Baohong Lv

Computer Vision and Pattern Recognition · 2022

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 Baohong Lv trusts overall

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

  1. Alex Krizhevsky

Papers from Baohong Lv's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Learning Multiple Layers of Features from Tiny Images
  6. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. ImageNet classification with deep convolutional neural networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)

Their papers