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Effective Model Compression via Stage-wise Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951
作者:  Ming-Yang Zhang;  Xin-Yi Yu;  Lin-Lin Ou
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：9/3  |  提交时间：2024/04/23
Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)  
MVContrast: Unsupervised Pretraining for Multi-view 3D Object Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 872-883
作者:  Luequan Wang;  Hongbin Xu;  Wenxiong Kang
Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/04/23
Multi view, unsupervised pretraining, contrastive learning, 3D vision, shape recognition  
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：17/5  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 583-594
作者:  Xinyao Xu;  De Xu;  Fangbo Qin
Adobe PDF(1348Kb)  |  收藏  |  浏览/下载：11/3  |  提交时间：2024/04/23
Data augmentation, feature clustering, class-rebalance strategy, few-shot learning, fault diagnosis  
Region-adaptive Concept Aggregation for Few-shot Visual Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 554-568
作者:  Mengya Han;  Yibing Zhan;  Baosheng Yu;  Yong Luo;  Han Hu;  Bo Du;  Yonggang Wen;  Dacheng Tao
Adobe PDF(4324Kb)  |  收藏  |  浏览/下载：13/4  |  提交时间：2024/04/23
Few-shot learning, metric-based meta learning, concept learning, region-adaptive, concept-aggregation  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：11/5  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
Transformer: A General Framework from Machine Translation to Others 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 514-538
作者:  Yang Zhao;  Jiajun Zhang;  Chengqing Zong
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：15/5  |  提交时间：2024/04/23
Neural machine translation, Transformer, document neural machine translation (NMT), multimodal NMT, low-resource NMT  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：16/5  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：18/3  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Masked Vision-language Transformer in Fashion 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 421-434
作者:  Ge-Peng Ji;  Mingchen Zhuge;  Dehong Gao;  Deng-Ping Fan;  Christos Sakaridis;  Luc Van Gool
Adobe PDF(2779Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/04/23
Vision-language, masked image reconstruction, transformer, fashion, e-commercial