Adam Poliak

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 9 papers; trusts 280 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Poliak trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Samuel R. Bowman
  6. Richard Socher
  7. Christopher D. Manning
  8. Alex Krizhevsky
  9. Alexis Conneau
  10. Rachel Rudinger

Who trusts Adam Poliak overall

  1. Yonatan Belinkov
  2. Ellie Pavlick
  3. Kyle Richardson
  4. Joe Stacey
  5. Rachel Rudinger
  6. James Thorne
  7. Yejin Choi
  8. Eric Wallace
  9. Aaron Steven White
  10. Ronan Le Bras

Papers from Adam Poliak's perspective

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

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

Their papers