Field dossier · from the corpus

Residual neural network

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

Deep Residual Learning for Image Recognition

2016226,825 citationsDOI ↗

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

201712,711 citationsDOI ↗

Wide Residual Networks

20166,067 citationsDOI ↗

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

20174,488 citationsDOI ↗

BlockDrop: Dynamic Inference Paths in Residual Networks

2018480 citationsDOI ↗

Signals

5

Papers · in corpus

251k

Citations · corpus total

0.0%

Recent share · since 2024

2016–2018

Span · publication years

Who is doing the work

Google (United States)US2
Google DeepMind (United Kingdom)GB2
University College LondonGB2
Megvii (China)1
MIT Computer Science and Artificial Intelligence LaboratoryUS1
Peking UniversityCN1
The University of Texas at AustinUS1
Boston Micromachines (United States)US1

Most published researchers

Vincent Vanhoucke2
Sergey Ioffe2
Alexander A. Alemi2
Christian Szegedy2
Rogério Feris1
Steven J. Rennie1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Network architecture3 Artificial intelligence3 Residual3 Set (abstract data type)2 Scaling2 Margin (machine learning)2 Layer (electronics)1 Feature (linguistics)1 Deep learning1 Reuse1

Residual neural network · Raz0r Prism