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Correction with Backtracking Reduces Hallucination in Summarization., , , , , and . CoRR, (2023)Pre-Training LiDAR-Based 3D Object Detectors Through Colorization., , , , , , , , , and . CoRR, (2023)End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection., , , , , , , , and . CVPR, page 5880-5889. Computer Vision Foundation / IEEE, (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)Co-Training for Domain Adaptation., , and . NIPS, page 2456-2464. (2011)A New Defense Against Adversarial Images: Turning a Weakness into a Strength., , , , and . NeurIPS, page 1633-1644. (2019)Towards Deeper Deep Reinforcement Learning with Spectral Normalization., , and . NeurIPS, page 8242-8255. (2021)Large Margin Multi-Task Metric Learning., and . NIPS, page 1867-1875. Curran Associates, Inc., (2010)On Calibration of Modern Neural Networks, , , and . roceedings of the 34th International Conference on Machine Learning, 70, page 1321-1330. PMLR, (2017)Learning with Marginalized Corrupted Features., , , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 410-418. JMLR.org, (2013)