Rilyn Han

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Large Language Models — 16 citations into it

Whom Rilyn Han trusts overall

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

1. Alec Radford

Papers from Rilyn Han's perspective

Ordered by how strongly the researchers Rilyn Han 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Improving Language Understanding by Generative Pre-Training
9. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces (2024) — 669 citations