Dana Movshovitz-Attias

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Dana Movshovitz-Attias trusts overall

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

  1. David M. Blei
  2. Elena A. Erosheva
  3. Jonathan D. Chang
  4. Andrew Y. Ng
  5. Richard Socher
  6. Marti A. Hearst
  7. Fabian M. Suchanek
  8. Danqi Chen
  9. William W. Cohen
  10. Premkumar T. Devanbu

Who trusts Dana Movshovitz-Attias overall

  1. Miltiadis Allamanis
  2. Annie Louis
  3. Martin White
  4. Wenhua Wang
  5. Ziyu Yao
  6. Juliana Saraiva
  7. Karan Aggarwal
  8. Song Wang
  9. Zhilin Yang
  10. Xinpeng Chen

Papers from Dana Movshovitz-Attias's perspective

Ordered by how strongly the researchers Dana Movshovitz-Attias 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers