A. G. Ramm

Cognitive Neuroscience · 2005

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 202 citations into it
• Artificial Intelligence — 90 citations into it
• Molecular Biology — 84 citations into it
• Computer Vision and Pattern Recognition — 80 citations into it
• Cellular and Molecular Neuroscience — 79 citations into it
• Social Psychology — 73 citations into it
• Experimental and Cognitive Psychology — 62 citations into it
• Ecology — 52 citations into it

Whom A. G. Ramm trusts overall

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

1. Linda Chao
2. Geoffrey E. Hinton
3. Antonio Torralba
4. Alex Martin
5. Mehrdad Hajibabaei
6. Jorma Rissanen
7. David G. Lowe
8. Jerome H. Friedman
9. Robert E. Schapire
10. Ran Nathan

Who trusts A. G. Ramm overall

1. Kerem Altun
2. Srinath Sridhar
3. Michael Hofmann
4. F. Ingrand
5. Ronald Poppe
6. Alireza Fathi
7. Billur Barshan
8. Ferda Ofli
9. Yucheng Chen
10. Paulo Vinicius Koerich Borges

Papers from A. G. Ramm's perspective

Ordered by how strongly the researchers A. G. Ramm 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005)