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Mitigating Task Interference in Multi-Task Learning via Explicit Task
  Routing with Non-Learnable Primitives

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives

3 August 2023
Chuntao Ding
Zhichao Lu
Shangguang Wang
Ran Cheng
Vishnu Naresh Boddeti
    MoMe
ArXivPDFHTML

Papers citing "Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives"

13 / 13 papers shown
Title
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
Faezeh Faez
Raika Karimi
Yingxue Zhang
Xing Li
Lei Chen
M. Yuan
Mahdi Biparva
32
2
0
09 Sep 2024
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Cheng Gong
Yao Chen
Qiuyang Luo
Ye Lu
Tao Li
Yuzhi Zhang
Yufei Sun
Le Zhang
36
0
0
19 Jul 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large
  Language Models
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
Leyang Shen
Gongwei Chen
Rui Shao
Weili Guan
Liqiang Nie
MoE
40
6
0
17 Jul 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
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
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
E. Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Page-Caccia
Alessandro Sordoni
MoMe
39
31
0
18 May 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
47
44
0
23 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
31
0
0
23 Feb 2024
InstructIR: High-Quality Image Restoration Following Human Instructions
InstructIR: High-Quality Image Restoration Following Human Instructions
Marcos V. Conde
Gregor Geigle
Radu Timofte
DiffM
20
48
0
29 Jan 2024
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation
  Learning
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
Yingqian Min
Kun Zhou
Dawei Gao
Wayne Xin Zhao
He Hu
Yaliang Li
26
1
0
07 Jan 2024
Task adaption by biologically inspired stochastic comodulation
Task adaption by biologically inspired stochastic comodulation
Gauthier Boeshertz
Caroline Haimerl
Cristina Savin
18
0
0
25 Nov 2023
Denoising Task Routing for Diffusion Models
Denoising Task Routing for Diffusion Models
Byeongjun Park
Sangmin Woo
Hyojun Go
Jin-Young Kim
Changick Kim
DiffM
19
18
0
11 Oct 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
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