Tianyu Gu

Artificial Intelligence · with Garg · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 79 researchers and is trusted by 75 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyu Gu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Christian Szegedy
  5. Yoshua Bengio
  6. Yuchen Zhang
  7. Ilya Sutskever
  8. Kaiming He
  9. Alex Graves
  10. Shaoqing Ren

Who trusts Tianyu Gu overall

  1. Clement Fung
  2. Alexander Turner
  3. Nicholas Carlini
  4. Ziqi Yang
  5. Muhammad Shayan
  6. Fanchao Qi
  7. Eugene Bagdasarian
  8. Kang Liu
  9. Yuanshun Yao
  10. Florian Tramèr

Papers from Tianyu Gu's perspective

Ordered by how strongly the researchers Tianyu Gu 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers