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Multi-Task Learning as Multi-Objective Optimization

10 October 2018

Papers citing "Multi-Task Learning as Multi-Objective Optimization"

50 / 308 papers shown

Title
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 82 10 0 10 Mar 2022
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction Xiaoqi Zhao Youwei Pang Lihe Zhang Huchuan Lu 110 23 0 09 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning Yuan Li Yiwen Guo Qizhang Li Hongzhi Zhang W. Zuo 61 0 0 06 Mar 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 61 4 0 02 Mar 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 61 5 0 15 Feb 2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences Maliheh Izadi Roberta Gismondi Georgios Gousios 86 103 0 14 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 114 76 0 07 Feb 2022
Gap Minimization for Knowledge Sharing and Transfer Boyu Wang Jorge Armando Mendez Mendez Changjian Shui Fan Zhou Di Wu Gezheng Xu Christian Gagné Eric Eaton 138 10 0 26 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 96 75 0 11 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 103 45 0 31 Dec 2021
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert Zhuang Liu Ozan Sener James Hays V. Koltun VLM 99 204 0 27 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 106 84 0 09 Dec 2021
Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors Joshua Y. Kim Tongliang Liu K. Yacef 54 0 0 02 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 116 41 0 29 Nov 2021
WiFi-based Multi-task Sensing Xie Zhang Chengpei Tang Yasong An Kang Yin 51 3 0 26 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio Valerii Likhosherstov Anurag Arnab K. Choromanski Mario Lucic Yi Tay Adrian Weller Mostafa Dehghani ViT 107 75 0 25 Nov 2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Xiaoxue Chen Tianyu Liu Hao Zhao Guyue Zhou Ya Zhang 92 24 0 24 Nov 2021
Self-Regulated Learning for Egocentric Video Activity Anticipation Zhaobo Qi Shuhui Wang Chi Su Li Su Qingming Huang Q. Tian EgoV 117 52 0 23 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 104 8 0 15 Nov 2021
Auxiliary Loss Reweighting for Image Inpainting Siqi Hui Sanping Zhou Ye Deng Wenli Huang Jinjun Wang 67 1 0 14 Nov 2021
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 105 4 0 28 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 120 319 0 26 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 110 99 0 19 Oct 2021
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set Mao Ye Qiang Liu 133 11 0 17 Oct 2021
Multi-task problems are not multi-objective Michael Ruchte Josif Grabocka 62 4 0 14 Oct 2021
Semi-supervised Multi-task Learning for Semantics and Depth Yufeng Wang Yi-Hsuan Tsai Wei-Chih Hung Wenrui Ding Shuo Liu Ming-Hsuan Yang 86 21 0 14 Oct 2021
Self-Evolutionary Optimization for Pareto Front Learning Simyung Chang Kiyoon Yoo Jiho Jang Nojun Kwak 77 4 0 07 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 81 5 0 06 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 101 261 0 03 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 113 113 0 22 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 301 258 1 10 Sep 2021
Code-switched inspired losses for generic spoken dialog representations E. Chapuis Pierre Colombo Matthieu Labeau Chloe Clave 177 12 0 27 Aug 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 79 29 0 25 Aug 2021
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning Zhiyi Chen Tong Lin CLL 28 1 0 21 Aug 2021
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities Ke Li 68 9 0 21 Aug 2021
Affective Decoding for Empathetic Response Generation Chengkun Zheng Guanyi Chen Chenghua Lin Ruizhe Li Zhigang Chen 61 8 0 18 Aug 2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints Sachin Kumar Eric Malmi Aliaksei Severyn Yulia Tsvetkov BDL AI4CE 106 79 0 04 Aug 2021
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings B. Bahmani WaiChing Sun PINN AI4CE 98 18 0 24 Jul 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 86 8 0 22 Jul 2021
Screening for a Reweighted Penalized Conditional Gradient Method Yifan Sun Francis R. Bach 55 0 0 02 Jul 2021
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks Suryanarayana Maddu D. Sturm Christian L. Müller I. Sbalzarini AI4CE 92 83 0 02 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning Yipeng Zhang Tyler L. Hayes Christopher Kanan 140 3 0 02 Jul 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 116 15 0 28 Jun 2021
Multi-script Handwritten Digit Recognition Using Multi-task Learning Mesay Samuel Gondere Lars Schmidt-Thieme D. Sharma Randolf Scholz 29 3 0 15 Jun 2021
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning Fubang Zhao Zhuoren Jiang Yangyang Kang Changlong Sun Xiaozhong Liu 31 9 0 03 Jun 2021
Intra-Model Collaborative Learning of Neural Networks Shijie Fang Tong Lin 27 2 0 20 May 2021
Image interpretation by iterative bottom-up top-down processing S. Ullman Liav Assif Alona Strugatski B. Vatashsky Hila Levy Aviv Netanyahu A. Yaari 49 5 0 12 May 2021
Exploring Relational Context for Multi-Task Dense Prediction David Brüggemann Menelaos Kanakis Anton Obukhov Stamatios Georgoulis Luc Van Gool 128 77 0 28 Apr 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 135 98 0 22 Apr 2021
Multi-target prediction for dummies using two-branch neural networks Dimitrios Iliadis B. De Baets Willem Waegeman 44 11 0 19 Apr 2021