Baizhou Huang

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baizhou Huang trusts overall

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

  1. Zach Nussbaum
  2. Rohith Kuditipudi
  3. Angela Fan
  4. John Kirchenbauer
  5. John X. Morris
  6. John Thickstun
  7. Yacine Jernite
  8. Jonas Geiping
  9. Tatsunori B. Hashimoto
  10. Brandon Duderstadt

Papers from Baizhou Huang's perspective

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

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

Their papers