Sungjin Lee

Artificial Intelligence · with Gao · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 157 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it; #6,041 of 35,345 by trust here, #10,430 by citations
• Natural Language Processing — 69 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it; #17,087 of 21,575 by trust here, #14,478 by citations
• Reinforcement Learning — 20 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Sungjin Lee trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Oriol Vinyals
5. Sepp Hochreiter
6. Alex Krizhevsky
7. Jimmy Ba
8. Ilya Sutskever
9. J. Urgen Schmidhuber
10. Antoine Bordes

Who trusts Sungjin Lee overall

1. Benjamin Ehret
2. Fan-Keng Sun
3. Antreas Antoniou
4. Qi Zhu
5. Christian Henning
6. Cheng-Hao Ho
7. Fei Mi
8. Maria R. Cervera
9. Massimiliano Patacchiola
10. Hung-yi Lee

Papers from Sungjin Lee's perspective

Ordered by how strongly the researchers Sungjin Lee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Jointly Optimizing Diversity and Relevance in Neural Response Generation (2019) — 83 citations
• Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning (2017) — 195 citations
• Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach (2019) — 25 citations
• ONENET: Joint domain, intent, slot prediction for spoken language understanding (2017) — 75 citations
• Toward Continual Learning for Conversational Agents (2017) — 41 citations