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Parametric Information Maximization for Generalized Category Discovery., , , , and . ICCV, page 1729-1739. IEEE, (2023)MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning., , , , , and . CoRR, (2023)Counter-examples generation from a positive unlabeled image dataset., , , , and . Pattern Recognit., (2020)Mutual Information-based Generalized Category Discovery., , , , and . CoRR, (2022)Bag of Tricks for Fully Test-Time Adaptation., , , , and . WACV, page 1925-1934. IEEE, (2024)Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions., , , and . CoRR, (2022)Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods., , , and . IEEE Signal Process. Mag., 38 (1): 31-41 (2021)Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification., , , , and . CoRR, (2019)Classification d'images en apprenant sur des échantillons positifs et non labélisés avec un réseau antagoniste génératif(Image classification by learning on positive and unlabeled samples with a generative adversarial network)., , , and . CNIA+RJCIA, volume 2133 of CEUR Workshop Proceedings, page 35-42. CEUR-WS.org, (2018)MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning., , , , , and . WACV, page 1751-1761. IEEE, (2024)