Chan Hee Song

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it

Whom Chan Hee Song trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Ruslan Salakhutdinov
10. Alex Graves

Who trusts Chan Hee Song overall

1. Jie Huang
2. Moo Jin Kim
3. Yueen Ma
4. Kevin Chen-Chuan Chang
5. Chelsea Finn

Papers from Chan Hee Song's perspective

Ordered by how strongly the researchers Chan Hee Song 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models (2022) — 743 citations