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Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

20 May 2016
Yongxin Yang
Timothy M. Hospedales
ArXivPDFHTML

Papers citing "Deep Multi-task Representation Learning: A Tensor Factorisation Approach"

50 / 52 papers shown
Title
Byzantine Resilient Federated Multi-Task Representation Learning
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
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
Generalist: Decoupling Natural and Robust Generalization
Hongjun Wang
Yisen Wang
OOD
AAML
49
14
0
24 Mar 2023
Tensorized LSSVMs for Multitask Regression
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
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
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
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
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
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
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
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
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
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
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
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
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
Marginalizable Density Models
D. Gilboa
Ari Pakman
Thibault Vatter
BDL
32
5
0
08 Jun 2021
Domain Generalization: A Survey
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
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
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
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
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
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
55
610
0
10 Sep 2020
Multiple Classification with Split Learning
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
39
120
0
10 Mar 2018
Neural Aesthetic Image Reviewer
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
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
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
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
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
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
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
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
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
Trace Norm Regularised Deep Multi-Task Learning
Yongxin Yang
Timothy M. Hospedales
FedML
25
217
0
13 Jun 2016
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