Andrew Colin Rice
Information Systems · 2010–2019
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 37 citations into it; #4,516 of 8,771 by trust here, #2,101 by citations
- Artificial Intelligence — 35 citations into it
- Natural Language Processing — 22 citations into it
- Software — 21 citations into it; #695 of 1,227 by trust here, #456 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Computer Networks and Communications — 13 citations into it; #5,406 of 9,886 by trust here, #2,300 by citations
Whom Andrew Colin Rice trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Ilya Sutskever
- Oriol Vinyals
- Sepp Hochreiter
- Geoffrey E. Hinton
- Yoshua Bengio
- Dzmitry Bahdanau
- Tomas Mikolov
- J. Urgen Schmidhuber
- Kyunghyun Cho
Who trusts Andrew Colin Rice overall
Papers from Andrew Colin Rice's perspective
Ordered by how strongly the researchers Andrew Colin Rice trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- DeepDelta: learning to repair compilation errors (2019) — 116 citations
- Learning to Fix Build Errors with Graph2Diff Neural Networks (2019) — 70 citations
- MockDroid: trading privacy for application functionality on smartphones (2011) — 478 citations
- Predicting the Performance of Virtual Machine Migration (2010) — 324 citations