Ha-Yeong Choi

Generative Models · 2023

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

Subfields

• Generative Models — 13 citations into it

Whom Ha-Yeong Choi trusts overall

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

1. Jaehyeon Kim
2. Joon Son Chung
3. Christophe Veaux
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alexei Baevski
7. Diederik P. Kingma
8. Andrew Zisserman
9. Heiga Zen

Papers from Ha-Yeong Choi's perspective

Ordered by how strongly the researchers Ha-Yeong Choi trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• HierSpeech++: Bridging the Gap Between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-Shot Speech Synthesis (2023) — 78 citations