Mark K. Ho

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 6 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mark K. Ho trusts overall

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

  1. Richard S. Sutton
  2. W. B. Knox
  3. Pieter Abbeel
  4. Richard Bellman
  5. Noah D. Goodman
  6. Andrew Barto
  7. Andrew Y. Ng
  8. Geoffrey E. Hinton
  9. Patrick Shafto
  10. Martin L. Puterman

Who trusts Mark K. Ho overall

  1. Anis Najar
  2. Bharat Singh
  3. Adam Lerer
  4. Diana Borsa
  5. Alex Peysakhovich
  6. Ruohan Zhang
  7. Olivier Sigaud
  8. Rajesh Kumar
  9. Theodore R. Sumers
  10. Thanh Thi Nguyen

Papers from Mark K. Ho's perspective

Ordered by how strongly the researchers Mark K. 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. 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. Reinforcement Learning: An Introduction
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers