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1604.03539
Cited By
Cross-stitch Networks for Multi-task Learning
12 April 2016
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
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Papers citing
"Cross-stitch Networks for Multi-task Learning"
50 / 205 papers shown
Title
Feature Pyramid Network for Multi-task Affective Analysis
Ruian He
Zhen Xing
Weimin Tan
Bo Yan
CVBM
33
8
0
08 Jul 2021
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Anuja Vats
Marius Pedersen
A. Mohammed
Ø. Hovde
14
7
0
30 Jun 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
Heterogeneous Multi-task Learning with Expert Diversity
Raquel Y. S. Aoki
Frederick Tung
Gabriel L. Oliveira
MoE
39
22
0
20 Jun 2021
Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip
Xindi Hu
Limin Wang
Xin Yang
Xu Zhou
Wufeng Xue
...
Yuhao Huang
Shuangping Guo
N. Shang
Dong Ni
Ning Gu
13
14
0
10 Jun 2021
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business
M. Edrisi
27
0
0
09 May 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
M. Elmahdy
Laurens Beljaards
Sahar Yousefi
Hessam Sokooti
F. Verbeek
U. A. van der Heide
Marius Staring
27
20
0
05 May 2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Pongpisit Thanasutives
M. Numao
Ken-ichi Fukui
AI4CE
22
24
0
29 Apr 2021
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
B. De Baets
Willem Waegeman
17
9
0
19 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
270
0
16 Apr 2021
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems
Cong Hao
Deming Chen
13
20
0
08 Apr 2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
Rui Xie
Wei Ye
Jinan Sun
Shikun Zhang
20
26
0
21 Mar 2021
End-to-end optimized image compression for multiple machine tasks
Lahiru D. Chamain
Fabien Racapé
Jean Bégaint
Akshay Pushparaja
Simon Feltman
21
22
0
06 Mar 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT
Xiaohang Fu
Lei Bi
Ashnil Kumar
M. Fulham
Jinman Kim
11
29
0
05 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy
Isabel Valera
21
86
0
03 Mar 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
Exploiting Learnable Joint Groups for Hand Pose Estimation
Moran Li
Yuan Gao
Nong Sang
3DH
23
35
0
17 Dec 2020
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Taylor Mordan
Matthieu Cord
P. Pérez
Alexandre Alahi
24
22
0
04 Dec 2020
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
S. Yadav
Jainish Chauhan
Joy Prakash Sain
K. Thirunarayan
A. Sheth
Jeremiah A. Schumm
16
42
0
12 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
28
15
0
29 Oct 2020
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
Yin Cao
Turab Iqbal
Qiuqiang Kong
Y. Zhong
Wenwu Wang
Mark D. Plumbley
16
75
0
25 Oct 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen
Jiquan Ngiam
Yanping Huang
Thang Luong
Henrik Kretzschmar
Yuning Chai
Dragomir Anguelov
41
206
0
14 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson
Risto Miikkulainen
16
12
0
05 Oct 2020
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
Sijin Kim
Namhyuk Ahn
Kyung-ah Sohn
25
7
0
30 Sep 2020
Scalable Transfer Learning with Expert Models
J. Puigcerver
C. Riquelme
Basil Mustafa
Cédric Renggli
André Susano Pinto
Sylvain Gelly
Daniel Keysers
N. Houlsby
34
62
0
28 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
48
609
0
10 Sep 2020
Multiple Classification with Split Learning
Jongwon Kim
Sungho Shin
Yeonguk Yu
Junseok Lee
Kyoobin Lee
FedML
15
12
0
22 Aug 2020
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
35
298
0
13 Aug 2020
Assisting Scene Graph Generation with Self-Supervision
Sandeep Inuganti
V. Balasubramanian
SSL
13
7
0
08 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
30
72
0
24 Jul 2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Xiangtai Li
Xia Li
Li Zhang
Guangliang Cheng
Jianping Shi
Zhouchen Lin
Shaohua Tan
Yunhai Tong
20
255
0
20 Jul 2020
Boundary-preserving Mask R-CNN
Tianheng Cheng
Xinggang Wang
Lichao Huang
Wenyu Liu
ISeg
39
204
0
17 Jul 2020
On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation
Amila Silva
Pei-Chi Lo
Ee-Peng Lim
11
11
0
16 Jul 2020
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
31
31
0
17 Jun 2020
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
Leo F. Isikdogan
Bhavin V. Nayak
Chyuan-Tyng Wu
Joao Peralta Moreira
R. Sushma
G. Michael
10
7
0
12 Jun 2020
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
18
174
0
02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee
Youngdoo Son
27
22
0
20 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu
Hongyang R. Zhang
Christopher Ré
18
154
0
02 May 2020
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
Jens Schreiber
Bernhard Sick
AI4TS
12
12
0
29 Apr 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
24
72
0
28 Apr 2020
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Laurens Beljaards
M. Elmahdy
F. Verbeek
Marius Staring
3DV
36
15
0
17 Apr 2020
Generating Fact Checking Explanations
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
19
188
0
13 Apr 2020
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Haitian Zeng
H. Ai
Zijie Zhuang
Long Chen
17
33
0
07 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
14
94
0
31 Mar 2020
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
175
0
30 Mar 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Jingwen Ye
Yixin Ji
Xinchao Wang
Xin Gao
Xiuming Zhang
29
53
0
20 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
28
213
0
27 Feb 2020
MPM: Joint Representation of Motion and Position Map for Cell Tracking
Junya Hayashida
Kazuya Nishimura
Ryoma Bise
VOT
32
31
0
25 Feb 2020
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
23
74
0
24 Feb 2020
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