Laura Ruis
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #23,868 of 35,345 by trust here, #20,377 by citations
- Natural Language Processing — 30 citations into it; #4,436 of 5,688 by trust here, #5,412 by citations
- Computer Vision and Pattern Recognition — 19 citations into it; #14,769 of 21,575 by trust here, #13,542 by citations
- Model Architectures — 12 citations into it; #1,764 of 2,278 by trust here, #2,192 by citations
Whom Laura Ruis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brenden M. Lake
- Jacob Andreas
- Diederik P. Kingma
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Alex Graves
- Oriol Vinyals
- J. Urgen Schmidhuber
Who trusts Laura Ruis overall
- Brenden M. Lake
- William Chan
- Chitwan Saharia
- Maxwell Nye
- Belinda Z. Li
- Ferran Alet
- Gregory L. Murphy
- Mohammad Norouzi
- Michael Henry Tessler
Papers from Laura Ruis's perspective
Ordered by how strongly the researchers Laura Ruis trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A Benchmark for Systematic Generalization in Grounded Language Understanding (2020) — 166 citations
- Insertion-Deletion Transformer (2020) — 14 citations