John Tran

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 79 researchers and is trusted by 1,210 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #1,504 of 35,345 by trust here, #1,481 by citations
• Computer Vision and Pattern Recognition — 36 citations into it; #1,239 of 21,575 by trust here, #868 by citations
• Efficiency & Compression — 22 citations into it; #27 of 1,264 by trust here, #24 by citations
• Model Architectures — 17 citations into it

Whom John Tran trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Karen Simonyan
5. Yoshua Bengio
6. Ilya Sutskever
7. Andrew Zisserman
8. Christian Szegedy
9. Kaiming He
10. L. Eon Bottou

Who trusts John Tran overall

1. Song Han
2. Ji Lin
3. Yang He
4. Jonathan Frankle
5. Han Cai
6. Arun Mallya
7. Zhaowei Cai
8. Yunhe Wang
9. Wujie Wen
10. Yihui He

Papers from John Tran's perspective

Ordered by how strongly the researchers John 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. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning both Weights and Connections for Efficient Neural Network (2015) — 7,826 citations
• cuDNN: Efficient Primitives for Deep Learning (2014) — 1,991 citations
• DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow (2016) — 83 citations
• DSD: Dense-Sparse-Dense Training for Deep Neural Networks (2016) — 219 citations