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Weight-Dependent Gates for Network Pruning.

, , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (10): 6941-6954 (2022)

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Weight-Dependent Gates for Network Pruning., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (10): 6941-6954 (2022)Stereo Neural Vernier Caliper., , , and . AAAI, page 1376-1385. AAAI Press, (2022)Conditional Link Prediction of Category-Implicit Keypoint Detection., , , and . WACV, page 3439-3448. IEEE, (2021)MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning., , , , , , and . ICCV, page 3295-3304. IEEE, (2019)Rethinking Image Mixture for Unsupervised Visual Representation Learning., , , , and . CoRR, (2020)Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization., , , , , and . NeurIPS, page 7531-7542. (2019)Sliced Recursive Transformer., , and . ECCV (24), volume 13684 of Lecture Notes in Computer Science, page 727-744. Springer, (2022)RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization., , , and . CoRR, (2024)Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification., , , and . ICASSP, page 3642-3646. IEEE, (2020)Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation., , , , and . CVPR, page 4932-4942. IEEE, (2022)