Tess Lee Hellebrekers

2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tess Lee Hellebrekers trusts overall

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

  1. Nitish Srivastava
  2. Dinesh Jayaraman
  3. Geoffrey E. Hinton
  4. Florian Schroff
  5. Ting-Li Chen
  6. Ross Goroshin

Papers from Tess Lee Hellebrekers's perspective

Ordered by how strongly the researchers Tess Lee Hellebrekers 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. Gradient-based learning applied to document 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. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers