Daisuke Okanohara

Artificial Intelligence · 2005–2016

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #17,092 of 35,345 by trust here, #23,731 by citations
• Natural Language Processing — 19 citations into it; #2,193 of 5,688 by trust here, #4,682 by citations
• Statistics and Probability — 13 citations into it
• Optimization & Training — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Daisuke Okanohara trusts overall

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

1. Bo Pang
2. Vladimir Naumovich Vapni
3. Peter D. Turney
4. Fabrizio Sebastiani
5. Lillian Lee
6. Alex Smola
7. Nello Cristianini
8. Trevor J. Hastie
9. Stanley F. Chen
10. Eugene Charniak

Who trusts Daisuke Okanohara overall

1. Ronan Collobert
2. Jason Aaron Edward Weston
3. Eric Sadit Tellez
4. Phúc H. Lê Khắc
5. Shane Bergsma
6. Joachim Wagner
7. Simon Gog
8. Jennifer Foster
9. Gonzalo Navarro
10. Edgar Chávez

Papers from Daisuke Okanohara's perspective

Ordered by how strongly the researchers Daisuke Okanohara 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Improved Inference (2008) — 67 citations
• Practical Entropy-Compressed Rank/Select Dictionary (2006) — 329 citations
• A Deep-Learning Approach for Operation of an Automated Realtime Flare Forecast (2016) — 13 citations
• Conditional Density Estimation via Least-Squares Density Ratio Estimation (2010) — 72 citations
• A discriminative language model with pseudo-negative samples (2007) — 57 citations
• Assigning Polarity Scores to Reviews Using Machine Learning Techniques (2005) — 33 citations