Jonathan Schwarz

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 227 researchers and is trusted by 125 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Schwarz trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Alex Graves
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Richard S. Sutton
  9. J. Urgen Schmidhuber
  10. Radford M. Neal

Who trusts Jonathan Schwarz overall

  1. Jorge Armando Mendez Mendez
  2. Gyuhak Kim
  3. Gido M. van de Ven
  4. Liyuan Wang
  5. Zhen Wang
  6. Oleksiy Ostapenko
  7. Jaehong Yoon
  8. Prashant Bhat
  9. Eric Eaton
  10. Xisen Jin

Papers from Jonathan Schwarz's perspective

Ordered by how strongly the researchers Jonathan Schwarz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers