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Found 7 papers, 0 papers with code
Decentralized Motor Skill Learning for Complex Robotic Systems
Experiments on quadruped and humanoid robots demonstrate that the learned policy is robust against local motor malfunctions and can be transferred to new tasks.
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Another line of work relies on costly uniform data that is inadequate to train industrial models.
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which handles more candidates with strict latency requirements.
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
In this paper, we consider the case where the target task is mismatched from but similar with that of the expert.
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
It can be attributed to the calibration ability of the pointwise loss since the prediction can be viewed as the click probability.
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions
However, the shallow models leveraging bilinear forms suffer from limitations on capturing complicated nonlinear interactions between drug pairs.
Motif-based Rule Discovery for Predicting Real-valued Time Series
Time series prediction is of great significance in many applications and has attracted extensive attention from the data mining community.
