Chris Sweeney

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chris Sweeney trusts overall

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

  1. Tomas Mikolov
  2. Minqing Hu
  3. Charu C. Aggarwal
  4. Jeffrey Pennington
  5. Svetlana Kiritchenko
  6. Saif M. Mohammad
  7. Ilya Sutskever
  8. Richard Socher
  9. Lei Zhang
  10. Theresa Wilson

Who trusts Chris Sweeney overall

  1. Sunipa Dev
  2. Alexandra Sasha Luccioni
  3. Gauri Gupta
  4. Deven Santosh Shah

Papers from Chris Sweeney's perspective

Ordered by how strongly the researchers Chris Sweeney 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers