Yihe Tang

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yihe Tang trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Daniel Whalen
  4. Sergey Ioffe
  5. Christian Szegedy
  6. Marco Gori
  7. L. V. D. van der Maaten
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Franco Scarselli

Who trusts Yihe Tang overall

  1. Stanislas Polu
  2. Kaiyu Yang
  3. Yuhuai Wu
  4. Kshitij Bansal
  5. Justin Johnson
  6. Daniel Huang
  7. Jiayi Wei
  8. Ilya Sutskever

Papers from Yihe Tang's perspective

Ordered by how strongly the researchers Yihe Tang 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. Long Short-Term Memory
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers