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Found 7 papers, 2 papers with code
A Randomized Link Transformer for Diverse Open-Domain Dialogue Generation
A major issue in open-domain dialogue generation is the agent’s tendency to generate repetitive and generic responses.
Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents
Empirical results show that our framework significantly improves the contextual coherence of the generated response.
DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
The generation of personalized dialogue is vital to natural and human-like conversation.
Generating Personalized Dialogue via Multi-Task Meta-Learning
To address these practical limitations, we propose a novel multi-task meta-learning approach which involves training a model to adapt to new personas without relying on a large corpus, or on any predefined persona information.
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning
The S{\o}rensen--Dice Coefficient has recently seen rising popularity as a loss function (also known as Dice loss) due to its robustness in tasks where the number of negative samples significantly exceeds that of positive samples, such as semantic segmentation, natural language processing, and sound event detection.
What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
Sound event localization and detection (SELD) is an emerging research topic that aims to unify the tasks of sound event detection and direction-of-arrival estimation.
DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
Sound event localization and detection consists of two subtasks which are sound event detection and direction-of-arrival estimation.
