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09/11/2023
Examining the Effect of Pre-training on Time Series Classification
Although the pre-training followed by fine-tuning paradigm is used exten...
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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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02/14/2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Real-world cooperation often requires intensive coordination among agent...
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12/17/2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
Determining causal effects of temporal multi-intervention assists decisi...
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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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03/01/2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Density-based and classification-based methods have ruled unsupervised a...
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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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07/13/2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
Instrumental variables (IVs), sources of treatment randomization that ar...
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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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04/07/2021