Lin Chen

Artificial Intelligence · with Karbasi · 2020

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Chen trusts overall

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

  1. Francis R. Bach
  2. Youngmin Cho
  3. Alberto Bietti
  4. Philippe Flajolet
  5. Sanjeev Arora
  6. Simon Shaolei Du
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Arthur Jacot
  10. Yoshua Bengio

Who trusts Lin Chen overall

  1. Yuval Belfer
  2. Amnon Geifman
  3. Meirav Galun
  4. Ryo Karakida

Papers from Lin Chen's perspective

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

Their papers