Byeonghwi Kim

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Meta & Continual Learning — 22 citations into it
• Reinforcement Learning — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Natural Language Processing — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Byeonghwi Kim trusts overall

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

1. Rahaf Aljundi
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Marc'Aurelio Ranzato

Papers from Byeonghwi Kim's perspective

Ordered by how strongly the researchers Byeonghwi Kim 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Online Continual Learning For Interactive Instruction Following Agents (2024) — 22 citations