BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

303 related articles for article (PubMed ID: 34081579)

  • 1. How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
    Wang Y; Zhang L; Yao Y; Fu Y
    IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):6240-6253. PubMed ID: 34081579
    [TBL] [Abstract][Full Text] [Related]  

  • 2. End-to-end novel visual categories learning via auxiliary self-supervision.
    Qing Y; Zeng Y; Cao Q; Huang GB
    Neural Netw; 2021 Jul; 139():24-32. PubMed ID: 33677376
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning.
    Wei XS; Xu HY; Yang Z; Duan CL; Peng Y
    IEEE Trans Pattern Anal Mach Intell; 2024 Apr; 46(4):2091-2103. PubMed ID: 37971914
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Few-Shot Learning With a Strong Teacher.
    Ye HJ; Ming L; Zhan DC; Chao WL
    IEEE Trans Pattern Anal Mach Intell; 2024 Mar; 46(3):1425-1440. PubMed ID: 35298376
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition.
    Han M; Zhan Y; Luo Y; Du B; Hu H; Wen Y; Tao D
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):5447-5460. PubMed ID: 36136920
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Unsupervised Few-Shot Feature Learning via Self-Supervised Training.
    Ji Z; Zou X; Huang T; Wu S
    Front Comput Neurosci; 2020; 14():83. PubMed ID: 33178000
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning.
    Zhang B; Ye H; Yu G; Wang B; Wu Y; Fan J; Chen T
    IEEE Trans Image Process; 2022; 31():2309-2320. PubMed ID: 35245196
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.
    Xu C; Liu C; Sun X; Yang S; Wang Y; Wang C; Fu Y
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7639-7653. PubMed ID: 36409816
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration.
    Yang S; Wu S; Liu T; Xu M
    IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):9830-9843. PubMed ID: 34860647
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning.
    Chen P; Wang J; Lin H; Zhao D; Yang Z
    Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37549065
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A comparison of few-shot and traditional named entity recognition models for medical text.
    Ge Y; Guo Y; Yang YC; Al-Garadi MA; Sarker A
    IEEE Int Conf Healthc Inform; 2022 Jun; 2022():84-89. PubMed ID: 37641590
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mutual Correlation Network for few-shot learning.
    Chen D; Chen F; Ouyang D; Shao J
    Neural Netw; 2024 Jul; 175():106289. PubMed ID: 38593559
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Meta-Transfer Learning Through Hard Tasks.
    Sun Q; Liu Y; Chen Z; Chua TS; Schiele B
    IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1443-1456. PubMed ID: 32822293
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition.
    Wang RQ; Zhang XY; Liu CL
    IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6990-6996. PubMed ID: 34097618
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Co-Labeling for Multi-View Weakly Labeled Learning.
    Xu X; Li W; Xu D; Tsang IW
    IEEE Trans Pattern Anal Mach Intell; 2016 Jun; 38(6):1113-25. PubMed ID: 26353366
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning.
    Nartey OT; Yang G; Asare SK; Wu J; Frempong LN
    Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32397197
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels.
    Algan G; Ulusoy I
    IEEE Trans Image Process; 2022; 31():4352-4362. PubMed ID: 35731778
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Progressive Learning for Person Re-Identification with One Example.
    Wu Y; Lin Y; Dong X; Yan Y; Bian W; Yang Y
    IEEE Trans Image Process; 2019 Jan; ():. PubMed ID: 30629502
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hessian-regularized co-training for social activity recognition.
    Liu W; Li Y; Lin X; Tao D; Wang Y
    PLoS One; 2014; 9(9):e108474. PubMed ID: 25259945
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.