A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

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Title
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis Wenmeng Yu Hua Xu Ziqi Yuan Jiele Wu SSL 52 444 0 09 Feb 2021
DEFT: Detection Embeddings for Tracking Mohamed Chaabane Peter Zhang J. Beveridge Stephen O'Hara VOT 91 88 0 03 Feb 2021
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs Quan Feng Songcan Chen 20 6 0 29 Jan 2021
Language Modelling as a Multi-Task Problem Leon Weber Jaap Jumelet Elia Bruni Dieuwke Hupkes 29 13 0 27 Jan 2021
A systematic literature review on state-of-the-art deep learning methods for process prediction Dominic A. Neu Johannes Lahann Peter Fettke AI4CE 26 126 0 22 Jan 2021
Transferring model structure in Bayesian transfer learning for Gaussian process regression Milan Papez A. Quinn 24 11 0 18 Jan 2021
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario Chiang-Jen Peng Yun-Ju Chan Cheng Yu Syu-Siang Wang Yu Tsao T. Chi 21 3 0 07 Jan 2021
Multitask Learning for Class-Imbalanced Discourse Classification Alexander Spangher Jonathan May Sz-Rung Shiang Lingjia Deng 14 5 0 02 Jan 2021
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 20 3 0 26 Dec 2020
Universal Policies for Software-Defined MDPs Daniel Selsam Jesse Michael Han L. D. Moura Patrice Godefroid 25 2 0 21 Dec 2020
Searching for Controllable Image Restoration Networks Heewon Kim Sungyong Baik Myungsub Choi Janghoon Choi Kyoung Mu Lee 19 9 0 21 Dec 2020
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation Lukas Hoyer Dengxin Dai Yuhua Chen Adrian Köring Suman Saha Luc Van Gool 3DPC SSL MDE 33 103 0 19 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 23 216 0 17 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 25 24 0 15 Dec 2020
SPARTA: Speaker Profiling for ARabic TAlk Wael Farhan Muhy Eddin Za'ter Qusai Abu Obaidah Hisham al Bataineh Zyad Sober Hussein T. Al-Natsheh 26 2 0 13 Dec 2020
Pair-view Unsupervised Graph Representation Learning You Li Binli Luo Ning Gui SSL 11 2 0 11 Dec 2020
Optimal selection of sample-size dependent common subsets of covariates for multi-task regression prediction David Azriel Y. Rinott 7 2 0 10 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 21 24 0 10 Dec 2020
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning Benjamin Maschler M. Weyrich 26 77 0 06 Dec 2020
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification Guansong Pang N. Pham E. Baker R. Bentley Anton Van Den Hengel 11 2 0 05 Dec 2020
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency Chongzhen Zhang Yang Tang Chaoqiang Zhao Qiyu Sun Zhencheng Ye Jürgen Kurths 16 35 0 29 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
A question-answering system for aircraft pilots' documentation Alexandre Arnold Gérard Dupont Félix Furger Catherine Kobus Franccois Lancelot 19 4 0 26 Nov 2020
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample Itamar Winter D. Weinshall GAN 22 0 0 25 Nov 2020
Multi-Task Adversarial Attack Pengxin Guo Yuancheng Xu Baijiong Lin Yu Zhang AAML 36 8 0 19 Nov 2020
Patient-independent Epileptic Seizure Prediction using Deep Learning Models T. Dissanayake Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes OOD 12 7 0 18 Nov 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 21 0 0 17 Nov 2020
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks Franco Manessi A. Rozza SSL 19 40 0 14 Nov 2020
A Theoretical Perspective on Differentially Private Federated Multi-task Learning Huiwen Wu Cen Chen Li Wang FedML 16 12 0 14 Nov 2020
Domain Generalization in Biosignal Classification T. Dissanayake Tharindu Fernando Simon Denman H. Ghaemmaghami Sridha Sridharan Clinton Fookes OOD 11 17 0 12 Nov 2020
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach Jintao Ke Siyuan Feng Zheng Zhu Hai Yang Jieping Ye AI4TS 19 78 0 11 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 33 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
Multi-task Supervised Learning via Cross-learning J. Cerviño J. Bazerque Miguel Calvo-Fullana Alejandro Ribeiro 11 2 0 24 Oct 2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation Guangneng Hu Qiang Yang 9 6 0 16 Oct 2020
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns Ziping Xu A. Meisami Ambuj Tewari 6 3 0 15 Oct 2020
Pretrained Language Models for Dialogue Generation with Multiple Input Sources Yu Cao Wei Bi Meng Fang Dacheng Tao 24 29 0 15 Oct 2020
Ferrograph image classification Peng Peng Jiugen Wang 19 1 0 14 Oct 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 28 139 0 08 Oct 2020
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text Chacha Chen Huang Chieh-Yang Yaqi Hou Yang Shi Enyan Dai Jiaqi Wang 6 0 0 29 Sep 2020
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach Rayson Laroca Alessandra B. Araujo L. A. Zanlorensi E. Almeida David Menotti 15 35 0 21 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 30 89 0 19 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 36 79 0 17 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 30 564 0 16 Sep 2020
Towards Interpretable Multi-Task Learning Using Bilevel Programming Francesco Alesiani Shujian Yu Ammar Shaker Wenzhe Yin 12 4 0 11 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 55 609 0 10 Sep 2020
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports S. Dhaubhadel J. Mohd-Yusof K. Ganguly Gopinath Chennupati S. Thulasidasan ... Georgia D. Tourassi Linda Coyle Lynne Penberthy Benjamin H. McMahon T. Bhattacharya 14 2 0 10 Sep 2020
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets R. Dorent Thomas C Booth Wenqi Li Carole H. Sudre S. Kafiabadi M. Jorge Cardoso Sebastien Ourselin Tom Kamiel Magda Vercauteren 26 25 0 08 Sep 2020