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SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations., , , , , and . AAAI, page 7413-7421. AAAI Press, (2021)SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations., , , , , and . CoRR, (2020)On the Reliability of Watermarks for Large Language Models., , , , , , , , , and . CoRR, (2023)OpenTab: Advancing Large Language Models as Open-domain Table Reasoners., , , , , , , and . CoRR, (2024)Exploring linear projections for revealing clusters, outliers, and trends in subsets of multi-dimensional datasets., , , , , , and . J. Vis. Lang. Comput., (2018)GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training., , , , , and . NeurIPS, page 16410-16422. (2021)Data Augmentation for Meta-Learning., , , , and . CoRR, (2020)FLAG: Adversarial Data Augmentation for Graph Neural Networks., , , , , , , and . CoRR, (2020)Robust Optimization as Data Augmentation for Large-scale Graphs., , , , , , , and . CVPR, page 60-69. IEEE, (2022)VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization., , , , , , and . NeurIPS, page 6733-6746. (2021)