BabyCL learns word-referent mappings from egocentric video in a single chronological pass via streaming visual learning, dual replay, and three contrastive losses, outperforming streaming baselines on the SAYCam 4AFC benchmark.
arXiv preprint arXiv:2404.19132 , year=
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Few-shot evaluation and a per-shot plasticity metric show that meta-learning short sequences of future tasks in continual image classification induces learning-to-learn behavior.
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Continual Visual and Verbal Learning Through a Child's Egocentric Input
BabyCL learns word-referent mappings from egocentric video in a single chronological pass via streaming visual learning, dual replay, and three contrastive losses, outperforming streaming baselines on the SAYCam 4AFC benchmark.
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Re-Evaluating Continual Learning with Few-Shot Adaptation
Few-shot evaluation and a per-shot plasticity metric show that meta-learning short sequences of future tasks in continual image classification induces learning-to-learn behavior.