Matt Jordan

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matt Jordan trusts overall

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

  1. Kevin Scaman
  2. Tsui-Wei Weng
  3. Christian Szegedy
  4. Kaiming He
  5. Chih-Hong Cheng
  6. Ian J. Goodfellow
  7. Diederik P. Kingma
  8. Huan Zhang
  9. Geoffrey E. Hinton
  10. Vincent Tjeng

Who trusts Matt Jordan overall

  1. Hsueh-Ti Derek Liu
  2. Francis Williams

Papers from Matt Jordan's perspective

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

Their papers