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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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10/08/2022
A Survey on Extreme Multi-label Learning
Multi-label learning has attracted significant attention from both acade...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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08/09/2022
LAMDA-SSL: Semi-Supervised Learning in Python
LAMDA-SSL is open-sourced on GitHub and its detailed usage documentation...
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02/12/2022
Robust Deep Semi-Supervised Learning: A Brief Introduction
Semi-supervised learning (SSL) is the branch of machine learning that ai...
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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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01/19/2020
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement
Weakly supervised learning aims at coping with scarce labeled data. Prev...
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04/22/2019
