„Multi-task learning“

Suchergebnisse

614 Treffer

• Universal Representations: A Unified Look at Multiple Task and Domain Learning
  Li, Wei-Hong ; Liu, Xialei ; Bilen, Hakan
• A novel multi-task learning technique for offline handwritten short answer spotting and recognition
  Das, Abhijit ; Suwanwiwat, Hemmaphan ; Pal, Umapada
• Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework
  Zhao, Haochen ; Ni, Peng ; Zhao, Qichang ; Liang, Xiao ; Ai, Di ; Erhardt, Shannon ; Wang, Jun ; Li, Yaohang ; Wang, Jianxin
• YuYin: a multi-task learning model of multi-modal e-commerce background music recommendation
  Ma, Le ; Wu, Xinda ; Tang, Ruiyuan ; Zhong, Chongjun ; Zhang, Kejun
• Heterogeneous multi-task Gaussian Cox processes
  Zhou, Feng ; Kong, Quyu ; Deng, Zhijie ; He, Fengxiang ; Cui, Peng ; Zhu, Jun
• Serial structure multi-task learning method for predicting reservoir parameters
  Xu, Bin-Sen ; Li, Ning ; Xiao, Li-Zhi ; Wu, Hong-Liang ; Feng-Zhou ; Wang, Bing ; Wang, Ke-Wen
• MAGMA: inference and prediction using multi-task Gaussian processes with common mean
  Leroy, Arthur ; Latouche, Pierre ; Guedj, Benjamin ; Gey, Servane
• A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis
  Zhou, Zichun ; Wang, Min ; Zhao, Rubin ; Shao, Yan ; Xing, Ligang ; Qiu, Qingtao ; Yin, Yong
• Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment
  Mangalampalli, Sudheer ; Karri, Ganesh Reddy ; Mohanty, Sachi Nandan ; Ali, Shahid ; Khan, M. Ijaz ; Abduvalieva, Dilsora ; Awwad, Fuad A. ; Ismail, Emad A. A.
• Multi objective dynamic task scheduling optimization algorithm based on deep reinforcement learning
  Cheng, Yuqing ; Cao, Zhiying ; Zhang, Xiuguo ; Cao, Qilei ; Zhang, Dezhen
• Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma
  Gu, Bingxin ; Meng, Mingyuan ; Xu, Mingzhen ; Feng, David Dagan ; Bi, Lei ; Kim, Jinman ; Song, Shaoli
• A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas
  Li, Yin ; Zheng, Kaiyi ; Li, Shuang ; Yi, Yongju ; Li, Min ; Ren, Yufan ; Guo, Congyue ; Zhong, Liming ; Yang, Wei ; Li, Xinming ; Yao, Lin
• Legal judgment prediction via optimized multi-task learning fusing similarity correlation
  Guo, Xiaoding ; Zao, Feifei ; Shen, Zhuo ; Zhang, Lei
• Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
  Tan, Yik Yang ; Chow, Chee Onn ; Kanesan, Jeevan ; Chuah, Joon Huang ; Lim, YongLiang
• Multi-view dual-channel graph convolutional networks with multi-task learning
  Ling, Yuting ; Li, Yuan ; Liu, Xiyu ; Qu, Jianhua
• A novel multi-task learning method for evaluating short-term voltage stability with incomplete PMU measurements
  Luo, Tonglin ; Jiang, Xuchu
• Reinforcement learning-based multi-objective energy-efficient task scheduling in fog-cloud industrial IoT-based systems
  Vijayalakshmi, V. ; Saravanan, M.
• Integrating fine-grained attention into multi-task learning for knowledge tracing
  He, Liangliang ; Li, Xiao ; Wang, Pancheng ; Tang, Jintao ; Wang, Ting
• DEEP LEARNING BASED MULTI TASK ROAD EXTRACTOR MODEL FOR PARCEL EXTRACTION AND CROP CLASSIFICATION USING KNOWLEDGE BASED NDVI TIME SERIES DATA
  Dali, A. ; Jain, K. ; Khare, S. ; Kushwaha, S. K. P.
• Deep learning with a multi-task convolutional neural network to generate a national-scale 3D soil data product: Particle size distribution of the German agricultural soil-landscape
  Ließ, Mareike ; Sakhaee, Ali