Minae Kwon

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Natural Language Processing — 37 citations into it
• Reinforcement Learning — 31 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Minae Kwon trusts overall

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

1. Ronald J. Williams
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Chelsea Finn
6. Alex Krizhevsky
7. Pieter Abbeel
8. Oriol Vinyals
9. Ilya Sutskever
10. Yann LeCun

Papers from Minae Kwon's perspective

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

Their papers

• Human-level play in the game of Diplomacy by combining language models with strategic reasoning (2022) — 592 citations
• Reward Design with Language Models (2023) — 323 citations
• Continual Adaptation for Efficient Machine Communication (2019) — 39 citations