Michael Zeng

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 23 papers; trusts 874 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Zeng trusts overall

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

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

Who trusts Michael Zeng overall

  1. Mihir Kale
  2. Siva Reddy
  3. Siqi Sun
  4. Shuyang Gao
  5. Christian Geishauser
  6. Chenguang Zhu
  7. Andrea Madotto

Papers from Michael Zeng's perspective

Ordered by how strongly the researchers Michael Zeng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers