Unso Eun Seo Jo

Representation & Self-Supervised Learning · 2022

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

• Representation & Self-Supervised Learning — 8 citations into it

Whom Unso Eun Seo Jo trusts overall

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

1. Gregory R. Koch
2. Timo Schick
3. Geoffrey E. Hinton
4. Alexis Conneau

Papers from Unso Eun Seo Jo's perspective

Ordered by how strongly the researchers Unso Eun Seo Jo trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Efficient Few-Shot Learning Without Prompts (2022) — 311 citations