1.1.4 Pruning In Early Training 1.2 Dynamic Pruning 2. Learning and Pruning 2.1 Continual learning 2.2 Contrastive learning 2.3 Federated learning 3. Application 3.1 Computer Vision 3.2 Natural Language Processing 3.3 Audio Signal Processing 4. Combination 4.1 pruning and quantization 5. Survey of...
The world we live in is three dimensional so there are a large number of potential applications including 3D object recogniti... B Graham - 《Computer Science》 被引量: 400发表: 2015年 Pruning Filters for Efficient ConvNets Convolutional Neural Networks (CNNs) are extensively used in image ...
In this work we improve one-shot pruning methods, applied before training, without adding ... P Wimmer,J Mehnert,A Condurache - Computer Vision – ACCV 2020 被引量: 0发表: 2021年 SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning Foresight pruning is an effective ...
Our work provides the first step toward defenses against backdoor attacks in deep neural networks. 展开 关键词: Computer Science - Cryptography and Security DOI: 10.1007/978-3-030-00470-5_13 被引量: 8 年份: 2018 收藏 引用 批量引用 报错 分享 ...
In this paper, we introduce a new channel pruning method to accelerate very deep convolutional neural networks.Given a trained CNN model, we propose an iterative two-step algorithm to effectively prune each layer, by a LASSO regression based channel selection and least square reconstruction. We fur...
"However, our research shows that this network pruning can impair the ability of deep learning models to identify some groups," says Jung-Eun Kim, co-author of a paper on the work and an assistant professor of computer science at North Carolina State University. "For example, if a security...
In our results, we show that even simple filter pruning techniques can reduce inference costs for VGG-16 by up to 34% and ResNet-110 by up to 38% while regaining close to the original accuracy by retraining the networks. 展开 关键词: Computer Science - Computer Vision and Pattern ...
Computer ScienceS. Srinivas and R. V. Babu, "Data-free parameter pruning for Deep Neural Networks," in BMVC, 2015.S. Srinivas and R. V. Babu. Data-free parameter pruning for deep neural networks. CoRR, abs/1507.06149, 2015. 1, 5...
Spatial Cognition is one of the hot fields of current research in cognitive science. Scientific disciplines like computer science, cognitive psychology, geography, linguistics, or philosophy cooperate in investigating how agents (i.e. hu... T Barkowsky 被引量: 54发表: 2002年 Numerical Simulation ...
N Dershowitz,Z Hanna,E Nadel - 《Of Lecture Notes in Computer Science》 被引量: 23发表: 2007年 Diameter–basal area ratio as a practical stand density measure for pruned plantations pruningFarm forestryPinus radiataThe ratio of mean tree diameter to stand basal area (D:BA) is a simple and...