A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

37 / 787 papers shown

Title
Triangle-Net: Towards Robustness in Point Cloud Learning Chenxi Xiao J. Wachs 3DH 3DPC 31 34 0 27 Feb 2020
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network Pengxin Guo Chang Deng Linjie Xu Xiaonan Huang Yu Zhang 18 8 0 12 Feb 2020
Deep Multi-Task Learning via Generalized Tensor Trace Norm Yi Zhang Yu Zhang Wei Wang 6 8 0 12 Feb 2020
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning Sicong Liang Yu Zhang 25 11 0 12 Feb 2020
Neuro-evolutionary Frameworks for Generalized Learning Agents Thommen George Karimpanal 9 1 0 04 Feb 2020
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning Xi Liu Li Li Ping-Chun Hsieh Muhe Xie Yong Ge Rui Chen OffRL 29 3 0 27 Jan 2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 57 2,575 0 11 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 76 6,091 0 10 Dec 2019
End-to-end facial and physiological model for Affective Computing and applications Joaquim Comas Decky Aspandi Xavier Binefa 6 22 0 10 Dec 2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features Tao Gui Lizhi Qing Qi Zhang Jiacheng Ye Hang Yan Zichu Fei Xuanjing Huang 15 2 0 18 Nov 2019
Multi-modal Deep Analysis for Multimedia Wenwu Zhu Xin Wang Hongzhi Li 29 38 0 11 Oct 2019
Transfer Learning with Dynamic Distribution Adaptation Jindong Wang Yiqiang Chen Wenjie Feng Han Yu Meiyu Huang Qiang Yang OOD 26 238 0 17 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 35 751 0 27 Aug 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 970 0 23 Jul 2019
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography M. Eslami Solale Tabarestani Shadi Albarqouni Ehsan Adeli Nassir Navab M. Adjouadi MedIm 19 77 0 24 Jun 2019
The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas Michael P. J. Camilleri Christopher K. I. Williams 15 2 0 04 Jun 2019
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting Xu Geng Xiyu Wu Lingyu Zhang Qiang Yang Yan Liu Jieping Ye AI4TS 14 31 0 27 May 2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation Xuhua Ren Lichi Zhang Sahar Ahmad Dong Nie Fan Yang L. Xiang Qian Wang Dinggang Shen 19 26 0 21 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 26 503 0 18 May 2019
A Distributed Method for Fitting Laplacian Regularized Stratified Models Jonathan Tuck Shane T. Barratt Stephen P. Boyd 24 24 0 26 Apr 2019
An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-talker Single Channel Audio-Visual ASR Luca Pasa Giovanni Morrone Leonardo Badino 11 2 0 16 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 39 1,793 0 10 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 27 48 0 31 Mar 2019
Towards automatic construction of multi-network models for heterogeneous multi-task learning Unai Garciarena A. Mendiburu Roberto Santana 26 3 0 21 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong Learning Gan Sun Yang Cong Qianqian Wang Bineng Zhong Y. Fu CLL 18 54 0 06 Mar 2019
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications Songtao Lu Ioannis C. Tsaknakis Mingyi Hong Yongxin Chen 26 169 0 21 Feb 2019
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs Valentina Zantedeschi A. Bellet Marc Tommasi FedML 21 76 0 24 Jan 2019
Location-Centered House Price Prediction: A Multi-Task Learning Approach Guangliang Gao Z. Bao Jie Cao •. A. K. Qin Timos Sellis Zhiang Wu 25 40 0 07 Jan 2019
Multi-task Prediction of Patient Workload Mohammad Hessam Olya D. Zhu Kai Yang 11 3 0 27 Dec 2018
DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning Duo Zhang G. Lindholm H. Ratnaweera AI4CE 14 5 0 09 Nov 2018
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression Dongrui Wu Jian Huang 20 19 0 08 Aug 2018
Efficacy of regularized multi-task learning based on SVM models Shaohan Chen Zhou Fang Sijie Lu Chuanhou Gao 11 9 0 31 May 2018
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care B. Liu Ying Li S. Ghosh Zhaonan Sun Kenney Ng Jianying Hu 15 20 0 19 Feb 2018
On Multiplicative Multitask Feature Learning Xin Wang J. Bi Shipeng Yu Jiangwen Sun 35 51 0 24 Oct 2016
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 525 0 27 Jun 2012
Union Support Recovery in Multi-task Learning Mladen Kolar John D. Lafferty Larry A. Wasserman 91 60 0 31 Aug 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 185 292 0 09 Mar 2009