Keith Grochow

Computer Vision and Pattern Recognition · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Keith Grochow trusts overall

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

  1. Neil D. Lawrence
  2. Charles M. Bishop
  3. Christopher K. I. Williams
  4. Lucas Kovar
  5. Radford M. Neal
  6. Kristen Grauman
  7. Hedvig Kjellström
  8. Yan Li
  9. Matthias W. Seeger
  10. Sam T. Roweis

Who trusts Keith Grochow overall

  1. Neil D. Lawrence
  2. Jasper Snoek
  3. Daniel Holden
  4. William V. Baxter
  5. Raquel Urtasun
  6. David J. Fleet
  7. Chang Xu
  8. Mykhaylo Andriluka
  9. Asha Viswanath
  10. Jack M. Wang

Papers from Keith Grochow's perspective

Ordered by how strongly the researchers Keith Grochow 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers