Wei Lin

Representation & Self-Supervised Learning · with Chen · 2015

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

Subfields

Whom Wei Lin trusts overall

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

  1. Radford M. Neal
  2. Peter D. Turney
  3. Saif M. Mohammad
  4. Wen-tau Yih
  5. William W. Cohen
  6. Geoffrey E. Hinton

Who trusts Wei Lin overall

  1. Yang Peng
  2. Qian Chen
  3. Hui Jiang

Papers from Wei Lin's perspective

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

  1. Natural Language Processing (Almost) from Scratch
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Pattern Recognition and Machine Learning
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers