Topic: LocalGLMnet : interpretable deep learning for tabular data Keywords: interpretable deep learning, generalized linear model, regression model, variable selection, attention layer, R…
2022.01.26
김현호
Paper Review Title: Unsupervised Deep Embedding for Clustering Analysis Authors: J. Xie, R.Girshick, A.Farhadi Year: 2016.
2022.01.19
이재민
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 Reference: J. Wang, Y. Chen, S. Hao, W. …
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
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
22.01.05
윤재섭
Topic : OOD(Out-of_Distribution) sample detection Area : Anomaly detection Deep learning (Object detection, NLP, etc.) Details : two paper reviews 1. A Baseline for Detecting Misclassife…
21.05.21
Denoising Diffusion Probabilistic Models
2021.05.24
How to represent part-whole hierarchies In a neural network
Free Lunch for Few-shot Learning: Distribution Calibration
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 improvement Reference: J. Snoek, H. Larochell…
Topic: Evolving domain adaptation Keywords: meta-learning domain adaptaion continual domain shift Reference: Hong Liu, Mingsheng Long∗, Jianmin Wang and Yu Wang, "Learning to Adapt to Evo…
2021-04-08