Chris Murphy

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it

Whom Chris Murphy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Surat Teerapittayanon
2. Pete Warden
3. Joseph Redmon
4. Song Han
5. Laurent Sifre
6. Takayuki Nishio
7. Xiangyu Zhang
8. Guoguo Chen
9. Bradley McDanel
10. He Li

Papers from Chris Murphy's perspective

Ordered by how strongly the researchers Chris Murphy trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Machine Learning at the Network Edge: A Survey (2019) — 512 citations