Ang Wang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ang Wang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Ang Wang's perspective

Ordered by how strongly the researchers Ang Wang 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. Microsoft COCO: Common Objects in Context
  6. Language Models are Unsupervised Multitask Learners
  7. Long Short-Term Memory
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Improving Language Understanding by Generative Pre-Training

Their papers