Robert W. Platt

Reinforcement Learning · 2016–2018

A researcher in the Science corpus: 7 papers; trusts 256 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Robert W. Platt trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Richard S. Sutton
  4. Yoshua Bengio
  5. Tom Schaul
  6. Volodymyr Mnih
  7. Andrew Barto
  8. Alex Krizhevsky
  9. Rosen Diankov
  10. Diederik P. Kingma

Who trusts Robert W. Platt overall

  1. Ofir Nachum
  2. Andy Zeng
  3. Alexander C. Li
  4. Sergey Levine
  5. Peter R. Florence
  6. Douglas Morrison
  7. Marcus Gualtieri
  8. Jeffrey Mahler
  9. Lucas Manuelli
  10. Fei Xia

Papers from Robert W. Platt's perspective

Ordered by how strongly the researchers Robert W. Platt 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers