Peng-Jen Chen

Artificial Intelligence · with Wang · 2019–2023

A researcher in the Science corpus: 15 papers; trusts 193 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Peng-Jen Chen trusts overall

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

  1. Matt Post
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Rico Sennrich
  6. Myle Ott
  7. Ilya Sutskever
  8. Philipp Koehn
  9. Alex Graves
  10. Ashish Vaswani

Who trusts Peng-Jen Chen overall

  1. Jiatao Gu
  2. Ye Jia
  3. Changhan Wang
  4. Vishrav Chaudhary
  5. Raj Dabre
  6. Yinhan Liu
  7. Paul-Ambroise Duquenne
  8. Jiajun Shen
  9. Mengzhou Xia
  10. Xian Li

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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers