research
∙
08/15/2023
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System
With the continuous increase of users and items, conventional recommende...
share
research
∙
08/08/2023
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling
Current learning-based edge caching schemes usually suffer from dynamic ...
research
∙
06/23/2023
Mutually Guided Few-shot Learning for Relational Triple Extraction
Knowledge graphs (KGs), containing many entity-relation-entity triples, ...
research
∙
04/03/2023
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
The popularity of Contrastive Language-Image Pre-training (CLIP) has pro...
research
∙
03/21/2023
Dynamically Expandable Graph Convolution for Streaming Recommendation
Personalized recommender systems have been widely studied and deployed t...
research
∙
02/07/2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
research
∙
11/21/2022
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning
Contrastive Language-Image Pre-training (CLIP) has shown promising open-...
research
∙
02/24/2022
