David S. Batista
Natural Language Processing · 2015
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 9 citations into it; #3,072 of 5,688 by trust here, #4,879 by citations
- Artificial Intelligence — 6 citations into it; #17,531 of 35,345 by trust here, #27,551 by citations
Whom David S. Batista trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Gerard A. Salton
- Greg Durrett
- Eugene Agichtein
- Jenny Rose Finkel
- Kai Chen
- Daniel Klein
- Ilya Sutskever
- Chris Buckley
- Luis Gravano
Who trusts David S. Batista overall
- Diego Marcheggiani
- Timo Schick
- Marco Antonio Valenzuela-Escarcega
- Wenxuan Zhou
- Eran Bringer
- Tianyu Gao
- Ivan Titov
- Helmut Schmid
- Ajay Nagesh
- Ziqi Wang
Papers from David S. Batista's perspective
Ordered by how strongly the researchers David S. Batista trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Efficient Estimation of Word Representations in Vector Space
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics (2015) — 60 citations