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09/07/2023
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation
Latent factor models are the dominant backbones of contemporary recommen...
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08/25/2023
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation
As some recent information security legislation endowed users with uncon...
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06/18/2023
Personalized Elastic Embedding Learning for On-Device Recommendation
To address privacy concerns and reduce network latency, there has been a...
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09/06/2022
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Contrastive learning (CL) has recently been demonstrated critical in imp...
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12/16/2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning
Deep neural network based image compression has been extensively studied...
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04/02/2021
