Yongxin Ni

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongxin Ni trusts overall

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

  1. Steffen Rendle

Papers from Yongxin Ni's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  7. Improving Language Understanding by Generative Pre-Training
  8. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  9. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  10. Decoupled Weight Decay Regularization

Their papers