Daniel Jurafsky

Computer Vision and Pattern Recognition · 2022

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

• Computer Vision and Pattern Recognition — 35 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Daniel Jurafsky trusts overall

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

1. Alex Krizhevsky

Papers from Daniel Jurafsky's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Learning Multiple Layers of Features from Tiny Images
3. Microsoft COCO: Common Objects in Context
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
7. Attention is All you Need (Neural Information Processing Systems)
8. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• When and why vision-language models behave like bags-of-words, and what to do about it? (2022) — 670 citations