Topic: Expressive Monotonic Neural Networks. Keywords: interpretable deep learning, Model generalization Neural network, Monotonicity, Lipschitz continuous Reference: Nolte, Niklas, Oua…
2023-06-21
김현호
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
이형권
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
최승준
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
김철규
Topic: Physics–informed Bayesian optimization - Revisited Keywords: Physics-informed machine learning Gaussian process Bayesian optimization Reference: Multiple references
김주헌
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
Topic: LoRAS: an oversampling approach for imbalanced datasets keywords: Imbalanced data Oversampling Synthetic sample generation Data augmentation Manifold learning Reference: Bej, S., D…
Topic: Counterexample-guided learning of monotonic neural networks. Keywords: interpretable deep learning, Model generalization Neural network, Monotonicity, counter-example Reference: …
2023-04-07
Paper 1 : Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Paper 2 : Towards Evaluating the Robustness of Neural Networks
2023.04.14
김태욱
Topic: Density peaks clustering using geodesic distances Keywords: Data clustering Density peaks clustering Geodesic distances Reference: Du, M., Ding, S., Xu, X. et al. Density peaks clust…
2023.03.31
Topic: VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data keywords: missing data variational autoencoder bayesian ridge data imputation Reference: R. …
Topic: Physics–informed Bayesian optimization Keywords: Physics-informed machine learning Gaussian process Bayesian optimization Structured probabilistic model Reference: M. A. Ziatdinov, …
Keyword : Object detection, Non-maximum suppression, Bounding box regression
2023.03.24
GOGGLE_generative_modeling_for_tabular_data_by_learning_relational_structure
