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Unsupervised Learning of Image Manifolds by Semidefinite Programming., and . CVPR (2), page 988-995. IEEE Computer Society, (2004)Pre-Training LiDAR-Based 3D Object Detectors Through Colorization., , , , , , , , , and . CoRR, (2023)On Calibration of Modern Neural Networks, , , and . roceedings of the 34th International Conference on Machine Learning, 70, page 1321-1330. PMLR, (2017)Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data., , , and . ICMLA, page 388-395. IEEE Computer Society, (2008)Correction with Backtracking Reduces Hallucination in Summarization., , , , , and . CoRR, (2023)Revisiting Meta-Learning as Supervised Learning., , , , and . CoRR, (2020)Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving., , , , , and . CVPR, page 8445-8453. Computer Vision Foundation / IEEE, (2019)End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection., , , , , , , , and . CVPR, page 5880-5889. Computer Vision Foundation / IEEE, (2020)Is High Variance Unavoidable in RL? A Case Study in Continuous Control., , and . ICLR, OpenReview.net, (2022)Large Margin Multi-Task Metric Learning., and . NIPS, page 1867-1875. Curran Associates, Inc., (2010)