Hayato Tsukagoshi
Artificial Intelligence · 2024–2026
A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Natural Language Processing — 33 citations into it
- Representation & Self-Supervised Learning — 27 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Information Retrieval & Search — 11 citations into it
- Large Language Models — 5 citations into it
Whom Hayato Tsukagoshi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Samuel R. Bowman
- Xinyu Crystina Zhang
- Nils Reimers
- Jacob Devlin
- Adina Williams
- Tianyu Gao
- Geoffrey E. Hinton
- Zach Nussbaum
- Shitao Xiao
- Yoshua Bengio
Papers from Hayato Tsukagoshi's perspective
Ordered by how strongly the researchers Hayato Tsukagoshi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)