정리하여 내 것으로, AI 📂

쭌스🎄

I earned my BS degree in Computer Science and Data Science at the University of Wisconsin-Madison. I am currently pursuing my MS degree in AI at KAIST AI.

I am broadly interested in Computer Vision, Machine Learning, Open Vocabulary, and Object Detection/Segmentation. The main objective of my study is to build a reliable, efficient, and expansive AI/ML system for sustainable development.

2023.02.20
[강화학습] Q-Learning 이해하기

RL Q-Learning Reinforcement Learning

2023.02.17
Self/Semi-supervised Learning for Scene Text Recognition

Others Scene Text Recognition Self/Semi Supervised Learning

2023.02.15
DenseNet, SqueezeNet, MobileNet 이해하기

LightWeight DenseNet MobileNet Quantization SqueezeNet

2023.02.14
Meta, Transfer, Multi-task, Continual Learning 차이

LightWeight Continual Learning Meta Learning Multi-task Learning Transfer Learning

2023.02.14
Auto Encoder(오토 인코더) 이해하기

LightWeight AutoEncoder Compression

쭌스🎄

Recent Posts

2023.02.20 [강화학습] Q-Learning 이해하기

2023.02.17 Self/Semi-supervised Learning for Scene Text Recognition

2023.02.15 DenseNet, SqueezeNet, MobileNet 이해하기

2023.02.14 Meta, Transfer, Multi-task, Continual Learning 차이

2023.02.14 Auto Encoder(오토 인코더) 이해하기

2023.02.20
[강화학습] Q-Learning 이해하기

2023.02.17
Self/Semi-supervised Learning for Scene Text Recognition

2023.02.15
DenseNet, SqueezeNet, MobileNet 이해하기

2023.02.14
Meta, Transfer, Multi-task, Continual Learning 차이

2023.02.14
Auto Encoder(오토 인코더) 이해하기