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2211.15055
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AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
28 November 2022
Enneng Yang
Junwei Pan
Ximei Wang
Haibin Yu
Li Shen
Xihua Chen
Lei Xiao
Jie Jiang
G. Guo
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Papers citing
"AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning"
21 / 21 papers shown
Title
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun
Qingyong Li
Yangli-ao Geng
Boyang Li
MoMe
24
0
0
11 May 2025
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
Yang Cao
Changhao Zhang
Xiaoshuang Chen
Kaiqiao Zhan
Ben Wang
18
0
0
08 Apr 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
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
36
2
0
28 Jan 2025
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich
Alexander Podolskiy
Irina Piontkovskaya
43
0
0
28 Jan 2025
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery
Enneng Yang
Li Shen
Zhenyi Wang
G. Guo
Xingwei Wang
Xiaocun Cao
Jie Zhang
Dacheng Tao
MoMe
29
4
0
18 Oct 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
Jun Yuan
Guohao Cai
Zhenhua Dong
16
0
0
08 Oct 2024
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Jianzhe Zhao
Guibing Guo
Xingwei Wang
20
1
0
03 Aug 2024
Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images
Bo Yuan
Danpei Zhao
Zhuoran Liu
Wentao Li
Tian Li
CLL
VLM
23
2
0
19 Jul 2024
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
Yuyan Zhou
Liang Song
Bingning Wang
Weipeng Chen
MoMe
28
15
0
17 Jun 2024
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
Zijian Zhang
Shuchang Liu
Jiaao Yu
Qingpeng Cai
Xiangyu Zhao
...
Qidong Liu
Hongwei Zhao
Lantao Hu
Peng Jiang
Kun Gai
27
16
0
29 Apr 2024
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan
Wei Xue
Ximei Wang
Haibin Yu
Xun Liu
Shijie Quan
Xueming Qiu
Dapeng Liu
Lei Xiao
Jie Jiang
38
5
0
22 Feb 2024
Representation Surgery for Multi-Task Model Merging
Enneng Yang
Li Shen
Zhenyi Wang
Guibing Guo
Xiaojun Chen
Xingwei Wang
Dacheng Tao
MoMe
46
37
0
05 Feb 2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim
Susik Yoon
Dongmin Park
Youngjun Lee
Hwanjun Song
Jihwan Bang
Jae-Gil Lee
VLM
47
3
0
18 Nov 2023
Examining Common Paradigms in Multi-Task Learning
Cathrin Elich
Lukas Kirchdorfer
Jan M. Kohler
Lukas Schott
22
0
0
08 Nov 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
Enneng Yang
Zhenyi Wang
Li Shen
Shiwei Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
MoMe
31
94
0
04 Oct 2023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
Liangcai Su
Junwei Pan
Ximei Wang
Xi Xiao
Shijie Quan
Xihua Chen
Jie Jiang
15
15
0
16 Aug 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun
Xin Xu
J. Li
Xiaochang Hu
Yifei Shi
L. Zeng
17
2
0
31 May 2023
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Chenxiao Yang
Junwei Pan
Xiaofeng Gao
Tingyu Jiang
Dapeng Liu
Guihai Chen
29
44
0
20 Feb 2022
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
Congliang Chen
Li Shen
Fangyu Zou
Wei Liu
36
26
0
14 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
432
15,595
0
02 Nov 2015
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