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통찰 - Multimodal Learning in Conversation Emotion Recognition
ITEACNet: Inverted Teacher-student Search Conversation Network
The author proposes ITEACNet, a framework for incomplete multimodal learning in Conversation Emotion Recognition (CER), addressing context changes and incomplete data. The approach involves an Inverted Teacher-Student training framework and Neural Architecture Search to enhance student model performance.
ITEACNet: Inverted Teacher-studEnt seArch Conversation Network
提案されたITEACNetフレームワークは、不完全なマルチモーダル学習において感情コンテキストの変化を捉え、教師生徒トレーニングフレームワークを導入し、優れたロバスト性を実証しています。
