Hyojin Bahng

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 543 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it
• Computer Vision and Pattern Recognition — 79 citations into it
• Evaluation & Benchmarks — 25 citations into it
• Prompting & Reasoning — 21 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Large Language Models — 13 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Media Technology — 11 citations into it

Whom Hyojin Bahng trusts overall

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

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

Who trusts Hyojin Bahng overall

1. Yabin Wang
2. Jingyi Zhang
3. Shoufa Chen
4. Menglin Jia
5. Xingxuan Zhang
6. Zhiwu Huang
7. Jiaxing Huang

Papers from Hyojin Bahng's perspective

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

Their papers

• Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models (2022) — 121 citations
• Exploring Visual Prompts for Adapting Large-Scale Models (2022) — 380 citations
• Learning De-biased Representations with Biased Representations (2019) — 339 citations