Esther Luna Colombini
Artificial Intelligence · with Correia · 2021
A researcher in the Science corpus: 1 paper; trusts 574 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 254 citations into it
- Computer Vision and Pattern Recognition — 246 citations into it
- Natural Language Processing — 102 citations into it
- Model Architectures — 64 citations into it
- Signal Processing — 22 citations into it
- Generative Models — 17 citations into it
- Human-Computer Interaction — 10 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
Whom Esther Luna Colombini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Oriol Vinyals
- Ruslan Salakhutdinov
Who trusts Esther Luna Colombini overall
Papers from Esther Luna Colombini's perspective
Ordered by how strongly the researchers Esther Luna Colombini 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Attention, please! A survey of neural attention models in deep learning (2021) — 291 citations