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Branched Multi-Task Networks: Deciding What Layers To Share

Branched Multi-Task Networks: Deciding What Layers To Share

5 April 2019
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
64
72
0
22 Feb 2023
Semi-Structured Object Sequence Encoders
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Mihai Suteu
Yike Guo
29
59
0
14 Dec 2019
Neural Architecture Search with Reinforcement Learning
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
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
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
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