Ran Shadmi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Shadmi trusts overall

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

  1. Ross B. Girshick
  2. Yann LeCun
  3. Xiaosong Wang
  4. Christian Szegedy
  5. Shaoqing Ren
  6. Kaiming He
  7. Alex Krizhevsky
  8. Evan Shelhamer
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Papers from Ran Shadmi's perspective

Ordered by how strongly the researchers Ran Shadmi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers