To address this, our study presents a Personalized Adaptive Multi-Product Recommendation System (PAMR) leveraging transfer learning and Bi-GRU (Bidirectional Gated Recurrent Units). Using a large dataset of user
To address this problem, we propose to learn personalized classifier weights αij w.r.t different instances Eq. (2b). Obviously, personalized weights promise a feasible solution for ensemble predictions that are consistent with real labels. For instances A, B and C, we can assign a large weig...
Clustered Federated Learning (CFL) leverages the differences among data distributions on clients to partition all clients into several clusters for personalized federated training. Compared with the conventional federated algorithms such as FedAvg, existing methods for CFL require either more communication cos...
This study introduces ACE-YOLOX, a lightweight facial recognition model tailored for captive macaques. ACE-YOLOX incorporates Efficient Channel Attention (ECA), Complete Intersection over Union loss (CIoU), and Adaptive Spatial Feature Fusion (ASFF) into the YOLOX framework, enhancing prediction ...
have been developed to utilize the representations of drugs and cancer cell lines for predicting cancer drug responses (CDR), their performances can be improved by addressing issues such as insufficient data modality, suboptimal fusion algorithms, and poor generalizability for novel drugs or cell lines...
proposed framework introduces a novel hybrid model, IChOA-CNN-LSTM, which leverages Convolutional Neural Networks (CNNs) for precise image feature extraction, Long Short-Term Memory (LSTM) networks for sequential data analysis, and an Improved Chimp Optimization Algorithm for effective feature fusion....
DPPA: Pruning Method for Large Language Model to Model Merging 2024 Arxiv LLaMa 2 Model breadcrumbs: Scaling multi-task model merging with sparse masks 2023 Arxiv Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion 2023 Arxiv Effective and ParameterEfficient Reusing...
This section provides a comprehensive introduction to the cross-attention interaction learning network for multi-model image fusion via the transformer. The overall workflow of CrossATF is first presented, and then the core components of the model are analyzed in detail. Finally, the color coding pr...
AI-driven education and provide a more personalized interactive learning experience. Furthermore, Youdao's self-developed RAG engine "QAnything" based on Ziyue education large model and its AI open platform "Youdao AI" have fully adopted DeepSeek's inference capabilities for a comprehensive upgrade....
In DapperFL, we introduce a dedicated Model Fusion Pruning (MFP) module to produce personalized compact local models for clients to address the system heterogeneity challenges. The MFP module prunes local models with fused knowledge obtained from both local and remaining domains, ensuring robustness ...