Jennifer L. Raymond

Neurology · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Neurology — 26 citations into it
• Cognitive Neuroscience — 25 citations into it
• Cellular and Molecular Neuroscience — 21 citations into it

Whom Jennifer L. Raymond trusts overall

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

1. John P. O'Doherty
2. Peter S. Dayan
3. Masao Ito
4. L. Koziol
5. Richard S. Sutton
6. Yoshua Bengio
7. Henrik Jörntell
8. Karl J. Friston
9. D. Marr

Papers from Jennifer L. Raymond's perspective

Ordered by how strongly the researchers Jennifer L. Raymond 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Computational Principles of Supervised Learning in the Cerebellum (2018) — 212 citations
• Timing rules for synaptic plasticity matched to behavioral function (2016) — 120 citations