Wee Peng Tay

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Wee Peng Tay trusts overall

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

  1. Tong Zhang
  2. John N. Tsitsiklis
  3. Paul Tseng
  4. Arthur U. Asuncion
  5. Yoav Freund
  6. Michael I. Jordan
  7. John C. Duchi
  8. Peter L. Bartlett
  9. Cynthia Dwork
  10. Luigi Grippo

Who trusts Wee Peng Tay overall

  1. Ben Kehoe

Papers from Wee Peng Tay's perspective

Ordered by how strongly the researchers Wee Peng Tay 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. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers