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SA-RSQ achieves a remarkable balance between compact storage and high-quality representation, leading to significant performance boosts in real-world recommender systems.
Uncertainty-Enhanced Collaborative Perception outperforms existing methods by effectively decoupling perception quality from detection noise, leading to more reliable autonomous driving systems.
Shuffling activations, a popular defense in secure Transformer inference, crumbles under a new alignment attack that recovers model weights for just $1.