Gary Wang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 58 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Gary Wang trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Ronald J. Williams
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yu Zhang
  7. William Chan
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Gary Wang overall

  1. Zhehuai Chen
  2. Peidong Wang
  3. Yu Zhang
  4. Fengpeng Yue
  5. Andrew Rosenberg
  6. Abdel-rahman Mohamed
  7. Tara N. Sainath

Papers from Gary Wang's perspective

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

Their papers