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09/21/2023
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
In open-world semi-supervised learning, a machine learning model is task...
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09/18/2023
Parameter-Efficient Long-Tailed Recognition
The "pre-training and fine-tuning" paradigm in addressing long-tailed re...
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08/19/2023
Scene-Aware Feature Matching
Current feature matching methods focus on point-level matching, pursuing...
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03/02/2023
Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain
Matrix factorization in dual number algebra, a hypercomplex system, has ...
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10/08/2022
A Survey on Extreme Multi-label Learning
Multi-label learning has attracted significant attention from both acade...
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07/05/2022
Multi-IRS-Aided Doppler-Tolerant Wideband DFRC System
Intelligence reflecting surface (IRS) is recognized as the enabler of fu...
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05/26/2022
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Long-Tailed Semi-Supervised Learning (LTSSL) aims to learn from class-im...
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10/22/2021
Prototypical Classifier for Robust Class-Imbalanced Learning
Deep neural networks have been shown to be very powerful methods for man...
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08/26/2021
Robust Long-Tailed Learning under Label Noise
Long-tailed learning has attracted much attention recently, with the goa...
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08/25/2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
The existence of noisy data is prevalent in both the training and testin...
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04/20/2020