D. Sheldon

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 9 papers; trusts 90 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom D. Sheldon trusts overall

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

  1. Theodoros Evgeniou
  2. Charles A. Micchelli
  3. Massimiliano Pontil
  4. Adam D. Smith
  5. Stephen T. Joy
  6. Peter E. Rossi
  7. Justin Basilico
  8. Frank McSherry
  9. Cynthia Dwork
  10. Tom Minka

Who trusts D. Sheldon overall

  1. Sergey Feldman
  2. Luca Baldassarre
  3. Lorenzo Rosasco
  4. Mauricio A Álvarez
  5. Lixin Duan
  6. Fei Ye
  7. Maya R. Gupta
  8. Hang Li
  9. Ivor Wai-Hung Tsang
  10. Andrew Béla Frigyik

Papers from D. Sheldon's perspective

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

Their papers