Naomi H Feldman

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Naomi H Feldman trusts overall

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

  1. Thomas Schatz
  2. Radford M. Neal
  3. Mark Johnson
  4. Arthur P. Dempster
  5. Janet F. Werker
  6. T. Griffiths
  7. ChrisD . Frith
  8. Maarten Versteegh
  9. Daniel Povey
  10. Yee Whye Teh

Who trusts Naomi H Feldman overall

  1. Okko Johannes Räsänen
  2. Herman Kamper
  3. Chia-ying Lee
  4. Aren Jansen
  5. Yang Trista Cao
  6. Cory Shain
  7. Sharon Goldwater

Papers from Naomi H Feldman's perspective

Ordered by how strongly the researchers Naomi H 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers