Joshua Tobin

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 231 researchers and is trusted by 124 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua Tobin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. David G. Lowe
  4. Hugo Larochelle
  5. Alex Krizhevsky
  6. Aäron van den Oord
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Jimmy Ba
  10. E. Todorov

Who trusts Joshua Tobin overall

  1. Sergey Levine
  2. Marcin Andrychowicz
  3. Stephen James
  4. Pieter Abbeel
  5. Fereshteh Sadeghi
  6. Shansi Zhang
  7. Chelsea Finn
  8. Yuke Zhu
  9. Lerrel Pinto
  10. Kristen Grauman

Papers from Joshua Tobin's perspective

Ordered by how strongly the researchers Joshua Tobin 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers