Alexandra Torresquintero

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Model Architectures — 9 citations into it

Whom Alexandra Torresquintero trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Graves
3. Diederik P. Kingma
4. Kevin Crowston
5. Yoshua Bengio
6. Ilya Sutskever
7. Sepp Hochreiter
8. L. V. D. van der Maaten

Papers from Alexandra Torresquintero's perspective

Ordered by how strongly the researchers Alexandra Torresquintero trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Phonological Features for 0-shot Multilingual Speech Synthesis (2020) — 38 citations
• Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning (2020) — 11 citations