Carlos J. Becker

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Carlos J. Becker trusts overall

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

1. Hal Daumé Iii
2. Eric R. Ziegel
3. Yoav Freund
4. Abhishek Kumar
5. Brian Kulis
6. R. Caruana
7. Theodoros Evgeniou
8. Mathieu Salzmann
9. Kate Saenko
10. Trevor Darrell

Who trusts Carlos J. Becker overall

1. Saeid Motiian
2. Artem Rozantsev
3. Joelle Pineau
4. Mathieu Salzmann
5. Q. Jones
6. Han Zhao

Papers from Carlos J. Becker's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Non-Linear Domain Adaptation with Boosting (2013) — 38 citations