Sangha Kim

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Natural Language Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom Sangha Kim trusts overall

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

1. Ronald J. Williams
2. Dzmitry Bahdanau
3. Matt Post
4. Ashish Vaswani
5. Yoshua Bengio
6. Andrew Y. Ng
7. Geoffrey E. Hinton
8. Diederik P. Kingma
9. Kyunghyun Cho
10. Ilya Sutskever

Papers from Sangha Kim's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Look Harder: A Neural Machine Translation Model with Hard Attention (2019) — 18 citations