Topic: LoRAS: an oversampling approach for imbalanced datasets keywords: Imbalanced data Oversampling Synthetic sample generation Data augmentation Manifold learning Reference: Bej, S., D…
2023.04.21
이형권
Topic: Counterexample-guided learning of monotonic neural networks. Keywords: interpretable deep learning, Model generalization Neural network, Monotonicity, counter-example Reference: …
2023-04-07
김현호
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
김철규
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, …
김주헌
Keyword : Object detection, Non-maximum suppression, Bounding box regression
2023.03.24
GOGGLE_generative_modeling_for_tabular_data_by_learning_relational_structure
한민석
Topic: Constrained Monotonic Neural Networks Keywords: interpretable deep learning, Model generalization Neural network, Monotonicity, Reference: Runje, Davor, and Sharath M. Shankaranar…
2023-03-17
Topic: RIFS: a randomly restarted incremental feature selection algorithm keywords: RIFS RIFS2D Feature selection Reference: Ye, Y., Zhang, R., Zheng, W. et al. RIFS: a randomly restarted i…
2023.02.15
Topic: Image Super-Resolution Using Deep Convolutional Networks Keywords: Super-resolution Deep convolutional neural networks Sparse coding Reference: C. Dong, C. C. Loy, K. He and X. Tang,…
Topic: Similarity of Neural Network Representations Revisited Keywords: Neural Network Representation Similarity Reference: 1. Kornblith, Simon, et al. "Similarity of neural network rep…
2023-02-01
Learning loss for active learning CVPR 2019
2023.02.08
Learning physics constrained dynamic using autoencoder NeurIPS 2022
Paper review 1. Distilling the Knowledge in a Neural Network (G Hinton et al, 2014 NIPS) 2. Self-training with Noisy Student improves ImageNet classification (Q Xie et al, 2020 CVPR) 3. Knowledge …
2023.01.18
