Melanie Subbiah

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Melanie Subbiah trusts overall

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

  1. Adina Williams
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Sepp Hochreiter
  6. Samuel R. Bowman
  7. Ilya Sutskever
  8. Alex Krizhevsky

Who trusts Melanie Subbiah overall

  1. Yi Tay
  2. Sewon Min
  3. Renrui Zhang
  4. Michael Lewis
  5. Swaroop Mishra
  6. Luke S. Zettlemoyer
  7. Timo Schick
  8. Tal Schuster
  9. Mohit Bansal
  10. Dan Hendrycks

Papers from Melanie Subbiah's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers