Daniel R. Jiang

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel R. Jiang trusts overall

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

  1. Dimitri P. Bertsekas
  2. Ramteen Sioshansi
  3. P. Pardalos
  4. Warrren B Powell
  5. Abraham P. George
  6. Katerina P. Papadaki
  7. Mohammad Shahidehpour
  8. John N. Tsitsiklis
  9. Peter I. Frazier
  10. Aaron Klein

Papers from Daniel R. Jiang's perspective

Ordered by how strongly the researchers Daniel R. Jiang 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. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers