Long Short-term Memory,Advances In Deep Learning,Attention Mechanism,COVID-19 Policy,Convolutional Neural Network,Cumulative Gain,Deep Learning,Deep Learning Models,Film Industry,Forecast ...

Abstract: Given the significant challenges of low resource utilization, load imbalance, and difficulties in meeting quality of service requirements in Flying Ad Hoc Networks (FANETs) routing protocols ...

@article{sun2021equivariant, title={Equivariant neural network for factor graphs}, author={Sun, Fan-Yun and Kuck, Jonathan and Tang, Hao and Ermon, Stefano}, journal={arXiv preprint arXiv:2109.14218}, ...

This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

This project is an implementation of the GRCNN for OCR. For details, please refer to the paper: https://papers.nips.cc/paper/6637-gated-recurrent-convolution-neural ...

Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Unlike traditional electron microscopy, which only visualizes synapses, this method also measures connection strength, providing deeper insight into brain network function. The chip mimics patch-clamp ...