Tyler Hunt

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tyler Hunt trusts overall

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

  1. Alex Krizhevsky
  2. Andrew Baumann
  3. Morris Dworkin
  4. Karen Simonyan
  5. Stephen Checkoway
  6. Sergey Ioffe
  7. Reza Shokri
  8. Marcus Peinado
  9. Geoffrey E. Hinton
  10. Felix Schuster

Who trusts Tyler Hunt overall

  1. Fatemehsadat Mireshghallah
  2. Zecheng He
  3. Tianwei Zhang
  4. Taegyeong Lee
  5. Florian Tramèr
  6. Nicholas Hynes
  7. Hanieh Hashemi
  8. Fan Mo
  9. Yeongjin Jang
  10. Cheng Tan

Papers from Tyler Hunt's perspective

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

Their papers