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Advances-in-Partial-and-Complementary-Label-Learning
Advances-in-Partial-and-Complementary-Label-Learning PublicA curated list of most recent papers & codes in Learning with Partial/Complementary Labels
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LMNL-Solution
LMNL-Solution PublicThis is the implementation of our solution (Learning with Real-world Noisy Labels: A Consistency Training Solution) for the first learning and mining with noisy labels challenge in IJCAI-ECAI 2022.
Python
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URRL
URRL PublicThis is the implementation of our arxiv paper (Robust Representation Learning for Unreliable Partial Label Learning).
Python
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