A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

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Title
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning Lijun Zhang Xiao Liu Hui Guan 25 21 0 25 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 31 4 0 21 Oct 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Patrick Hemmer Niklas Kühl Jakob Schöffer 21 4 0 18 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 68 75 0 15 Oct 2021
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction Qinfeng Xiao Shikuan Shao Jing Wang AI4TS 22 7 0 15 Oct 2021
Transformer-based Multi-task Learning for Disaster Tweet Categorisation Congcong Wang P. Nulty David Lillis 34 15 0 15 Oct 2021
Semi-supervised Multi-task Learning for Semantics and Depth Yufeng Wang Yi-Hsuan Tsai Wei-Chih Hung Wenrui Ding Shuo Liu Ming-Hsuan Yang 36 18 0 14 Oct 2021
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments Qinjin Jia Jiali Cui Yunkai Xiao Chengyuan Liu Parvez Rashid E. Gehringer 40 43 0 08 Oct 2021
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning Ren Wang Zhe Xu Alfred Hero 32 0 0 06 Oct 2021
Fast Line Search for Multi-Task Learning A. Filatov D. Merkulov 27 0 0 02 Oct 2021
DeepAnalyze: Learning to Localize Crashes at Scale Manish Shetty Chetan Bansal Suman Nath Sean Bowles Henry Wang Ozgur Arman Siamak Ahari HAI 37 4 0 29 Sep 2021
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures Li Li Hirokazu Kameoka S. Makino DRL 35 8 0 28 Sep 2021
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language Flor Miriam Plaza del Arco S. Halat Sebastian Padó Roman Klinger 44 34 0 21 Sep 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 34 14 0 20 Sep 2021
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation Gabriel Loewinger Rolando Acosta Nunez Rahul Mazumder Giovanni Parmigiani 30 0 0 19 Sep 2021
Multi-Task Learning in Natural Language Processing: An Overview Shijie Chen Yu Zhang Qiang Yang AIMat 46 99 0 19 Sep 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning M. Crawshaw Jana Kosecka 29 7 0 16 Sep 2021
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT Mingyuan Meng B. Gu Lei Bi Shaoli Song Dagan Feng Jinman Kim MedIm 32 38 0 16 Sep 2021
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery Paul Michel Ameet Talwalkar Graham Neubig CLL 36 35 0 15 Sep 2021
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission Shinhyeok Oh Sion Jang Hu Xu Shounan An Insoo Oh 19 11 0 14 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 224 239 1 10 Sep 2021
Identification of Social-Media Platform of Videos through the Use of Shared Features Luca Maiano Irene Amerini L. R. Celsi Aris Anagnostopoulos 36 12 0 08 Sep 2021
A Survey of Sound Source Localization with Deep Learning Methods Pierre-Amaury Grumiaux Srdjan Kitić Laurent Girin Alexandre Guérin 38 246 0 08 Sep 2021
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning Shaoxiong Ji Pekka Marttinen 32 5 0 07 Sep 2021
Multitask Balanced and Recalibrated Network for Medical Code Prediction Wei Sun Shaoxiong Ji Min Zhang Pekka Marttinen 33 15 0 06 Sep 2021
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering Zizheng Lin Hao Ke N. Wong Jiaxin Bai Yangqiu Song Huan Zhao Junpeng Ye 32 11 0 04 Sep 2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 32 19 0 30 Aug 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification Firoj Alam Tanvirul Alam Md. Arid Hasan A. Hasnat Muhammad Imran Ferda Ofli VLM 30 51 0 29 Aug 2021
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling M. R. Bayanlou M. Khoshboresh-Masouleh 11 6 0 25 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across Visual Domains Antono DÍnnocente OOD 33 0 0 20 Aug 2021
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction Conor O'Brien Kin Sum Liu James Neufeld Rafael Barreto Jonathan J. Hunt 24 14 0 18 Aug 2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning T. H. Le David Hin Roland Croft Muhammad Ali Babar 30 51 0 18 Aug 2021
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction Mingcheng Chen Zhenghui Wang Zhiyun Zhao Weinan Zhang Xiawei Guo ... Weiwei Tu Yong Yu Y. Bi Weiqing Wang G. Ning 14 8 0 16 Aug 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models Runzhe Wan Linjuan Ge Rui Song 38 28 0 13 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 66 11 0 10 Aug 2021
Deep multi-task mining Calabi-Yau four-folds Harold Erbin Riccardo Finotello Robin Schneider M. Tamaazousti 37 17 0 04 Aug 2021
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making Debabrata Mahapatra Vaibhav Rajan 33 2 0 02 Aug 2021
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms Zhe Huang Gary Long B. Wessler M. C. Hughes 27 24 0 30 Jul 2021
Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection Lin Zhang Xin Wang Erica Cooper Junichi Yamagishi 17 28 0 29 Jul 2021
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework A. Elwood Alberto Gasparin A. Rozza 17 4 0 29 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes Xin-Chun Li Le Gan De-Chuan Zhan Yunfeng Shao Bingshuai Li Shaoming Song OOD 30 9 0 26 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 17 1 0 23 Jul 2021
A Survey on Data-driven Software Vulnerability Assessment and Prioritization T. H. Le Huaming Chen Muhammad Ali Babar 29 79 0 18 Jul 2021
Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen Yuntao Du Yi Zhang Shuwei Qian Chong-Jun Wang 29 28 0 10 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
Deep Learning for Micro-expression Recognition: A Survey Yante Li Jinsheng Wei Yang Liu Janne Kauttonen Guoying Zhao 43 61 0 06 Jul 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation Chen Chen Kerstin Hammernik Cheng Ouyang C. Qin Wenjia Bai Daniel Rueckert OOD 17 20 0 02 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 32 21 0 02 Jul 2021
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events Tzu-Yuan Lin Ray Zhang Justin Yu Maani Ghaffari 37 35 0 29 Jun 2021
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning Yihuang Kang Y. Chiu Ming-Yen Lin F. Su Sheng-Tai Huang 38 2 0 28 Jun 2021