Benjamin Rosman

Reinforcement Learning · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Rosman trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Gunnar E. Carlsson
  4. Bernhard Schölkopf
  5. Dan Pelleg
  6. E. Todorov
  7. Nicholas A. Roy
  8. Yoshua Bengio
  9. Peter S. Dayan
  10. Geoffrey E. Hinton

Who trusts Benjamin Rosman overall

  1. Oier Mees
  2. Nichola Abdo
  3. Oliver Kroemer
  4. Hema Swetha Koppula
  5. Mladen Mazuran
  6. Wolfram Burgard

Papers from Benjamin Rosman's perspective

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

Their papers