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Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification., , , , , , , , , and 10 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 80-96. PMLR, (2021)Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search., , , , , and . CoRR, (2023)Auxiliary Learning with Joint Task and Data Scheduling., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3634-3647. PMLR, (2022)Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox., , , , , , , , , and . CoRR, (2024)Memory Network for Linguistic Structure Parsing., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models., , , , , , and . CoRR, (2023)Large-Scale Graph Neural Architecture Search., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7968-7981. PMLR, (2022)AutoGT: Automated Graph Transformer Architecture Search., , , , , and . ICLR, OpenReview.net, (2023)Curriculum-NAS: Curriculum Weight-Sharing Neural Architecture Search., , , , , and . ACM Multimedia, page 6792-6801. ACM, (2022)MetaDelta: A Meta-Learning System for Few-shot Image Classification., , , , and . MetaDL@AAAI, volume 140 of Proceedings of Machine Learning Research, page 17-28. PMLR, (2021)