Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1904.02920
Cited By
Branched Multi-Task Networks: Deciding What Layers To Share
5 April 2019
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Branched Multi-Task Networks: Deciding What Layers To Share"
42 / 42 papers shown
Title
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Jiaqing Zhang
Mingxiang Cao
Weiying Xie
Jie Lei
Daixun Li
Wenbo Huang
Yunsong Li
Xue Yang
65
5
0
28 Jan 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu
Shengcao Cao
Yu-Xiong Wang
68
1
0
18 Oct 2024
UnifiedNN: Efficient Neural Network Training on the Cloud
Xingyu Lou
Arthi Padmanabhan
Spyridon Mastorakis
FedML
57
0
0
02 Aug 2024
GO4Align: Group Optimization for Multi-Task Alignment
Jiayi Shen
Cheems Wang
Zehao Xiao
Nanne van Noord
M. Worring
37
4
0
09 Apr 2024
Identifying Spurious Correlations using Counterfactual Alignment
Joseph Paul Cohen
Louis Blankemeier
Akshay S. Chaudhari
CML
60
1
0
01 Dec 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
M. Salman Asif
33
2
0
09 Oct 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Chuntao Ding
Zhichao Lu
Shangguang Wang
Ran Cheng
Vishnu Boddeti
MoMe
34
16
0
03 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye
Dan Xu
MoE
55
26
0
28 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
Hanrong Ye
Dan Xu
ViT
43
12
0
08 Jun 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun
Xin Xu
Jiaqiang Li
Xiaochang Hu
Yifei Shi
L. Zeng
43
2
0
31 May 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Weixia Zhang
Guangtao Zhai
Ying Wei
Xiaokang Yang
Kede Ma
VLM
46
175
0
27 Mar 2023
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
64
72
0
22 Feb 2023
Semi-Structured Object Sequence Encoders
V. Rudramurthy
Riyaz Ahmad Bhat
Chulaka Gunasekara
Siva Sankalp Patel
H. Wan
Tejas I. Dhamecha
Danish Contractor
Marina Danilevsky
63
0
0
03 Jan 2023
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search
Thanh Tien Vu
Yan-Quan Zhou
Chun-Yung Wen
Yueqi Li
Jan-Michael Frahm
54
4
0
04 Oct 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
Naresh Gurulingan
Elahe Arani
Bahram Zonooz
29
1
0
19 Aug 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
33
2
0
14 Jul 2022
Medusa: Universal Feature Learning via Attentional Multitasking
Jaime Spencer
Richard Bowden
Simon Hadfield
CLL
41
1
0
12 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
52
27
0
06 Apr 2022
A Tree-Structured Multi-Task Model Recommender
Lijun Zhang
Xiao Liu
Hui Guan
LRM
VLM
42
10
0
10 Mar 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan
Neil Agarwal
Anand Iyer
Ganesh Ananthanarayanan
Yuanchao Shu
Nikolaos Karianakis
G. Xu
Ravi Netravali
55
60
0
19 Jan 2022
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Weihong Li
Xialei Liu
Hakan Bilen
58
40
0
29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning
Akihiro Nakano
Shi Chen
K. Demachi
CVBM
32
3
0
28 Nov 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-Man Cheung
33
28
0
27 Oct 2021
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Salah Ghamizi
Maxime Cordy
Mike Papadakis
Yves Le Traon
OOD
AAML
36
18
0
26 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
38
291
0
11 Oct 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
Nanqing Dong
Irina Voiculescu
FedML
32
62
0
15 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
236
241
1
10 Sep 2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
Suman Saha
Anton Obukhov
D. Paudel
Menelaos Kanakis
Yuhua Chen
Stamatios Georgoulis
Luc Van Gool
OOD
44
56
0
17 May 2021
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy
Isabel Valera
43
86
0
03 Mar 2021
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data
Nanqing Dong
Michael C. Kampffmeyer
Xiaodan Liang
Min Xu
Irina Voiculescu
Eric Xing
22
18
0
28 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
39
15
0
29 Oct 2020
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Saeed Ranjbar Alvar
Ivan V. Bajić
21
29
0
25 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
58
611
0
10 Sep 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
35
72
0
24 Jul 2020
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
23
177
0
02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee
Youngdoo Son
43
22
0
20 May 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
34
72
0
28 Apr 2020
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
46
1,182
0
19 Jan 2020
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Mihai Suteu
Yike Guo
29
59
0
14 Dec 2019
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
278
5,336
0
05 Nov 2016
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
186
526
0
27 Jun 2012
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
187
292
0
09 Mar 2009
1