Fabio Ramos

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fabio Ramos trusts overall

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

  1. Dean A. Pomerleau
  2. Sergey Levine
  3. Pieter Abbeel
  4. John Schulman
  5. Alex Krizhevsky
  6. Stéphane Ross
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Richard S. Sutton
  10. Scott Fujimoto

Who trusts Fabio Ramos overall

  1. Ajay Mandlekar

Papers from Fabio Ramos's perspective

Ordered by how strongly the researchers Fabio Ramos 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers