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LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking.

, , , and . ITSC, page 265-272. IEEE, (2019)

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Neural forecasting: Introduction and literature overview., , , , , , , , , and 2 other author(s). CoRR, (2020)Graph-Relational Domain Adaptation., , , , and . ICLR, OpenReview.net, (2022)LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking., , , and . ITSC, page 265-272. IEEE, (2019)PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design., , , , , and . CoRR, (2024)AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting., , , , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 9/1-21. PMLR, (2023)Transferring Knowledge From Large Foundation Models to Small Downstream Models., , , , , and . ICML, OpenReview.net, (2024)Deep Explicit Duration Switching Models for Time Series., , , , , , , and . NeurIPS, page 29949-29961. (2021)Discovering Bias in Latent Space: An Unsupervised Debiasing Approach., , , and . ICML, OpenReview.net, (2024)Probabilistic Forecasting: A Level-Set Approach., , , and . NeurIPS, page 6404-6416. (2021)Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs., , , , , , and . ICML, OpenReview.net, (2024)