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DAC: Data-Free Automatic Acceleration of Convolutional Networks.

, , , , , и . WACV, стр. 1598-1606. IEEE, (2019)

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Qi Qi

Qi Li

Fei Qi

Qi Xu

Qi Wang

 

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Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks., , , , и . AI4I, стр. 89-90. IEEE, (2019)Training Ternary Neural Networks with Exact Proximal Operator., , , и . CoRR, (2016)The use of fuzzy membership in network training for isolated word recognition., , и . ICNN, стр. 1823-1828. IEEE, (1993)Trained Rank Pruning for Efficient Deep Neural Networks., , , , , , , , , и . EMC2@NeurIPS, стр. 14-17. IEEE, (2019)DAC: Data-Free Automatic Acceleration of Convolutional Networks., , , , , и . WACV, стр. 1598-1606. IEEE, (2019)Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle., , , и . ISVC (2), том 13018 из Lecture Notes in Computer Science, стр. 325-336. Springer, (2021)Iterative Deep Neural Network Quantization With Lipschitz Constraint., , , , и . IEEE Trans. Multim., 22 (7): 1874-1888 (2020)Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method., , , , и . AI4I, стр. 97-98. IEEE, (2019)Improving Network Slimming With Nonconvex Regularization., , , , и . IEEE Access, (2021)Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets., , , , , и . CoRR, (2019)