Albert Tung

Reinforcement Learning · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Albert Tung trusts overall

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

  1. Dean A. Pomerleau
  2. Oussama Khatib
  3. E. Todorov
  4. Diederik P. Kingma
  5. Sonia Chernova
  6. Yuke Zhu
  7. Kenneth D. Bogert
  8. Pieter Abbeel
  9. Geoffrey E. Hinton
  10. J. Lipton

Who trusts Albert Tung overall

  1. Ajay Mandlekar

Papers from Albert Tung's perspective

Ordered by how strongly the researchers Albert Tung 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers