Siong Thye Goh

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Siong Thye Goh trusts overall

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

  1. Foster J. Provost
  2. Donald B. Rubin
  3. Kosuke Imai
  4. José R. Zubizarreta
  5. Jared C. Foster
  6. J. Sniadecki
  7. Paul R. Rosenbaum
  8. Nitesh V. Chawla
  9. Susan Athey
  10. Stefan Wager

Who trusts Siong Thye Goh overall

  1. Cynthia Rudin
  2. Berk Ustun
  3. Elaine Angelino
  4. Marco Morucci
  5. Xinyue Zhu
  6. Ş. Ertekin
  7. Tong Wang
  8. Nicholas Larus-Stone
  9. Been Kim
  10. Vittorio Orlandi

Papers from Siong Thye Goh's perspective

Ordered by how strongly the researchers Siong Thye Goh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. The Nature of Statistical Learning Theory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Regression Shrinkage and Selection via the Lasso
  7. Reinforcement Learning: An Introduction
  8. Estimating causal effects of treatments in randomized and nonrandomized studies.
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers