Shiori Sagawa

Artificial Intelligence · with Koh · 2019–2023

A researcher in the Science corpus: 10 papers; trusts 503 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Shiori Sagawa trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ilya Sutskever
  8. Vladimir Naumovich Vapnik
  9. John C. Duchi
  10. Christian Szegedy

Who trusts Shiori Sagawa overall

  1. Ananya Kumar
  2. Percy Liang
  3. Polina Kirichenko
  4. Sergey Levine
  5. Evan Zheran Liu
  6. Xiaochuang Han
  7. Pang Wei Koh
  8. Aditi Raghunathan
  9. Elliot Creager
  10. Marvin Zhang

Papers from Shiori Sagawa's perspective

Ordered by how strongly the researchers Shiori Sagawa 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers