A Survey on Multi-Task Learning

25 July 2017

Papers citing "A Survey on Multi-Task Learning"

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Title
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring Arka Daw K. Yeo Anuj Karpatne L. Klein 11 2 0 02 Nov 2022
Towards Versatile Embodied Navigation Han Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 60 20 0 30 Oct 2022
GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network Ziyu Shan Qi Yang Rui Ye Yujie Zhang Yiling Xu Xiaozhong Xu Shan Liu 3DPC 50 41 0 29 Oct 2022
Multi-task Bias-Variance Trade-off Through Functional Constraints J. Cerviño J. Bazerque Miguel Calvo-Fullana Alejandro Ribeiro 26 0 0 27 Oct 2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach H. Fernando Han Shen Miao Liu Subhajit Chaudhury K. Murugesan Tianyi Chen 41 8 0 23 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka MoE 30 37 0 21 Oct 2022
Sketching low-rank matrices with a shared column space by convex programming R. S. Srinivasa Seonho Kim Kiryung Lee 23 1 0 13 Oct 2022
Parameter-Efficient Masking Networks Yue Bai Huan Wang Xu Ma Yitian Zhang Zhiqiang Tao Yun Fu 31 10 0 13 Oct 2022
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning Bo-wen Li Yongqiang Yao Jingru Tan Xin Lu F. Yu Ye Luo Jianwei Lu VLM 43 0 0 11 Oct 2022
Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform Kyungchul Park Hyun-Kyo Chung S. Kwon 29 0 0 10 Oct 2022
Learnware: Small Models Do Big Zhi Zhou Zhi-Hao Tan 38 23 0 07 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference Mu Yuan Lan Zhang Zimu Zheng Yi-Nan Zhang Xiang-Yang Li 30 2 0 28 Sep 2022
Design Perspectives of Multitask Deep Learning Models and Applications Yeshwant Singh Anupam Biswas Angshuman Bora Debashish Malakar Subham Chakraborty S. Bera 33 0 0 27 Sep 2022
Grape Cold Hardiness Prediction via Multi-Task Learning Aseem Saxena Paola Pesántez-Cabrera Rohan Ballapragada Kin-Ho Lam M. Keller Alan Fern VLM 19 5 0 21 Sep 2022
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers Adebayo Oshingbesan Courage Ekoh Germann Atakpa Yonah Byaruagaba 10 0 0 21 Sep 2022
Weighted Distributed Estimation under Heterogeneity J. Gu Songxi Chen 21 1 0 14 Sep 2022
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks E. Vinogradova K. Pats Ferdinand Molnár S. Fazli 23 0 0 13 Sep 2022
A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images Chenyu Zhang Muhammad Monjurul Karim Ruwen Qin 27 9 0 06 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 21 6 0 04 Sep 2022
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites Zeyu Cao Wenjuan Yao Wei Peng Xiaoya Zhang K. Bao AI4CE 40 10 0 01 Sep 2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization Tiantian Zhang Zichuan Lin Yuxing Wang Deheng Ye Qiang Fu Wei Yang Xueqian Wang Bin Liang Bo Yuan Xiu Li CLL 40 10 0 01 Sep 2022
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking JunYoung Gwak Silvio Savarese Jeannette Bohg VOT 30 13 0 22 Aug 2022
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes Can Zheng Yanshan Wang X. Jia 32 0 0 19 Aug 2022
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning Long Dai Jiarong Mao Xuefeng Fan Xiaoyi Zhou 21 2 0 09 Aug 2022
Bias Reducing Multitask Learning on Mental Health Prediction Khadija Zanna K. Sridhar Han Yu Akane Sano 24 20 0 07 Aug 2022
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems Tyler Cody AI4CE 12 7 0 04 Aug 2022
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning Benyuan Sun Jinqiao Dai Zihao Liang Cong Liu Yi Yang Bo Bai MoE 18 4 0 03 Aug 2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning Yifei Ren Jian Lou Li Xiong Joyce C. Ho Xiaoqian Jiang Sivasubramanium Bhavan OOD 38 3 0 01 Aug 2022
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning Y. Nasir L. Durlofsky 31 3 0 21 Jul 2022
Provably tuning the ElasticNet across instances Maria-Florina Balcan M. Khodak Dravyansh Sharma Ameet Talwalkar 47 13 0 20 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 38 2 0 09 Jul 2022
Saliency-Regularized Deep Multi-Task Learning Guangji Bai Liang Zhao 21 8 0 03 Jul 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal Julia A. Schnabel 35 22 0 29 Jun 2022
Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis Guanxun Li Quan Zhou 20 1 0 28 Jun 2022
Sample Condensation in Online Continual Learning Mattia Sangermano Antonio Carta Andrea Cossu D. Bacciu DD 33 43 0 23 Jun 2022
Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis Tae-Woo Kim Minguk Kang Gyeong-Hoon Lee AAML 34 6 0 23 Jun 2022
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth Nitin Bansal Pan Ji Junsong Yuan Yi Tian Xu MDE 33 3 0 21 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 45 44 0 18 Jun 2022
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation Zhihong Lin Danli Shi Donghao Zhang Xuedong Shang Mingguang He Z. Ge 15 5 0 18 Jun 2022
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles Hongyu Hu Qi Wang Zheng-Wei Zhang Zheng Li Zhenhai Gao 30 28 0 17 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 34 53 0 16 Jun 2022
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation Samayan Bhattacharya Sk Shahnawaz Avigyan Bhattacharya 25 1 0 10 Jun 2022
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning Yu Jin Kim Beong-woo Kwak Youngwook Kim Reinald Kim Amplayo Seung-won Hwang Jinyoung Yeo LRM 27 12 0 08 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 37 6 0 05 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek Alceu Bissoto Catarina Barata Sandra Avila Eduardo Valle M. Celebi Ghassan Hamarneh 52 82 0 01 Jun 2022
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering João Machado de Freitas Sebastian Berg Bernhard C. Geiger Manfred Mücke 21 1 0 31 May 2022
AdaTask: Adaptive Multitask Online Learning Pierre Laforgue Andrea Della Vecchia Nicolò Cesa-Bianchi Lorenzo Rosasco 25 2 0 31 May 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images Jun Shi Yuan-Yang Zhang Zheng Li Xiangmin Han Saisai Ding Jun Wang Shihui Ying FedML OOD 30 11 0 31 May 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 37 8 0 28 May 2022