David G. Stork

1992–2000

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 190 researchers here, as inferred from the citation graph.

Whom David G. Stork trusts overall

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

1. Yann LeCun
2. John A. Hertz
3. Jorma Rissanen
4. John S. Denker

Who trusts David G. Stork overall

1. J. Urgen Schmidhuber
2. Jonathan Frankle
3. Song Han
4. Sara Hooker
5. Elias Frantar
6. Yu Cheng
7. Kevin P. Murphy
8. Sepp Hochreiter
9. Dan Alistarh
10. Georgios Georgiadis

Papers from David G. Stork's perspective

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

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

Their papers

• Pattern classification, 2nd Edition (2000) — 3,610 citations
• Optimal Brain Surgeon and general network pruning (1993)
• Second Order Derivatives for Network Pruning: Optimal Brain Surgeon (1992)