Jonathan Taylor

Optimization & Training · with Daniel · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 10 citations into it; #1,585 of 2,601 by trust here, #1,904 by citations
• Artificial Intelligence — 9 citations into it; #18,214 of 35,345 by trust here, #22,463 by citations

Whom Jonathan Taylor trusts overall

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

1. Matthew D. Zeiler
2. Shun-ichi Amari
3. Andrea Vedaldi
4. John C. Duchi
5. Richard S. Sutton
6. Geoffrey E. Hinton
7. Diederik P. Kingma
8. Yoshua Bengio
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Jonathan Taylor overall

1. Biye Jiang
2. Mahesh Chandra Mukkamala
3. Ursula Challita
4. Zhen Xu
5. Chang Xu
6. Jie Fu

Papers from Jonathan Taylor's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Step Size Controllers for Robust Neural Network Training (2016) — 96 citations