Junlin Wu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junlin Wu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoon Kim
  4. Alec Go
  5. Jonathon Read
  6. Saif M. Mohammad
  7. Yann LeCun

Papers from Junlin Wu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Efficient Estimation of Word Representations in Vector Space
  4. Improving neural networks by preventing co-adaptation of feature detectors
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers