Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1606.04038
Cited By
Trace Norm Regularised Deep Multi-Task Learning
13 June 2016
Yongxin Yang
Timothy M. Hospedales
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Trace Norm Regularised Deep Multi-Task Learning"
34 / 34 papers shown
Title
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
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
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
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
Dylan Sam
J. Zico Kolter
NoLa
OffRL
37
13
0
13 Dec 2022
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
N. Durasov
Nik Dorndorf
Pascal Fua
VLM
26
5
0
21 Nov 2022
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
Mingtong Zhang
Shuhong Zheng
Zhipeng Bao
M. Hebert
Yu-xiong Wang
32
12
0
09 Jun 2022
High Efficiency Pedestrian Crossing Prediction
Z. Zeng
28
0
0
04 Apr 2022
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
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
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
T. Sakai
SSL
27
0
0
21 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Bo 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
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
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
M. Crawshaw
CVBM
55
610
0
10 Sep 2020
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
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
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?
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
Abhinav Shukla
Shruti Shriya Gullapuram
Harish Katti
Mohan Kankanhalli
Stefan Winkler
Subramanian Ramanathan
34
27
0
03 Apr 2019
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
Shenhao Wang
Qingyi Wang
Jinhuan Zhao
AI4TS
8
21
0
02 Jan 2019
Multi-Task Graph Autoencoders
Phi Vu Tran
SSL
26
20
0
07 Nov 2018
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer
S. Jauhar
Michael Gamon
Patrick Pantel
32
3
0
02 Nov 2018
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
Seiichiro Fukuda
Ryota Yoshihashi
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
21
15
0
15 May 2018
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
89
2,173
0
25 Jul 2017
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
Yongxin Yang
Timothy M. Hospedales
21
9
0
28 Nov 2016
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
526
0
27 Jun 2012
1