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03/11/2023
AutoMLP: Automated MLP for Sequential Recommendations
Sequential recommender systems aim to predict users' next interested ite...
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02/17/2023
Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition
Skeleton-based action recognition relies on the extraction of spatial-te...
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05/31/2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Skeleton-based action recognition methods are limited by the semantic ex...
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04/26/2022
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Recent years have witnessed the great accuracy performance of graph-base...
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04/25/2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
Self-attention models have achieved state-of-the-art performance in sequ...
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10/18/2021
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System
Reinforcement learning based recommender systems (RL-based RS) aims at l...
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04/29/2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Recent applications pose requirements of both cross-domain knowledge tra...
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04/12/2021
Personalized Bundle Recommendation in Online Games
In business domains, bundling is one of the most important marketing str...
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10/26/2020
Activation Map Adaptation for Effective Knowledge Distillation
Model compression becomes a recent trend due to the requirement of deplo...
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03/21/2019