Seungjai Min

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Reinforcement Learning — 7 citations into it

Whom Seungjai Min trusts overall

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

1. Ronald J. Williams
2. Ilya Sutskever

Papers from Seungjai Min's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Going deeper with convolutions
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Neural Machine Translation by Jointly Learning to Align and Translate (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. Human-level control through deep reinforcement learning
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Rethinking the Inception Architecture for Computer Vision
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• POMO: Policy Optimization with Multiple Optima for Reinforcement Learning (2020) — 645 citations