Jessie Huang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jessie Huang trusts overall

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

  1. Marco Cuturi
  2. Diederik P. Kingma
  3. Cédric Villani
  4. Danilo Jimenez Rezende
  5. Jean-David Benamou
  6. George Papamakarios
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Salah Rifai
  10. T. Chen

Who trusts Jessie Huang overall

  1. Michael S. Albergo

Papers from Jessie Huang's perspective

Ordered by how strongly the researchers Jessie Huang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet Large Scale Visual Recognition Challenge
  10. ImageNet: A large-scale hierarchical image database

Their papers