Joshua Goodman

Natural Language Processing · with Carvalho · 1996–2006

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 1,037 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua Goodman trusts overall

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

  1. R. Rosenfeld
  2. Irving John Good
  3. Frederick Jelinek
  4. Slava M. Katz
  5. Eugene Charniak
  6. Jerome R. Bellegarda
  7. Peter F. Brown
  8. Stephen Della Pietra
  9. V. D. Pietra
  10. Yoshua Bengio

Who trusts Joshua Goodman overall

  1. Tomas Mikolov
  2. Yoshua Bengio
  3. Zhijian Ou
  4. Yee Whye Teh
  5. Edouard Grave
  6. Armand Joulin
  7. Holger Schwenk
  8. Geoffry Zweig
  9. Stanley F. Chen
  10. Michael Auli

Papers from Joshua Goodman's perspective

Ordered by how strongly the researchers Joshua Goodman 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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