Aviv Gabbay

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 718 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Aviv Gabbay trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Kaiming He
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Max Welling
  10. Ross B. Girshick

Who trusts Aviv Gabbay overall

  1. Yotam Nitzan
  2. Rui Shu
  3. Justin N. M. Pinkney
  4. Zongze Wu
  5. Yuri Viazovetskyi
  6. Amit H. Bermano
  7. Yining Chen
  8. Weihao Xia
  9. Doron Adler
  10. Yangyan Li

Papers from Aviv Gabbay's perspective

Ordered by how strongly the researchers Aviv Gabbay 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers