Eitan Borgnia

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eitan Borgnia trusts overall

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

  1. Alex Krizhevsky
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Kaiming He
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Prafulla Dhariwal
  10. Yang Song

Who trusts Eitan Borgnia overall

  1. Michael S. Albergo

Papers from Eitan Borgnia's perspective

Ordered by how strongly the researchers Eitan Borgnia 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers