John A. Hertz

1991–1994

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 98 researchers here, as inferred from the citation graph.

Whom John A. Hertz trusts overall

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

1. Terrence J. Sejnowski
2. Yann LeCun
3. Anders Krogh
4. David John Cameron MacKay
5. Charles R. Rosenberg
6. Geoffrey E. Hinton

Who trusts John A. Hertz overall

1. Xin Yao
2. E. T. Rolls
3. Olvi L. Mangasarian
4. J. Urgen Schmidhuber
5. Shumeet Baluja
6. Stefano Fusi
7. Walter Senn
8. Peter L. Bartlett
9. Toshiyuki TANAKA
10. Motonobu Hattori

Papers from John A. Hertz's perspective

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

1. Optimal Brain Damage
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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Generalization by Weight-Elimination with Application to Forecasting
9. Parallel Networks that Learn to Pronounce English Text
10. Introduction to the theory of neural computation

Their papers

• Introduction to the theory of neural computation (1994)
• Statistical Mechanics of Learning in a Large Committee Machine (1992)
• Generalization in a linear perceptron in the presence of noise (1992)
• A Simple Weight Decay Can Improve Generalization (1991)