Anthony J. Robinson

Speech & Audio · with Waterhouse · 1994–2002

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

• Speech & Audio — 9 citations into it; #61 of 1,076 by trust here, #405 by citations
• Model Architectures — 8 citations into it; #1,263 of 2,278 by trust here, #2,128 by citations
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Anthony J. Robinson trusts overall

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

1. Robert A. Jacobs
2. Jeffrey L. Elman
3. Hynek Hermansky
4. Kai-Fu Lee
5. S. Renals
6. Geoffrey E. Hinton
7. Nelson Morgan
8. Paul J. Werbos
9. Ronald J. Williams
10. Hsiao-Wuen Hon

Who trusts Anthony J. Robinson overall

1. Li Deng
2. Alex Graves
3. James R. Glass
4. Carla Lopes
5. Hamid Palangi
6. Yoshua Bengio
7. Deb K. Roy
8. Geoffrey E. Hinton
9. Dong Yu
10. J. Urgen Schmidhuber

Papers from Anthony J. Robinson's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Connectionist speech recognition of Broadcast News (2002) — 67 citations
• Bayesian Methods for Mixtures of Experts (1995)
• Forward-backward retraining of recurrent neural networks (1995)
• Pruning and growing hierachical mixtures of experts (1995)
• An application of recurrent nets to phone probability estimation (1994)