Introduction of Knowledge distillation keyword : knowledge distillation, deep learning, model compression
2022.01.12
김태욱
Topic: Balanced Distribution Adaptation for Transfer Learning Keywords: Transfer learning Domain adaptation Distribution adaptation Class imbalance R…
김주헌
keyword: imbalance, oversampling, contrastive learning, generative model
22.01.12
이주형
Transfer learning for product defect detection of new products under frequent product renewal : a die-casting case 빈번한 제품 경신 하에서 신제품 불량 탐지를 위한 전이학습 : 주조 공정 사례
2022.01.05
김지수
Topic : OOD(Out-of_Distribution) sample detection Area : Anomaly detection Deep learning (Object detection, NLP, etc.) Details : two paper reviews …
21.05.21
이재민
keyword: imbalanced datasets, sampling, minority sampling, data augmentation, class imbalance
2021-05-13
Set_transformer_clustering
2021.05.06
한민석
Topic: Practical Bayesian Optimization of Machine Learning Algorithms Keywords: Bayesian optimization Hyperparameter Gaussian process Expected improveme…
Topic: Evolving domain adaptation Keywords: meta-learning domain adaptaion continual domain shift Reference: Hong Liu, Mingsheng Long∗, Jianmin Wan…
2021-04-08
김현호
Keyword: class imbalance, oversampling, extreme imbalance
Topic: Sequential Parameter Optimization Keywords: Search heuristic Parameter optimization Evolutionary algorithm Reference: T. Bartz-Beielstein, C. …
2021.03.25
DICE : DEEP SIGNIFICANCE CLUSTERING FOR OUTCOME-AWARE STRATIFICATION
2021.03.18
- Fully-convolutional siamese networks for object tracking - Luca Bertinetto & Jack Valmadre - university of oxford - object tracking
2021.03.11
Transformer, BERT, SBERT
석슬기
Papers review : Is bert really robust natural language attack on text classification and entailment (AAAI 2020 ) BAE: BERT-based Adversarial Examples for…
2021.02.24
심아름
