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Relaxed leverage sampling for low-rank matrix completion.. Inf. Process. Lett., (2017)A Note on Randomized Element-wise Matrix Sparsification., and . CoRR, (2014)A Randomized Rounding Algorithm for Sparse PCA., , , and . ACM Trans. Knowl. Discov. Data, 11 (3): 38:1-38:26 (2017)Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads., , , , , , , , , and 4 other author(s). CoRR, (2021)K-TanH: Hardware Efficient Activations For Deep Learning., , , , , , , , and . CoRR, (2019)Ternary Residual Networks., , , , , , and . CoRR, (2017)A Study of BFLOAT16 for Deep Learning Training., , , , , , , , , and 9 other author(s). CoRR, (2019)Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads., , , , , , , , , and 7 other author(s). SC, page 14. ACM, (2021)Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point., , , , and . CoRR, (2017)Recovering PCA from Hybrid-(ℓ1, ℓ2) Sparse Sampling of Data Elements., , and . CoRR, (2015)