Peng Jin

Artificial Intelligence · Conference on Empirical Methods in Natural Language Processing · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 302 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Jin trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Yann LeCun
  9. Karen Simonyan
  10. Alec Radford

Who trusts Peng Jin overall

  1. Lin Xu
  2. Xiaoqian Shen
  3. Yilin Zhao

Papers from Peng Jin's perspective

Ordered by how strongly the researchers Peng Jin 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers