Daniel M. Low

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel M. Low trusts overall

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

  1. Scott M. Lundberg
  2. Bryce Goodman
  3. Naveed Akhtar
  4. Takaya Saito
  5. Leland McInnes
  6. Nicholas Cummins
  7. Inbal Nahum-Shani
  8. Kathleen R. Merikangas
  9. Fabien Ringeval
  10. Su-In Lee

Who trusts Daniel M. Low overall

  1. Shiva Maleki Varnosfaderani

Papers from Daniel M. Low's perspective

Ordered by how strongly the researchers Daniel M. Low 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers