Lili Chen

Artificial Intelligence · with Abbeel · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lili Chen trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Sergey Levine
  4. Kaiming He
  5. Diederik P. Kingma
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Lili Chen overall

  1. Gabriel Recchia
  2. Richard Ngo
  3. Sergey Levine
  4. Ilya Kostrikov
  5. Michael Janner
  6. Benjamin Eysenbach
  7. Scott Fujimoto
  8. Rafael Figueiredo Prudencio
  9. Shixiang Shane Gu
  10. Zhendong Wang

Papers from Lili Chen's perspective

Ordered by how strongly the researchers Lili Chen 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers