Justin Hsu

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 15 papers; trusts 83 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Justin Hsu trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Gilles Barthe
  4. Moritz Hardt
  5. Aaron Roth
  6. Kobbi Nissim
  7. Anupam Gupta
  8. Daniel Kifer
  9. Kamalika Chaudhuri
  10. Kunal Talwar

Who trusts Justin Hsu overall

  1. Danfeng Zhang
  2. Gilles Barthe
  3. Daniel Kifer
  4. Jinyuan Jia
  5. Richard Nock
  6. Raef Bassily
  7. Arjun Narayan
  8. Zeyu Ding
  9. Adam D. Smith
  10. Tianhao Wang

Papers from Justin Hsu's perspective

Ordered by how strongly the researchers Justin Hsu 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. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Calibrating Noise to Sensitivity in Private Data Analysis
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Intriguing properties of neural networks

Their papers