Qing‐Long Han

Artificial Intelligence · with Liu · 2023

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing‐Long Han trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Richard S. Sutton

Papers from Qing‐Long Han's perspective

Ordered by how strongly the researchers Qing‐Long Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. Gradient-based learning applied to document recognition
  10. Language Models are Unsupervised Multitask Learners

Their papers