James Townsend

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom James Townsend trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Chris S. Wallace
  4. Danilo Jimenez Rezende
  5. Yann LeCun
  6. Yoshua Bengio
  7. Max Welling
  8. Brendan J. Frey
  9. Radford M. Neal
  10. Aäron van den Oord

Who trusts James Townsend overall

  1. Shifeng Zhang
  2. Yibo Yang
  3. Jonathan Ho
  4. Zhihao Duan
  5. F. Kingma
  6. Ning Kang
  7. Diederik P. Kingma
  8. Pieter Abbeel
  9. Emiel Hoogeboom
  10. Robert Bamler

Papers from James Townsend's perspective

Ordered by how strongly the researchers James Townsend 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. 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