Michael Thomas Wong

Immunology · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Thomas Wong trusts overall

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

  1. L. V. D. van der Maaten
  2. Sean Bendall
  3. Karthik Shekhar
  4. Geoffrey E. Hinton
  5. Josh Tenenbaum
  6. Erin F. Simonds
  7. B. Becher
  8. Peng Qiu
  9. J. Griffith
  10. Petter Brodin

Who trusts Michael Thomas Wong overall

  1. Anna C. Belkina
  2. Hao Chen

Papers from Michael Thomas Wong's perspective

Ordered by how strongly the researchers Michael Thomas Wong 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers