Korin Richmond

Artificial Intelligence · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #19,323 of 35,345 by trust here, #23,077 by citations
• Signal Processing — 15 citations into it; #3,995 of 7,572 by trust here, #4,750 by citations
• Speech & Audio — 9 citations into it
• Natural Language Processing — 6 citations into it
• Developmental and Educational Psychology — 5 citations into it
• Experimental and Cognitive Psychology — 5 citations into it; #4,062 of 9,731 by trust here, #5,729 by citations

Whom Korin Richmond trusts overall

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

1. Geoffrey E. Hinton
2. Keiichi Tokuda
3. Abdel-rahman Mohamed
4. Yoshua Bengio
5. George E. Dahl
6. Alex Krizhevsky
7. Hideki Kawahara
8. Yann LeCun
9. Radford M. Neal
10. Navdeep Jaitly

Who trusts Korin Richmond overall

1. Li Deng
2. Gustav Eje Henter
3. Zhenhua Ling
4. Zhizheng Wu
5. Keiichi Tokuda
6. Oliver Watts

Papers from Korin Richmond's perspective

Ordered by how strongly the researchers Korin Richmond 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. A Fast Learning Algorithm for Deep Belief Nets
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Articulatory Control of HMM-Based Parametric Speech Synthesis Using Feature-Space-Switched Multiple Regression (2013) — 64 citations
• Fusion of multiple parameterisations for DNN-based sinusoidal speech synthesis with multi-task learning (2015) — 34 citations
• A Deep Neural Network for Acoustic-Articulatory Speech Inversion (2011) — 49 citations
• Phonology impacts segmentation in online speech processing (2005) — 133 citations