Nhathai Phan

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it; #9,837 of 35,345 by trust here, #13,962 by citations
• Privacy & Security — 25 citations into it; #571 of 709 by trust here, #499 by citations
• Computer Vision and Pattern Recognition — 22 citations into it; #8,739 of 21,575 by trust here, #13,542 by citations
• Safety, Robustness & Interpretability — 16 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Statistics and Probability — 13 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Nhathai Phan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Cynthia Dwork
4. Alex Krizhevsky
5. Yann LeCun
6. Jing Lei
7. Paul Smolensky
8. Kamalika Chaudhuri
9. L. Eon Bottou
10. A. Bandura

Who trusts Nhathai Phan overall

1. Bargav Jayaraman
2. Fatemehsadat Mirshghallah
3. Liyang Xie
4. David E. Evans
5. Frederik Harder
6. Xintao Wu
7. Ho Bae
8. Mohammadkazem Taram
9. Briland Hitaj
10. Kaixiang Lin

Papers from Nhathai Phan's perspective

Ordered by how strongly the researchers Nhathai Phan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning (2017) — 222 citations
• Preserving differential privacy in convolutional deep belief networks (2017) — 88 citations
• Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction (2016) — 252 citations
• Social restricted Boltzmann Machine: Human behavior prediction in health social networks (2015) — 34 citations
• Analysis of Physical Activity Propagation in a Health Social Network (2014) — 15 citations