Chenxin Ma

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 6 papers; trusts 95 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Chenxin Ma trusts overall

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

  1. Peter Richtárik
  2. Martin Takác
  3. Shai Shalev-Shwartz
  4. Tianbao Yang
  5. Tong Zhang
  6. Yurii E. Nesterov
  7. Yuchen Zhang
  8. Ohad Shamir
  9. Stephen J. Wright
  10. L. Eon Bottou

Who trusts Chenxin Ma overall

  1. Jakub Konecný
  2. Virginia Smith
  3. Konstantin Mishchenko
  4. Peter Richtárik
  5. Martin Takác
  6. Jason D. Lee
  7. Martin Jaggi
  8. Sai Praneeth Karimireddy
  9. Simone Forte
  10. Shusen Wang

Papers from Chenxin Ma's perspective

Ordered by how strongly the researchers Chenxin Ma 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers