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Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems., , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 38 (9): 1611-1624 (2019)THInImg: Cross-modal Steganography for Presenting Talking Heads in Images., , , и . CoRR, (2023)BoolNet: Minimizing The Energy Consumption of Binary Neural Networks., , , , , , и . CoRR, (2021)MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression., , , , , , , , , и 3 other автор(ы). CoRR, (2024)FTT-NAS: Discovering Fault-Tolerant Neural Architecture., , , , , и . ASP-DAC, стр. 211-216. IEEE, (2020)aw_nas: A Modularized and Extensible NAS framework., , , , , , , , , и . CoRR, (2020)CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance., , , , , и . CVPR, стр. 1425-1434. IEEE, (2022)DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation., , , , , и . ECCV (3), том 12348 из Lecture Notes in Computer Science, стр. 592-607. Springer, (2020)Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems., , , , и . DAC, стр. 33:1-33:6. ACM, (2017)Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better., , , , , , , , , и . CoRR, (2024)