Jacob V. Gardner

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 6 papers; trusts 249 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob V. Gardner trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Yoshua Bengio
  5. Radford M. Neal
  6. Alex Krizhevsky
  7. L. Eon Bottou
  8. Yann LeCun
  9. Christian Szegedy
  10. Andrew Gordon Wilson

Who trusts Jacob V. Gardner overall

  1. Frederick Tung
  2. Wesley J. Maddox
  3. Andrew Gordon Wilson
  4. Pavel Izmailov
  5. Maximilian Balandat
  6. Sam Daulton
  7. Young Geun Kim
  8. Péter Englert
  9. Greg Mori
  10. Matt J. Kusner

Papers from Jacob V. Gardner's perspective

Ordered by how strongly the researchers Jacob V. Gardner 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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