Hiroshi Nakagawa

Artificial Intelligence · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Reinforcement Learning — 8 citations into it; #1,495 of 2,242 by trust here, #1,932 by citations
• Management Science and Operations Research — 7 citations into it; #6,598 of 11,946 by trust here, #7,262 by citations

Whom Hiroshi Nakagawa trusts overall

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

1. T. L. Lai Andherbertrobbins
2. Ellen Riloff
3. Masrour Zoghi
4. Patrick Pantel
5. Rajeev Agrawal

Who trusts Hiroshi Nakagawa overall

1. Paroma Varma
2. Alexander J. Ratner
3. Christopher R'e
4. Stephen H. Bach
5. Aadirupa Saha

Papers from Hiroshi Nakagawa's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Open Information Extraction from the Web
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Finite-time Analysis of the Multiarmed Bandit Problem
8. Asymptotically Efficient Adaptive Allocation Rules
9. Gradient-based learning applied to document recognition
10. Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping

Their papers

• Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem (2015) — 112 citations
• Reducing Wrong Labels in Distant Supervision for Relation Extraction (2012) — 217 citations