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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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11/11/2022
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Advances in deep neural network (DNN) architectures have enabled new pre...
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09/27/2022
Efficient On-Device Session-Based Recommendation
On-device session-based recommendation systems have been achieving incre...
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09/06/2022
