A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

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Title
Understanding and Exploiting Dependent Variables with Deep Metric Learning Niall O' Mahony S. Campbell A. Carvalho L. Krpalkova G. Velasco-Hernández Daniel Riordan Joseph Walsh 19 1 0 08 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 19 47 0 06 Sep 2020
Compression-aware Continual Learning using Singular Value Decomposition Varigonda Pavan Teja Priyadarshini Panda CLL 21 0 0 03 Sep 2020
A Short Review on Data Modelling for Vector Fields Jun Yu Li Wanrong Hong Yusheng Xiang 16 0 0 01 Sep 2020
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games Mikhail Jacob Sam Devlin Katja Hofmann LLMAG AI4CE 24 16 0 01 Sep 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 14 202 0 24 Aug 2020
Table2Charts: Recommending Charts by Learning Shared Table Representations Mengyu Zhou Qingtao Li Xinyi He Yuejiang Li Yibo Liu Wei Ji Shi Han Yining Chen Daxin Jiang Dongmei Zhang LMTD 59 34 0 24 Aug 2020
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS Rui Liu Berrak Sisman F. Bao Guanglai Gao Haizhou Li 14 17 0 11 Aug 2020
Ontology-driven weak supervision for clinical entity classification in electronic health records Jason Alan Fries E. Steinberg S. Khattar Scott L. Fleming J. Posada A. Callahan N. Shah 21 72 0 05 Aug 2020
Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling Dhruv Verma Kshitij Gulati R. Shah 33 11 0 04 Aug 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 23 68 0 03 Aug 2020
Joint Object Contour Points and Semantics for Instance Segmentation Wenchao Zhang Chong Fu Mai Zhu 3DPC ISeg 25 5 0 02 Aug 2020
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews Cristina Zuheros Eugenio Martínez-Cámara E. Herrera-Viedma Francisco Herrera 6 1 0 31 Jul 2020
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks Tomokaze Shiratori Ken Kobayashi Yuichi Takano AI4TS 19 11 0 30 Jul 2020
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis Pradyumna Gupta Himanshu Gupta Aman Sinha 11 8 0 28 Jul 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 46 4 0 27 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 26 60 0 22 Jul 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 22 15 0 20 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 24 228 0 18 Jul 2020
When and how CNNs generalize to out-of-distribution category-viewpoint combinations Spandan Madan Timothy M. Henry Jamell Dozier Helen Ho Nishchal Bhandari Tomotake Sasaki F. Durand Hanspeter Pfister Xavier Boix OOD 41 24 0 15 Jul 2020
Follow the bisector: a simple method for multi-objective optimization A. Katrutsa D. Merkulov Nurislam Tursynbek Ivan Oseledets 12 9 0 14 Jul 2020
Temporally Correlated Task Scheduling for Sequence Learning Xueqing Wu Lewen Wang Yingce Xia Weiqing Liu Lijun Wu Shufang Xie Tao Qin Tie-Yan Liu 22 10 0 10 Jul 2020
Multi-Task Variational Information Bottleneck Weizhu Qian Bowei Chen Yichao Zhang Guanghui Wen Franck Gechter 29 11 0 01 Jul 2020
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction Mélanie Bernhardt V. Vishnevskiy R. Rau O. Goksel OOD 22 23 0 25 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 33 59 0 22 Jun 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives Zaiwei Zhang Bo Sun Haitao Yang Qi-Xing Huang 3DPC 20 195 0 10 Jun 2020
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments Prabath Abeysekara Hai Dong •. A. K. Qin 8 5 0 07 Jun 2020
Robust Learning Through Cross-Task Consistency Amir Zamir Alexander Sax Teresa Yeo Oğuzhan Fatih Kar Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas J. Guibas OOD 14 154 0 07 Jun 2020
Incorporating Image Gradients as Secondary Input Associated with Input Image to Improve the Performance of the CNN Model V. Pandey Shashi Bhushan Jha 12 2 0 05 Jun 2020
Joint Modelling of Emotion and Abusive Language Detection S. Rajamanickam Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 12 56 0 28 May 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining Yifan Peng Qingyu Chen Zhiyong Lu 8 112 0 06 May 2020
Partly Supervised Multitask Learning A. Imran Chao Huang Hui Tang Wei Fan Yuan Xiao Dingjun Hao Zhen Qian D. Terzopoulos 21 12 0 05 May 2020
Multi-task pre-training of deep neural networks for digital pathology Romain Mormont Pierre Geurts R. Marée 8 50 0 05 May 2020
Improving Aspect-Level Sentiment Analysis with Aspect Extraction Navonil Majumder Rishabh Bhardwaj Soujanya Poria Amir Zadeh Alexander Gelbukh Amir Hussain Louis-Philippe Morency 16 30 0 03 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
Low Resource Multi-Task Sequence Tagging -- Revisiting Dynamic Conditional Random Fields Jonas Pfeiffer Edwin Simpson Iryna Gurevych 19 5 0 01 May 2020
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems Jens Schreiber Bernhard Sick AI4TS 25 12 0 29 Apr 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke Marc Proesmans Dengxin Dai Luc Van Gool CVBM 29 72 0 28 Apr 2020
Heterogeneous Representation Learning: A Review Qiufeng Wang Xi Peng Yew-Soon Ong 11 0 0 28 Apr 2020
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification Sangrok Lee Eunsoo Park Hongsuk Yi Sang Hun Lee 29 33 0 25 Apr 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data Christopher Briggs Zhong Fan Péter András FedML 34 557 0 24 Apr 2020
MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning Andriy Mulyar Bridget T. McInnes 16 52 0 21 Apr 2020
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning David Tellez D. Höppener Cornelis Verhoef D. Grünhagen Pieter M H Nierop M. Drozdzal Jeroen van der Laak F. Ciompi MedIm 28 31 0 15 Apr 2020
QuantNet: Transferring Learning Across Systematic Trading Strategies Adriano Soares Koshiyama Sebastian Flennerhag Stefano B. Blumberg Nikan B. Firoozye Philip C. Treleaven AIFin MQ 20 9 0 07 Apr 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 22 14 0 18 Mar 2020
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions Lili Zheng Garvesh Raskutti Rebecca Willett Benjamin Mark 20 0 0 16 Mar 2020
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder André Mendes Julian Togelius L. Coelho 21 2 0 15 Mar 2020
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes André Mendes Julian Togelius L. Coelho 17 0 0 15 Mar 2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery Mobarakol Islam V. Vibashan Hongliang Ren 32 28 0 10 Mar 2020
Indoor Scene Recognition in 3D Shengyu Huang Mikhail (Misha) Usvyatsov Konrad Schindler 3DV 3DPC 24 19 0 28 Feb 2020