David Winarsky

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it

Whom David Winarsky trusts overall

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

1. Yoshua Bengio

Papers from David Winarsky's perspective

Ordered by how strongly the researchers David Winarsky 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. WaveNet: A Generative Model for Raw Audio
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System (2017) — 67 citations
• Neural Text-to-Speech Adaptation from Low Quality Public Recordings (2019) — 27 citations