Loading

当前标签：Model Compression

【FSNet】2020-ICLR-FSNet Compression of Deep Convolutional Neural Networks by Filter Summary-论文阅读

ChenBong 2020-09-30 22:42 阅读:622 评论:0 推荐:0

【Shape Adaptor】2020-ECCV-Shape Adaptor: A Learnable Resizing Module-论文阅读

ChenBong 2020-09-22 19:08 阅读:307 评论:0 推荐:0

【EagleEye】2020-ECCV-EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning-论文阅读

ChenBong 2020-09-16 16:25 阅读:1054 评论:0 推荐:0

【DMC】2020-CVPR-Discrete Model Compression with Resource Constraint for Deep Neural Networks-论文阅读

ChenBong 2020-09-08 00:32 阅读:519 评论:0 推荐:0

【DropNet】2020-ICML-DropNet Reducing Neural Network Complexity via Iterative Pruning-论文阅读

ChenBong 2020-08-31 18:12 阅读:518 评论:0 推荐:0

【Layerwise Channel Selection】2020-AAAI-Dynamic Network Pruning with Interpretable Layerwise Channel Selection-论文阅读

ChenBong 2020-08-10 20:39 阅读:632 评论:1 推荐:0

【Joint Search-and-Training】2020-IJCAI-Beyond Network Pruning a Joint Search-and-Training Approach-论文阅读

ChenBong 2020-08-05 17:45 阅读:319 评论:0 推荐:0

【RANet】2020-CVPR-Resolution Adaptive Networks for Efficient Inference-论文阅读

ChenBong 2020-07-15 16:07 阅读:760 评论:2 推荐:0

【DMCP】2020-CVPR-DMCP Differentiable Markov Channel Pruning for Neural Networks-论文阅读

ChenBong 2020-06-22 16:45 阅读:826 评论:0 推荐:0

【Partial Order Pruning】2019-CVPR-Partial Order Pruning for Best Speed Accuracy Trade-off in Neural Architecture Search-论文阅读

ChenBong 2020-06-08 16:46 阅读:694 评论:0 推荐:0

【MetaPruning】2019-ICCV-MetaPruning Meta Learning for Automatic Neural Network Channel Pruning-论文阅读

ChenBong 2020-05-26 21:33 阅读:752 评论:0 推荐:0