FAMO: Fast Adaptive Multitask Optimization

6 June 2023

Papers citing "FAMO: Fast Adaptive Multitask Optimization"

23 / 23 papers shown

Title
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation Tiancong Cheng Ying Zhang Y. Liang R. Zimmermann Zhiwen Yu Bin Guo VLM 21 0 0 15 May 2025
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
MoKD: Multi-Task Optimization for Knowledge Distillation Zeeshan Hayder A. Cheraghian Lars Petersson Mehrtash Harandi VLM 54 0 0 13 May 2025
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion Xingyu Hu Junjun Jiang Chenyang Wang Kui Jiang Xianming Liu Jiayi Ma 21 0 0 07 Apr 2025
Injecting Imbalance Sensitivity for Multi-Task Learning Zhipeng Zhou Liu Liu Peilin Zhao Wei Gong 56 0 0 11 Mar 2025
Continual Optimization with Symmetry Teleportation for Multi-Task Learning Zhipeng Zhou Ziqiao Meng Pengcheng Wu Peilin Zhao Chunyan Miao 47 0 0 06 Mar 2025
Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang Z. Duan Yuning Huang F. Zhu 39 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 75 1 0 10 Feb 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Lin Han Zhao Qingfu Zhang James T. Kwok 75 2 0 19 Jan 2025
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen A. F. M. Saif Yanning Shen Tianyi Chen 73 2 0 02 Dec 2024
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
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning Lukas Kirchdorfer Cathrin Elich Simon Kutsche Heiner Stuckenschmidt Lukas Schott Jan M. Kohler 36 5 0 15 Aug 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 64 6 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 43 5 0 30 May 2024
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen Cheems Wang Zehao Xiao Nanne van Noord M. Worring 32 2 0 09 Apr 2024
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 27 10 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 38 0 0 05 Feb 2024
Examining Common Paradigms in Multi-Task Learning Cathrin Elich Lukas Kirchdorfer Jan M. Kohler Lukas Schott 29 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 298 3,007 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 73 63 0 23 Sep 2022
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 35 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 206 238 1 10 Sep 2021