Jack M. Wang

Computer Vision and Pattern Recognition · 2005–2012

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jack M. Wang trusts overall

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

  1. David John Cameron MacKay
  2. Neil D. Lawrence
  3. Carl E. Rasmussen
  4. Ajay Seth
  5. Radford M. Neal
  6. Keith Grochow
  7. Igor Mordatch
  8. KangKang Yin
  9. Samuel R. Hamner
  10. Eftychios Sifakis

Who trusts Jack M. Wang overall

  1. Neil D. Lawrence
  2. Phillip Boyle
  3. Michael A. Osborne
  4. Xue Bin Peng
  5. Thang D. Bui
  6. Christoph Gustav Keller
  7. Raquel Urtasun
  8. Julieta Martinez
  9. Asha Viswanath
  10. Andrei Zanfir

Papers from Jack M. Wang's perspective

Ordered by how strongly the researchers Jack M. Wang 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Information Theory, Inference, and Learning Algorithms
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Bayesian learning for neural networks
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers