Tony R. Martinez

Artificial Intelligence · with Giraud-Carrier · 2003–2014

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #10,114 of 35,345 by trust here, #14,438 by citations
• Model Architectures — 5 citations into it

Whom Tony R. Martinez trusts overall

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

1. Teuvo Kohonen
2. Martin Fodslette Møller
3. David E. Rumelhart
4. Yoav Freund
5. David D. Lewis
6. Tin Kam Ho
7. H. Sebastian Seung
8. Yoshua Bengio
9. James L. McClelland
10. Robert E. Schapire

Who trusts Tony R. Martinez overall

1. Charles H. Martin
2. Harry A. Pierson
3. Yubin Deng
4. Florian Schroff
5. Guillaume Lemaitre
6. Xiwen Yao
7. Yong Guo
8. Dmytro Mishkin
9. Tuong Le
10. Ana Carolina Lorena

Papers from Tony R. Martinez's perspective

Ordered by how strongly the researchers Tony R. Martinez 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. Gradient-based learning applied to document recognition
4. Neural Networks for Pattern Recognition
5. Query by committee
6. Long Short-Term Memory
7. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods

Their papers

• The general inefficiency of batch training for gradient descent learning (2003) — 479 citations
• An instance level analysis of data complexity (2014) — 437 citations