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Published in 2018 at "Machine Learning"
DOI: 10.1007/s10994-018-5716-2
Abstract: The aggregation of k-ary preferences is a novel ranking problem that plays an important role in several aspects of daily life, such as ordinal peer grading, online image-rating, meta-search and online product recommendation. Meanwhile, crowdsourcing…
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Keywords:
aggregation;
learning noisy;
ary preferences;
stagewise learning ... See more keywords
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Published in 2024 at "Proceedings of the Royal Society B: Biological Sciences"
DOI: 10.1098/rspb.2024.1606
Abstract: Organisms can learn in response to environmental inputs as well as actively modify their environments through niche construction on slower evolutionary time scales. How quickly should an organism respond to a changing environment, and when…
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Keywords:
stability optimal;
noisy ecological;
niche construction;
constructing stability ... See more keywords
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Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3230403
Abstract: This letter presents a data detection method for multiple-input multiple-output systems with one-bit analog-to-digital converters. The basic idea is to learn the likelihood function of the system from training samples. To this end, a training…
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Keywords:
noisy labels;
one bit;
data detection;
learning noisy ... See more keywords
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Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3426482
Abstract: The rise of the metaverse and the increasing volume of heterogeneous 2D and 3D data have created a growing demand for cross-modal retrieval, enabling users to query semantically relevant data across different modalities. Existing methods…
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Keywords:
noisy pseudo;
cross modal;
pseudo;
learning noisy ... See more keywords
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Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3134156
Abstract: Manually labeling fine-grained datasetsis laborious and typically requires domain-specific expert knowledge. Conversely, a vast amount of web data is relatively easy to obtain with nearly no human effort. Therefore, learning from noisy web data for…
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Keywords:
web images;
noisy web;
learning noisy;
web ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14031208
Abstract: This paper addresses the performance degradation of deep neural networks caused by learning with noisy labels. Recent research on this topic has exploited the memorization effect: networks fit data with clean labels during the early…
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Keywords:
curriculum regularization;
supervised learning;
semi supervised;
learning noisy ... See more keywords