Luis Espinosa-Anke

Artificial Intelligence · 1 papers · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #19,229 of 35,345 by trust here, #17,776 by citations
• Natural Language Processing — 15 citations into it; #3,301 of 5,688 by trust here, #3,574 by citations
• Evaluation & Benchmarks — 7 citations into it; #1,754 of 3,147 by trust here, #2,166 by citations

Whom Luis Espinosa-Anke trusts overall

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

1. Saif M. Mohammad

Who trusts Luis Espinosa-Anke overall

1. Ruiqi Zhong

Papers from Luis Espinosa-Anke's perspective

Ordered by how strongly the researchers Luis Espinosa-Anke trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Language Models are Unsupervised Multitask Learners
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification (2020) — 1,004 citations