Amit Gruber

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Gruber trusts overall

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

  1. David M. Blei
  2. Lawrence R. Rabiner
  3. Hanna M. Wallach
  4. T. Griffiths
  5. Mark Steyvers
  6. Michael I. Jordan
  7. Andrew Y. Ng
  8. Pedro J. Moreno Mengibar
  9. Radford M. Neal
  10. Wray L. Buntine

Who trusts Amit Gruber overall

  1. Ivan Titov
  2. Ryan T. McDonald
  3. Jiwei Li
  4. Jackie Chi Kit Cheung
  5. Karthik Dinakar
  6. Jordan L. Boyd-Graber
  7. Mohit Iyyer
  8. Dan Jurafsky
  9. Roi Reichart
  10. Jun Zhu

Papers from Amit Gruber's perspective

Ordered by how strongly the researchers Amit Gruber trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. A tutorial on hidden Markov models and selected applications in speech recognition

Their papers