Leif M. Johnson

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #21,328 of 35,345 by trust here, #13,962 by citations
• Signal Processing — 10 citations into it; #4,398 of 7,572 by trust here, #2,114 by citations
• Model Architectures — 6 citations into it
• Natural Language Processing — 6 citations into it; #3,915 of 5,688 by trust here, #2,955 by citations
• Speech & Audio — 5 citations into it

Whom Leif M. Johnson trusts overall

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

1. Alex Graves

Who trusts Leif M. Johnson overall

1. Jinyu Li
2. Rohit Prabhavalkar
3. Kanishka Rao
4. Tara N. Sainath
5. Bo Li

Papers from Leif M. Johnson's perspective

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

1. Long Short-Term Memory
2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
3. Large Scale Distributed Deep Networks
4. Bidirectional recurrent neural networks
5. Towards End-To-End Speech Recognition with Recurrent Neural Networks
6. Sequence Transduction with Recurrent Neural Networks
7. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
8. Attention-Based Models for Speech Recognition
9. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
10. Fast and accurate recurrent neural network acoustic models for speech recognition

Their papers

• A Comparison of Sequence-to-Sequence Models for Speech Recognition (2017) — 307 citations