Hyondong Oh

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyondong Oh trusts overall

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

  1. J. Urgen Schmidhuber
  2. Richard S. Sutton
  3. Ronald J. Williams
  4. Gavin E. Crooks
  5. Ian Osband
  6. Geoffrey E. Hinton
  7. Marc G. Bellemare
  8. Andrew Barto
  9. Yoshua Bengio
  10. Diederik P. Kingma

Papers from Hyondong Oh's perspective

Ordered by how strongly the researchers Hyondong Oh 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. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Human-level control through deep reinforcement learning
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers