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Benchmarking Multimodal AutoML for Tabular Data with Text Fields.

, , , , and . NeurIPS Datasets and Benchmarks, (2021)

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AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data., , , , , , and . CoRR, (2020)ActiveLab: Active Learning with Re-Labeling by Multiple Annotators., and . CoRR, (2023)Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles., , , and . AAAI, page 4264-4271. AAAI Press, (2020)Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features., , , , , , and . ICLR, OpenReview.net, (2022)ResNeSt: Split-Attention Networks., , , , , , , , , and 2 other author(s). CoRR, (2020)Detecting Errors in Numerical Data via any Regression Model., , , , and . CoRR, (2023)Back to the Basics: Revisiting Out-of-Distribution Detection Baselines., and . CoRR, (2022)Siamese Recurrent Architectures for Learning Sentence Similarity., and . AAAI, page 2786-2792. AAAI Press, (2016)IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation., , , , and . EMNLP/IJCNLP (1), page 3095-3107. Association for Computational Linguistics, (2019)Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing., , , , , and . SustaiNLP@EMNLP, page 119-133. Association for Computational Linguistics, (2021)