Alireza Makhzani

Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 7 papers; trusts 602 researchers and is trusted by 627 researchers here, as inferred from the citation graph.

Subfields

Whom Alireza Makhzani trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ruslan Salakhutdinov
  7. Ilya Sutskever
  8. Adam Coates
  9. Andrew Y. Ng
  10. Radford M. Neal

Who trusts Alireza Makhzani overall

  1. Fei Ye
  2. Chunyuan Li
  3. Hyunjik Kim
  4. Charu C. Aggarwal
  5. Michael Tschannen
  6. Yoshua Bengio
  7. Karl Ridgeway
  8. Ngoc-Trung Tran
  9. Sergey I. Nikolenko
  10. Qiang Liu

Papers from Alireza Makhzani's perspective

Ordered by how strongly the researchers Alireza Makhzani 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers