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End-to-End Multi-Task Learning with Attention

End-to-End Multi-Task Learning with Attention

28 March 2018
Shikun Liu
Edward Johns
Andrew J. Davison
    CVBM
ArXivPDFHTML

Papers citing "End-to-End Multi-Task Learning with Attention"

50 / 139 papers shown
Title
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
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning
Fengchun Liu. Tong Zhang
Chunying Zhang
36
0
0
25 Apr 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Chen
S. Hu
Wayne Luk
Timothy M. Hospedales
Hongxiang Fan
MoMe
72
0
0
16 Mar 2025
Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model
Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model
Jiebin Yan
Ziwen Tan
Yuming Fang
Junjie Chen
Wenhui Jiang
Zhou Wang
117
2
0
24 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
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
Expert-elicitation method for non-parametric joint priors using normalizing flows
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Burkner
BDL
95
1
0
24 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
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
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction
Y. Zhang
Rui Yang
Yutao Yue
Eng Gee Lim
31
1
0
11 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
SGW-based Multi-Task Learning in Vision Tasks
SGW-based Multi-Task Learning in Vision Tasks
Ruiyuan Zhang
Yuyao Chen
Yuchi Huo
Jiaxiang Liu
Dianbing Xi
Jie Liu
Chao Wu
26
0
0
03 Oct 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
Backdoor Attacks against Image-to-Image Networks
Backdoor Attacks against Image-to-Image Networks
Wenbo Jiang
Hongwei Li
Jiaming He
Rui Zhang
Guowen Xu
Tianwei Zhang
Rongxing Lu
AAML
35
2
0
15 Jul 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
59
6
0
10 Jul 2024
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads
  Relevance
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance
Shouchang Guo
Sonam Damani
Keng-hao Chang
37
0
0
09 Jul 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Mian Zou
Baosheng Yu
Yibing Zhan
Siwei Lyu
Kede Ma
CVBM
53
3
0
14 May 2024
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote
  Physiological Measurement
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement
Jiyao Wang
Hao Lu
Ange Wang
Xiao Yang
Ying Chen
Dengbo He
Kaishun Wu
21
3
0
10 May 2024
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint
  Moment Retrieval and Highlight Detection
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
Jin Yang
Ping Wei
Huan Li
Ziyang Ren
40
8
0
14 Apr 2024
Transfer Learning Study of Motion Transformer-based Trajectory
  Predictions
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Lars Ullrich
Alex McMaster
Knut Graichen
38
3
0
12 Apr 2024
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
Chikai Shang
Rongguang Ye
Jiaqi Jiang
Fangqing Gu
32
1
0
01 Apr 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-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
42
1
0
06 Mar 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
44
44
0
23 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
33
0
0
05 Feb 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
Diverse Target and Contribution Scheduling for Domain Generalization
Diverse Target and Contribution Scheduling for Domain Generalization
Shaocong Long
Qianyu Zhou
Soham Dan
Lizhuang Ma
Yuan Luo
54
8
0
28 Sep 2023
ASY-VRNet: Waterway Panoptic Driving Perception Model based on
  Asymmetric Fair Fusion of Vision and 4D mmWave Radar
ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar
Runwei Guan
Shanliang Yao
Xiaohui Zhu
Ka Lok Man
Yong Yue
Jeremy S. Smith
Eng Gee Lim
Yutao Yue
32
9
0
20 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task
  Recommendation
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
Qi Liu
Zhilong Zhou
Gangwei Jiang
T. Ge
Defu Lian
13
12
0
11 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with
  Memorial Mixture-of-Experts
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye
Dan Xu
MoE
34
26
0
28 Jul 2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual
  gradient optimization for Multi-task Learning
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
Menglin Kong
Ri-Qi Su
Shaojie Zhao
Muzhou Hou
MoE
26
0
0
24 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
19
70
0
10 Jul 2023
Multi-Task Learning Improves Performance In Deep Argument Mining Models
Multi-Task Learning Improves Performance In Deep Argument Mining Models
Amirhossein Farzam
Shashank Shekhar
Isaac Mehlhaff
Marco Morucci
23
1
0
03 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene
  Understanding
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
Hanrong Ye
Dan Xu
ViT
27
10
0
08 Jun 2023
FAMO: Fast Adaptive Multitask Optimization
FAMO: Fast Adaptive Multitask Optimization
B. Liu
Yihao Feng
Peter Stone
Qian Liu
33
30
0
06 Jun 2023
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and
  Beyond
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
Zhu Liu
Jinyuan Liu
Guanyao Wu
Long Ma
Xin-Yue Fan
Risheng Liu
26
34
0
11 May 2023
Room dimensions and absorption inference from room transfer function via
  machine learning
Room dimensions and absorption inference from room transfer function via machine learning
Yuanxin Xia
C. Jeong
13
2
0
25 Apr 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A
  Multitask Learning Perspective
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Weixia Zhang
Guangtao Zhai
Ying Wei
Xiaokang Yang
Kede Ma
VLM
27
169
0
27 Mar 2023
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo-Wen Zhang
Tao Chen
Jiayuan Fan
Bin Wang
24
18
0
21 Mar 2023
CISum: Learning Cross-modality Interaction to Enhance Multimodal
  Semantic Coverage for Multimodal Summarization
CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization
Litian Zhang
Xiaoming Zhang
Ziming Guo
Zhipeng Liu
19
7
0
20 Feb 2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio
  for Multi-Task Learning
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
6
2
0
18 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for
  Demographic-Specific Toxicity Detection
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection
Soumyajit Gupta
Sooyong Lee
Maria De-Arteaga
Matthew Lease
18
13
0
14 Feb 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for
  Multi-Task Learning
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
Xin Dong
Ruize Wu
Chao Xiong
Hai Li
Lei Cheng
Yong He
Shiyou Qian
Jian Cao
Linjian Mo
6
4
0
31 Jan 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image
  Classification
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification
Iván de Andrés Tamé
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
21
2
0
25 Jan 2023
Regularising disparity estimation via multi task learning with
  structured light reconstruction
Regularising disparity estimation via multi task learning with structured light reconstruction
Alistair Weld
João Cartucho
Chi Xu
Joseph Davids
Stamatia Giannarou
3DV
19
4
0
19 Jan 2023
Semi-Structured Object Sequence Encoders
Semi-Structured Object Sequence Encoders
V. Rudramurthy
Riyaz Ahmad Bhat
Chulaka Gunasekara
Siva Sankalp Patel
H. Wan
Tejas I. Dhamecha
Danish Contractor
Marina Danilevsky
59
0
0
03 Jan 2023
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