David J. Schwab

Artificial Intelligence · 2002–2020

A researcher in the Science corpus: 8 papers; trusts 226 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom David J. Schwab trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. X. Zhang
  8. Yann LeCun
  9. Shaoqing Ren
  10. Ilya Sutskever

Who trusts David J. Schwab overall

  1. Shuo-Hui Li
  2. Ryan Larose
  3. Marcello Benedetti
  4. Rose Yu
  5. M. Fishman
  6. Pejman Khadivi
  7. Iris Cong
  8. Tianlong Chen
  9. Pankaj Mehta
  10. Vedran Dunjko

Papers from David J. Schwab's perspective

Ordered by how strongly the researchers David J. Schwab 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers