Hamza Fawzi

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Hamza Fawzi trusts overall

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

  1. Diederik P. Kingma
  2. E.J. Candes
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever
  8. Alec Radford
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Hamza Fawzi overall

  1. Derui Ding
  2. Elvis Dohmatob
  3. Fabio Pasqualetti
  4. Fei Tao
  5. Saeed Mahloujifar
  6. Zidong Wang
  7. Florian Dörfler
  8. Bai Li
  9. Xiaohua Ge
  10. Qinglin Qi

Papers from Hamza Fawzi's perspective

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

Their papers