Josh Merel

Reinforcement Learning · 2016–2021

A researcher in the Science corpus: 17 papers; trusts 198 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom Josh Merel trusts overall

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

  1. Diederik P. Kingma
  2. Yuval Tassa
  3. Geoffrey E. Hinton
  4. E. Todorov
  5. Nicolas Manfred Otto Heess
  6. Yoshua Bengio
  7. Richard S. Sutton
  8. Alex Krizhevsky
  9. Sergey Levine
  10. Kaiming He

Who trusts Josh Merel overall

  1. Yuval Tassa
  2. Caglar Gulcehre
  3. Xue Bin Peng
  4. Ziyun Wang
  5. Saran Tunyasuvunakool
  6. Faraz Torabi
  7. Sergey Levine
  8. Siqi Liu
  9. Ye Yuan
  10. Pieter Abbeel

Papers from Josh Merel's perspective

Ordered by how strongly the researchers Josh Merel 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. 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. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers