David A. Stanley

Representation & Self-Supervised Learning · 2009

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

• Representation & Self-Supervised Learning — 10 citations into it
• Artificial Intelligence — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom David A. Stanley trusts overall

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

1. Geoffrey E. Hinton
2. Ruslan Salakhutdinov
3. Yoshua Bengio
4. Yann LeCun
5. Hugo Larochelle
6. Alex Krizhevsky
7. L. V. D. van der Maaten
8. Radford M. Neal
9. Sam T. Roweis
10. Sumit Chopra

Who trusts David A. Stanley overall

1. Wei Liu
2. Zheda Mai
3. Dongsub Shim
4. Jake Snell

Papers from David A. Stanley's perspective

Ordered by how strongly the researchers David A. Stanley 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Deep Non-linear Feature Mapping for Large-Margin kNN Classification (2009) — 97 citations