W. Yu

Artificial Intelligence · Trans. Mach. Learn. Res. · 2020–2024

A researcher in the Science corpus: 7 papers; trusts 168 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom W. Yu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Oriol Vinyals
  9. Alex Graves
  10. Kyunghyun Cho

Who trusts W. Yu overall

  1. Chenguang Zhu
  2. Zhihan Zhang
  3. Alex Troy Mallen
  4. Yichong Xu
  5. Meng Jiang
  6. Harsh Trivedi
  7. Xiang Ren
  8. Akari Asai
  9. Yu Wang
  10. Zhengbao Jiang

Papers from W. Yu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers