Peng‐Jen Chen

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng‐Jen Chen trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)
  2. Franz Joseph Och (in Artificial Intelligence)

Papers from Peng‐Jen Chen's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Understanding the difficulty of training deep feedforward neural networks
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ADADELTA: An Adaptive Learning Rate Method
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Unsupervised Neural Machine Translation

Their papers