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Found 12 papers, 7 papers with code
Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
To address this, we present BunCa, a novel bundle recommendation approach employing item-level causation-enhanced multi-view learning.
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
Emotion recognition in conversation (ERC) is a crucial task in natural language processing and affective computing.
Emotion Recognition in Conversation
Multimodal Emotion Recognition
Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings
On the Expohedron, we profile the Pareto curve which captures the trade-off between group fairness and user utility by identifying a finite number of Pareto optimal solutions.
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Emotion recognition is a crucial task for human conversation understanding.
Ranked #1 on
Multimodal Emotion Recognition
on IEMOCAP
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
Multimodal representation learning poses significant challenges in capturing informative and distinct features from multiple modalities.
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
This paper reports on the ReINTEL Shared Task for Responsible Information Identification on social network sites, which is hosted at the seventh annual workshop on Vietnamese Language and Speech Processing (VLSP 2020).
Multimodal Review Generation with Privacy and Fairness Awareness
Users express their opinions towards entities (e. g., restaurants) via online reviews which can be in diverse forms such as text, ratings, and images.
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
With the rapid growth of Internet media, content tagging has become an important topic with many multimedia understanding applications, including efficient organisation and search.
Privacy-Preserving Visual Content Tagging using Graph Transformer Networks
With the rapid growth of Internet media, content tagging has become an important topic with many multimedia understanding applications, including efficient organisation and search.
Reinforced Data Sampling for Model Diversification
With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms.
Correlation-Sensitive Next-Basket Recommendation
Items adopted by a user over time are indicative of the underlying preferences.
