Phillip Rust

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Phillip Rust trusts overall

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

  1. Jonas Pfeiffer
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Andreas Ruckl'e
  6. Ilya Sutskever
  7. Ivan Vulic
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Christopher D. Manning

Who trusts Phillip Rust overall

  1. Lucia Zheng
  2. Oleh Shliazhko
  3. Jonas Pfeiffer
  4. Sebastian Ruder

Papers from Phillip Rust's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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