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SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection., , , , , , , , , and . CoRR, (2024)cuSCNN : an Efficient CUDA Implementation of Sparse CNNs., , , , and . HEART, page 107-113. ACM, (2023)GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values., , , , , , , , , and . CoRR, (2023)TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training., , , , , , and . MICRO, page 781-795. IEEE, (2020)TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference., , , , , , and . CoRR, (2020)FPRaker: A Processing Element For Accelerating Neural Network Training., , , , , , , and . MICRO, page 857-869. ACM, (2021)GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference., , , and . MICRO, page 811-824. IEEE, (2020)FPRaker: A Processing Element For Accelerating Neural Network Training., , , , , , , and . CoRR, (2020)Security Implications of Intentional Capacitive Crosstalk., , , and . IEEE Trans. Inf. Forensics Secur., 14 (12): 3246-3258 (2019)SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling., , , , , , , , , and 1 other author(s). CoRR, (2023)