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Learns representations from unlabeled data by leveraging intrinsic data properties. Reduces dependency on labeled data and improves scalability.
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![]() Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks Leonid Pogorelyuk Niels Bracher Aaron Verkleeren Lars Kühmichel Stefan T. Radev | |||
![]() Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone Tristan Amadei Enric Meinhardt-Llopis Benedicte Bascle Corentin Abgrall Gabriele Facciolo | |||
![]() Revisiting Theory of Contrastive Learning for Domain Generalization Ali Alvandi Mina Rezaei | |||
![]() Know Thyself by Knowing Others: Learning Neuron Identity from Population Context Vinam Arora Divyansha Lachi Ian J. Knight Mehdi Azabou Blake Richards Cole L. Hurwitz Josh Siegle Eva L. Dyer | |||
![]() Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation LearningIEEE Signal Processing Letters (IEEE SPL), 2025 | |||
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