Kun Kuang

Artificial Intelligence · with Han · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Kuang trusts

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

  1. Yuhai Wu (in Artificial Intelligence)
  2. Alex Hai Wang (in Artificial Intelligence)

Papers from Kun Kuang's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Improving Language Understanding by Generative Pre-Training
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  10. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)

Their papers