Kuniaki Noda
Artificial Intelligence · 2014
A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Optimization & Training — 11 citations into it
- Signal Processing — 11 citations into it
- Natural Language Processing — 10 citations into it
Whom Kuniaki Noda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- James Martens
- Honglak Lee
- Pascal Vincent
- L. Eon Bottou
- Quoc V. Le
Who trusts Kuniaki Noda overall
- Joon Son Chung
- Themos Stafylakis
- Dickson N. T. How
- Daehyung Park
- Brais Martínez
- Rahma Chaabouni
- Triantafyllos Afouras
- Pin-Chu Yang
- German Ignacio Parisi
- Andrew W. Senior
Papers from Kuniaki Noda's perspective
Ordered by how strongly the researchers Kuniaki Noda 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Audio-visual speech recognition using deep learning (2014) — 551 citations
- Tactile object recognition using deep learning and dropout (2014) — 98 citations
- Multimodal integration learning of robot behavior using deep neural networks (2014) — 183 citations