Jonathon Byrd

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathon Byrd trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. Lotfi A. Zadeh
  7. Alex Krizhevsky
  8. Kaiming He
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Jonathon Byrd overall

  1. Shiori Sagawa
  2. Aditya Grover
  3. Shaoyu Zhang
  4. Boyan Zhou
  5. Jiawei Ren
  6. Chen Wei
  7. Jialian Wu
  8. Youngkyu Hong
  9. Li Chen
  10. Evan Zheran Liu

Papers from Jonathon Byrd's perspective

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

Their papers