Jonathan D. Chang

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan D. Chang trusts overall

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

  1. David M. Blei
  2. Michael I. Jordan
  3. Jon M. Kleinberg
  4. Pieter Abbeel
  5. Andrew Y. Ng
  6. Geoffrey E. Hinton
  7. Sergey Levine
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Radford M. Neal

Who trusts Jonathan D. Chang overall

  1. Julian McAuley
  2. Charu C. Aggarwal
  3. Yonatan Belinkov
  4. Dana Movshovitz-Attias
  5. Jure Leskovec
  6. Been Kim
  7. Shirui Pan
  8. Uttam Chauhan
  9. William W. Cohen
  10. Jaewon Yang

Papers from Jonathan D. Chang's perspective

Ordered by how strongly the researchers Jonathan D. Chang 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers