Gokul Swamy

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gokul Swamy trusts overall

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

  1. Sergey Levine
  2. Pieter Abbeel
  3. John Schulman
  4. Diederik P. Kingma
  5. G. Tesauro
  6. Brian D. Ziebart
  7. J. Bagnell
  8. Geoffrey E. Hinton
  9. Chelsea Finn
  10. Stéphane Ross

Papers from Gokul Swamy's perspective

Ordered by how strongly the researchers Gokul Swamy 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers