Ed Lin

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Signal Processing — 30 citations into it
• Speech & Audio — 29 citations into it
• Generative Models — 15 citations into it
• Model Architectures — 7 citations into it

Whom Ed Lin trusts overall

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

1. Alex Graves

Papers from Ed Lin's perspective

Ordered by how strongly the researchers Ed Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. WaveNet: A Generative Model for Raw Audio
4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Language Models are Unsupervised Multitask Learners
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• FoundationTTS: Text-to-Speech for ASR Customization with Generative Language Model (2023) — 9 citations