Results 21 to 30 of about 549,786 (309)
Remote Sensing, 2022 In recent years, supervised learning, represented by deep learning, has shown good performance in remote sensing image scene classification with its powerful feature learning ability. However, this method requires large-scale and high-quality handcrafted
Xiliang Chen, Guobin Zhu, Mingqing Liu
doaj +1 more source
Biased Self-supervised Learning for ASR
INTERSPEECH 2023, 2023 Self-supervised learning via masked prediction pre-training (MPPT) has shown impressive performance on a range of speech-processing tasks. This paper proposes a method to bias self-supervised learning towards a specific task. The core idea is to slightly finetune the model that is used to obtain the target sequence. This leads to better performance and
Kreyssig, Florian L. +5 more
openaire +2 more sources
Self-Supervised Node Classification with Strategy and Actively Selected Labeled Set
Entropy, 2022 To alleviate the impact of insufficient labels in less-labeled classification problems, self-supervised learning improves the performance of graph neural networks (GNNs) by focusing on the information of unlabeled nodes.
Yi Kang +3 more
doaj +1 more source
Benchmarking the Semi-Supervised Naïve Bayes Classifier [PDF]
, 2015 Semi-supervised learning involves constructing predictive models with both labelled and unlabelled training data. The need for semi-supervised learning is driven by the fact that unlabelled data are often easy and cheap to obtain, whereas labelling data ...
Bagnall, Anthony +2 more
core +1 more source
Homomorphic Self-Supervised Learning
, 2022 In this work, we observe that many existing self-supervised learning algorithms can be both unified and generalized when seen through the lens of equivariant representations. Specifically, we introduce a general framework we call Homomorphic Self-Supervised Learning, and theoretically show how it may subsume the use of input-augmentations provided an ...
Keller, T. Anderson +2 more
openaire +2 more sources
Group-Based Siamese Self-Supervised Learning
Electronic Research Archive, 2023 <p>In this paper, we introduced a novel group self-supervised learning approach designed to improve visual representation learning. This new method aimed to rectify the limitations observed in conventional self-supervised learning. Traditional methods tended to focus on embedding distortion-invariant in single-view features.
Zhongnian Li +3 more
openaire +2 more sources
SSDL: Self-Supervised Dictionary Learning [PDF]
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021 The label-embedded dictionary learning (DL) algorithms generate influential dictionaries by introducing discriminative information. However, there exists a limitation: All the label-embedded DL methods rely on the labels due that this way merely achieves ideal performances in supervised learning.
Shao, Shuai +5 more
openaire +2 more sources
Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning
IEEE Access, 2022 In recent years, the machine learning community has devoted an increasing attention to self-supervised learning.The performance gap between supervised and self-supervised has become increasingly narrow in many computer vision applications. In this paper,
Hacene Terbouche +3 more
doaj +1 more source
Credal Self-Supervised Learning
, 2021 Self-training is an effective approach to semi-supervised learning. The key idea is to let the learner itself iteratively generate "pseudo-supervision" for unlabeled instances based on its current hypothesis. In combination with consistency regularization, pseudo-labeling has shown promising performance in various domains, for example in computer ...
Lienen, Julian, Hüllermeier, Eyke
openaire +3 more sources
PackerRobo: Model-based robot vision self supervised learning in CART
Alexandria Engineering Journal, 2022 Robots are most widely used to replace human contribution with machine generated response. When humans interact with robots, its mandatory for both to forecast actions based on current conditions. Huge efforts have been channelized towards attaining this
Asif Khan +8 more
doaj +1 more source