Hao Li

Artificial Intelligence · with Chen · 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 Hao Li trusts

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

  1. Jimmy Ba (in Artificial Intelligence)
  2. Hans Hersbach (in Global and Planetary Change)
  3. Diederik P. Kingma (in Artificial Intelligence)

Papers from Hao Li's perspective

Ordered by how strongly the researchers Hao Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Layer Normalization
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. Automatic differentiation in PyTorch
  7. Decoupled Weight Decay Regularization
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers