D. Zhu

Natural Language Processing · with Chang · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Zhu trusts overall

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

  1. Mikel Artetxe
  2. Sepp Hochreiter
  3. Guillaume Lample
  4. Geoffrey E. Hinton

Papers from D. Zhu's perspective

Ordered by how strongly the researchers D. Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Language Models are Unsupervised Multitask Learners
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers