Steven Horng

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Steven Horng trusts overall

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

  1. Ishna Neamatullah
  2. Charles Peter Elkan
  3. Usama M. Fayyad
  4. David Ruppert
  5. Justin Zobel

Who trusts Steven Horng overall

  1. Hrayr Harutyunyan
  2. Tian Bai
  3. Marzyeh Ghassemi

Papers from Steven Horng's perspective

Ordered by how strongly the researchers Steven Horng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Representation Learning with Contrastive Predictive Coding
  4. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  5. ImageNet classification with deep convolutional neural networks
  6. Learning deep representations by mutual information estimation and maximization
  7. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Scikit-learn: Machine Learning in Python

Their papers