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
김주헌
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) …
이형권
[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…
최승준
Topic: Interpretable Mixture of Experts Keywords: Interpretable Machine Learning Mixture of Experts Time-series data Tabular data Reference: Ismail, Aya Abdelsalam, et al. "Interpretable M…
김철규
Topic: Expressive Monotonic Neural Networks. Keywords: interpretable deep learning, Model generalization Neural network, Monotonicity, Lipschitz continuous Reference: Nolte, Niklas, Oua…
2023-06-21
Topic: A New Loss Function-Based Method for Multiresponse Optimization keywords: Bias Future Response Quality of Predictions Robustness Reference: Young-Hyun Ko, Kwang-Jae Kim & Chi-Hyuck …
2023.06.21
Topic: A prediction region-based approach to model uncertainty for multi-response optimization keywords: multi-response optimization prediction region model uncertainty loss function location…
2023.05.26
Topic: Domain-Adversarial Training of Neural Networks Keywords: domain adaptation Transfer learning representation learning Reference: Ganin, Yaroslav, et al. "Domain-adversarial training …
2023.05.19
Topic: Deep Metric Learning for K Nearest Neighbor Classification Keywords: K Nearest Neighbor Distance metric learning Prototype reduction Reference: T. Liao, Z. Lei, T. Zhu, S. Zeng, Y. L…
2023.04.28
Topic: Physics–informed Bayesian optimization - Revisited Keywords: Physics-informed machine learning Gaussian process Bayesian optimization Reference: Multiple references
Self-semi-meta learning for tabular dataset [1] papers : [1] VIME : extending the success of self and semi supervised learning to tabular domain [2] STUNT : Few shot learning with self generat…
2023.04.21
한민석
