Ryan C. Julian

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 8 papers; trusts 47 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan C. Julian trusts overall

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

  1. Sergey Levine
  2. John Schulman
  3. Richard S. Sutton
  4. Pieter Abbeel
  5. Chelsea Finn
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Ryan C. Julian overall

  1. Tianhe Yu
  2. Nicklas Hansen
  3. Chelsea Finn
  4. Annie Xie
  5. Suraj Nair

Papers from Ryan C. Julian's perspective

Ordered by how strongly the researchers Ryan C. Julian 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Et al
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers