Yuan-Fang Li
Artificial Intelligence · with Eldan · 2022–2023
A researcher in the Science corpus: 5 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 112 citations into it
- Computer Vision and Pattern Recognition — 42 citations into it
- Large Language Models — 38 citations into it
- Natural Language Processing — 31 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Efficiency & Compression — 11 citations into it
- Model Architectures — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Yuan-Fang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Alex Graves
- Jimmy Ba
- Ruslan Salakhutdinov
Who trusts Yuan-Fang Li overall
Papers from Yuan-Fang Li's perspective
Ordered by how strongly the researchers Yuan-Fang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Sparks of Artificial General Intelligence: Early experiments with GPT-4 (2023) — 4,318 citations
- Textbooks Are All You Need (2023) — 626 citations
- TinyStories: How Small Can Language Models Be and Still Speak Coherent English? (2023) — 495 citations
- Textbooks Are All You Need II: phi-1.5 technical report (2023) — 664 citations
- Pretrained Language Model in Continual Learning: A Comparative Study (2022) — 77 citations