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09/14/2023
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems
Federated Learning (FL) has emerged as a key approach for distributed ma...
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08/14/2023
MM-GEF: Multi-modal representation meet collaborative filtering
In modern e-commerce, item content features in various modalities offer ...
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02/24/2023
STA: Self-controlled Text Augmentation for Improving Text Classifications
Despite recent advancements in Machine Learning, many tasks still involv...
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02/12/2023
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
Multi-domain recommender systems benefit from cross-domain representatio...
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01/06/2023
Topics as Entity Clusters: Entity-based Topics from Language Models and Graph Neural Networks
Topic models aim to reveal the latent structure behind a corpus, typical...
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12/22/2022
Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base
Early detection of relevant locations in a piece of news is especially i...
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10/07/2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
The proliferation of DeepFake technology is a rising challenge in today'...
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08/30/2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
In Federated Learning (FL) of click-through rate (CTR) prediction, users...
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08/22/2013