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Multi-Round Meta-Learning for Label Purification Without Trusted Labels.

IEEE Transactions on Pattern Analysis and Machine Intelligence
Label noise remains a fundamental challenge in supervised deep learning, particularly as modern neural networks rely on large-scale datasets that frequently suffer from annotation errors due to cost and scalability constraints. While prior approaches address this issue through collaborative training on fully noisy data or meta-learning with access to a
Shirui Pan
exaly   +3 more sources

‘I Remember Their Labels Round Their Necks’ Britain and the Kindertransport

2020
There is a public perception that there is something quintessentially British about the story of the Kindertransport.
exaly   +2 more sources

Afamitresgene Autoleucel for Advanced Synovial Sarcoma and Myxoid Round Cell Liposarcoma (SPEARHEAD-1): An International, Open-Label, Phase 2 Trial

Lancet, The
Afamitresgene autoleucel (afami-cel) showed acceptable safety and promising efficacy in a phase 1 trial (NCT03132922). The aim of this study was to further evaluate the efficacy of afami-cel for the treatment of patients with HLA-A*02 and MAGE-A4-expressing advanced synovial sarcoma or myxoid round cell liposarcoma.SPEARHEAD-1 was an open-label, non ...
Elliot Norry   +2 more
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Target Round Bar Detection and Two-Stage Calibration for Automatic Label Attachment System

2023 5th International Conference on Control and Robotics (ICCR), 2023
Minsung Kang
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Noticing Health Warning Labels and Intentions to Quit Smokeless Tobacco Products: Results From Two Global Adult Tobacco Survey Rounds, India

Global Health Promotion
Introduction: Health warning labels (HWLs) are one of the key strategies for tobacco control. The current study assessed the individual characteristics affecting the noticeability of HWLs and the thought of quitting smokeless tobacco (SLT) on noticing HWLs.
Kirtan Rana, Madhur Verma
exaly   +3 more sources

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