Steven Y. Feng

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 5 papers; trusts 164 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Y. Feng trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kyunghyun Cho
  8. Jacob Devlin
  9. Kaiming He
  10. Jimmy Ba

Who trusts Steven Y. Feng overall

  1. Varun Prashant Gangal
  2. Harrison Lee
  3. Azal Ahmad Khan
  4. Eduard H. Hovy
  5. Jiaao Chen
  6. Teruko Mitamura
  7. Prakhar Gupta
  8. Bosheng Ding
  9. Jiaxu Zhao
  10. Yanghua Xiao

Papers from Steven Y. Feng's perspective

Ordered by how strongly the researchers Steven Y. Feng 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers