Kai Hu

Artificial Intelligence · with Du · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Hu trusts overall

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

  1. Jiayu Du
  2. Sepp Hochreiter
  3. Marco Tagliasacchi
  4. Aäron van den Oord
  5. Geoffrey E. Hinton
  6. Hui Bu
  7. Yunpeng Li
  8. Guoguo Chen
  9. Yoshua Bengio
  10. Vassil Panayotov

Papers from Kai Hu's perspective

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

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

Their papers