FAMO: Fast Adaptive Multitask Optimization

6 June 2023

Papers citing "FAMO: Fast Adaptive Multitask Optimization"

20 / 20 papers shown

Title
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion Xingyu Hu Junjun Jiang Chenyang Wang Kui Jiang Xianming Liu Jiayi Ma 16 0 0 07 Apr 2025
Injecting Imbalance Sensitivity for Multi-Task Learning Zhipeng Zhou Liu Liu Peilin Zhao Wei Gong 48 0 0 11 Mar 2025
Continual Optimization with Symmetry Teleportation for Multi-Task Learning Zhipeng Zhou Ziqiao Meng Pengcheng Wu Peilin Zhao Chunyan Miao 37 0 0 06 Mar 2025
Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang Z. Duan Yuning Huang F. Zhu 29 1 0 27 Feb 2025
PiKE: Adaptive Data Mixing for Multi-Task Learning Under Low Gradient Conflicts Zeman Li Yuan Deng Peilin Zhong Meisam Razaviyayn Vahab Mirrokni MoMe 69 1 0 10 Feb 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Victoria Lin Han Zhao Qingfu Zhang James T. Kwok 70 1 0 19 Jan 2025
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen A. F. M. Saif Yanning Shen Tianyi Chen 63 1 0 02 Dec 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 63 3 0 23 Nov 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 11 0 0 08 Oct 2024
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning Lukas Kirchdorfer Cathrin Elich Simon Kutsche Heiner Stuckenschmidt Lukas Schott Jan M. Kohler 18 5 0 15 Aug 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 51 5 0 10 Jul 2024
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin Yilu Liu Xiao-Yan Zhang Fei Liu Zhenkun Wang Qingfu Zhang 19 0 0 30 May 2024
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen Cheems Wang Zehao Xiao N. V. Noord M. Worring 19 1 0 09 Apr 2024
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 17 9 0 23 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 15 0 0 05 Feb 2024
Examining Common Paradigms in Multi-Task Learning Cathrin Elich Lukas Kirchdorfer Jan M. Kohler Lukas Schott 20 0 0 08 Nov 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 197 2,953 0 22 Mar 2023
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 55 61 0 23 Sep 2022
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 8 6 0 21 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 201 235 1 10 Sep 2021