M. G. Sarwar Murshed

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 M. G. Sarwar Murshed 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 M. G. Sarwar Murshed's perspective

Ordered by how strongly the researchers M. G. Sarwar Murshed 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. Long Short-Term Memory
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

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