Le Trieu Phong

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Le Trieu Phong trusts overall

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

  1. Richard Lindner
  2. Payman Mohassel
  3. John C. Duchi
  4. Yoshinori Aono
  5. Chris Peikert
  6. Martín Abadi
  7. Keith Bonawitz
  8. Kristin E. Lauter
  9. Yupeng Zhang
  10. Oded Goldreich

Who trusts Le Trieu Phong overall

  1. Qiang Yang
  2. Lingjuan Lyu
  3. David Enthoven
  4. Praneeth Vepakomma
  5. Guowen Xu
  6. Jing Zhang
  7. Hangyu Zhu
  8. Hongwei Li
  9. Xuefei Yin
  10. Nguyen Binh Truong

Papers from Le Trieu Phong's perspective

Ordered by how strongly the researchers Le Trieu Phong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Deep Learning with Differential Privacy
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

Their papers