Bai Li

Artificial Intelligence · with Carin · 2018

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bai Li trusts overall

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

  1. Nicholas Carlini
  2. Kaiming He
  3. Ian J. Goodfellow
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Anish Athalye
  10. Ilya Sutskever

Who trusts Bai Li overall

  1. Huan Zhang
  2. Jeremy M. Cohen
  3. Florian Tramèr
  4. Hadi Salman
  5. Elan Rosenfeld
  6. Yair Carmon
  7. Hongge Chen
  8. J. Kolter
  9. Kaidi Xu
  10. Ali Shafahi

Papers from Bai Li's perspective

Ordered by how strongly the researchers Bai 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers