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Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
Recently, deep end-to-end learning has been studied for intent classification in Spoken Language Understanding (SLU).
Do not think pink elephant!
Large Models (LMs) have heightened expectations for the potential of general AI as they are akin to human intelligence.
Coreset Selection for Object Detection
Coreset selection is a method for selecting a small, representative subset of an entire dataset.
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