Rosanne Liu

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 10 papers; trusts 533 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Rosanne Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Alex Graves
  10. Karen Simonyan

Who trusts Rosanne Liu overall

  1. Hengshuang Zhao
  2. Stanislav Fort
  3. Juan R. Terven
  4. Gyuhak Kim
  5. Younggun Lee
  6. Pim de Haan
  7. Thibault Buhet
  8. Sungwook Lee
  9. Xinyao Wang
  10. Xinlong Wang

Papers from Rosanne Liu's perspective

Ordered by how strongly the researchers Rosanne Liu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers