Fangyu Zou

Optimization & Training · 2018

A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Fangyu Zou trusts overall

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

  1. L. Eon Bottou
  2. Alex Krizhevsky
  3. Yurii E. Nesterov
  4. Geoffrey E. Hinton
  5. Alex Graves
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Matthew D. Zeiler
  9. John C. Duchi
  10. Yann LeCun

Who trusts Fangyu Zou overall

  1. Jingzhao Zhang
  2. Yuege Xie
  3. Matthew Staib
  4. Li Shen
  5. Xiaoxia Wu
  6. Dami Choi
  7. Sashank J. Reddi
  8. Cong Xie
  9. Zequn Jie
  10. Suvrit Sra

Papers from Fangyu Zou's perspective

Ordered by how strongly the researchers Fangyu Zou 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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