Yoshitomo Matsubara
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 398 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it
- Computer Vision and Pattern Recognition — 75 citations into it
- Natural Language Processing — 33 citations into it
- Efficiency & Compression — 27 citations into it
- Model Architectures — 19 citations into it
- Large Language Models — 11 citations into it
- Electrical and Electronic Engineering — 10 citations into it
- Signal Processing — 10 citations into it
Whom Yoshitomo Matsubara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Jimmy Ba
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
Who trusts Yoshitomo Matsubara overall
Papers from Yoshitomo Matsubara's perspective
Ordered by how strongly the researchers Yoshitomo Matsubara 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges (2021) — 334 citations
- Reranking for Efficient Transformer-based Answer Selection (2020) — 48 citations