Steven Diamond

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 85 researchers and is trusted by 65 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Diamond trusts overall

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

  1. Michael Grant
  2. Stephen P. Boyd
  3. Johan Efberg
  4. Ingrid Daubechies
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Kaiming He
  8. Jia Deng
  9. Alex Krizhevsky
  10. Brendan O'Donoghue

Who trusts Steven Diamond overall

  1. Brendan O'Donoghue
  2. Stephen P. Boyd
  3. Aditi Raghunathan
  4. Bartolomeo Stellato
  5. Samuel F. Dodge
  6. Jaehyun Park
  7. Valentina Zantedeschi
  8. Dimitris J. Bertsimas
  9. Reese Pathak
  10. Thomas Lipp

Papers from Steven Diamond's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers