Brian Zhou

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Zhou trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky

Papers from Brian Zhou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  6. Speech recognition with deep recurrent neural networks
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Learning Hierarchical Features for Scene Labeling
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers