Výsledky vyhledávání - Clustered Multi-Task Learning

Quality prediction for multi-grade batch process using sparse flexible clustered multi-task learning Autor Yamaguchi, Takafumi, Yamashita, Yoshiyuki

“… These methods combine the features of two techniques: the first is a flexible clustered multi-task learning method, which utilizes data from other grades effectively…”
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Flexible Clustered Multi-Task Learning by Learning Representative Tasks Autor Zhou, Qiang, Zhao, Qi

“… Among various MTL methods, clustered multi-task learning (CMTL) assumes that all tasks can be clustered into groups and attempts to learn the underlying cluster structure from the training data…”
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Adaptive dual graph regularization for clustered multi-task learning Autor Liu, Cheng, Li, Rui, Chen, Sentao, Zheng, Lin, Jiang, Dazhi

“… Toward this aim, we propose a clustered multi-task learning approach that collaboratively learns the cluster structure for both task and feature level effects…”
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Clustered Multi-Task Learning for Automatic Radar Target Recognition Autor Li, Cong, Bao, Weimin, Xu, Luping, Zhang, Hua

“… In this paper, we propose a clustered multi-task learning, which can reveal and share the multi-task relationships for radar target recognition…”
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HEp-2 cells Classification via clustered multi-task learning Autor Liu, Anan, Lu, Yao, Nie, Weizhi, Su, Yuting, Yang, Zhaoxuan

“…This paper proposes a clustered multi-task learning-based method for automated HEp-2 cells Classification…”
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Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach Autor Ai, Yuhan, Chen, Qimei, Zhu, Guangxu, Wen, Dingzhu, Jiang, Hao, Zeng, Jun, Li, Ming

“…Federated multi-task learning (FMTL) is a promising technology to tackle one of the most severe non-independent and identically distributed (non-IID…”
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A Two-stage Clustered Multi-Task Learning method for operational optimization in Chemical Mechanical Polishing Autor Duan, Yunqiang, Liu, Min, Dong, Mingyu, Wu, Cheng

“… In this paper, a Two-stage Clustered Multi-Task Learning method is proposed for the above modelling problem with small sample size, in which the proposed Probability-based Task Clustering algorithm…”
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Clustered Federated Multi-Task Learning with Non-IID Data Autor Xiao, Yao, Shu, Jiangang, Jia, Xiaohua, Huang, Hejiao

“… To achieve the communication-efficiency and high accuracy with non-IID data, we propose a clustered federated multi-task learning by exploring client clustering and multi-task learning…”
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Clustered Federated Multi-Task Learning on Non-IID Data with Enhanced Privacy Autor Shu, Jiangang, Yang, Tingting, Liao, Xinying, Chen, Farong, Xiao, Yao, Yang, Kan, Jia, Xiaohua

“… To eliminate the limitation of full-participation, we explore multi-task learning associated with model clustering, and first propose a clustered federated multi-task learning to achieve the multual…”
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Clustered Multi-Task Sequence-to-Sequence Learning for Autonomous Vehicle Repositioning Autor Lee, Sangmin, Lim, Dae-Eun, Kang, Younkook, Kim, Hae Joong

“…Clustered multi-task learning, which aims to leverage the generalization performance over clustered tasks, has shown an outstanding performance in various machine learning applications…”
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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints Autor Sattler, Felix, Muller, Klaus-Robert, Samek, Wojciech

“… To address this issue, we present clustered FL (CFL), a novel federated multitask learning (FMTL…”
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Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection Autor Sarkar, Rituparna, Mukherjee, Suvadip, Labruyere, Elisabeth, Olivo-Marin, Jean-Christophe

“… In this regard, we introduce a novel supervised technique for cell segmentation in a multitask learning paradigm…”
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CMA-BP: A Clustered Multi-Task Learning and Branch Attention Based Branch Predictor Autor Li, Ming, Xu, Rucong, Zhang, Hexu, Li, Lin, Li, Yun

“…) branches per benchmark in SPEC 2017 by current neural network methods. To improve, this paper proposed a Clustered Multi-task Learning and Branch Attention Mechanism-Based Branch Predictor (CMA-BP…”
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GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning Autor Chen, Weixuan, Rudovic, Ognjen Oggi, Picard, Rosalind W.

“… Existing GIF datasets with emotion labels are too small for training contemporary machine learning models, so we propose a semi-automatic method to collect emotional animated GIFs from the Internet…”
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Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition Autor Liu, An-An, Su, Yu-Ting, Nie, Wei-Zhi, Kankanhalli, Mohan

“…This paper proposes a hierarchical clustering multi-task learning (HC-MTL) method for joint human action grouping and recognition…”
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Clustered Federated Multitask Learning on Non-IID Data With Enhanced Privacy Autor Shu, Jiangang, Yang, Tingting, Liao, Xinying, Chen, Farong, Xiao, Yao, Yang, Kan, Jia, Xiaohua

“… To eliminate the limitation of full-participation, we explore multitask learning associated with model clustering, and first propose a clustered FMTL to achieve the multual-task learning on non-IID…”
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Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning Autor Albaseer, Abdullatif Mohammed, Abdallah, Mohamed, Al-Fuqaha, Ala, Seid, Abegaz Mohammed, Erbad, Aiman, Dobre, Octavia A.

“…Clustered federated Multitask learning is introduced as an efficient technique when data is unbalanced and distributed amongst clients in a non-independent and identically distributed manner…”
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Bi-label Propagation for Generic Multiple Object Tracking Autor Wenhan Luo, Tae-kyun Kim, Stenger, Bjorn, Xiaowei Zhao, Cipolla, Roberto

“… To propagate the class label, we adopt clustered Multiple Task Learning (cMTL) while enforcing spatio-temporal consistency and show that this improves the performance when given limited training data…”
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User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning Autor Wang, Menghan, Zheng, Xiaolin, Zhang, Kun

“… We first cluster users based on the recommendation predictions, then we use multi-task learning to learn the user-sensitive ensemble function for the users…”
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Distributed Clustering for Cooperative Multi-Task Learning Networks Autor Li, Jiani, Wang, Weihan, Abbas, Waseem, Koutsoukos, Xenofon

“… This paper focuses on clustered multi-task learning, where agents are partitioned into clusters with distinct objectives, and agents in the same cluster share the same objective…”
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