Jason Jo

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 294 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Jo trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Ilya Sutskever
  6. Kaiming He
  7. Yann LeCun
  8. Ian J. Goodfellow
  9. Diederik P. Kingma
  10. Vinod Nair

Who trusts Jason Jo overall

  1. Haohan Wang
  2. Hossein Hosseini
  3. Alexey Ignatiev
  4. Brenden M. Lake
  5. Huan Zhang
  6. Hadi Salman
  7. Vincent Tjeng
  8. Florian Tramèr
  9. A. Serban
  10. Radha Poovendran

Papers from Jason Jo's perspective

Ordered by how strongly the researchers Jason Jo 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers