Norman M. Sadeh

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 20 papers; trusts 42 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Norman M. Sadeh trusts overall

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

  1. Adrienne Porter Felt
  2. John Krumm
  3. Patrick Gage Kelley
  4. Erika Chin
  5. William Enck
  6. G'abor J. Sz'ekely
  7. Andrew Y. Ng
  8. David William Aha
  9. Alessandro Acquisti
  10. Lorrie Faith Cranor

Who trusts Norman M. Sadeh overall

  1. James Thorne
  2. Ponnurangam Kumaraguru
  3. Jialiu Lin
  4. Jason I. Hong
  5. Teh-Chung Chen
  6. Srishti Gupta
  7. Ram B. Basnet
  8. D. Kevin McGrath
  9. Eric Wallace
  10. Xiang Zhou

Papers from Norman M. Sadeh's perspective

Ordered by how strongly the researchers Norman M. Sadeh 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers