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Found 4 papers, 1 papers with code
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
To strike a balance in this trade-off, we propose Elapsed-Time Sampling Delayed Feedback Model (ES-DFM), which models the relationship between the observed conversion distribution and the true conversion distribution.
Active Generative Adversarial Network for Image Classification
Sufficient supervised information is crucial for any machine learning models to boost performance.
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning
Most studies in zero-shot learning model the relationship, in the form of a classifier or mapping, between features from images of seen classes and their attributes.
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning
Solving composites tasks, which consist of several inherent sub-tasks, remains a challenge in the research area of dialogue.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
