Thomas Wang

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 9 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Wang trusts overall

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

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

Who trusts Thomas Wang overall

  1. Nikhil Kandpal
  2. Teven Le Scao
  3. Bonan Min
  4. Stella Biderman
  5. Guilherme Penedo
  6. Hyung Won Chung
  7. Yi Tay

Papers from Thomas Wang's perspective

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