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Deep Meta-Learning: Learning to Learn in the Concept Space., , and . CoRR, (2018)AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling., , , , and . ECCV (5), volume 12350 of Lecture Notes in Computer Science, page 560-575. Springer, (2020)SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection., , , , and . CoRR, (2019)Effective and Parameter-Efficient Reusing Fine-Tuned Models., , , , , and . CoRR, (2023)On the Expressive Power of a Variant of the Looped Transformer., , , , , , , , and . CoRR, (2024)Unsupervised Pretraining for Object Detection by Patch Reidentification., , , , , , and . CoRR, (2021)Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models., , , , , and . CoRR, (2023)Batch Group Normalization., , , , , , , , and . CoRR, (2020)VEGA: Towards an End-to-End Configurable AutoML Pipeline., , , , , , , , , and 14 other author(s). CoRR, (2020)DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture., , , , , , and . Trans. Mach. Learn. Res., (2022)