Yasunari Obuchi

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #10,813 of 35,345 by trust here, #21,316 by citations
• Signal Processing — 8 citations into it; #1,960 of 7,572 by trust here, #3,913 by citations
• Speech & Audio — 5 citations into it

Whom Yasunari Obuchi trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Frank Torsten Bernd Seide
4. Abdel-rahman Mohamed
5. Paul P. G. Boersma
6. George E. Dahl
7. David E. Rumelhart
8. Navdeep Jaitly
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Yasunari Obuchi overall

1. Ekin Dogus Cubuk
2. Naoyuki Kanda
3. Anton Ragni
4. Mark John Francis Gales

Papers from Yasunari Obuchi's perspective

Ordered by how strongly the researchers Yasunari Obuchi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. A Fast Learning Algorithm for Deep Belief Nets
8. Learning Multiple Layers of Features from Tiny Images
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Elastic spectral distortion for low resource speech recognition with deep neural networks (2013) — 129 citations