Ichiro Kobayashi
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #32,145 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 49 citations into it; #5,167 of 5,688 by trust here, #4,793 by citations
Whom Ichiro Kobayashi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Tomas Mikolov
- Geoffrey E. Hinton
- Richard S. Sutton
- Alex Krizhevsky
- Reinhard Kneser
- Levente Kocsis
- Yann LeCun
Who trusts Ichiro Kobayashi overall
Papers from Ichiro Kobayashi's perspective
Ordered by how strongly the researchers Ichiro Kobayashi trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Human-like Natural Language Generation Using Monte Carlo Tree Search (2016) — 19 citations
- Learning to Select, Track, and Generate for Data-to-Text (2019) — 50 citations
- Adversarial Training for Commonsense Inference (2020) — 32 citations