An Overview of Multi-Task Learning in Deep Neural Networks

15 June 2017

Papers citing "An Overview of Multi-Task Learning in Deep Neural Networks"

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Title
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 27 47 0 04 Jun 2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs M. Martell Mitchell Chen K. Linton-Reid J. Posma S. Copley E. Aboagye 11 3 0 11 May 2021
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business M. Edrisi 27 0 0 09 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 19 9 0 09 May 2021
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge Yong Dai Jian-Dong Liu Jian Zhang H. Fu Zenglin Xu 30 12 0 09 May 2021
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark Yihua Cheng Haofei Wang Yiwei Bao Feng Lu CVBM 23 126 0 26 Apr 2021
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis Pranav Maneriker Yuntian He Srinivas Parthasarathy 28 9 0 01 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 36 130 0 01 Apr 2021
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier Jihyong Oh Munchurl Kim GAN 35 20 0 29 Mar 2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach Rui Xie Wei Ye Jinan Sun Shikun Zhang 20 26 0 21 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 86 0 03 Mar 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 19 5 0 27 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 181 0 11 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 59 222 0 27 Jan 2021
Language Modelling as a Multi-Task Problem Leon Weber Jaap Jumelet Elia Bruni Dieuwke Hupkes 23 13 0 27 Jan 2021
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization Shubh Gupta Grace Gao 19 5 0 16 Jan 2021
Taxonomy Completion via Triplet Matching Network Jieyu Zhang Xiangchen Song Ying Zeng Jiaze Chen Jiaming Shen Yuning Mao Lei Li 28 38 0 06 Jan 2021
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios Huanzhang Dou Wenhu Zhang Pengyi Zhang Yuhan Zhao Songyuan Li Zequn Qin Fei Wu Lin Dong Xi Li SLR 51 16 0 05 Jan 2021
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs Ayaan Haque GAN 19 32 0 26 Dec 2020
Hypothesis Disparity Regularized Mutual Information Maximization Qicheng Lao Xiang Jiang Mohammad Havaei 33 24 0 15 Dec 2020
Invariant Feature Learning for Sensor-based Human Activity Recognition Yujiao Hao Boyu Wang Rong Zheng 19 20 0 14 Dec 2020
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal Xiaodong Cun Chi-Man Pun 42 43 0 13 Dec 2020
Deep Learning Approach for Matrix Completion Using Manifold Learning Saeid Mehrdad M. Kahaei 21 6 0 11 Dec 2020
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19 Guoqing Bao Huai Chen Tongliang Liu G. Gong Yong Yin Lisheng Wang Xiuying Wang 16 24 0 10 Dec 2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels Hai-Tao Zheng Ruiyang Liu Zihao Zhang Ning Ding Ying Shen Li Tao Haitao Zheng 16 0 0 17 Nov 2020
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework S. Yadav Jainish Chauhan Joy Prakash Sain K. Thirunarayan A. Sheth Jeremiah A. Schumm 16 42 0 12 Nov 2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration Qingyu Chen T. Keenan Alexis Allot Yifan Peng Elvira Agrón ... Chantal Cousineau-Krieger W. Wong Yingying Zhu E. Chew Zhiyong Lu MedIm 28 20 0 09 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection Yin Cao Turab Iqbal Qiuqiang Kong Y. Zhong Wenwu Wang Mark D. Plumbley 16 75 0 25 Oct 2020
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond Xin Li Lidong Bing Wenxuan Zhang Zheng Li Wai Lam 50 25 0 23 Oct 2020
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction Rodrigo Santa Cruz Leo Lebrat Pierrick Bourgeat Clinton Fookes Jurgen Fripp Olivier Salvado 3DV MedIm 21 45 0 22 Oct 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 27 32 0 16 Oct 2020
Multi-task Learning for Multilingual Neural Machine Translation Yiren Wang Chengxiang Zhai Hany Awadalla 37 68 0 06 Oct 2020
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network Sijin Kim Namhyuk Ahn Kyung-ah Sohn 25 7 0 30 Sep 2020
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning Subhojeet Pramanik Shashank Mujumdar Hima Patel 19 31 0 30 Sep 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 30 9 0 29 Sep 2020
Where is the Model Looking At?--Concentrate and Explain the Network Attention Wenjia Xu Jiuniu Wang Yang Wang Guangluan Xu Wei Dai Yirong Wu XAI 24 17 0 29 Sep 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties Zeren Shui George Karypis 29 62 0 26 Sep 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 24 89 0 19 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 45 609 0 10 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 15 12 0 22 Aug 2020
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles Yuxin Lu Peng Cheng Zhuo Chen W. Mow Yonghui Li B. Vucetic 24 13 0 27 Jul 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 30 72 0 24 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 14 15 0 20 Jul 2020
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification Yeunju Choi Youngmoon Jung Hoirin Kim 16 27 0 16 Jul 2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 19 184 0 14 Jul 2020
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation Yoel Zeldes Dan Padnos Or Sharir Barak Peleg 23 19 0 30 Jun 2020