Topic: Continuous Temporal Domain Generalization keywords: Temporal Domain Generalization Continuous Temporal Domain Generalization Koopman operator Mod…
2025.04.11
이형권
Topic: Temporal Fusion Transformers for Interpretable Multi-Horizon Time Series Forecasting Keywords: Transformers Time Series Forecasting Interpretabil…
2025.03.28
김철규
Topic: Converting tabular data into a 2D map of feature relationship Keywords: Tabular data Feature correlation Spatial proximity Optimal transport Int…
2025.03.12
김주헌
Topic: Dynamic Curriculum Learning for Imbalanced Data Classification Keywords: Curriculum Learning Class Imbalance Sampling Strategy Triplet Loss R…
2024.07.31.
변유정
Topic: Correlation Recurrent Units A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data Keywords: Neural network RNN …
2024.07.30.
김찬호
Topic: Periodic activation function Keywords: Neural network Periodicity Activation function Extrapolation Reference: Liu et al., “Neural Networks F…
2024.07.23
Topic: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? keywords: Semantic segmentation Depth regression Uncertainty estimati…
Introduction to Bayesian Neural Networks
이종석
Topic: Kolmogorov-Arnold Networks Keywords: Kolmogorov–Arnold representation theorem MLP Deep learning Interpretability Continual Learning
2024.07.10
Topic: Recommender System Keywords: GNN GC-MC Message passing Matrix Factorization Reference: Berg, Rianne van den, Thomas N. Kipf, and Max Welling.…
2024.06.04.
Topic: Missing imputation Keywords: Missing mechanism Missing data handling MICE (multiple imputation by chained equations) Reference: Azur et al., "…
2024.05.14
Topic: ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation keywords: Semantic segmentation Uncertainty estima…
2024.04.16
Topic: Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Keywords: Bayesian Optimization Few-Shot Deep Kernels Meta-Learning
2024.04.02
Topic : Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Keywords: Gradient-weighted class activation map Visual Explanati…
2024.03.19.
Topic : Federated Bayesian Optimization via Thompson Sampling Keywords: Federated Learning Bayesian Optimization Random Fourier Features Thompson Sampli…
2024.04.02.
구본영
