Y. Niu

Artificial Intelligence · with Wang · 2021

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 Y. Niu trusts overall

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

  1. Jacob Devlin
  2. Jeffrey Pennington
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Yoshua Bengio

Papers from Y. Niu's perspective

Ordered by how strongly the researchers Y. Niu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. GloVe: Global Vectors for Word Representation
  9. Language Models are Unsupervised Multitask Learners
  10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers