Lei Hou

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Hou trusts overall

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

  1. Geoffrey E. Hinton

Papers from Lei Hou's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. ImageNet classification with deep convolutional neural networks
  4. Layer Normalization
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Long Short-Term Memory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  10. Improving Language Understanding by Generative Pre-Training

Their papers