Jason Kamran Eshraghian

Electrical and Electronic Engineering · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 47 citations into it
• Cognitive Neuroscience — 44 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Neuroscience — 8 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Jason Kamran Eshraghian trusts overall

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

1. Geoffrey E. Hinton
2. Ronald J. Williams
3. Diederik P. Kingma
4. Yoshua Bengio
5. Kaiming He
6. Paul J. Werbos
7. Ross B. Girshick
8. Alex Krizhevsky
9. Timothy P. Lillicrap
10. Ilya Sutskever

Papers from Jason Kamran Eshraghian's perspective

Ordered by how strongly the researchers Jason Kamran Eshraghian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Training Spiking Neural Networks Using Lessons From Deep Learning (2021) — 895 citations