Moin Nadeem

Natural Language Processing · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Moin Nadeem trusts overall

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

  1. Tomas Mikolov
  2. Ilya Sutskever
  3. Svetlana Kiritchenko
  4. Jacob Devlin
  5. Geoffrey E. Hinton
  6. Denny Vrandečić
  7. Alec Radford
  8. Yoshua Bengio
  9. Aylin Caliskan
  10. Diederik P. Kingma

Who trusts Moin Nadeem overall

  1. Eric Michael Smith
  2. Svetlana Kiritchenko
  3. Esin Durmus
  4. Su Lin Blodgett
  5. Emily Sheng
  6. Yang Trista Cao
  7. Timo Schick
  8. Adina Williams
  9. Percy Liang
  10. Myra Cheng

Papers from Moin Nadeem's perspective

Ordered by how strongly the researchers Moin Nadeem 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers