Esther Klabbers
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Signal Processing — 8 citations into it
- Speech & Audio — 6 citations into it
Whom Esther Klabbers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Esther Klabbers's perspective
Ordered by how strongly the researchers Esther Klabbers trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Waveglow: A Flow-based Generative Network for Speech Synthesis
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Voice 2: Multi-Speaker Neural Text-to-Speech