A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

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Title
Over-the-Air Federated Multi-Task Learning Haiyan Ma Xiaojun Yuan Dian Fan Z. Ding Xin Wang Jun Fang 11 4 0 27 Jun 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
A Survey on Human-aware Robot Navigation Ronja Möller Antonino Furnari Sebastiano Battiato Aki Härmä G. Farinella 44 87 0 22 Jun 2021
Multi-script Handwritten Digit Recognition Using Multi-task Learning Mesay Samuel Gondere Lars Schmidt-Thieme D. Sharma Randolf Scholz 10 3 0 15 Jun 2021
Improving weakly supervised sound event detection with self-supervised auxiliary tasks Soham Deshmukh Bhiksha Raj Rita Singh 16 11 0 12 Jun 2021
Nested and Balanced Entity Recognition using Multi-Task Learning Andreas Waldis Luca Mazzola 23 1 0 11 Jun 2021
Probing transfer learning with a model of synthetic correlated datasets Federica Gerace Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe Lenka Zdeborová OOD 16 30 0 09 Jun 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments Yuan Yin Ibrahim Ayed Emmanuel de Bézenac Nicolas Baskiotis Patrick Gallinari OOD 21 31 0 08 Jun 2021
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 42 37 0 07 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
Multitask Online Mirror Descent Nicolò Cesa-Bianchi Pierre Laforgue Andrea Paudice Massimiliano Pontil LRM 24 6 0 04 Jun 2021
Smooth Bilevel Programming for Sparse Regularization C. Poon Gabriel Peyré 19 18 0 02 Jun 2021
Weighted Training for Cross-Task Learning Shuxiao Chen K. Crammer Han He Dan Roth Weijie J. Su 17 28 0 28 May 2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task Darwin Saire Adín Ramirez Rivera 25 5 0 28 May 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles Ling Boyu Wang 41 29 0 09 May 2021
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study D. Kollias V. Sharmanska S. Zafeiriou CVBM 35 221 0 08 May 2021
SpeechNet: A Universal Modularized Model for Speech Processing Tasks Yi-Chen Chen Po-Han Chi Shu-Wen Yang Kai-Wei Chang Jheng-hao Lin Sung-Feng Huang Da-Rong Liu Chi-Liang Liu Cheng-Kuang Lee Hung-yi Lee MoE 29 17 0 07 May 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer M. Elmahdy Laurens Beljaards Sahar Yousefi Hessam Sokooti F. Verbeek U. A. van der Heide Marius Staring 27 20 0 05 May 2021
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators Yue Guo Felix Dietrich Tom S. Bertalan Danimir T. Doncevic Manuel Dahmen Ioannis G. Kevrekidis Qianxiao Li 22 11 0 04 May 2021
A Deep Learning Framework for Lifelong Machine Learning Charles X. Ling Tanner A. Bohn CLL 27 5 0 01 May 2021
Segmentation-grounded Scene Graph Generation Siddhesh Khandelwal M. Suhail Leonid Sigal 29 27 0 29 Apr 2021
Fine-grained Generalization Analysis of Vector-valued Learning Liang Wu Antoine Ledent Yunwen Lei Marius Kloft 27 9 0 29 Apr 2021
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning Shalin S Shah Ryan Siskind 6 2 0 28 Apr 2021
Weakly Supervised Multi-task Learning for Concept-based Explainability Catarina Belém Vladimir Balayan Pedro Saleiro P. Bizarro 81 10 0 26 Apr 2021
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition Wenliang Dai Samuel Cahyawijaya Yejin Bang Pascale Fung CVBM 36 11 0 23 Apr 2021
A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings Eltayeb Ahmed L. Zintgraf Christian Schroeder de Witt Nicolas Usunier SSL 24 0 0 17 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 28 164 0 16 Apr 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Jong Chul Ye ViT MedIm 55 97 0 15 Apr 2021
On Unifying Misinformation Detection Nayeon Lee Belinda Z. Li Sinong Wang Pascale Fung Hao Ma Wen-tau Yih Madian Khabsa 14 24 0 12 Apr 2021
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems Cong Hao Deming Chen 23 20 0 08 Apr 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions Jennifer J. Sun Tomomi Karigo Dipam Chakraborty Sharada Mohanty Benjamin Wild ... Chen Chen D. Anderson Pietro Perona Yisong Yue Ann Kennedy 32 48 0 06 Apr 2021
A Concise Review of Transfer Learning Abolfazl Farahani Behrouz Pourshojae Khaled Rasheed H. Arabnia CLL 10 59 0 05 Apr 2021
Multitask Recalibrated Aggregation Network for Medical Code Prediction Wei Sun Shaoxiong Ji Min Zhang Pekka Marttinen 6 8 0 02 Apr 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Z. Bukhsh Aaqib Saeed R. Dijkman AI4TS 4 45 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 41 130 0 01 Apr 2021
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks Atish Agarwala Abhimanyu Das Brendan Juba Rina Panigrahy Vatsal Sharan Xin Wang Qiuyi Zhang MoMe 11 10 0 29 Mar 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 32 58 0 24 Mar 2021
Robustly Optimized and Distilled Training for Natural Language Understanding Haytham ElFadeel Stanislav Peshterliev VLM OffRL 19 1 0 16 Mar 2021
Multi-task learning for virtual flow metering Anders T. Sandnes B. Grimstad O. Kolbjørnsen 19 13 0 15 Mar 2021
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection Rabiul Awal Rui Cao Roy Ka-wei Lee Sandra Mitrović 27 42 0 14 Mar 2021
Meta-Learning with MAML on Trees Jezabel R. Garcia Federica Freddi F. Liao Jamie McGowan Tim Nieradzik Da-Shan Shiu Ye Tian A. Bernacchia 24 4 0 08 Mar 2021
Universal Representation for Code Linfeng Liu H. Nguyen George Karypis Srinivasan H. Sengamedu SSL 19 3 0 04 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim OOD SSL 24 8 0 01 Mar 2021
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations Nikolaos Flemotomos Víctor R. Martínez Zhuohao Chen Torrey A. Creed David C. Atkins Shrikanth Narayanan 11 30 0 23 Feb 2021
Action Redundancy in Reinforcement Learning Nir Baram Guy Tennenholtz Shie Mannor 30 7 0 22 Feb 2021
Sign-regularized Multi-task Learning J. Torres Guangji Bai Junxiang Wang Liang Zhao Carmen Vaca Cristina L. Abad 21 4 0 22 Feb 2021
Deep Gait Recognition: A Survey Alireza Sepas-Moghaddam Ali Etemad CVBM 32 173 0 18 Feb 2021
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors Boyu Zhang Mushen Zhou Jianzhong Wu Fuchang Gao AI4CE 3DV 27 0 0 16 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 49 47 0 14 Feb 2021
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels Si Chen Yuqiu Qian Hui Li Chen Lin OffRL LRM 18 4 0 13 Feb 2021