Junya Honda

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 8 citations into it; #1,496 of 2,242 by trust here, #1,932 by citations
• Management Science and Operations Research — 7 citations into it; #6,599 of 11,946 by trust here, #7,262 by citations

Whom Junya Honda trusts overall

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

1. T. L. Lai Andherbertrobbins
2. Masrour Zoghi
3. Rajeev Agrawal
4. Shimon Whiteson
5. Yisong Yue
6. Peter Auer
7. Thorsten Joachims
8. Katja Hofmann
9. Nir Ailon
10. Maarten de Rijke

Who trusts Junya Honda overall

1. Aadirupa Saha
2. Akash Kumar Mohankumar
3. Huasen Wu
4. Aldo Pacchiano
5. Róbert Istvan Busa-Fekete
6. Chang Li
7. Luca Oneto
8. Simon Caton

Papers from Junya Honda's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem (2015) — 112 citations
• Nonconvex Optimization for Regression with Fairness Constraints (2018) — 111 citations