Jonathan C. Balloch

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan C. Balloch trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Marc'Aurelio Ranzato
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Tyler L. Hayes
  9. Anthony V. Robins
  10. Ilya Sutskever

Who trusts Jonathan C. Balloch overall

  1. Haoxuan Qu

Papers from Jonathan C. Balloch's perspective

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

Their papers