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TaskExpert: Dynamically Assembling Multi-Task Representations with
  Memorial Mixture-of-Experts

TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts

28 July 2023
Hanrong Ye
Dan Xu
    MoE
ArXivPDFHTML

Papers citing "TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts"

19 / 19 papers shown
Title
Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
Zhenxing Mi
Ping Yin
Xue Xiao
Dan Xu
MoE
49
0
0
04 May 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
135
1
0
10 Mar 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
42
0
0
12 Jan 2025
Multi-Task Label Discovery via Hierarchical Task Tokens for Partially
  Annotated Dense Predictions
Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions
Jingdong Zhang
Hanrong Ye
Xin Li
Wenping Wang
Dan Xu
72
1
0
27 Nov 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu
Shengcao Cao
Yu-xiong Wang
49
1
0
18 Oct 2024
MECFormer: Multi-task Whole Slide Image Classification with Expert
  Consultation Network
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network
Doanh C. Bui
Jin Tae Kwak
DiffM
MedIm
23
0
0
06 Oct 2024
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
Ghada Sokar
J. Obando-Ceron
Aaron C. Courville
Hugo Larochelle
Pablo Samuel Castro
MoE
127
2
0
02 Oct 2024
Mixture of Experts in a Mixture of RL settings
Mixture of Experts in a Mixture of RL settings
Timon Willi
J. Obando-Ceron
Jakob Foerster
Karolina Dziugaite
Pablo Samuel Castro
MoE
41
7
0
26 Jun 2024
SimSMoE: Solving Representational Collapse via Similarity Measure
SimSMoE: Solving Representational Collapse via Similarity Measure
Giang Do
Hung Le
T. Tran
MoE
44
1
0
22 Jun 2024
FusionBench: A Comprehensive Benchmark of Deep Model Fusion
FusionBench: A Comprehensive Benchmark of Deep Model Fusion
Anke Tang
Li Shen
Yong Luo
Han Hu
Bo Du
Dacheng Tao
ELM
MoMe
VLM
44
21
0
05 Jun 2024
Generative AI Agents with Large Language Model for Satellite Networks
  via a Mixture of Experts Transmission
Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission
Ruichen Zhang
Hongyang Du
Yinqiu Liu
Dusit Niyato
Jiawen Kang
Zehui Xiong
Abbas Jamalipour
Dong In Kim
MoE
52
22
0
14 Apr 2024
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain
  Activity
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
Ruijie Quan
Wenguan Wang
Zhibo Tian
Fan Ma
Yi Yang
47
12
0
29 Mar 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Yuqi Yang
Peng-Tao Jiang
Qibin Hou
Hao Zhang
Jinwei Chen
Bo-wen Li
MoE
33
18
0
26 Mar 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from
  Partially Annotated Data
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
Hanrong Ye
Dan Xu
DiffM
52
4
0
22 Mar 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task
  Partially Supervised Learning
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning
Meixuan Li
Tianyu Li
Guoqing Wang
Peng Wang
Yang Yang
H. Shen
38
0
0
15 Mar 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL
Mixtures of Experts Unlock Parameter Scaling for Deep RL
J. Obando-Ceron
Ghada Sokar
Timon Willi
Clare Lyle
Jesse Farebrother
Jakob N. Foerster
Gintare Karolina Dziugaite
Doina Precup
Pablo Samuel Castro
55
29
0
13 Feb 2024
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
Anke Tang
Li Shen
Yong Luo
Nan Yin
Lefei Zhang
Dacheng Tao
MoMe
33
40
0
01 Feb 2024
Multi-task Learning with 3D-Aware Regularization
Multi-task Learning with 3D-Aware Regularization
Weihong Li
Steven G. McDonagh
A. Leonardis
Hakan Bilen
26
3
0
02 Oct 2023
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
183
21,813
0
09 Dec 2016
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