Yuuki Tachioka

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Signal Processing — 10 citations into it
• Model Architectures — 6 citations into it

Whom Yuuki Tachioka trusts overall

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

1. Mark John Francis Gales
2. Alex Graves
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. J. Urgen Schmidhuber
6. Abdel-rahman Mohamed
7. Felix Alexander Gers
8. Yoshua Bengio
9. Pascal Vincent

Who trusts Yuuki Tachioka overall

1. Donald S. Williamson

Papers from Yuuki Tachioka's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Speech recognition with deep recurrent neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. Extracting and composing robust features with denoising autoencoders
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition (2014) — 89 citations
• The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement (2014) — 44 citations