Lina Maria Rojas-Barahona

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 10 papers; trusts 58 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 166 citations into it; #5,265 of 35,345 by trust here, #2,401 by citations
• Natural Language Processing — 134 citations into it; #1,548 of 5,688 by trust here, #777 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #21,262 of 21,575 by trust here, #11,721 by citations
• Model Architectures — 27 citations into it
• Evaluation & Benchmarks — 25 citations into it
• Reinforcement Learning — 24 citations into it

Whom Lina Maria Rojas-Barahona trusts overall

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

1. Ilya Sutskever
2. Tsung-Hsien Wen
3. Geoffrey E. Hinton
4. Oriol Vinyals
5. Matthew Henderson
6. Yoshua Bengio
7. Milica Gasic
8. Sepp Hochreiter
9. Alex Graves
10. Susannah Young

Who trusts Lina Maria Rojas-Barahona overall

1. Bing Liu
2. Chien-Sheng Wu
3. Van-Khanh Tran
4. Abhinav Rastogi
5. Andrea Madotto
6. Mihir Kale
7. Sungjin Lee
8. Tsung-Hsien Wen
9. Pararth Shah
10. Nikola Mrksic

Papers from Lina Maria Rojas-Barahona's perspective

Ordered by how strongly the researchers Lina Maria Rojas-Barahona trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A Network-based End-to-End Trainable Task-oriented Dialogue System (2016) — 1,155 citations
• Continuously Learning Neural Dialogue Management (2016) — 123 citations
• Multi-domain Neural Network Language Generation for Spoken Dialogue Systems (2016) — 191 citations
• Counter-fitting Word Vectors to Linguistic Constraints (2016) — 520 citations
• On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems (2016) — 174 citations
• Conditional Generation and Snapshot Learning in Neural Dialogue Systems (2016) — 81 citations
• Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers (2020) — 15 citations
• Feudal Reinforcement Learning for Dialogue Management in Large Domains (2018) — 50 citations
• Toward Multi-domain Language Generation using Recurrent Neural Networks (2015)
• Using MMIL for the High Level Semantic Annotation of the French MEDIA Dialogue Corpus (2011) — 7 citations