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[논문 리뷰] Representation Learning via Invariant Causal Mechanisms

논문 링크: Representation Learning via Invariant Causal MechanismsSelf-supervised learning has emerged as a strategy to reduce the reliance on costly supervised signal by pretraining representations only using unlabeled data. These methods combine heuristic proxy classification tasks with data augmentations and have achiarxiv.org 출처: J. Mitrovic, B. McWilliams, J. Walker, L. Buesing, and C. Blundel..

Artificial Intelligence 2026.02.10
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semantic communication, energy efficiency, spectral efficiency, Semantic communications, contextual reasoning, ML, AI-native, beyond 6G, 6g, Ai, massive MIMO systems, semantic learning, orthogonal frequency division multiplexing (OFDM), pilotcontamination, Federated Learning, Intelligent wireless networks, Large Language Model, Joint source-channel coding, time-division duplexing (TDD), Channel estimation,

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