Bin Yu

Artificial Intelligence · with Ghosh · 2024

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Large Language Models — 8 citations into it

Whom Bin Yu trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alec Radford
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ilya Sutskever
9. L. Eon Bottou
10. X. Zhang

Papers from Bin Yu's perspective

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

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

Their papers

• LoRA+: Efficient Low Rank Adaptation of Large Models (2024) — 442 citations