Nicholas Hynes

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas Hynes trusts overall

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

  1. Pascal Paillier
  2. Florian Tramèr
  3. Cynthia Dwork
  4. Saeed Ghadimi
  5. Chiraag Shashikant Juvekar
  6. Ittai Anati
  7. Kaiming He
  8. Tyler Hunt
  9. Martín Abadi
  10. Andrew G. Howard

Who trusts Nicholas Hynes overall

  1. Hanieh Hashemi
  2. Zhongshu Gu
  3. Yongqin Wang

Papers from Nicholas Hynes's perspective

Ordered by how strongly the researchers Nicholas Hynes 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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