Grandee Lee
Artificial Intelligence · with Das · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Speech & Audio — 13 citations into it
- Signal Processing — 12 citations into it
- Natural Language Processing — 5 citations into it
Whom Grandee Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Grandee Lee's perspective
Ordered by how strongly the researchers Grandee Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- WaveNet: A Generative Model for Raw Audio
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Tacotron: Towards End-to-End Speech Synthesis
- Gradient-based learning applied to document recognition
Their papers
- End-to-End Code-Switching TTS with Cross-Lingual Language Model (2020) — 30 citations