Masso Utiyama
Artificial Intelligence · 2001–2023
A researcher in the Science corpus: 13 papers; trusts 276 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 183 citations into it; #9,540 of 35,345 by trust here, #8,077 by citations
- Natural Language Processing — 157 citations into it; #1,026 of 5,688 by trust here, #1,649 by citations
- Computer Vision and Pattern Recognition — 112 citations into it
- Multimodal Learning — 38 citations into it
- Model Architectures — 32 citations into it
- Evaluation & Benchmarks — 30 citations into it; #1,985 of 3,147 by trust here, #2,040 by citations
- Optimization & Training — 14 citations into it
- Molecular Biology — 5 citations into it
Whom Masso Utiyama trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Joseph Och
- Philipp Koehn
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Andreas Stolcke
- Dzmitry Bahdanau
- Kyunghyun Cho
- Kaiming He
Who trusts Masso Utiyama overall
- Jörg Tiedemann
- Holger Schwenk
- Nizar Habash
- Mirella Lapata
- Mikel Artetxe
- Nadir Durrani
- Preslav Nakov
- Trevor Cohn
- Chenhui Chu
- Raj Dabre
Papers from Masso Utiyama's perspective
Ordered by how strongly the researchers Masso Utiyama trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Guiding Neural Machine Translation with Retrieved Translation Pieces (2018) — 148 citations
- Introduction of the Asian Language Treebank (2016) — 90 citations
- Reliable Measures for Aligning Japanese-English News Articles and Sentences (2003) — 239 citations
- Neural Machine Translation with Supervised Attention (2016) — 162 citations
- Towards Burmese (Myanmar) Morphological Analysis (2019) — 9 citations
- ASPEC: Asian Scientific Paper Excerpt Corpus (2016) — 224 citations
- A Statistical Model for Domain-Independent Text Segmentation (2001) — 333 citations
- Universal Multimodal Representation for Language Understanding (2023) — 35 citations
- Data-dependent Gaussian Prior Objective for Language Generation (2020) — 69 citations
- Neural Machine Translation with Universal Visual Representation (2020) — 122 citations
- NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task (2019) — 16 citations
- Similar Southeast Asian Languages: Corpus-Based Case Study on Thai-Laotian and Malay-Indonesian (2016) — 10 citations
- A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation (2007) — 215 citations