Toan Tran

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #12,522 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 11 citations into it; #20,014 of 35,345 by trust here, #15,542 by citations
• Generative Models — 8 citations into it
• Model Architectures — 5 citations into it

Whom Toan Tran trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. X. Zhang
6. Yoshua Bengio
7. Ilya Sutskever
8. Individualized Treat
9. Shaoqing Ren
10. Augustus Odena

Who trusts Toan Tran overall

1. Ekin Dogus Cubuk
2. Barret Zoph
3. Tong Niu
4. Elad Hoffer
5. Shuxiao Chen
6. Quoc V. Le
7. Hung-Yu Tseng
8. Junfan Wang
9. Sufeng Duan
10. Rafael Felix

Papers from Toan Tran's perspective

Ordered by how strongly the researchers Toan Tran 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• A Bayesian Data Augmentation Approach for Learning Deep Models (2017) — 245 citations