Isabel Groves
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #18,549 of 35,345 by trust here, #26,682 by citations
- Natural Language Processing — 29 citations into it; #3,202 of 5,688 by trust here, #4,793 by citations
- Evaluation & Benchmarks — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #11,688 of 21,575 by trust here, #17,258 by citations
- Natural Language Generation — 6 citations into it
Whom Isabel Groves trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Jekaterina Novikova
- Claire Gardent
- Geoffrey E. Hinton
- Ehud Reiter
- Ondrej Dusek
- Jimmy Ba
- Anastasia Shimorina
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Isabel Groves overall
- Jordan Clive
- Ondrej Dusek
- Kris Cao
- Leonardo F. R. Ribeiro
- Peyman Heidari
- Soumya Batra
- Junyi Li
- Chang Shu
Papers from Isabel Groves's perspective
Ordered by how strongly the researchers Isabel Groves trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database