Alexis Ross

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 217 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Alexis Ross trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Kaiming He
  8. Yann LeCun
  9. Marco Tulio Ribeiro
  10. Alex Graves

Who trusts Alexis Ross overall

  1. Sarah Wiegreffe
  2. Tongshuang Sherry Wu
  3. Ana Marasovic
  4. Bhargavi Paranjape
  5. Alisa Liu
  6. Ravsehaj Singh Puri
  7. Haiyan Zhao
  8. Max Bartolo
  9. Marco Tulio Ribeiro
  10. Ethan Perez

Papers from Alexis Ross's perspective

Ordered by how strongly the researchers Alexis Ross 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  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