Di Wang

Artificial Intelligence · with Nyberg · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 86 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Di Wang trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Ilya Sutskever
  7. J. Urgen Schmidhuber
  8. Jimmy Ba
  9. Alex Krizhevsky
  10. Dzmitry Bahdanau

Who trusts Di Wang overall

  1. Ming Tan
  2. C. D. Santos
  3. Bing Xiang
  4. Dimitris Pappas
  5. Wei Zhao
  6. Bowen Zhou
  7. Zhou Zhao
  8. Minlie Huang
  9. Weinan Zhang
  10. Mohit Iyyer

Papers from Di Wang's perspective

Ordered by how strongly the researchers Di Wang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers