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Controllable Dynamic Multi-Task Architectures

Controllable Dynamic Multi-Task Architectures

Computer Vision and Pattern Recognition (CVPR), 2022
28 March 2022
Dripta S. Raychaudhuri
Yumin Suh
S. Schulter
Xiang Yu
M. Faraki
Amit K. Roy-Chowdhury
Manmohan Chandraker
ArXiv (abs)PDFHTMLGithub (539★)

Papers citing "Controllable Dynamic Multi-Task Architectures"

18 / 18 papers shown
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
Shen Yuan
Yin Zheng
Taifeng Wang
Binbin Liu
Hongteng Xu
MoMe
526
2
0
17 Jun 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Xiaoyuan Zhang
Xi Lin
Han Zhao
Gang Qu
James T. Kwok
532
23
0
19 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
737
2
0
21 Oct 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 LearningInternational Conference on Learning Representations (ICLR), 2024
Yuxiang Lu
Shengcao Cao
Yu-Xiong Wang
602
6
0
18 Oct 2024
Neural Metamorphosis
Neural MetamorphosisEuropean Conference on Computer Vision (ECCV), 2024
Xingyi Yang
Xinchao Wang
386
5
0
10 Oct 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization
Preference-Optimized Pareto Set Learning for Blackbox Optimization
Zhang Haishan
Chen Liang
Koji Tsuda
309
1
0
19 Aug 2024
Model Adaptation for Time Constrained Embodied Control
Model Adaptation for Time Constrained Embodied Control
Jaehyun Song
Minjong Yoo
Honguk Woo
255
0
0
17 Jun 2024
Multi-task Learning for Real-time Autonomous Driving Leveraging
  Task-adaptive Attention Generator
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Wonhyeok Choi
Mingyu Shin
Hyukzae Lee
Jaehoon Cho
Jaehyeon Park
Sunghoon Im
337
11
0
06 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
498
2
0
23 Feb 2024
A Hyper-Transformer model for Controllable Pareto Front Learning with
  Split Feasibility Constraints
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
Tran Anh Tuan
Nguyen Viet Dung
Tran Ngoc Thang
244
4
0
04 Feb 2024
Efficient Controllable Multi-Task Architectures
Efficient Controllable Multi-Task ArchitecturesIEEE International Conference on Computer Vision (ICCV), 2023
Abhishek Aich
S. Schulter
Amit K. Roy-Chowdhury
Manmohan Chandraker
Yumin Suh
316
9
0
22 Aug 2023
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic
  Disc/Cup Segmentation and Fovea Detection
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection
Huaqing He
Li Lin
Zhiyuan Cai
Pujin Cheng
Xiaoying Tang
ViTMedIm
255
8
0
19 May 2023
Multi-Task Structural Learning using Local Task Similarity induced
  Neuron Creation and Removal
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and RemovalInternational Conference on Machine Learning (ICML), 2023
Naresh Gurulingan
Bahram Zonooz
Elahe Arani
223
2
0
30 Apr 2023
Tunable Convolutions with Parametric Multi-Loss Optimization
Tunable Convolutions with Parametric Multi-Loss OptimizationComputer Vision and Pattern Recognition (CVPR), 2023
Matteo Maggioni
T. Tanay
F. Babiloni
Jingyu Sun
Alevs Leonardis
312
4
0
03 Apr 2023
Dynamic Neural Network for Multi-Task Learning Searching across Diverse
  Network Topologies
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network TopologiesComputer Vision and Pattern Recognition (CVPR), 2023
Wonhyeok Choi
Sunghoon Im
267
12
0
13 Mar 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on
  Multi-task Graph Neural Topology Search
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology SearchIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2023
Chao Wang
Licheng Jiao
Jiaxuan Zhao
Lingling Li
Xu Liu
Fan Liu
Shuyuan Yang
225
9
0
06 Feb 2023
GPPF: A General Perception Pre-training Framework via Sparsely Activated
  Multi-Task Learning
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning
Benyuan Sun
Jinqiao Dai
Zihao Liang
Cong Liu
Yi Yang
Bo Bai
MoE
254
4
0
03 Aug 2022
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Yangyang Xu
Xiangtai Li
Haobo Yuan
Jianlong Wu
Lefei Zhang
ViT
570
79
0
28 May 2022
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