Geometric view of soft decorrelation in self-supervised learning
Contrastive learning, a form of Self-Supervised Learning (SSL), typically consists of an
alignment term and a regularization term. The alignment term minimizes the distance …
alignment term and a regularization term. The alignment term minimizes the distance …
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Continual learning (CL) aims to empower machine learning models to learn continually from
new data, while building upon previously acquired knowledge without forgetting. As …
new data, while building upon previously acquired knowledge without forgetting. As …
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing
Searching on bipartite graphs serves as a fundamental task for various real-world
applications, such as recommendation systems, database retrieval, and document querying …
applications, such as recommendation systems, database retrieval, and document querying …
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction
Recent studies highlight the potential of large language models (LLMs) to enhance content
integration in recommender systems by leveraging their semantic understanding …
integration in recommender systems by leveraging their semantic understanding …
Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy
Job-market mobility prediction plays a crucial role in optimizing human capital usage for
both employees and employers. Most conventional methods primarily focus on learning …
both employees and employers. Most conventional methods primarily focus on learning …
Shopping trajectory representation learning with pre-training for e-commerce customer understanding and recommendation
Understanding customer behavior is crucial for improving service quality in large-scale E-
commerce. This paper proposes C-STAR, a new framework that learns compact …
commerce. This paper proposes C-STAR, a new framework that learns compact …