David Venuto

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Venuto trusts overall

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

  1. Richard S. Sutton
  2. Satinder Singh
  3. Petros Christodoulou
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. E. Todorov
  7. Sergey Levine
  8. Diederik P. Kingma
  9. Scott Fujimoto
  10. J. Urgen Schmidhuber

Who trusts David Venuto overall

  1. Thomas Mesnard

Papers from David Venuto's perspective

Ordered by how strongly the researchers David Venuto 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers