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Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU.

, , , , , , , , , , , , and . IPDPS, page 156-166. IEEE, (2023)

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Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization., , , , , , and . CoRR, (2020)RobustART: Benchmarking Robustness on Architecture Design and Training Techniques., , , , , , , , , and 2 other author(s). CoRR, (2021)Differentiable Dynamic Wirings for Neural Networks., , , , , , and . ICCV, page 317-326. IEEE, (2021)Forward and Backward Information Retention for Accurate Binary Neural Networks., , , , , , and . CVPR, page 2247-2256. Computer Vision Foundation / IEEE, (2020)Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks., , , , , , , and . ICCV, page 4851-4860. IEEE, (2019)Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm., , , , , , , and . CoRR, (2021)SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency., , , , , , , , , and 1 other author(s). CoRR, (2023)Diversifying Sample Generation for Accurate Data-Free Quantization., , , , , , , , and . CVPR, page 15658-15667. Computer Vision Foundation / IEEE, (2021)NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database., , , , and . ICPP, page 78:1-78:14. ACM, (2022)BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction., , , , , , , , and . ICLR, OpenReview.net, (2021)