T. Chow

Computer Vision and Pattern Recognition · with Wang · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Chow trusts overall

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

  1. Thomas Hofmann
  2. Tomas Mikolov

Papers from T. Chow's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Latent Dirichlet Allocation
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. The Graph Neural Network Model
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers