Jing Bai

Artificial Intelligence · with Tong · 2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Bai trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Max Welling (in Artificial Intelligence)
  3. Geoffrey E. Hinton (in Artificial Intelligence)
  4. Oriol Vinyals (in Artificial Intelligence)
  5. Yoshua Bengio (in Artificial Intelligence)
  6. Michael Carbin (in Efficiency & Compression)
  7. Jonathan Frankle (in Efficiency & Compression)
  8. Ilya Sutskever (in Artificial Intelligence)

Papers from Jing Bai's perspective

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

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

Their papers