A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

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Title
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections Zeyu Zhu Huijing Zhao 29 8 0 21 Feb 2022
Cross-Task Knowledge Distillation in Multi-Task Recommendation Chenxiao Yang Junwei Pan Xiaofeng Gao Tingyu Jiang Dapeng Liu Guihai Chen 39 44 0 20 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 19 4 0 15 Feb 2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences Maliheh Izadi Roberta Gismondi Georgios Gousios 28 100 0 14 Feb 2022
UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision Tianyu Li Ali Cevahir Derek Cho Hao Gong Duy Nguyen B. Stenger SSL 18 1 0 14 Feb 2022
Emotion Based Hate Speech Detection using Multimodal Learning Aneri Rana Sonali Jha 11 39 0 13 Feb 2022
Generative multitask learning mitigates target-causing confounding Taro Makino Krzysztof J. Geras Kyunghyun Cho OOD 27 6 0 08 Feb 2022
3D Object Detection from Images for Autonomous Driving: A Survey Xinzhu Ma Wanli Ouyang Andrea Simonelli Elisa Ricci 3DPC 70 96 0 07 Feb 2022
Deep Hierarchy in Bandits Joey Hong Branislav Kveton S. Katariya Manzil Zaheer Mohammad Ghavamzadeh 33 20 0 03 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent Daoming Lyu Bo Liu Jianshu Chen LRM 33 1 0 01 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu Hongyang Gao 43 40 0 01 Feb 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Yihan Li Jinsheng Ren Tianrun Xu Tianren Zhang Haichuan Gao Feng Chen 26 1 0 26 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 38 1 0 24 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 37 213 0 20 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling Qianqian Zhang Xinru Liao Quanlian Liu Jian Xu Bo Zheng 30 52 0 18 Jan 2022
Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained COVID-19 Multi-Class Classification from Chest X-rays Muhammad Ridzuan A. Bawazir Ivo Gollini Navarette Ibrahim Almakky Mohammad Yaqub SSL 45 7 0 16 Jan 2022
Flexible Style Image Super-Resolution using Conditional Objective Seungcheol Park Young-Su Moon N. Cho SupR 33 17 0 13 Jan 2022
A Unified Review of Deep Learning for Automated Medical Coding Shaoxiong Ji Wei Sun Xiaobo Li Hang Dong Ara Taalas Yijia Zhang Honghan Wu Esa Pitkänen Pekka Marttinen AI4TS MedIm 44 27 0 08 Jan 2022
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task Quan Feng Songcan Chen 22 5 0 07 Jan 2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling Yang Long Gui-Song Xia Lefei Zhang Gong Cheng Deren Li 21 14 0 06 Jan 2022
Faster Deep Ensemble Averaging for Quantification of DNA Damage from Comet Assay Images With Uncertainty Estimates Srikanth Namuduri Prateek Mehta L. Barbé Stephanie Lam Zohreh Faghihmonzavi S. Finkbeiner S. Bhansali 28 1 0 23 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu Chien-Yi Wang Shao-Yi Chien S. Lai FedML 26 36 0 23 Dec 2021
Multi-task UNet architecture for end-to-end autonomous driving Der-Hau Lee Jinn-Liang Liu 19 1 0 16 Dec 2021
Taming Repetition in Dialogue Generation Yadong Xi Jiashu Pu Xiaoxi Mao 31 6 0 16 Dec 2021
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge Yoonna Jang J. Lim Yuna Hur Dongsuk Oh Suhyune Son Yeonsoo Lee Donghoon Shin Seungryong Kim Heuiseok Lim 22 41 0 16 Dec 2021
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs Jian Liang Fangrui Lv Di Liu Zehui Dai Xu Tian Shuang Li Fei Wang Han Li 31 0 0 06 Dec 2021
Machine Learning in Nuclear Physics A. Boehnlein M. Diefenthaler C. Fanelli M. Hjorth-Jensen T. Horn ... M. Schram A. Scheinker Michael S. Smith Xin-Nian Wang Veronique Ziegler AI4CE 47 41 0 04 Dec 2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 56 29 0 04 Dec 2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving Manabu Nakanoya Junha Im Hang Qiu Sachin Katti Marco Pavone Sandeep P. Chinchali FedML 29 11 0 02 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas Icard Noah D. Goodman Christopher Potts CML OOD 35 71 0 01 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 50 40 0 29 Nov 2021
Classification-Regression for Chart Comprehension Matan Levy Rami Ben-Ari Dani Lischinski 31 15 0 29 Nov 2021
Evolutionary Multitask Optimization: Fundamental Research Questions, Practices, and Directions for the Future E. Osaba Javier Del Ser Ponnuthurai Nagaratnam Suganthan 38 15 0 29 Nov 2021
Deep Molecular Representation Learning via Fusing Physical and Chemical Information Shuwen Yang Ziyao Li Guojie Song Lingsheng Cai AI4CE 53 28 0 28 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 77 0 26 Nov 2021
Simultaneous face detection and 360 degree headpose estimation Hoang Nguyen Viet Linh Nguyen Viet T. N. Dinh Duc Tran Minh Long Tran Quoc CVBM 3DH 19 3 0 23 Nov 2021
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin Feiyang Ye Yu Zhang Ivor W. Tsang 44 94 0 20 Nov 2021
Deep Safe Multi-Task Learning Zhixiong Yue Feiyang Ye Yu Zhang Christy Jie Liang Ivor W. Tsang 26 3 0 20 Nov 2021
Docking-based Virtual Screening with Multi-Task Learning Zijing Liu Xianbin Ye Xiaomin Fang Fan Wang Hua Wu Haifeng Wang 14 2 0 18 Nov 2021
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder Joakim Bruslund Haurum Meysam Madadi Sergio Escalera T. Moeslund AI4CE 13 8 0 15 Nov 2021
Hierarchical Bayesian Bandits Joey Hong Branislav Kveton Manzil Zaheer Mohammad Ghavamzadeh FedML 52 38 0 12 Nov 2021
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 24 8 0 10 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors Jiayi Shen Xiantong Zhen M. Worring Ling Shao 23 27 0 09 Nov 2021
PCA-based Multi Task Learning: a Random Matrix Approach Malik Tiomoko Romain Couillet Frédéric Pascal 8 5 0 01 Nov 2021
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow Haitz Sáez de Ocáriz Borde David Sondak P. Protopapas AI4CE 28 3 0 30 Oct 2021
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 31 4 0 29 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 47 298 0 26 Oct 2021
Adversarial Robustness in Multi-Task Learning: Promises and Illusions Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon OOD AAML 31 18 0 26 Oct 2021
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations Junning Liu Zijie Xia Yu Lei Xinjian Li Xu Wang 23 2 0 26 Oct 2021