Ming Gao

Artificial Intelligence · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Gao trusts overall

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

  1. Diederik P. Kingma

Papers from Ming Gao's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers