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Found 3 papers, 2 papers with code
Speak While You Think: Streaming Speech Synthesis During Text Generation
Experimental results show that LLM2Speech maintains the teacher's quality while reducing the latency to enable natural conversations.
Active Learning Through a Covering Lens
Deep active learning aims to reduce the annotation cost for the training of deep models, which is notoriously data-hungry.
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Investigating active learning, we focus on the relation between the number of labeled examples (budget size), and suitable querying strategies.
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Active Learning
on CIFAR10 (10,000)
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