Peng Chen

Artificial Intelligence · with Meng · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Chen trusts overall

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

  1. Yann LeCun
  2. Radford M. Neal
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Xavier Glorot
  7. Ananthram Swami
  8. Jimmy Ba
  9. L. Eon Bottou
  10. Mario Bkassiny

Papers from Peng Chen's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers