Raziel Alvarez

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 7 papers; trusts 30 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it; #13,588 of 35,345 by trust here, #4,722 by citations
• Signal Processing — 60 citations into it; #2,628 of 7,572 by trust here, #741 by citations
• Speech & Audio — 49 citations into it; #731 of 1,076 by trust here, #400 by citations
• Model Architectures — 22 citations into it
• Efficiency & Compression — 17 citations into it; #938 of 1,264 by trust here, #483 by citations
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Raziel Alvarez trusts overall

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

1. Geoffrey E. Hinton
2. Tara N. Sainath
3. Alex Graves
4. Andrew W. Senior
5. Brian Kingsbury
6. Yann LeCun
7. Navdeep Jaitly
8. Yoshua Bengio
9. X. Lei
10. Guoguo Chen

Who trusts Raziel Alvarez overall

1. Rohit Prabhavalkar
2. Ian McGraw
3. Bharat Bhusan Sau
4. Tara N. Sainath
5. Li Wan
6. Quan Wang
7. Khe Chai Sim
8. Yanzhang He
9. Yundong Zhang
10. Xavier Suau

Papers from Raziel Alvarez's perspective

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

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

Their papers

• Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
• Streaming End-to-end Speech Recognition for Mobile Devices (2018) — 676 citations
• Locally-connected and convolutional neural networks for small footprint speaker recognition (2015) — 102 citations
• A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency (2020) — 228 citations
• Personalized speech recognition on mobile devices (2016) — 201 citations
• Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks (2015) — 93 citations
• Compressing deep neural networks using a rank-constrained topology (2015) — 81 citations