Yu Xia

Artificial Intelligence · with Li · 2021

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

Subfields

Whom Yu Xia trusts overall

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

  1. Ilya Loshchilov
  2. Jeffrey Pennington
  3. Jacob Devlin
  4. Richard Socher
  5. Yu Sun
  6. Kaiming He
  7. Geoffrey E. Hinton

Papers from Yu Xia's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GloVe: Global Vectors for Word Representation
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers