Kevin Lin

Artificial Intelligence · with Gardner · 2019–2023

A researcher in the Science corpus: 8 papers; trusts 185 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Lin trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Jimmy Ba
  7. Yann LeCun
  8. Kaiming He
  9. Alex Graves
  10. Sepp Hochreiter

Who trusts Kevin Lin overall

  1. Matt Gardner
  2. Swarnadeep Saha
  3. Jiangming Liu
  4. Ben Bogin
  5. Alon Talmor
  6. Zhuang Li
  7. Dheeru Dua
  8. Jinlan Fu
  9. Jonathan Berant
  10. Daniel Khashabi

Papers from Kevin Lin's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers