ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1707.08114
  4. Cited By
A Survey on Multi-Task Learning

A Survey on Multi-Task Learning

25 July 2017
Yu Zhang
Qiang Yang
    AIMat
ArXivPDFHTML

Papers citing "A Survey on Multi-Task Learning"

50 / 787 papers shown
Title
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual
  Text Processing
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing
Yan Shu
Weichao Zeng
Zhenhang Li
Fangmin Zhao
Yu Zhou
37
3
0
05 Feb 2024
Data Poisoning for In-context Learning
Data Poisoning for In-context Learning
Pengfei He
Han Xu
Yue Xing
Hui Liu
Makoto Yamada
Jiliang Tang
AAML
SILM
35
10
0
03 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
79
15
0
30 Jan 2024
WAL-Net: Weakly supervised auxiliary task learning network for carotid
  plaques classification
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
Haitao Gan
Lingchao Fu
Ran Zhou
Weiyan Gan
Furong Wang
Xiaoyan Wu
Zhi Yang
Zhongwei Huang
43
2
0
25 Jan 2024
Multitask Active Learning for Graph Anomaly Detection
Multitask Active Learning for Graph Anomaly Detection
Wenjing Chang
Kay Liu
Kaize Ding
Philip S. Yu
Jianjun Yu
50
8
0
24 Jan 2024
Enhancing In-context Learning via Linear Probe Calibration
Enhancing In-context Learning via Linear Probe Calibration
Momin Abbas
Yi Zhou
Parikshit Ram
Nathalie Baracaldo
Horst Samulowitz
Theodoros Salonidis
Tianyi Chen
76
11
0
22 Jan 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
59
124
0
17 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
50
6
0
17 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
38
12
0
09 Jan 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts
  for Instruction Tuning on General Tasks
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Haoyuan Wu
Haisheng Zheng
Zhuolun He
Bei Yu
MoE
ALM
29
14
0
05 Jan 2024
Graph Neural Networks for Surfactant Multi-Property Prediction
Graph Neural Networks for Surfactant Multi-Property Prediction
Christoforos Brozos
Jan G. Rittig
Sandip Bhattacharya
Elie Akanny
Christina Kohlmann
Alexander Mitsos
AI4CE
44
7
0
03 Jan 2024
Dual Teacher Knowledge Distillation with Domain Alignment for Face
  Anti-spoofing
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing
Zhe Kong
Wentian Zhang
Tao Wang
Kaihao Zhang
Yuexiang Li
Xiaoying Tang
Wenhan Luo
AAML
CVBM
25
1
0
02 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
33
2
0
02 Jan 2024
RainSD: Rain Style Diversification Module for Image Synthesis
  Enhancement using Feature-Level Style Distribution
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution
Hyeonjae Jeon
Junghyun Seo
Taesoo Kim
Sung-Gon Son
Jungki Lee
Gyeungho Choi
Yongseob Lim
46
1
0
31 Dec 2023
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
Stefania Bellavia
Francesco Della Santa
Alessandra Papini
43
0
0
26 Dec 2023
Merging Vision Transformers from Different Tasks and Domains
Merging Vision Transformers from Different Tasks and Domains
Peng Ye
Chenyu Huang
Mingzhu Shen
Tao Chen
Yongqi Huang
Yuning Zhang
Wanli Ouyang
MoMe
30
11
0
25 Dec 2023
Mixture of Cluster-conditional LoRA Experts for Vision-language
  Instruction Tuning
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
Yunhao Gou
Zhili Liu
Kai Chen
Lanqing Hong
Hang Xu
Aoxue Li
Dit-Yan Yeung
James T. Kwok
Yu Zhang
MoE
MLLM
VLM
49
63
0
19 Dec 2023
Mixed Distillation Helps Smaller Language Model Better Reasoning
Mixed Distillation Helps Smaller Language Model Better Reasoning
Chenglin Li
Qianglong Chen
Liangyue Li
Wang Caiyu
Yicheng Li
Zhang Yin
Yin Zhang
LRM
43
12
0
17 Dec 2023
Robust End-to-End Diarization with Domain Adaptive Training and
  Multi-Task Learning
Robust End-to-End Diarization with Domain Adaptive Training and Multi-Task Learning
Ivan Fung
Lahiru Samarakoon
Samuel J. Broughton
OOD
37
2
0
12 Dec 2023
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Jiaqi Li
Yuanhao Lai
Rui Wang
Changjian Shui
Sabyasachi Sahoo
Charles Ling
Shichun Yang
Boyu Wang
Christian Gagné
Fan Zhou
CLL
42
1
0
26 Nov 2023
Large Language Models in Law: A Survey
Large Language Models in Law: A Survey
Jinqi Lai
Wensheng Gan
Jiayang Wu
Zhenlian Qi
Philip S. Yu
ELM
AILaw
34
72
0
26 Nov 2023
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR
Jintao Jiang
Yingbo Gao
Zoltán Tüske
36
1
0
24 Nov 2023
Nonsmooth Projection-Free Optimization with Functional Constraints
Nonsmooth Projection-Free Optimization with Functional Constraints
Kamiar Asgari
Michael J. Neely
37
0
0
18 Nov 2023
Nonparametric Teaching for Multiple Learners
Nonparametric Teaching for Multiple Learners
Chen Zhang
Xiaofeng Cao
Weiyang Liu
Ivor Tsang
James T. Kwok
36
4
0
17 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational
  Multi-Task Model
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
Raphael Schäfer
Till Nicke
Henning Höfener
Annkristin Lange
Dorit Merhof
Friedrich Feuerhake
Volkmar Schulz
Johannes Lotz
Fabian Kiessling
VLM
22
17
0
16 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal
