
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov +2
Neural architecture search (NAS) targets at finding the optimal architecture of a neural network for a problem or a family of problems. Evaluations of neural architectures are very…