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Label noise and class imbalance are common challenges encountered in real-world datasets. Existing approaches for robust learning often focus on addressing either label noise or class imbalance individually, resulting in suboptimal performance when both biases are present. To bridge this gap, this work introduces a novel meta-learning-based dynamic loss that adapts the objective functions during the training process to effectively learn a classifier from long-tailed noisy data. Specifically, our dynamic loss consists of two components: a label corrector and a margin generator. The label corrector is responsible for correcting noisy labels, while the margin generator generates per-class classification margins by capturing the underlying data distribution and the learning state of the classifier. In addition, we employ a hierarchical sampling strategy that enriches a small amount of unbiased metadata with diverse and challenging samples. This enables the joint optimization of the two components in the dynamic loss through meta-learning, allowing the classifier to effectively adapt to clean and balanced test data. Extensive experiments conducted on multiple real-world and synthetic datasets with various types of data biases, including CIFAR-10/100, Animal-10N, ImageNet-LT, and Webvision, demonstrate that our method achieves state-of-the-art accuracy.
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http://dx.doi.org/10.1109/TPAMI.2023.3311636 | DOI Listing |
Virol J
March 2025
Department of Infectious Diseases, Chongqing Key Laboratory of Infectious Diseases and Parasitic Diseases, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Pegylated interferon alpha (Peg-IFN-α) has the potential to eradicate hepatitis B surface antigen (HBsAg). This study aimed to investigate whether the expression levels of lymphocyte antigen 6 family member E (LY6E) and tripartite motif-containing protein 6 (TRIM6) mRNAs in peripheral blood mononuclear cells (PBMCs) of hepatitis B e antigen (HBeAg)-negative chronic hepatitis B virus (HBV) patients is associated with the response to Peg-IFN-α treatment and HBsAg clearance.
Methods: In this prospective study, HBeAg-negative chronic HBV patients treated with Peg-IFN-α were followed for 48 weeks.
Curr Biol
March 2025
School of Biological Sciences, University of Nebraska, Lincoln, NE 68588, USA. Electronic address:
Animals rely on the reception of accurate information for survival and reproduction. Environmental noise, especially from human activity, challenges information acquisition by disturbing sensory channels and masking relevant cues. Investigations into how animals cope with noise have been heavily biased toward plasticity in information production, often overlooking flexibility in information reception.
View Article and Find Full Text PDFSci Rep
March 2025
Zhongyuan Oilfield Exploration and Development Research Institute, Sinopec, Puyang, 457001, China.
In the operation and management of Underground Gas Storage (UGS), the accurate and efficient calculation of bottom hole pressure is crucial for the dynamic analysis and production optimization of gas wells. To enhance the operational and maintenance efficiency of UGS, this paper innovatively proposes a new method for calculating bottom hole pressure. The study begins by comprehensively analyzing the key factors affecting bottom hole pressure calculation during gas injection, withdrawal, and shut-in stages based on the wellbore flow theory.
View Article and Find Full Text PDFPhys Rev Lett
February 2025
Vanderbilt University, Department of Physics and Astronomy, Nashville, Tennessee, USA.
The first-ever measurement of energy correlators within inclusive jets produced in heavy-ion collisions, revealed by the CMS Collaboration, shows a clear enhancement at large angles relative to the proton-proton (p-p) baseline. However, interpreting this enhancement is complicated due to selection bias from energy loss, which also distorts the energy correlator heavy-ion to p-p ratio in the hadronization region, hindering our understanding of parton/hadron dynamics in a colored medium. In this Letter, we introduce a new ratio of energy correlator observables that removes the leading effects of selection bias from the two-point energy correlator spectrum (E2C).
View Article and Find Full Text PDFScand J Caring Sci
March 2025
School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.
Aim: This scoping review aims to describe the literature about the experiences of family caregivers and persons living with dementia transitioning into residential care facilities; and to identify missed opportunities for occupational therapy to support this transition.
Methods: The methodological framework proposed by Arksey and O'Malley guided the review. Six electronic databases were systematically searched for peer-reviewed studies published between Jan 2017 and June 2024 including people with dementia aged 65+ years prior to, during and post-admission to a residential care facility and/or family caregiver.
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