MLPR 연구실에서는 Machine Learning과 Pattern Recognition을 활용해서 효율적인 인공지능 알고리즘 또는 모델을 만드는 연구를 하고 있습니다.  특히, Ubiqutous AI "누구에게나 어디에서든지 사용가능한 AI"를 지향하고 있습니다.  

We are interested in Ubiqutous AI  but not limited to:

AI in resource-constrained environments: meta-learning, domain generalization, domain adaptation

Model compression (on device learning): model pruning, model quantization, ensemble method and knowledge distillation

Application domain: generative model, natural language processing (NLP) and its downstream tasks, object segmentation 

Application: Object generation