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1605.06391
Cited By
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
20 May 2016
Yongxin Yang
Timothy M. Hospedales
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Papers citing
"Deep Multi-task Representation Learning: A Tensor Factorisation Approach"
50 / 52 papers shown
Title
Byzantine Resilient Federated Multi-Task Representation Learning
Tuan Le
Shana Moothedath
55
0
0
24 Mar 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu
Shengcao Cao
Yu-xiong Wang
60
1
0
18 Oct 2024
Generalist: Decoupling Natural and Robust Generalization
Hongjun Wang
Yisen Wang
OOD
AAML
49
14
0
24 Mar 2023
Tensorized LSSVMs for Multitask Regression
Jiani Liu
Qinghua Tao
Ce Zhu
Yipeng Liu
Johan A. K. Suykens
20
1
0
04 Mar 2023
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
34
73
0
22 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection
Soumyajit Gupta
Sooyong Lee
Maria De-Arteaga
Matthew Lease
27
13
0
14 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
61
19
0
22 Jan 2023
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li
Xu Yang
Yong Wang
Yuankai Wu
Deqiang He
46
10
0
12 Dec 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
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
João Machado de Freitas
Sebastian Berg
Bernhard C. Geiger
Manfred Mücke
21
1
0
31 May 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
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam
Tanvirul Alam
Md. Arid Hasan
A. Hasnat
Muhammad Imran
Ferda Ofli
VLM
30
51
0
29 Aug 2021
Adaptation-Agnostic Meta-Training
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
37
0
0
24 Aug 2021
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations
Yiwei Chen
Yu Pan
D. Dong
26
3
0
19 Aug 2021
Attribute Guided Sparse Tensor-Based Model for Person Re-Identification
Fariborz Taherkhani
Ali Dabouei
Sobhan Soleymani
J. Dawson
Nasser M. Nasrabadi
CVBM
38
2
0
29 Jul 2021
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
34
120
0
07 Jul 2021
Marginalizable Density Models
D. Gilboa
Ari Pakman
Thibault Vatter
BDL
32
5
0
08 Jun 2021
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
984
0
03 Mar 2021
Meta-Learning for Effective Multi-task and Multilingual Modelling
Ishan Tarunesh
Sushil Khyalia
Vishwajeet Kumar
Ganesh Ramakrishnan
Preethi Jyothi
39
16
0
25 Jan 2021
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
M. N. D. Costa
R. Attux
A. Cichocki
J. Romano
25
3
0
22 Jan 2021
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Taylor Mordan
Matthieu Cord
P. Pérez
Alexandre Alahi
24
22
0
04 Dec 2020
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
77
73
0
13 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
55
610
0
10 Sep 2020
Multiple Classification with Split Learning
Jongwon Kim
Sungho Shin
Yeonguk Yu
Junseok Lee
Kyoobin Lee
FedML
23
12
0
22 Aug 2020
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
Haolin Chen
Luis Rademacher
29
3
0
16 Jul 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
29
72
0
28 Apr 2020
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
93
1,939
0
11 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
29
94
0
31 Mar 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Jiahao Su
Wonmin Byeon
Jean Kossaifi
Furong Huang
Jan Kautz
Anima Anandkumar
AI4TS
19
119
0
21 Feb 2020
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
V. Chen
Sen Wu
Zhenzhen Weng
Alexander Ratner
Christopher Ré
21
56
0
13 Sep 2019
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
Jean Kossaifi
Adrian Bulat
Georgios Tzimiropoulos
Maja Pantic
22
67
0
04 Apr 2019
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
96
0
28 Mar 2019
TuckER: Tensor Factorization for Knowledge Graph Completion
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
36
714
0
28 Jan 2019
Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information
Haofu Liao
A. Mesfin
Jiebo Luo
30
85
0
09 Dec 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
33
769
0
29 Oct 2018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyu Zhao
Haoxiang Li
Xiaohui Shen
Xiaodan Liang
Ying Nian Wu
21
137
0
17 Jul 2018
Collaborative Learning for Deep Neural Networks
Guocong Song
Wei Chai
FedML
21
192
0
30 May 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Elliot Meyerson
Risto Miikkulainen
25
45
0
11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
39
120
0
10 Mar 2018
Neural Aesthetic Image Reviewer
Wenshan Wang
Su Yang
Weishan Zhang
Jiulong Zhang
22
38
0
28 Feb 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao
Jiayi Ma
Mingbo Zhao
Wen Liu
Alan Yuille
36
252
0
25 Jan 2018
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
24
62
0
17 Nov 2017
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning
Jingjing Xu
Xu Sun
Sujian Li
Xiaoyan Cai
Bingzhen Wei
19
0
0
04 Nov 2017
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
59
1,417
0
09 Oct 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
34
296
0
30 Aug 2017
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
43
145
0
26 Jul 2017
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
80
2,173
0
25 Jul 2017
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives
Yongxin Yang
Timothy M. Hospedales
21
9
0
28 Nov 2016
Trace Norm Regularised Deep Multi-Task Learning
Yongxin Yang
Timothy M. Hospedales
FedML
25
217
0
13 Jun 2016
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