Yewen Pu

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Yewen Pu trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Jimmy Ba
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Pieter Abbeel
  9. Yann LeCun
  10. Kyunghyun Cho

Who trusts Yewen Pu overall

  1. Michihiro Yasunaga
  2. Aditya Kanade
  3. Rahul Gupta
  4. Swarat Chaudhuri
  5. Ke Wang
  6. Rishabh Singh
  7. Sahil Bhatia
  8. Percy Liang
  9. Yu Wang
  10. Marko Vasic

Papers from Yewen Pu's perspective

Ordered by how strongly the researchers Yewen Pu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers