[Paper Review]
Speaker : Daeun Moon
Topic :Are Large Language Models Good Statisticians?
Date : 2025/04/11
Time : 10:00~
[Paper Review]
Speaker : Seung Woo Shin
Topic : Robust Test-Time Adaptation in Dynamic Scenarios
Date : 2025/04/04
Time : 10:00~
[Paper Review]
Speaker : Jiwon Kim
Topic: CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
Date : 2025/04/04
Time : 10:30~
[Paper Review]
Speaker : Jahoon Jeong
Topic : Explainable time series anomaly detection using masked latent generative modeling
Date : 2025/03/28
Time : 10:30~
[Paper Review]
Speaker : Yejin Kwon
Topic : Vision language models are blind
Date : 2025/03/21
Time : 10:00~
[Paper Review]
Speaker : Dong Hwan Kim
Topic: Understand Likelihood of Normalizing Flow and Image Complexity Through The Lens of Out-of Distribution Detection
Date : 2025/03/21
Time : 10:30~
[Rehearsal]
Speaker : Ho Yeon Lee
Topic : 삼성디스플레이 Deep Learning 기반 불량 혐의설비 탐지 모델 개발 최종 보고
Date : 2025/03/21
Time : 10:00~
[Paper Review]
Speaker : Youngje Oh
Topic : Eigen-entropy based time series signatures to support multivariate time series classification
Date : 2025/02/24
Time : 17:30~
[Paper Review]
Speaker : Joonkyo Shim
Topic : A Diffusion-Based Framework for Multi-Class Anomaly Detection
Date : 2025/02/24
Time : 18:00~
[Paper Review]
Speaker : Yu Jun Yang
Topic: Continual Test-Time Domain Adaptation
Date : 2025/02/17
Time : 17:30~
[Paper Review]
Speaker : Beomgyo Shin
Topic : TransHP: Image Classification with Hierarchical Prompting
Date : 2025/02/10
Time : 17:30~
[Paper Review]
Speaker : Yongmin Kim
Topic : Tent: Fully Test-Time Adaptation by Entropy Minimization
Date : 2025/01/20
Time : 18:00~
[Paper Review]
Speaker : Jiwon Kim
Topic: Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Date : 2025/01/20
Time : 17:30~
[Paper Review]
Speaker : Yejin Kwon
Topic :Chain-of-Thought Reasoning Without Prompting
Date : 2025/01/13
Time : 18:00~
[Paper Review]
Speaker : Jahoon Jeong
Topic: Comprehensive Overview of Time Seires Classification
Date : 2025/01/13
Time : 17:30~
[Paper Review]
Speaker : Dong Hwan Kim
Topic : Estimating The Intrinsic Dimension of Datasets by a Minimal Neighborhood Information
Date : 2025/01/06
Time : 18:00~
[Paper Review]
Speaker : Hoyeon Lee
Topic: Sharpness-Aware Gradient Matching for Domain Generalization
Date : 2025/01/06
Time : 17:30~
[Rehearsal]
Speaker : Gaeun Kim
Topic : A Foundation Models for Echocardiography via Spatio-Temporal Joint Embedding Predictive Architectures with ConvNets
Date : 2024/12/30
Time : 18:00~
[Paper Review]
Speaker : Youngje Oh
Topic : Improving position encoding of transformers for multivariate time series classification
Date : 2024/12/30
Time : 17:30~