Takahiro Shinozaki

Artificial Intelligence · 2005–2022

A researcher in the Science corpus: 5 papers; trusts 69 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it; #28,468 of 35,345 by trust here, #11,921 by citations
• Computer Vision and Pattern Recognition — 48 citations into it; #21,180 of 21,575 by trust here, #11,950 by citations
• Representation & Self-Supervised Learning — 40 citations into it; #3,083 of 3,145 by trust here, #2,624 by citations
• Natural Language Processing — 17 citations into it
• Optimization & Training — 17 citations into it

Whom Takahiro Shinozaki trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Alex Graves
5. Kaiming He
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yann LeCun
9. Ruslan Salakhutdinov
10. Radford M. Neal

Who trusts Takahiro Shinozaki overall

1. Li Deng
2. Felix Weninger

Papers from Takahiro Shinozaki's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Pushing the envelope - aside [speech recognition] (2005) — 103 citations
• FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning (2022) — 477 citations
• FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling (2021) — 1,316 citations
• Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning (2020) — 81 citations
• Reverberant speech recognition based on denoising autoencoder (2013) — 105 citations