Vivian Liu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vivian Liu trusts overall

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

  1. Jacob Devlin
  2. Aylin Caliskan
  3. Alec Radford
  4. Aditya Ramesh
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Ming-Wei Chang
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Joanna J. Bryson

Who trusts Vivian Liu overall

  1. Jonas Oppenlaender
  2. D. Epstein
  3. Piotr Wojciech Mirowski
  4. Allan Jabri
  5. Dylan Banarse
  6. Leonardo Banh

Papers from Vivian Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers