Leticia Pinto-Alva

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it

Whom Leticia Pinto-Alva trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Diederik P. Kingma
7. Shaoqing Ren
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Papers from Leticia Pinto-Alva's perspective

Ordered by how strongly the researchers Leticia Pinto-Alva trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Gradient-based learning applied to document recognition
10. Microsoft COCO: Common Objects in Context

Their papers

• CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks (2022) — 94 citations