Emily Zheng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emily Zheng trusts overall

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

  1. Geoffrey E. Hinton
  2. L. V. D. van der Maaten
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Jacob Devlin

Papers from Emily Zheng's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GloVe: Global Vectors for Word Representation
  8. Language Models are Unsupervised Multitask Learners
  9. Efficient Estimation of Word Representations in Vector Space
  10. ImageNet: A large-scale hierarchical image database

Their papers