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Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks., , , , , , , , и . ICLR, OpenReview.net, (2020)Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference., , , , , , , и . CVPR, стр. 14431-14442. IEEE, (2023)GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , и . HPCA, стр. 460-474. IEEE, (2022)ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , , , , , и . HPCA, стр. 273-286. IEEE, (2023)When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models., , , , и . CoRR, (2024)G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency., , , , , и . ICCAD, стр. 1-9. IEEE, (2021)DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency., , , , , , , и . ISLPED, стр. 1-6. IEEE, (2021)FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training., , , , , , , и . NeurIPS, (2020)I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization., , , , , , , , и . MICRO, стр. 1051-1063. ACM, (2021)HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark., , , , , , , , , и . ICLR, OpenReview.net, (2021)