  Applications -- A Review
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
Ivo Pascal de Jong
A. Sburlea
Matias Valdenegro-Toro
30
1
0
15 Nov 2023
Alleviating Behavior Data Imbalance for Multi-Behavior Graph
  Collaborative Filtering
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering
Yijie Zhang
Yuan-Qi Bei
Shiqi Yang
Hao Chen
Zhiqing Li
Lijia Chen
Feiran Huang
31
5
0
12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope
Personalized Federated Learning via ADMM with Moreau Envelope
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Zhiyong Peng
31
0
0
12 Nov 2023
Examining Common Paradigms in Multi-Task Learning
Examining Common Paradigms in Multi-Task Learning
Cathrin Elich
Lukas Kirchdorfer
Jan M. Kohler
Lukas Schott
42
0
0
08 Nov 2023
OmniVec: Learning robust representations with cross modal sharing
OmniVec: Learning robust representations with cross modal sharing
Siddharth Srivastava
Gaurav Sharma
SSL
39
64
0
07 Nov 2023
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task
  Learning with Auxiliary Mutual Information Maximization
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
Cam-Van Thi Nguyen
Ngoc-Hoa Thi Nguyen
Duc-Trong Le
Quang-Thuy Ha
SSL
46
0
0
07 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous
  Models as a Free Lunch
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Le Yu
Yu Bowen
Haiyang Yu
Fei Huang
Yongbin Li
MoMe
48
278
0
06 Nov 2023
Online non-parametric likelihood-ratio estimation by Pearson-divergence
  functional minimization
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
Alejandro de la Concha
Nicolas Vayatis
Argyris Kalogeratos
26
1
0
03 Nov 2023
Learning to optimize by multi-gradient for multi-objective optimization
Learning to optimize by multi-gradient for multi-objective optimization
Linxi Yang
Xinmin Yang
L. Tang
18
1
0
01 Nov 2023
Implicit biases in multitask and continual learning from a backward
  error analysis perspective
Implicit biases in multitask and continual learning from a backward error analysis perspective
Benoit Dherin
44
3
0
01 Nov 2023
Optimizing accuracy and diversity: a multi-task approach to forecast
  combinations
Optimizing accuracy and diversity: a multi-task approach to forecast combinations
Giovanni Felici
A. M. Sudoso
16
0
0
31 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen
Xiantong Zhen
Qi
Qi Wang
M. Worring
27
11
0
28 Oct 2023
Deep Learning for Plant Identification and Disease Classification from
  Leaf Images: Multi-prediction Approaches
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches
Jianping Yao
Son N. Tran
Saurabh Garg
Samantha Sawyer
11
22
0
25 Oct 2023
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
Kai Li
Yupeng Deng
Yun-long Kong
Diyou Liu
Jingbo Chen
Yu Meng
Junxian Ma
Chenhao Wang
53
1
0
25 Oct 2023
Task Grouping for Automated Multi-Task Machine Learning via Task
  Affinity Prediction
Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction
Afiya Ayman
Ayan Mukhopadhyay
Aron Laszka
23
1
0
24 Oct 2023
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for
  Generalizing Person ReID
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID
Qilei Li
Shaogang Gong
32
4
0
24 Oct 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic
  Analysis of Federated EM Algorithms
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian
Haolei Weng
Yang Feng
24
3
0
23 Oct 2023
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial
  Understanding
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang
Pavan Kumar Anasosalu Vasu
Fartash Faghri
Raviteja Vemulapalli
Mehrdad Farajtabar
Sachin Mehta
Mohammad Rastegari
Oncel Tuzel
Hadi Pouransari
VLM
37
67
0
23 Oct 2023
Mobile Traffic Prediction at the Edge through Distributed and Transfer
  Learning
Mobile Traffic Prediction at the Edge through Distributed and Transfer Learning
Alfredo Petrella
M. Miozzo
Paolo Dini
25
1
0
22 Oct 2023
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task
  Medical Applications
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu
Xian Wu
Xiangyu Zhao
Yuanshao Zhu
Derong Xu
Feng Tian
Yefeng Zheng
MoE
39
62
0
21 Oct 2023
FERI: A Multitask-based Fairness Achieving Algorithm with Applications
  to Fair Organ Transplantation
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Can Li
Dejian Lai
Xiaoqian Jiang
Kai Zhang
34
4
0
20 Oct 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair
  Multi-Task Learning
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning
Arjun Roy
C. Koutlis
Symeon Papadopoulos
Eirini Ntoutsi
30
0
0
20 Oct 2023
Learning quantum properties from short-range correlations using
  multi-task networks
Learning quantum properties from short-range correlations using multi-task networks
Yadong Wu
Yan Zhu
Yuexuan Wang
G. Chiribella
28
4
0
18 Oct 2023
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
Chuang Li
Yan Zhang
Min-Yen Kan
Haizhou Li
21
1
0
16 Oct 2023
Previous
123456...141516
Next