R. Mori
Artificial Intelligence · 1990–2021
A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 107 citations into it; #20,865 of 35,345 by trust here, #13,353 by citations
- Signal Processing — 69 citations into it; #4,289 of 7,572 by trust here, #1,958 by citations
- Speech & Audio — 68 citations into it
- Natural Language Processing — 31 citations into it; #1,571 of 5,688 by trust here, #2,930 by citations
- Model Architectures — 30 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Computational Mechanics — 10 citations into it
- Optimization & Training — 8 citations into it
Whom R. Mori trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Graves
- Diederik P. Kingma
- David E. Rumelhart
- Kaiming He
- Richard P. Lippmann
- John Scott Bridle
- Yann LeCun
- Kai-Fu Lee
Who trusts R. Mori overall
- Yoshua Bengio
- Li Deng
- Rukmini Iyer
- Xiaodong He
- Edouard Grave
- Yann LeCun
- Andreas Stolcke
- Armand Joulin
- Jianfeng Gao
- Kyunghyun Cho
Papers from R. Mori's perspective
Ordered by how strongly the researchers R. Mori trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Quaternion Recurrent Neural Networks (2018) — 153 citations
- Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition (2018) — 116 citations
- SpeechBrain: A General-Purpose Speech Toolkit (2021) — 999 citations
- Spoken Language Understanding: Systems for Extracting Semantic Information from Speech (2011) — 685 citations
- Automatic speech recognition and speech variability: A review (2007) — 590 citations
- An information-theoretic approach to automatic query expansion (2001) — 421 citations
- Global optimization of a neural network-hidden Markov model hybrid (1991)
- A Cache-Based Natural Language Model for Speech Recognition (1990)