Ted Xiao

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 16 papers; trusts 377 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ted Xiao trusts overall

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

  1. Richard S. Sutton
  2. Sergey Levine
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Pieter Abbeel
  8. Chelsea Finn
  9. Yann LeCun
  10. Kaiming He

Who trusts Ted Xiao overall

  1. Corey Lynch
  2. Pierre Sermanet
  3. Sergey Levine
  4. Chelsea Finn
  5. Wenlong Huang
  6. Suraj Nair
  7. Anthony Brohan
  8. Julian Ibarz
  9. Harris Chan
  10. Kuang-Huei Lee

Papers from Ted Xiao's perspective

Ordered by how strongly the researchers Ted Xiao 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. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers