Jiangling Kuang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiangling Kuang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Ronald J. Williams
  6. Sepp Hochreiter
  7. Diederik P. Kingma
  8. Noam Shazeer
  9. J. Urgen Schmidhuber
  10. Oriol Vinyals

Papers from Jiangling Kuang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Layer Normalization

Their papers