Sixin Zhang

Optimization & Training · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 100 researchers and is trusted by 183 researchers here, as inferred from the citation graph.

Subfields

Whom Sixin Zhang trusts overall

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

  1. Yann LeCun
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Martin A. Zinkevich
  5. Alex Krizhevsky
  6. Yurii E. Nesterov
  7. Alekh Agarwal
  8. L. Eon Bottou
  9. John C. Duchi
  10. Ruiliang Zhang

Who trusts Sixin Zhang overall

  1. Jianyu Wang
  2. Yoshua Bengio
  3. Xiangru Lian
  4. Sebastian Ruder
  5. Matthew D. Zeiler
  6. Soham De
  7. Sebastian U. Stich
  8. Leslie N. Smith
  9. James Martens
  10. Hao Yu

Papers from Sixin Zhang's perspective

Ordered by how strongly the researchers Sixin Zhang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers