Benjamin Cramer

Electrical and Electronic Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 23 citations into it; #12,982 of 16,539 by trust here, #13,963 by citations
• Artificial Intelligence — 20 citations into it
• Cognitive Neuroscience — 18 citations into it; #8,678 of 10,852 by trust here, #9,185 by citations
• Cellular and Molecular Neuroscience — 7 citations into it

Whom Benjamin Cramer trusts overall

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

1. Chris L. Baker
2. Diederik P. Kingma
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. David E. Rumelhart
6. Alex Krizhevsky
7. Michael Pfeiffer
8. Yoshua Bengio
9. Hesham Mostafa
10. Jimmy Ba

Who trusts Benjamin Cramer overall

1. Friedemann Zenke
2. Jason Kamran Eshraghian
3. Tim P. Vogels

Papers from Benjamin Cramer's perspective

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

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

Their papers

• The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks (2019) — 337 citations