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Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.

, , , , and . WWW, page 2181-2191. ACM, (2019)

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Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction., , , , and . WWW, page 2181-2191. ACM, (2019)A simple baseline for travel time estimation using large-scale trip data., , , and . SIGSPATIAL/GIS, page 61:1-61:4. ACM, (2016)Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation., , , and . SIGKDD Explor., 22 (2): 12-18 (2020)Learning to Simulate on Sparse Trajectory Data., , , , and . ECML/PKDD (4), volume 12460 of Lecture Notes in Computer Science, page 530-545. Springer, (2020)Graph Few-Shot Learning via Knowledge Transfer., , , , , , , and . AAAI, page 6656-6663. AAAI Press, (2020)MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation., , , , , , , and . CaPTion@MICCAI, volume 14295 of Lecture Notes in Computer Science, page 94-104. Springer, (2023)Online Structured Meta-learning., , , , , and . NeurIPS, (2020)Knowledge-based Residual Learning., , , , , , and . IJCAI, page 1653-1659. ijcai.org, (2021)Objective-aware Traffic Simulation via Inverse Reinforcement Learning., , , and . IJCAI, page 3771-3777. ijcai.org, (2021)Boosting Offline Reinforcement Learning with Residual Generative Modeling., , , , , , , and . IJCAI, page 3574-3580. ijcai.org, (2021)