Joyce Ho

Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Joyce Ho trusts overall

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

  1. Tamara G. Kolda
  2. Brett W. Bader
  3. Eric C. Chi
  4. Evrim Acar
  5. Eric Horvitz
  6. Daniel D. Lee
  7. Ling Bao
  8. Arthur A. Stone
  9. Robert J. Carroll
  10. Yukun Chen

Who trusts Joyce Ho overall

  1. Yejin Kim
  2. Jimeng Sun
  3. Evangelos E. Papalexakis
  4. Yu Cheng
  5. Veljko Pejovic
  6. Zexian Zeng
  7. Ioakeim Perros
  8. Hwanjo Yu
  9. Fei Wang
  10. Peter F. Schulam

Papers from Joyce Ho's perspective

Ordered by how strongly the researchers Joyce Ho 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers