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University of North Carolina at Charlotte
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DnA achieves a notable 0.8% improvement on ImageNet-1K by effectively filtering out irrelevant features in attention mechanisms.
REGEN enables robots to continually learn and rehearse tasks without the need for storing human demonstrations, cutting catastrophic forgetting by 50%.
UNIEGO's innovative use of Proxy models allows it to outperform traditional multi-teacher distillation methods, achieving state-of-the-art results in egocentric video tasks.
TimeProVe achieves a remarkable 7.3% performance boost on long video reasoning tasks while slashing inference costs by 93%.
