Kainan Peng

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 9 papers; trusts 427 researchers and is trusted by 170 researchers here, as inferred from the citation graph.

Subfields

Whom Kainan Peng trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Oriol Vinyals
  6. Alex Graves
  7. Dzmitry Bahdanau
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Kainan Peng overall

  1. Xu Tan
  2. Wei Ping
  3. Yi Ren
  4. Takuma Okamoto
  5. Jaehyeon Kim
  6. Stanislav Beliaev
  7. Edresson Casanova
  8. Tao Qin
  9. Zhaoxi Mu
  10. Wei-Ning Hsu

Papers from Kainan Peng's perspective

Ordered by how strongly the researchers Kainan Peng 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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