Yi-Ting Guo

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Generative Models — 16 citations into it

Whom Yi-Ting Guo trusts overall

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

1. Diederik P. Kingma

Papers from Yi-Ting Guo's perspective

Ordered by how strongly the researchers Yi-Ting Guo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. WaveNet: A Generative Model for Raw Audio
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model (2023) — 60 citations
• MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training (2023) — 320 citations