Supervised training compared with no training or self-training in patients with subacromial pain syndrome: a systematic review and meta-analysis.
Sign Up to like & getrecommendations! Published in 2021 at "Archives of physical medicine and rehabilitation"
DOI: 10.1016/j.apmr.2021.03.027
Abstract: OBJECTIVE To study the effects of supervised training in adults with subacromial pain syndrome. DATA SOURCES EMBASE, MEDLINE, Cochrane Library, Cinahl, and Pedro were searched from inception to March 2020. STUDY SELECTION Independent reviewers selected… read more here.
Keywords: pain syndrome; training; self training; subacromial pain ... See more keywords
Adversarial purification using a modified guided diffusion model and adaptive self-supervised training
Sign Up to like & getrecommendations! Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ada476
Abstract: As the applications of deep neural networks broaden, enhancing their robustness against adversarial attacks becomes increasingly important. Multiple studies have demonstrated their vulnerability to adversarial perturbations. This paper presents an iterative method employing a probabilistic… read more here.
Keywords: method; purification; self supervised; supervised training ... See more keywords
Exploration of distributed self-supervised training optimization strategies in visual tasks
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Low-Carbon Technologies"
DOI: 10.1093/ijlct/ctae222
Abstract: In response to the growing demand for handling unlabeled data in visual tasks, this paper introduces a novel federated self-supervised learning model (FedSSL), which employs a federated learning framework to conduct distributed model training across… read more here.
Keywords: exploration distributed; self supervised; supervised training; model ... See more keywords
Large-Scale Semi-Supervised Training in Deep Learning Acoustic Model for ASR
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940961
Abstract: This study investigated large-scale semi-supervised training (SST) to improve acoustic models for automatic speech recognition. The conventional self-training, the recently proposed committee-based SST using heterogeneous neural networks and the lattice-based SST were examined and compared.… read more here.
Keywords: supervised training; large scale; scale semi; semi supervised ... See more keywords
Cross-Sensor Self-Supervised Training and Alignment for Remote Sensing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3566457
Abstract: Large-scale “foundation models” have gained traction as a way to leverage the vast amounts of unlabeled remote sensing data collected every day. However, due to the multiplicity of Earth Observation (EO) satellites, these models should… read more here.
Keywords: remote sensing; supervised training; sensor; self supervised ... See more keywords
Reinforced Self-Supervised Training for Few-Shot Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3370488
Abstract: Few-shot learning is an open problem to learning a new concept with little supervision from limited labeled data. As an alternative knowledge for few-shot learning, self-supervised learning can extract supervisory signals directly from unlabeled data.… read more here.
Keywords: shot; self supervised; shot learning; reinforced self ... See more keywords