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Trace Norm Regularised Deep Multi-Task Learning

Trace Norm Regularised Deep Multi-Task Learning

13 June 2016
Yongxin Yang
Timothy M. Hospedales
    FedML
ArXivPDFHTML

Papers citing "Trace Norm Regularised Deep Multi-Task Learning"

34 / 34 papers shown
Title
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
Junjie Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
64
4
0
09 Feb 2025
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Yanhao Jia
Xinyi Wu
Hao Li
Qinglin Zhang
Yuxiao Hu
Shuai Zhao
Wenqi Fan
50
3
0
09 Feb 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
49
0
0
12 Jan 2025
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based
  Partial Differential Equations Solving
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving
Junjun Yan
Xinhai Chen
Zhichao Wang
Enqiang Zhou
Jie Liu
PINN
AI4CE
29
1
0
12 Jul 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
37
13
0
13 Dec 2022
Egocentric Video Task Translation
Egocentric Video Task Translation
Zihui Xue
Yale Song
Kristen Grauman
Lorenzo Torresani
EgoV
36
12
0
13 Dec 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
N. Durasov
Nik Dorndorf
Pascal Fua
VLM
21
5
0
21 Nov 2022
Design Perspectives of Multitask Deep Learning Models and Applications
Design Perspectives of Multitask Deep Learning Models and Applications
Yeshwant Singh
Anupam Biswas
Angshuman Bora
Debashish Malakar
Subham Chakraborty
S. Bera
33
0
0
27 Sep 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Mingtong Zhang
Shuhong Zheng
Zhipeng Bao
M. Hebert
Yu-xiong Wang
32
12
0
09 Jun 2022
High Efficiency Pedestrian Crossing Prediction
High Efficiency Pedestrian Crossing Prediction
Z. Zeng
26
0
0
04 Apr 2022
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-man Cheung
28
28
0
27 Oct 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map
  Inference
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan
Youngji Kim
J. Grizzle
Jeffrey M. Walls
Ayoung Kim
Ryan Eustice
Maani Ghaffari
32
15
0
28 Jun 2021
Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors
Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors
T. Sakai
SSL
27
0
0
21 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
37
106
0
11 Jun 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
35
36
0
17 Jan 2021
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Hai-Tao Zheng
Ruiyang Liu
Zihao Zhang
Ning Ding
Ying Shen
Li Tao
Haitao Zheng
21
0
0
17 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
30
15
0
29 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
55
610
0
10 Sep 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
41
1,175
0
19 Jan 2020
Single-Network Whole-Body Pose Estimation
Single-Network Whole-Body Pose Estimation
Gines Hidalgo
Yaadhav Raaj
Haroon Idrees
Donglai Xiang
Hanbyul Joo
Tomas Simon
Yaser Sheikh
3DH
128
100
0
30 Sep 2019
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for
  Natural Language Processing
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Jianquan Li
Xiaokang Liu
Wenpeng Yin
Min Yang
Liqun Ma
Yaohong Jin
AIMat
30
13
0
16 Aug 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas J. Guibas
Jitendra Malik
Silvio Savarese
26
503
0
18 May 2019
Recognition of Advertisement Emotions with Application to Computational
  Advertising
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla
Shruti Shriya Gullapuram
Harish Katti
Mohan Kankanhalli
Stefan Winkler
Subramanian Ramanathan
31
27
0
03 Apr 2019
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
Bin Luo
CVBM
28
127
0
22 Jan 2019
Multitask Learning Deep Neural Networks to Combine Revealed and Stated
  Preference Data
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data
Shenhao Wang
Qingyi Wang
Jinhuan Zhao
AI4TS
8
21
0
02 Jan 2019
Multi-Task Graph Autoencoders
Multi-Task Graph Autoencoders
Phi Vu Tran
SSL
24
20
0
07 Nov 2018
Neural Task Representations as Weak Supervision for Model Agnostic
  Cross-Lingual Transfer
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer
S. Jauhar
Michael Gamon
Patrick Pantel
26
3
0
02 Nov 2018
Visual Reasoning by Progressive Module Networks
Visual Reasoning by Progressive Module Networks
Seung Wook Kim
Makarand Tapaswi
Sanja Fidler
ReLM
LRM
36
13
0
06 Jun 2018
Cross-connected Networks for Multi-task Learning of Detection and
  Segmentation
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda
Ryota Yoshihashi
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
21
15
0
15 May 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
86
2,173
0
25 Jul 2017
Latent Multi-task Architecture Learning
Latent Multi-task Architecture Learning
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
CVBM
27
171
0
23 May 2017
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network
  Perspectives
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives
Yongxin Yang
Timothy M. Hospedales
21
9
0
28 Nov 2016
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
526
0
27 Jun 2012
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