Eiichiro Sumita
Artificial Intelligence · 1991–2023
A researcher in the Science corpus: 16 papers; trusts 379 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 215 citations into it; #8,997 of 35,345 by trust here, #7,241 by citations
- Natural Language Processing — 200 citations into it; #1,621 of 5,688 by trust here, #1,992 by citations
- Computer Vision and Pattern Recognition — 126 citations into it; #11,249 of 21,575 by trust here, #11,498 by citations
- Evaluation & Benchmarks — 39 citations into it; #1,360 of 3,147 by trust here, #1,876 by citations
- Model Architectures — 39 citations into it
- Multimodal Learning — 38 citations into it
- Large Language Models — 16 citations into it
- Optimization & Training — 16 citations into it
Whom Eiichiro Sumita trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Franz Joseph Och
- Alex Krizhevsky
- Dzmitry Bahdanau
- Kaiming He
- Tomas Mikolov
Who trusts Eiichiro Sumita overall
- Panupong Pasupat
- Graham Neubig
- Tatsunori B. Hashimoto
- Kelvin Guu
- Yuan Zhang
- Yuta Nishimura
- Zi-Yi Dou
- Satoshi Nakamura
- Amane Sugiyama
- Niehues Jan
Papers from Eiichiro Sumita's perspective
Ordered by how strongly the researchers Eiichiro Sumita 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Guiding Neural Machine Translation with Retrieved Translation Pieces (2018) — 148 citations
- Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation (2018) — 77 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
- Recurrent Neural Networks for Word Alignment Model (2014) — 64 citations
- The ATR Multilingual Speech-to-Speech Translation System (2006) — 178 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
- Overview of the 1st Workshop on Asian Translation (2014) — 76 citations
- Using Machine Translation Evaluation Techniques to Determine Sentence-level Semantic Equivalence (2005) — 114 citations
- Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World (2002) — 299 citations
- Experiments and Prospects of Example-Based Machine Translation (1991)