Hideto Kazawa

Artificial Intelligence · 2002–2025

A researcher in the Science corpus: 7 papers; trusts 62 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it; #6,610 of 35,345 by trust here, #811 by citations
• Natural Language Processing — 88 citations into it; #2,657 of 5,688 by trust here, #211 by citations
• Computer Vision and Pattern Recognition — 43 citations into it; #21,198 of 21,575 by trust here, #685 by citations
• Model Architectures — 19 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Evaluation & Benchmarks — 15 citations into it; #2,957 of 3,147 by trust here, #2,704 by citations
• Optimization & Training — 10 citations into it

Whom Hideto Kazawa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Koby Crammer
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Thorsten Joachims
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Ilya Sutskever
8. Jimmy Ba
9. Yoram Singer
10. Richard Socher

Who trusts Hideto Kazawa overall

1. Min-Ling Zhang
2. Marina Sokolova
3. Suyu Ge
4. Zhi-Hua Zhou
5. Daniel Ramage
6. Yoav Goldberg
7. Valerio Basile
8. Jing Li
9. Qi Zhang
10. Guy Lapalme

Papers from Hideto Kazawa's perspective

Ordered by how strongly the researchers Hideto Kazawa trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016) — 7,325 citations
• Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation (2018) — 65 citations
• Overview of the 5th Workshop on Asian Translation (2019) — 46 citations
• Efficient Support Vector Classifiers for Named Entity Recognition (2002) — 387 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Overview of the 4th Workshop on Asian Translation (2017) — 47 citations
• Maximal Margin Labeling for Multi-Topic Text Categorization (2004) — 134 citations