Guozhong An

Optimization & Training · 1996

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 6 citations into it; #502 of 2,601 by trust here, #1,385 by citations

Whom Guozhong An trusts overall

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

1. Kiyotoshi Matsuoka
2. Geoffrey E. Hinton
3. Tomaso A. Poggio
4. David E. Rumelhart
5. L. Eon Bottou
6. David John Cameron MacKay
7. Federico Girosi
8. Halbert White
9. Stephen Jose Hanson
10. Yves Chauvin

Who trusts Guozhong An overall

1. J. Urgen Schmidhuber
2. Danijar Hafner
3. Xavier Gastaldi
4. Yoshua Bengio
5. Elahe Arani
6. Dickson N. T. How
7. Dustin Tran
8. Salah Rifai
9. Alex Graves
10. Shen Yan

Papers from Guozhong An's perspective

Ordered by how strongly the researchers Guozhong An 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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Effects of Adding Noise During Backpropagation Training on a Generalization Performance (1996)