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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
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training Guoxi Huang A. Bors 45 1 0 23 Nov 2022
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series Wei-Shu Xiong Xiaochen (Michael) Sun AI4TS 18 1 0 22 Nov 2022
Syntax-Aware On-the-Fly Code Completion Wannita Takerngsaksiri Chakkrit Tantithamthavorn Yuankui Li 90 18 0 09 Nov 2022
Semantic SuperPoint: A Deep Semantic Descriptor Gabriel S. Gama N. D. S. Rosa V. Grassi VLM 91 1 0 02 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 79 19 0 30 Oct 2022
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space Zhe Li Man-Wai Mak Helen M. Meng 86 9 0 29 Oct 2022
M $^3$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design Hanxue Liang Zhiwen Fan Rishov Sarkar Ziyu Jiang Tianlong Chen Kai Zou Yu Cheng Cong Hao Zhangyang Wang MoE 73 88 0 26 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka MoE 93 42 0 21 Oct 2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences Natavsa Tagasovska Nathan C. Frey Andreas Loukas I. Hotzel J. Lafrance-Vanasse ... A. Rajpal Richard Bonneau Kyunghyun Cho Stephen Ra Vladimir Gligorijević 88 11 0 19 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 90 25 0 18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 90 62 0 16 Oct 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 53 0 0 15 Oct 2022
Association Graph Learning for Multi-Task Classification with Category Shifts Jiayi Shen Zehao Xiao Xiantong Zhen Cees G. M. Snoek Marcel Worring OOD 120 7 0 10 Oct 2022
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems Andrea Gesmundo 104 2 0 29 Sep 2022
Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models Youness Moukafih Mounir Ghogho Kamel Smaïli AAML 37 5 0 28 Sep 2022
Exploring Example Influence in Continual Learning Q. Sun Fan Lyu Fanhua Shang Wei Feng Liang Wan CLL 126 49 0 25 Sep 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 135 65 0 23 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems Andrea Gesmundo 61 18 0 15 Sep 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 79 8 0 02 Sep 2022
DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks Xinyu Gao Wenqiang Yi Yuanwei Liu Jianhua Zhang Ping Zhang 13 5 0 01 Sep 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 83 6 0 29 Aug 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 47 4 0 09 Aug 2022
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer Madhureeta Das Xianhao Chen Xiaoyong Yuan Lan Zhang 42 2 0 21 Jul 2022
UFO: Unified Feature Optimization Teng Xi Yifan Sun Deli Yu Bi Li Nan Peng ... Haocheng Feng Junyu Han Jingtuo Liu Errui Ding Jingdong Wang 88 11 0 21 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Leilei Gan CLL 77 2 0 14 Jul 2022
Beyond Transfer Learning: Co-finetuning for Action Localisation Anurag Arnab Xuehan Xiong A. Gritsenko Rob Romijnders Josip Djolonga Mostafa Dehghani Chen Sun Mario Lucic Cordelia Schmid 87 8 0 08 Jul 2022
Saliency-Regularized Deep Multi-Task Learning Guangji Bai Liang Zhao 80 8 0 03 Jul 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 99 13 0 25 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 133 4 0 24 Jun 2022
Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression Meishu Song Zijiang Yang Andreas Triantafyllopoulos Xin Jing Vincent Karas Xie Jiangjian Zixing Zhang Yamamoto Yoshiharu Bjoern W. Schuller 52 6 0 22 Jun 2022
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth Nitin Bansal Pan Ji Junsong Yuan Yi Tian Xu MDE 118 4 0 21 Jun 2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration Wenhui Huang Cong Zhang Jingda Wu Xiangkun He Jie Zhang Chengqi Lv 54 9 0 20 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 105 1 0 16 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 91 30 0 09 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 259 6 0 05 Jun 2022
Stochastic Multiple Target Sampling Gradient Descent Hoang Phan Ngoc N. Tran Trung Le Toan M. Tran Nhat Ho Dinh Q. Phung 100 14 0 04 Jun 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 325 293 0 30 May 2022
Tackling Multiple Tasks with One Single Learning Framework Michael Yang BDL 40 0 0 29 May 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 67 6 0 26 May 2022
Real-Time Video Deblurring via Lightweight Motion Compensation Hyeongseok Son Junyong Lee Sunghyun Cho Seungyong Lee 48 6 0 25 May 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 144 30 0 19 May 2022
ConceptDistil: Model-Agnostic Distillation of Concept Explanations Joao Bento Sousa Ricardo Moreira Vladimir Balayan Pedro Saleiro P. Bizarro FAtt 27 3 0 07 May 2022
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer Haoran Xu Kenton W. Murray 81 12 0 29 Apr 2022
Leveraging convergence behavior to balance conflicting tasks in multi-task learning A. T. M. Nakamura D. Wolf V. Grassi 120 7 0 14 Apr 2022
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition Yang Li Ji Chen Fu Li Boxun Fu Hao Wu Youshuo Ji Yijing Zhou Yi Niu Guangming Shi Wenming Zheng SSL 66 98 0 12 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 92 28 0 06 Apr 2022
LibMTL: A Python Library for Multi-Task Learning Baijiong Lin Yu Zhang OffRL AI4CE 73 38 0 27 Mar 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding Hanrong Ye Dan Xu ViT 69 90 0 15 Mar 2022
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Yun He Xuening Feng Cheng Cheng Geng Ji Yunsong Guo James Caverlee 68 44 0 14 Mar 2022
Exploring Customer Price Preference and Product Profit Role in Recommender Systems Michal Kompan Péter Gáspár Jakub Macina Matus Cimerman Maria Bielikova 44 11 0 13 Mar 2022