LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "curriculum learning" as a keyword



A statistical categorization-based curriculum learning approach for multi-task classification of images

Sign Up to like & get
recommendations! Published in 2025 at "Applied Intelligence"

DOI: 10.1007/s10489-025-06270-2

Abstract: Image classification and the detection of features within images remain significant challenges in computer vision. Several approaches, including serial task models and multi-output models, have been explored to address these challenges. This study focuses on… read more here.

Keywords: classification; task; detection; categorization ... See more keywords

Curriculum learning for human compositional generalization

Sign Up to like & get
recommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2205582119

Abstract: Significance In novel situations, people need to repurpose past knowledge to guide behavior (generalization). How they do this remains a mystery in cognitive science. Moreover, building machines that can achieve this is a key goal… read more here.

Keywords: curriculum learning; human compositional; learning human; compositional generalization ... See more keywords

Reinforcement Learning-Based Path Generation Using Sequential Pattern Reduction and Self-Directed Curriculum Learning

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3015245

Abstract: Recent advancements in robots and deep learning have led to active research in human-robot interaction. However, non-physical interaction using visual devices such as laser pointers has gained less attention than physical interaction using complex robots… read more here.

Keywords: self directed; reinforcement learning; curriculum learning; curriculum ... See more keywords

Adaptive Curriculum Learning for Video Captioning

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3160451

Abstract: A portion of the data in video captioning datasets are noisy and unsuitable for models to learn at early stages, e.g., there could be a generic 4-word-long caption lacking distinctive details of video content and… read more here.

Keywords: curriculum learning; adaptive curriculum; learning video; video captioning ... See more keywords

Data Distribution-Based Curriculum Learning

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3465793

Abstract: The order of training samples can have a significant impact on a model’s performance. Curriculum learning is an approach for gradually training a model by ordering samples from ‘easy’ to ‘hard’. This paper proposes the… read more here.

Keywords: curriculum; based curriculum; curriculum learning; data distribution ... See more keywords

A Novel Curriculum Learning Training Strategy for Pomegranate Growth Stage Classification Using YOLO Models on Multi-Source Datasets for Precision Agriculture

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3581794

Abstract: Pomegranates are among the many vital crops generally believed to offer health quality and economically impact agriculture. Accurate detection and classification of the pomegranate growth stages enables fruit harvesting robots, resulting in yield optimization, supply… read more here.

Keywords: detection; curriculum; curriculum learning; training strategy ... See more keywords

Graph Attention-based Curriculum Learning for Mental Healthcare Classification.

Sign Up to like & get
recommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"

DOI: 10.1109/jbhi.2023.3274486

Abstract: Research has examined the use of user-generated data from online media as a means of identifying and diagnosing depression as a serious mental health issue that can have a significant impact on an individual's daily… read more here.

Keywords: curriculum learning; depression; based curriculum; model ... See more keywords

Unsupervised Radio Frequency Fingerprint Identification Based on Curriculum Learning

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2023.3248127

Abstract: Radio frequency fingerprint (RFF) identification aims to identify emitters by extracting the inherent physical-layer features. Despite the significant accuracy achieved in a supervised learning manner, few works have focused on unsupervised RFF identification. To this… read more here.

Keywords: curriculum learning; identification; frequency fingerprint; based curriculum ... See more keywords

Feedback Network With Curriculum Learning for Earthquake Event Classification

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3097041

Abstract: In this letter, we propose an earthquake event classification model utilizing a feedback network and curriculum learning (CL). In particular, we propose the CL method with a feature concatenation using gated convolution so that CL… read more here.

Keywords: curriculum learning; earthquake event; feedback network; event classification ... See more keywords

Statistical Wide-Sense Curriculum Learning for Neural Network-Based Pre-Distorter in Coherent Optical Transmitters

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2022.3179765

Abstract: Optical communications systems’ performance is limited by physical layer nonlinearities inherent in some of their transmitter components. In order to overcome some of these limitations, several approaches utilizing artificial neural networks to digitally pre-distort the… read more here.

Keywords: neural network; network; curriculum learning; network based ... See more keywords

Curriculum Learning-Based Fuzzy Support Vector Machine

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2023.3319170

Abstract: To improve the robustness of SVM models to noise and outliers, fuzzy support vector machine (FSVM) has been proposed. However, many existing FSVM models have limitations such as their dependence on assumptions, limited optimization, and… read more here.

Keywords: fuzzy support; support vector; vector machine; learning based ... See more keywords