Dan Feldman

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 12 papers; trusts 429 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Feldman trusts overall

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

  1. Sariel Har-Peled
  2. Michael Langberg
  3. Alex Krizhevsky
  4. Kenneth L. Clarkson
  5. Pankaj Kumar Agarwal
  6. Michael W. Mahoney
  7. S. Muthu Muthukrishnan
  8. Geoffrey E. Hinton
  9. Yann LeCun
  10. Cynthia Dwork

Who trusts Dan Feldman overall

  1. Mario Lucic
  2. David P. Woodruff
  3. Trevor Campbell
  4. Olivier Bachem
  5. Andreas Krause
  6. Artem Barger
  7. Matthew Faulkner
  8. Ben Mussay
  9. Tamara Broderick
  10. Yingyu Liang

Papers from Dan Feldman's perspective

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

Their papers