Topic: Domain Adapation for regression Keywords: Covariate Shift [EXPERIMENT1] Distribution matching on source space for Regression [EXPERIMENT2] Distribution matching on latent space for Reg…
2023.09.07
변유정
Topic: Correlation Alignment for Domain Adaptation Keywords: Domain adaptation Transfer Learning Correlation Alignment Reference: Baochen Sun, Jiashi Feng, Kate Saenko."Return of Frustratin…
최승준
Topic: Conditional neural process Keywords: Gaussian process Neural network Meta learning Reference: [Article] Marte Garnelo et al., Conditional Neural Processes, Proceedings of the 35th I…
2023.08.23
김주헌
Topic: Embedded local feature selection within mixture of experts keywords: Mixture of Experts Feature selection Regularization
2023.08.11
김철규
Topic: Incorporating Prior Function Belief into Neural Networks through Dropout and Negative Correlation Learning keywords: Dropout Bayesian Approximation Gaussian Process Model Uncertainty N…
2023.08.09
이형권
[Paper 1] Multi-domain adaptation for regression under conditional distribution shift [EXPERIMENT] Distribution matching for Regression
김찬호
Topic: Review on articles related to t-SNE keywords: Embedding Dimension Reduction Normal distribution Stochastic Neighbor Embedding(SNE) t-distribution
2023.08.02
백경인
Topic: Physics informed kriging Keywords: Physics information Gaussian process regression Active learning Error bound Reference: X. Yang et al., “Physics information aided kriging using st…
2023.07.26
Topic: Hypothesis Learning in Automated Experiment Keywords: Active learning Combinatorial library Ferroelectric Hypothesis learning Scanning probe microscopy Reference: M. A. Ziatdinov e…
2023.06.28
Normalizing Flows Keywords: deep learning, Deep Generative Models Density Estimation Reference: Kingma, Durk P., and Prafulla Dhariwal. "Glow: Generative flow with invertible 1x1 convo…
2023.07.12
김현호
Topic: VOS: Learning What You Don't Know by Virtual Outlier Synthesis keywords: Virtual Outlier Synthesis Object Detection Image Classification In-distribution(ID) Out-of-distribution(OOD) …
[Paper 1] d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding [Paper 2] Source-Free Domain Adaptation via Distribution Estimation
2023.07.05
부도현
Bayesian Optimization
이종석
Gaussian Processes
Topic: DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices Keywords: Domain adaptation Transfer Learning Domain adaptation Regression Reference: Ismail N…
