Roy Frostig

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 8 papers; trusts 160 researchers and is trusted by 506 researchers here, as inferred from the citation graph.

Subfields

Whom Roy Frostig trusts overall

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

  1. Geoffrey E. Hinton
  2. Shai Shalev-Shwartz
  3. Alex Krizhevsky
  4. Tong Zhang
  5. Yoshua Bengio
  6. Yurii E. Nesterov
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Roy Frostig overall

  1. Zeyuan Allen-Zhu
  2. Greg Yang
  3. Percy Liang
  4. Jakub Konecný
  5. Jason D. Lee
  6. Sam Schoenholz
  7. Yuanzhi Li
  8. Jonathan Berant
  9. Prateek Jain
  10. Wen-tau Yih

Papers from Roy Frostig's perspective

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

Their papers