Kaiyang Guo

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaiyang Guo trusts overall

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

  1. Alec Radford
  2. J. Bitchener
  3. Miao Yang
  4. Jacob Devlin
  5. Jeff Wu
  6. Long Ouyang
  7. Nisan Stiennon
  8. Stuart Young
  9. Richard G. Badger
  10. Ming-Wei Chang

Papers from Kaiyang Guo's perspective

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

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

Their papers