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Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

, , , , , , and . Advances in Neural Information Processing Systems, 30, Curran Associates, Inc., (2017)

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Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic., , , , , and . CoRR, (2022)Large Language Models of Code Fail at Completing Code with Potential Bugs., , , , , , and . CoRR, (2023)GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing., , , , , , , , , and 6 other author(s). J. Mach. Learn. Res., (2020)GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing., , , , , , , , , and 5 other author(s). CoRR, (2019)Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model., , , , , , and . NIPS, page 5617-5627. (2017)Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning., , , , , and . NAACL-HLT, page 2542-2550. Association for Computational Linguistics, (2022)CrowdRisk: exploring crowdsourcing of risk information., , , , and . OZCHI, page 165-169. ACM, (2016)HYTREL: Hypergraph-enhanced Tabular Data Representation Learning., , , , , , and . CoRR, (2023)Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks., and . CoRR, (2023)Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion., , , , and . AAAI, page 5230-5238. AAAI Press, (2023)