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Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning.

, , , , and . AAAI, page 4957-4964. AAAI Press, (2020)

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Recent Advances in Open Set Recognition: A Survey., , and . CoRR, (2018)Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 11 (5): 891-902 (2014)Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting., , , , , , and . CoRR, (2022)Visual-guided attentive attributes embedding for zero-shot learning., , , , and . Neural Networks, (2021)Active Learning for Open-set Annotation., , , and . CVPR, page 41-49. IEEE, (2022)Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning., , , , and . AAAI, page 4957-4964. AAAI Press, (2020)Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery., , , , , and . ICCV, page 12923-12933. IEEE, (2023)Fast Multi-Instance Multi-Label Learning., , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (11): 2614-2627 (2019)MUS-CDB: Mixed Uncertainty Sampling With Class Distribution Balancing for Active Annotation in Aerial Object Detection., , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Cross-Task and Cross-Model Active Learning with Meta Features., , and . ICBDS, volume 1415 of Communications in Computer and Information Science, page 585-598. Springer, (2020)