Josh Bhagat Smith

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Josh Bhagat Smith trusts overall

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

  1. B. Recht
  2. L. Eon Bottou
  3. Geoffrey E. Hinton
  4. Christopher R'e
  5. Diederik P. Kingma
  6. John C. Duchi
  7. Sinno Jialin Pan
  8. Yann LeCun
  9. Lars Kai Hansen
  10. Stephen J. Wright

Who trusts Josh Bhagat Smith overall

  1. Mikhail Iu. Leontev
  2. V. Islenteva
  3. Sidak Pal Singh
  4. Sergey V. Sukhov

Papers from Josh Bhagat Smith's perspective

Ordered by how strongly the researchers Josh Bhagat Smith 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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers