Emily Reif

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 10 papers; trusts 45 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Emily Reif trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Ashish Vaswani
  8. Kaiming He
  9. Ruslan Salakhutdinov
  10. Tomas Mikolov

Who trusts Emily Reif overall

  1. Swaroop Mishra
  2. Mirac Suzgun
  3. Tuhin Chakrabarty
  4. Ravsehaj Singh Puri
  5. Chulhee Yun
  6. Mingkai Deng
  7. Elnaz Nouri
  8. Piotr Wojciech Mirowski
  9. Michael A. Lepori
  10. Vishakh Padmakumar

Papers from Emily Reif's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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