Yist Y. Lin
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it
- Signal Processing — 35 citations into it
- Speech & Audio — 28 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Yist Y. Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yist Y. Lin's perspective
Ordered by how strongly the researchers Yist Y. Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Representation Learning with Contrastive Predictive Coding
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- SUPERB: Speech processing Universal PERformance Benchmark (2021) — 1,225 citations
- Utilizing Self-supervised Representations for MOS Prediction (2021) — 73 citations