José Pablo Cambronero

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 17 citations into it

Whom José Pablo Cambronero trusts overall

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

1. Yoshua Bengio
2. Tomas Mikolov
3. Sepp Hochreiter
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. J. Urgen Schmidhuber
7. Kyunghyun Cho
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Yann LeCun

Who trusts José Pablo Cambronero overall

1. Baptiste Rozière
2. Aditya Kanade
3. Noam Yefet
4. Hamel Husain
5. Uri Alon
6. Petros Maniatis
7. Marie-Anne Lachaux

Papers from José Pablo Cambronero's perspective

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

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

Their papers

• When deep learning met code search (2019) — 239 citations
• Repairing Bugs in Python Assignments Using Large Language Models (2022) — 67 citations