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DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency.

, , , , , , , and . ISLPED, page 1-6. IEEE, (2021)

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Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks., , , , , , , , and . ICLR, OpenReview.net, (2020)LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference., , , , , and . CoRR, (2022)HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark., , , , , , , , and . CoRR, (2021)GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , and . HPCA, page 460-474. IEEE, (2022)Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference., , , , , , , and . CVPR, page 14431-14442. IEEE, (2023)ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , , , , , and . HPCA, page 273-286. IEEE, (2023)Drawing early-bird tickets: Towards more efficient training of deep networks., , , , , , , , and . CoRR, (2019)GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , and . CoRR, (2021)G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency., , , , , and . ICCAD, page 1-9. IEEE, (2021)I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization., , , , , , , , and . MICRO, page 1051-1063. ACM, (2021)