106 related articles for article (PubMed ID: 33646956)
1. MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning.
Mai Z; Hu G; Chen D; Shen F; Shen HT
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3050-3064. PubMed ID: 33646956
[TBL] [Abstract][Full Text] [Related]
2. Universum-Inspired Supervised Contrastive Learning.
Han A; Geng C; Chen S
IEEE Trans Image Process; 2023; 32():4275-4286. PubMed ID: 37405884
[TBL] [Abstract][Full Text] [Related]
3. Interpolation consistency training for semi-supervised learning.
Verma V; Kawaguchi K; Lamb A; Kannala J; Solin A; Bengio Y; Lopez-Paz D
Neural Netw; 2022 Jan; 145():90-106. PubMed ID: 34735894
[TBL] [Abstract][Full Text] [Related]
4. R-Mixup: Riemannian Mixup for Biological Networks.
Kan X; Li Z; Cui H; Yu Y; Xu R; Yu S; Zhang Z; Guo Y; Yang C
KDD; 2023 Aug; 2023():1073-1085. PubMed ID: 38343707
[TBL] [Abstract][Full Text] [Related]
5. R-Mixup: Riemannian Mixup for Biological Networks.
Kan X; Li Z; Cui H; Yu Y; Xu R; Yu S; Zhang Z; Guo Y; Yang C
ArXiv; 2023 Jun; ():. PubMed ID: 37332568
[TBL] [Abstract][Full Text] [Related]
6. Suppressing label noise in medical image classification using mixup attention and self-supervised learning.
Gao M; Jiang H; Hu Y; Ren Q; Xie Z; Liu J
Phys Med Biol; 2024 May; 69(10):. PubMed ID: 38636495
[TBL] [Abstract][Full Text] [Related]
7. FMixCutMatch for semi-supervised deep learning.
Wei X; Wei X; Kong X; Lu S; Xing W; Lu W
Neural Netw; 2021 Jan; 133():166-176. PubMed ID: 33217685
[TBL] [Abstract][Full Text] [Related]
8. Multi-sample
Abhishek K; Brown CJ; Hamarneh G
J Big Data; 2024; 11(1):43. PubMed ID: 38528850
[TBL] [Abstract][Full Text] [Related]
9. Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.
Guo X; Chen Z; Liu J; Yuan Y
Med Image Anal; 2022 May; 78():102394. PubMed ID: 35219939
[TBL] [Abstract][Full Text] [Related]
10. Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis.
Smucny J; Shi G; Lesh TA; Carter CS; Davidson I
Neuroimage Clin; 2022; 36():103214. PubMed ID: 36183611
[TBL] [Abstract][Full Text] [Related]
11. MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams.
Peng X; Wang FY; Li L
Neural Netw; 2023 Apr; 161():525-534. PubMed ID: 36805267
[TBL] [Abstract][Full Text] [Related]
12. Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification.
Luo C; Song C; Zhang Z
IEEE Trans Pattern Anal Mach Intell; 2023 Feb; 45(2):1963-1980. PubMed ID: 35417346
[TBL] [Abstract][Full Text] [Related]
13. Theory of adaptive SVD regularization for deep neural networks.
Bejani MM; Ghatee M
Neural Netw; 2020 Aug; 128():33-46. PubMed ID: 32413786
[TBL] [Abstract][Full Text] [Related]
14. Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.
Yang X; Hu X; Zhou S; Liu X; Zhu E
IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2054-2065. PubMed ID: 35797319
[TBL] [Abstract][Full Text] [Related]
15. Unbiased Model-Agnostic Metalearning Algorithm for Learning Target-Driven Visual Navigation Policy.
Xue T; Yu H
Comput Intell Neurosci; 2021; 2021():5620751. PubMed ID: 34925492
[TBL] [Abstract][Full Text] [Related]
16. Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering.
Li Y; Yang Q; Wang FL; Lee LK; Qu Y; Hao T
Artif Intell Med; 2023 Oct; 144():102667. PubMed ID: 37783542
[TBL] [Abstract][Full Text] [Related]
17. Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images.
Morales R; Martinez-Arroyo A; Aguilar E
Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610246
[TBL] [Abstract][Full Text] [Related]
18. Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization.
Xu K; Lai R; Gu L; Li Y
IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3488-3500. PubMed ID: 34606464
[TBL] [Abstract][Full Text] [Related]
19. SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map.
Choi J; Lee C; Lee D; Jung H
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960539
[TBL] [Abstract][Full Text] [Related]
20. Generalized Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data.
Fu Y; Fu Y; Chen J; Jiang YG
IEEE Trans Image Process; 2022; 31():7078-7090. PubMed ID: 36346859
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]