Yuta Tsuboi

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #33,198 of 35,345 by trust here, #19,018 by citations
• Reinforcement Learning — 23 citations into it

Whom Yuta Tsuboi trusts overall

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

1. Masashi Sugiyama
2. Lotfi A. Zadeh
3. Robert A. Lordo
4. Richard S. Sutton
5. John D. Lafferty
6. Andrew Barto
7. Jiayuan Huang
8. Alex Smola
9. Ingo Steinwart
10. Andrew McCallum

Who trusts Yuta Tsuboi overall

1. Wouter M. Kouw
2. Masashi Sugiyama
3. Steffen Bickel
4. Wen Li
5. Marco Loog
6. Teruyuki Suzuki
7. Michael Brückner
8. Takafumi Kanamori

Papers from Yuta Tsuboi's perspective

Ordered by how strongly the researchers Yuta Tsuboi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Reinforcement Learning: An Introduction
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation (2009) — 173 citations
• DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback (2018) — 92 citations