Rie Kubota Ando
Artificial Intelligence · 2005–2006
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 202 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #7,548 of 35,345 by trust here, #16,166 by citations
- Natural Language Processing — 8 citations into it; #1,602 of 5,688 by trust here, #3,332 by citations
- Information Extraction — 5 citations into it
- Optimization & Training — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it; #153 of 3,145 by trust here, #427 by citations
Whom Rie Kubota Ando trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tong Zhang
- Eric R. Ziegel
- David Yarowsky
- Bernhard Schölkopf
- David R. Pierce
- Radu Florian
- Martin Szummer
- Gene H. Golub
- Ellen Riloff
- Alex Smola
Who trusts Rie Kubota Ando overall
- Yu Zhang
- Sinno Jialin Pan
- John Blitzer
- Qiang Yang
- Yu Zhang
- Andreas Maurer
- Mingsheng Long
- Mohammad Rostami
- Rie Johnson
- Yoshua Bengio
Papers from Rie Kubota Ando's perspective
Ordered by how strongly the researchers Rie Kubota Ando trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A High-Performance Semi-Supervised Learning Method for Text Chunking (2005) — 250 citations
- Applying Alternating Structure Optimization to Word Sense Disambiguation (2006) — 44 citations
- A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005) — 1,708 citations