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Multi-Task Learning as Multi-Objective Optimization

Multi-Task Learning as Multi-Objective Optimization

10 October 2018
Ozan Sener
V. Koltun
ArXivPDFHTML

Papers citing "Multi-Task Learning as Multi-Objective Optimization"

50 / 183 papers shown
Title
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
Tushar Kataria
Shireen Elhabian
29
0
0
14 May 2025
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun
Qingyong Li
Yangli-ao Geng
Boyang Li
MoMe
31
0
0
11 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
46
0
0
08 May 2025
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
Ziyu Zhang
S. Bashkirov
Dun Yang
Michael Taylor
Xue Bin Peng
38
0
0
08 May 2025
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface Representation
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface Representation
Bobo Lian
Dandan Wang
Chenjian Wu
Minxin Chen
3DPC
36
0
0
05 May 2025
Multi-Scale Graph Learning for Anti-Sparse Downscaling
Multi-Scale Graph Learning for Anti-Sparse Downscaling
Yingda Fan
Runlong Yu
Janet R. Barclay
A. Appling
Yiming Sun
Yiqun Xie
Xiaowei Jia
AI4CE
28
0
0
03 May 2025
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
Yongkang Li
Panagiotis Eustratiadis
Simon Lupart
Evangelos Kanoulas
AAML
48
0
0
24 Apr 2025
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation
Jiakai Tang
Jingsen Zhang
Zihang Tian
Xueyang Feng
Lei Wang
Xu Chen
OffRL
126
0
0
19 Apr 2025
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Jing Bi
Susan Liang
Xiaofei Zhou
Pinxin Liu
Junjia Guo
...
C. Chen
Lianggong Wen
Zhang Liu
Jiebo Luo
Chenliang Xu
LRM
32
0
0
04 Apr 2025
Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services
Foivos Charalampakos
Thomas Tsouparopoulos
Iordanis Koutsopoulos
49
1
0
10 Mar 2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
133
0
0
07 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning
Jayden Teoh
Pradeep Varakantham
Peter Vamplew
OffRL
34
0
0
02 Mar 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
70
1
0
27 Feb 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
155
0
0
27 Feb 2025
Balanced Rate-Distortion Optimization in Learned Image Compression
Balanced Rate-Distortion Optimization in Learned Image Compression
Yichi Zhang
Z. Duan
Yuning Huang
F. Zhu
34
1
0
27 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
Zhen Zhang
Y. Yang
Kai Zhen
Nathan Susanj
Athanasios Mouchtaris
Siegfried Kunzmann
Zheng Zhang
54
0
0
17 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
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Alessio Quercia
Erenus Yildiz
Zhuo Cao
Kai Krajsek
Abigail Morrison
Ira Assent
Hanno Scharr
51
0
0
22 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Sergio Rozada
Santiago Paternain
J. Bazerque
Antonio G. Marques
69
0
0
17 Jan 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
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection
Kaiying Yan
Moyang Liu
Yukun Liu
Ruibo Fu
Zhengqi Wen
J. Tao
Xuefei Liu
Guanjun Li
36
0
0
12 Jan 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
Dong Zhang
Kwang-Ting Cheng
MedIm
20
0
0
03 Jan 2025
MUNBa: Machine Unlearning via Nash Bargaining
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
71
3
0
23 Nov 2024
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
64
1
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 Learning
Yuxiang Lu
Shengcao Cao
Yu-xiong Wang
49
1
0
18 Oct 2024
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Selina Khan
Nanne van Noord
46
4
0
16 Oct 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
Jun Yuan
Guohao Cai
Zhenhua Dong
23
0
0
08 Oct 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang
Dong-Young Lim
AI4CE
30
2
0
27 Sep 2024
Using dynamic loss weighting to boost improvements in forecast stability
Using dynamic loss weighting to boost improvements in forecast stability
Daan Caljon
Jeff Vercauteren
Simon De Vos
Wouter Verbeke
Jente Van Belle
37
0
0
26 Sep 2024
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification
Zuomin Qu
Wei Lu
Xiangyang Luo
Qian Wang
Xiaochun Cao
AAML
PICV
77
1
0
20 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via
  continual learning
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong
S. Chun
Jongho Lee
36
2
0
16 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer?
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller
Mark Dredze
Nicholas Andrews
55
1
0
26 Aug 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis
Pascal Frossard
F. Fleuret
MoE
61
6
0
10 Jul 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
Lu Li
T. Zhang
Zhiqi Bu
Suyuchen Wang
Huan He
Jie Fu
Yonghui Wu
Jiang Bian
Yong Chen
Yoshua Bengio
FedML
MoMe
94
3
0
11 Jun 2024
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an
  OpenFOAM-Embedded Deep Learning Framework
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
Jesus Gonzalez-Sieiro
David Pardo
Vincenzo Nava
V. M. Calo
Markus Towara
AI4CE
32
1
0
13 May 2024
Machine Learning-Assisted Thermoelectric Cooling for On-Demand
  Multi-Hotspot Thermal Management
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management
Jiajian Luo
Jaeho Lee
31
3
0
20 Apr 2024
Evolutionary Preference Sampling for Pareto Set Learning
Evolutionary Preference Sampling for Pareto Set Learning
Rongguang Ye
Longcan Chen
Jinyuan Zhang
H. Ishibuchi
27
3
0
12 Apr 2024
Multi-Task Learning for Lung sound & Lung disease classification
Multi-Task Learning for Lung sound & Lung disease classification
V. SumaK.
Deepali Koppad
Preethi Kumar
Neha A Kantikar
Surabhi Ramesh
24
1
0
05 Apr 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
Xudong Sun
Nutan Chen
Alexej Gossmann
Yu Xing
Carla Feistner
...
Felix Drost
Daniele Scarcella
Lisa Beer
Carsten Marr
Carsten Marr
59
1
0
20 Mar 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Yanqi Dai
Dong Jing
Nanyi Fei
Zhiwu Lu
Nanyi Fei
Guoxing Yang
Zhiwu Lu
53
3
0
07 Mar 2024
Multi-objective Differentiable Neural Architecture Search
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Frank Hutter
40
1
0
28 Feb 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement
  Learning for Discrete Prompt Optimization
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
Yasaman Jafari
Dheeraj Mekala
Rose Yu
Taylor Berg-Kirkpatrick
53
7
0
18 Feb 2024
Adaptive multi-gradient methods for quasiconvex vector optimization and
  applications to multi-task learning
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
Nguyen Anh Minh
L. Muu
Tran Ngoc Thang
16
0
0
09 Feb 2024
Data-efficient Large Vision Models through Sequential Autoregression
Data-efficient Large Vision Models through Sequential Autoregression
Jianyuan Guo
Zhiwei Hao
Chengcheng Wang
Yehui Tang
Han Wu
Han Hu
Kai Han
Chang Xu
VLM
38
10
0
07 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
35
0
0
05 Feb 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Yu-Guan Hsieh
James Thornton
Eugène Ndiaye
Michal Klein
Marco Cuturi
Pierre Ablin
MedIm
31
0
0
05 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
31
3
0
04 Feb 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
Wang Chao
Jiaxuan Zhao
Licheng Jiao
Lingling Li
Fang Liu
Shuyuan Yang
64
13
0
19 Jan 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level
  Optimization
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
47
6
0
17 Jan 2024
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