Davis W. Blalock

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 196 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Davis W. Blalock trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Michael C. Mozer
  9. Ilya Sutskever
  10. Jia Deng

Who trusts Davis W. Blalock overall

  1. Jonathan Frankle
  2. Alex Renda
  3. Marwa El Halabi
  4. Shishir G. Patil
  5. Mingjie Sun
  6. Jonathan S. Rosenfeld
  7. Hidenori Tanaka
  8. Benoit Steiner
  9. Neil C. Thompson
  10. Tianzong Yu

Papers from Davis W. Blalock's perspective

Ordered by how strongly the researchers Davis W. Blalock 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers