Antoine Yang

Computer Vision and Pattern Recognition · 2019–2025

A researcher in the Science corpus: 7 papers; trusts 717 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Antoine Yang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Ross B. Girshick
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Antoine Yang overall

  1. Colin White
  2. Marius Thomas Lindauer
  3. Sam Nolen
  4. Yash Savani
  5. Paul Hongsuck Seo
  6. Dongxu Li
  7. Han Shi
  8. Frank Hutter
  9. Pengzhen Ren
  10. Muhammad Maaz

Papers from Antoine Yang's perspective

Ordered by how strongly the researchers Antoine Yang 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers