Yasumasa Onoe
Artificial Intelligence · 2016–2025
A researcher in the Science corpus: 6 papers; trusts 170 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it; #10,252 of 35,345 by trust here, #15,004 by citations
- Natural Language Processing — 74 citations into it; #2,968 of 5,688 by trust here, #4,879 by citations
- Computer Vision and Pattern Recognition — 54 citations into it
- Evaluation & Benchmarks — 29 citations into it
- Large Language Models — 19 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Model Architectures — 8 citations into it; #1,060 of 2,278 by trust here, #1,826 by citations
- Information Extraction — 5 citations into it
Whom Yasumasa Onoe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Tomas Mikolov
- Alex Krizhevsky
- Yann LeCun
- Alex Graves
- Kaiming He
- Oriol Vinyals
Who trusts Yasumasa Onoe overall
- Ofir Press
- Clara Vania
- Ledell Yu Wu
- Nicola De Cao
- Di Lu
- Zhuosheng Zhang
- Fabio Petroni
- Zhilin Yang
- Shaojie Bai
- Fan Yang
Papers from Yasumasa Onoe's perspective
Ordered by how strongly the researchers Yasumasa Onoe trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
Their papers
- Gated Word-Character Recurrent Language Model (2016) — 106 citations
- Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting (2022) — 295 citations
- Entity Cloze By Date: What LMs Know About Unseen Entities (2022) — 71 citations
- Fine-Grained Entity Typing for Domain Independent Entity Linking (2019) — 94 citations
- CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge (2021) — 107 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations