Multi-Task Learning as a Bargaining Game

2 February 2022

Papers citing "Multi-Task Learning as a Bargaining Game"

31 / 31 papers shown

Title
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning Gabriel S. Gama Valdir Grassi Jr MoMe 45 0 0 15 May 2025
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging Wenju Sun Qingyong Li Yangli-ao Geng Boyang Li MoMe 34 0 0 11 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang Z. Duan Yuning Huang F. Zhu 39 1 0 27 Feb 2025
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection Jiaqing Zhang Mingxiang Cao Weiying Xie Jie Lei Daixun Li Wenbo Huang Yunsong Li Xue Yang 62 5 0 28 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng Boyang Li 44 2 0 28 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 23 0 0 08 Oct 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang Dong-Young Lim AI4CE 35 2 0 27 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 61 1 0 26 Aug 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 67 6 0 10 Jul 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 42 2 0 11 Jun 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning Shangding Gu Bilgehan Sel Yuhao Ding Lu Wang Qingwei Lin Alois Knoll Ming Jin 42 1 0 26 May 2024
Multi-Task Learning for Lung sound & Lung disease classification V. SumaK. Deepali Koppad Preethi Kumar Neha A Kantikar Surabhi Ramesh 24 1 0 05 Apr 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning Yanqi Dai Dong Jing Nanyi Fei Zhiwu Lu Nanyi Fei Guoxing Yang Zhiwu Lu 55 3 0 07 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 Feb 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward Neta Glazer Aviv Navon Aviv Shamsian Ethan Fetaya 27 0 0 17 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 41 0 0 05 Feb 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization Feiyang Ye Baijiong Lin Xiao-Qun Cao Yu Zhang Ivor Tsang 50 6 0 17 Jan 2024
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks Stefania Bellavia Francesco Della Santa Alessandra Papini 41 0 0 26 Dec 2023
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints Biyuan Liu Huaixin Chen Kun Li Michael Ying Yang 35 14 0 13 Oct 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 37 10 0 16 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 41 30 0 06 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 32 24 0 01 Jun 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Peiyao Xiao Hao Ban Kaiyi Ji 32 18 0 28 May 2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks Xiaoping Han Xiatian Zhu Licheng Yu Li Zhang Yi-Zhe Song Tao Xiang VLM 24 38 0 04 Mar 2023
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 29 25 0 18 Oct 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 37 75 0 07 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 39 73 0 11 Jan 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015