The article presents a novel approach in class-incremental learning named SEED. It addresses the issue of models forgetting previously acquired knowledge by selecting the most optimal expert for a task…
Continue readingThe article introduces Structured Probabilistic Coding (SPC), a novel supervised representation learning framework that extracts compact and informative representations from input related to a target task. The SPC uses an…
Continue readingThe paper presents ReFlow-TTS, a new method for text-to-speech (TTS) synthesis offering high-fidelity speech synthesis. Unlike traditional models that require numerous sampling steps, ReFlow-TTS simplifies the process using an Ordinary…
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