Gautier Dagan
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Natural Language Processing — 66 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Model Architectures — 16 citations into it
Whom Gautier Dagan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Brenden M. Lake
- Kyunghyun Cho
- Jimmy Ba
- Alex Krizhevsky
- Yann LeCun
Who trusts Gautier Dagan overall
Papers from Gautier Dagan's perspective
Ordered by how strongly the researchers Gautier Dagan 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (2021) — 104 citations
- Location Attention for Extrapolation to Longer Sequences (2019) — 50 citations