Joo Seong Jeong

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Large Language Models — 16 citations into it
• Natural Language Processing — 15 citations into it
• Model Architectures — 5 citations into it
• Multimodal Learning — 5 citations into it

Whom Joo Seong Jeong trusts overall

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

1. Kaiming He
2. Ronald J. Williams
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Ilya Sutskever
7. Alec Radford
8. Noam Shazeer
9. J. Urgen Schmidhuber
10. Diederik P. Kingma

Who trusts Joo Seong Jeong overall

1. Ying Sheng
2. Yinmin Zhong
3. Amey Agrawal
4. Zichang Liu

Papers from Joo Seong Jeong's perspective

Ordered by how strongly the researchers Joo Seong Jeong 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Orca: A Distributed Serving System for Transformer-Based Generative Models (2022) — 785 citations