Maria Pelevina
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #22,723 of 35,345 by trust here, #29,412 by citations
- Natural Language Processing — 12 citations into it; #3,817 of 5,688 by trust here, #5,092 by citations
- Representation & Self-Supervised Learning — 9 citations into it; #2,244 of 3,145 by trust here, #2,910 by citations
Whom Maria Pelevina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hinrich Schütze
- Marco Baroni
- Tomas Mikolov
- Dekang Lin
- Patrick Pantel
- Eneko Agirre
- Joseph Reisinger
- Chris Biemann
- Adriano Ferraresi
- Raymond J. Mooney
Who trusts Maria Pelevina overall
- Mohammad Taher Pilehvar
- José Camacho-Collados
- Chris Biemann
- Annette Rios Gonzales
- Gregor Wiedemann
- Kai Li
- Laura Mascarell
- Steffen Remus
- Feng Mai
- Simone Paolo Ponzetto
Papers from Maria Pelevina's perspective
Ordered by how strongly the researchers Maria Pelevina trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Efficient Estimation of Word Representations in Vector Space
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- GloVe: Global Vectors for Word Representation
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Making Sense of Word Embeddings (2016) — 142 citations