Deja Workman

Computer Vision and Pattern Recognition · 2023

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

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Deja Workman trusts

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

1. Li Deng (in Computer Vision and Pattern Recognition)

Papers from Deja Workman's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• AI Art and its Impact on Artists (2023) — 329 citations