Pengfei He

Artificial Intelligence · with Choi · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pengfei He trusts

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

  1. Yejin Choi (in Artificial Intelligence)
  2. Peter Clark (in Natural Language Processing)
  3. Ronan Le Bras (in Natural Language Processing)
  4. Richard Socher (in Artificial Intelligence)

Papers from Pengfei He's perspective

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

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

Their papers