Chi-Hou Cheang

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chi-Hou Cheang trusts overall

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

  1. Ilya Loshchilov
  2. Oier Mees
  3. Corey Lynch
  4. Geoffrey E. Hinton
  5. Pierre Sermanet
  6. Kaiming He
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Alec Radford

Papers from Chi-Hou Cheang's perspective

Ordered by how strongly the researchers Chi-Hou Cheang 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. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Language Models are Few-Shot Learners (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