Xavier Carreras
Artificial Intelligence · 2001–2008
A researcher in the Science corpus: 8 papers; trusts 66 researchers and is trusted by 181 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it; #2,555 of 35,345 by trust here, #6,956 by citations
- Natural Language Processing — 46 citations into it; #438 of 5,688 by trust here, #1,235 by citations
- Information Extraction — 12 citations into it; #6 of 407 by trust here, #16 by citations
- Optimization & Training — 12 citations into it; #1,951 of 2,601 by trust here, #1,638 by citations
- Evaluation & Benchmarks — 5 citations into it; #270 of 3,147 by trust here, #1,118 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Xavier Carreras trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Gildea
- Martha Palmer
- Sameer Pradhan
- Dan Jurafsky
- Mihai Surdeanu
- Ryan T. McDonald
- Michael Collins
- Andrew McCallum
- Koby Crammer
- Fernando C Pereira
Who trusts Xavier Carreras overall
- Dan Roth
- Richard Johansson
- Dipanjan Das
- Trevor Cohn
- Vasin Punyakanok
- Oscar Täckström
- Alessandro Moschitti
- Bonaventura Coppola
- Xiao Liu
- Aliaksei Severyn
Papers from Xavier Carreras's perspective
Ordered by how strongly the researchers Xavier Carreras trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling (2005) — 778 citations
- Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks (2008) — 184 citations
- Special Issue Introduction: Semantic Role Labeling: An Introduction to the Special Issue (2008) — 299 citations
- Simple Semi-supervised Dependency Parsing (2008) — 502 citations
- Structured Prediction Models via the Matrix-Tree Theorem (2007) — 170 citations
- FreeLing: An Open-Source Suite of Language Analyzers (2004) — 344 citations
- Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling (2004) — 369 citations
- Boosting Trees for Anti-Spam Email Filtering (2001) — 430 citations