Renda Bao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Renda Bao trusts overall

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

  1. Baoguang Shi
  2. Oriol Vinyals
  3. Kaiming He
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Satanjeev Banerjee
  8. Alex Krizhevsky
  9. Jacob Devlin
  10. Yoshua Bengio

Papers from Renda Bao's perspective

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

Their papers