Topic: Object pose estimation Keywords: Two dimensional displays Pose estimation Real-time Multiple person Part affinity fields Reference: Cao et a…
2023.11.30
김주헌
Topic: MAML: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Keywords: meta learning MAML few shot learning Reference: Chelsea Finn…
최승준
Topic: TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks keywords: Anomaly detection Generative adversarial network Time series…
2023.11.16
이형권
Keywords: Probabilistic prediction, Gradient boosting Reference: Duan, Tony, et al. "Ngboost: Natural gradient boosting for probabilistic prediction."…
2023.11.09
김현호
Topic: BART: Bayesian Additive Regression Trees Keywords: Bayesian backfitting MCMC Sum-of-trees model Reference: Hugh A. Chipman, Edward I. George, …
구본영
Topic: Weight Uncertainty in Neural Networks Keywords: model uncertainty bayesian neural network bayesian inference Reference: Charles Blundell, Juli…
2023.10.26
Topic: Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts keywords: Test-time adaptation with Domain generalization Meta-l…
2023.10.12
김태욱
Topic: Domain Adapation for regression Keywords: Covariate Shift [EXPERIMENT1] Distribution matching on source space for Regression [EXPERIMENT2] Distr…
2023.09.07
변유정
Topic: Correlation Alignment for Domain Adaptation Keywords: Domain adaptation Transfer Learning Correlation Alignment Reference: Baochen Sun, Jiashi…
Topic: Conditional neural process Keywords: Gaussian process Neural network Meta learning Reference: [Article] Marte Garnelo et al., Conditional Neu…
2023.08.23
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…
2023.08.09
[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-distribut…
2023.08.02
백경인
Topic: Physics informed kriging Keywords: Physics information Gaussian process regression Active learning Error bound Reference: X. Yang et al., “Ph…
2023.07.26
