One-shot learning – the human ability to learn a new concept from just one or a few examples – poses a challenge to tradi- tional learning algorithms, although approaches based on Hi- erarchical Bayesian models and compositional representations have been making headway.
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Mascolo, Michael F. Using 'basic level categories' to retrieve multimedia from the world-wide-web.
This paper investigates how chil- dren and adults readily learn the spoken form of new words from one example – recognizing arbitrary instances of a novel ...
One-shot learning of generative speech concepts. Under review. Genearting new examples. The links below provides examples (from humans and machines) of one ...
This paper investigates how children and adults readily learn the spoken form of new words from one example - recognizing arbitrary instances of a novel ...
(2013) developed a probabilistic model that combines a deep Boltzmann ma- chine with a hierarchical Dirichlet process to learn hierar- chies of concept ...
Missing: speech | Show results with:speech
2015. One-shot learning of generative speech concepts. BM Lake, C Lee, JR Glass, JB Tenenbaum. Proceedings of the 36th Annual Meeting of the Cognitive Science ...
oneshot-audio. license. Experiment with "one-shot learning" techniques to recognize a voice signature. ... One-shot learning of generative speech concepts. 2014.
Mar 22, 2024 · One-shot learning, a subfield of machine learning, addresses the challenge of learning new concepts or tasks from minimal training data.
Missing: speech | Show results with:speech
Dec 10, 2023 · This approach is particularly prevalent in language models such as GPT (Generative Pre-trained Transformer), where the ability to understand ...