Stephen Tu

Artificial Intelligence · with Recht · 2015–2023

A researcher in the Science corpus: 9 papers; trusts 53 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Tu trusts overall

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

  1. E.J. Candes
  2. B. Recht
  3. Joel A. Tropp
  4. Po-Ling Loh
  5. Geoffrey E. Hinton
  6. Deanna Needell
  7. David A. McAllester
  8. John Schulman
  9. Stéphane Ross
  10. Alex Krizhevsky

Who trusts Stephen Tu overall

  1. Samet Oymak
  2. Simon Shaolei Du
  3. Srinadh Bhojanapalli
  4. Sarah Dean
  5. Yuejie Chi
  6. Yudong Chen
  7. Qiuwei Li
  8. G. Wang
  9. Dong Yin
  10. Liam Collins

Papers from Stephen Tu's perspective

Ordered by how strongly the researchers Stephen Tu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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