Susik Yoon

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Susik Yoon trusts overall

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

1. Alex Krizhevsky
2. Rahaf Aljundi
3. D. Steinley
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Zifeng Wang
7. Kaiming He
8. Diederik P. Kingma
9. Yann LeCun
10. Yabin Wang

Papers from Susik Yoon's perspective

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

Their papers

• One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning (2023) — 7 citations