Enrique Alfonseca

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #9,409 of 35,345 by trust here, #6,064 by citations
• Natural Language Processing — 38 citations into it; #2,237 of 5,688 by trust here, #2,473 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #14,790 of 21,575 by trust here, #9,435 by citations
• Generative Models — 10 citations into it
• Information Retrieval & Search — 8 citations into it; #419 of 1,022 by trust here, #748 by citations
• Information Systems — 5 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Enrique Alfonseca trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Oriol Vinyals
4. Geoffrey E. Hinton
5. Hoifung Poon
6. Yoshua Bengio
7. Sepp Hochreiter
8. Alex Krizhevsky
9. Aria Haghighi
10. Tomas Mikolov

Who trusts Enrique Alfonseca overall

1. Alexander J. Ratner
2. Paroma Varma
3. Christopher R'e
4. Stephen H. Bach
5. Braden Hancock
6. Benjamin Roth
7. Wen-tau Yih
8. Bryan D. He
9. Herman Kamper
10. Felix Hill

Papers from Enrique Alfonseca's perspective

Ordered by how strongly the researchers Enrique Alfonseca 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches (2009) — 985 citations
• Sentence Compression by Deletion with LSTMs (2015) — 266 citations
• Eval all, trust a few, do wrong to none: Comparing sentence generation models (2018) — 41 citations
• Pattern Learning for Relation Extraction with a Hierarchical Topic Model (2012) — 84 citations