Results 51 to 60 of about 6,207,310 (278)
Remote Sensing, 2020 Fine-grained aircraft type recognition in remote sensing images, aiming to distinguish different types of the same parent category aircraft, is quite a significant task.
Wei Liang +5 more
doaj +1 more source
IEEE Access, 2022 We present a Model Uncertainty-aware Differentiable ARchiTecture Search ( $\mu $ DARTS) that optimizes neural networks to simultaneously achieve high accuracy and low uncertainty. We introduce concrete dropout within DARTS cells and include a Monte-Carlo
Biswadeep Chakraborty +1 more
doaj +1 more source
Multi-objective Differentiable Neural Architecture Search
CoRR44 pages, 34 ...
Rhea Sanjay Sukthanker +5 more
openaire +3 more sources
DIFFERENTIABLE ARCHITECTURE SEARCH FOR KEYWORD SPOTTING [PDF]
, 2020 With the popularity of smart mobile devices, the need to control mobile devices using voice is increasing. Also, there is greater expectation for the accuracy of keyword spotting. Many existing researches have applied neural networks to keyword spotting,
Mo,Tong
core +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
The multifaceted roles of lysosomes in cancer
Molecular Oncology, EarlyView.Lysosomes support cancer cell adaptation by integrating macromolecule degradation and nutrient recycling with nutrient sensing, inter‐organelle communication and immune regulation. These interconnected functions can promote tumour growth, stress tolerance and therapy resistance, while also creating context‐dependent vulnerabilities that may be ...
Jia Li, Kevin M. Ryan
wiley +1 more source
Architecture-aware minimization (A2M): how to find flat minima in neural architecture search
Machine Learning: Science and TechnologyNeural architecture search (NAS) has become an essential tool for designing effective and efficient neural networks. In this paper, we investigate the geometric properties of neural architecture spaces commonly used in differentiable NAS methods ...
Matteo Gambella +2 more
doaj +1 more source
LWMD: A Comprehensive Compression Platform for End-to-End Automatic Speech Recognition Models
Applied Sciences, 2023 Recently end-to-end (E2E) automatic speech recognition (ASR) models have achieved promising performance. However, existing models tend to adopt increasing model sizes and suffer from expensive resource consumption for real-world applications. To compress
Yukun Liu +3 more
doaj +1 more source
Neural network architecture search with differentiable cartesian genetic programming for regression [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019 a short version of this was accepted as poster paper at GECCO ...
Marcus Märtens, Dario Izzo
openaire +4 more sources
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source