Steve Chien

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Chien trusts overall

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

  1. Cynthia Dwork
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Shuang Song
  6. Yann LeCun
  7. Kamalika Chaudhuri
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Steve Chien overall

  1. Florian Tramèr
  2. Peter Kairouz
  3. Matthew Jagielski
  4. Yangsibo Huang
  5. Nikhil Kandpal
  6. Dan Boneh
  7. Meghdad Kurmanji
  8. Nicholas Carlini

Papers from Steve Chien's perspective

Ordered by how strongly the researchers Steve Chien 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers