ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

30 January 2023

Ximei Wang

Papers citing "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning"

15 / 15 papers shown

Title
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off Song Lai Zhe Zhao Fei Zhu Xi Victoria Lin Qingfu Zhang Gaofeng Meng CLL 48 1 0 30 Mar 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization Hao Chen S. Hu Wayne Luk Timothy M. Hospedales Hongxiang Fan MoMe 67 0 0 16 Mar 2025
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei Chunwei Ma Meng Ding Yufan Zhou Ziyun Huang Jinhui Xu 74 0 0 10 Dec 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 50 1 0 26 Aug 2024
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning Pin-Jie Lin Miaoran Zhang Marius Mosbach Dietrich Klakow 23 0 0 23 Jul 2024
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning Chenyuan Wu Gangwei Jiang Defu Lian CLL 16 0 0 18 Jun 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Zhenyi Lu Chenghao Fan Wei Wei Xiaoye Qu Dangyang Chen Yu Cheng MoMe 42 48 0 17 Jun 2024
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising Ruize Wang Hui Xu Ying Cheng Qi He Xing Zhou Rui Feng Wei Xu Lei Huang Jie Jiang 27 0 0 15 Jun 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu Yiwen Lu Chang Liu Yong Chen Yan Sun Xiao Hu Joyce C. Ho Carl Yang 35 1 0 09 Jun 2024
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining Tushar Kataria Beatrice S. Knudsen Shireen Elhabian DiffM MedIm 19 6 0 17 Mar 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang Zhenyi Wang Li Shen Shiwei Liu Guibing Guo Xingwei Wang Dacheng Tao MoMe 20 93 0 04 Oct 2023
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 67 61 0 23 Sep 2022
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 80 123 0 19 May 2012