Masatoshi Tsuchiya
Natural Language Processing · 2018
A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 100 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 19 citations into it; #598 of 5,688 by trust here, #2,567 by citations
- Artificial Intelligence — 18 citations into it; #2,149 of 35,345 by trust here, #11,921 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Masatoshi Tsuchiya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- Lili Mou
- Jeffrey Pennington
- Bill MacCartney
- Richard Socher
- Sida I. Wang
- Shuohang Wang
- K. Erk
- Johan Bos
- Geoffrey E. Hinton
Who trusts Masatoshi Tsuchiya overall
- Joe Stacey
- Yixin Nie
- Ronan Le Bras
- Yonatan Belinkov
- Samuel R. Bowman
- Adam Poliak
- Tal Schuster
- Nicholas Lourie
- William Huang
- Aaron Steven White
Papers from Masatoshi Tsuchiya's perspective
Ordered by how strongly the researchers Masatoshi Tsuchiya trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment (2018) — 168 citations