Pedro A. Szekely
Artificial Intelligence · 2003–2021
A researcher in the Science corpus: 4 papers; trusts 92 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it; #30,787 of 35,345 by trust here, #18,586 by citations
- Natural Language Processing — 53 citations into it; #5,049 of 5,688 by trust here, #4,879 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Evaluation & Benchmarks — 18 citations into it
- Graph Learning — 14 citations into it
- Large Language Models — 14 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Information Systems — 9 citations into it
Whom Pedro A. Szekely trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Jacob Devlin
- Kyunghyun Cho
- Yann LeCun
- Kaiming He
Who trusts Pedro A. Szekely overall
Papers from Pedro A. Szekely's perspective
Ordered by how strongly the researchers Pedro A. Szekely trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Representing Numbers in NLP: a Survey and a Vision (2021) — 147 citations
- Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering (2020) — 94 citations
- Recurrent Event Network for Reasoning over Temporal Knowledge Graphs (2019) — 63 citations
- MAAN: A Multi-Attribute Addressable Network for Grid Information Services (2003) — 487 citations