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Memory-Efficient Implementation of DenseNets, , , , , и . (2017)cite arxiv:1707.06990Comment: Technical report.Rethinking the Value of Network Pruning., , , , и . CoRR, (2018)Gradient boosted feature selection., , , и . KDD, стр. 522-531. ACM, (2014)Large scale air pollution prediction with deep convolutional networks., , , , , , , и . Sci. China Inf. Sci., (2021)ExpeL: LLM Agents Are Experiential Learners., , , , , и . AAAI, стр. 19632-19642. AAAI Press, (2024)Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning., , , , , , , , и . CVPR, стр. 11494-11503. IEEE, (2023)On the Integration of Self-Attention and Convolution., , , , , , и . CVPR, стр. 805-815. IEEE, (2022)CondenseNet: An Efficient DenseNet Using Learned Group Convolutions., , , и . CVPR, стр. 2752-2761. Computer Vision Foundation / IEEE Computer Society, (2018)Searching Parameterized AP Loss for Object Detection., , , , , и . NeurIPS, стр. 22021-22033. (2021)Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition., , , , и . NeurIPS, стр. 11960-11973. (2021)