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Learning to Branch for Multi-Task Learning

Learning to Branch for Multi-Task Learning

2 June 2020
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
ArXivPDFHTML

Papers citing "Learning to Branch for Multi-Task Learning"

31 / 31 papers shown
Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
46
0
0
08 May 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
42
0
0
12 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
49
1
0
18 Oct 2024
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Selina Khan
Nanne van Noord
46
4
0
16 Oct 2024
Multi-task Learning for Real-time Autonomous Driving Leveraging
  Task-adaptive Attention Generator
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Wonhyeok Choi
Mingyu Shin
Hyukzae Lee
Jaehoon Cho
Jaehyeon Park
Sunghoon Im
47
1
0
06 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
31
0
0
23 Feb 2024
Energizing Federated Learning via Filter-Aware Attention
Energizing Federated Learning via Filter-Aware Attention
Ziyuan Yang
Zerui Shao
Huijie Huangfu
Hui Yu
Andrew Beng Jin Teoh
Xiaoxiao Li
Hongming Shan
Yi Zhang
FedML
40
0
0
18 Nov 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
39
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
27
10
0
08 Jun 2023
FAMO: Fast Adaptive Multitask Optimization
FAMO: Fast Adaptive Multitask Optimization
B. Liu
Yihao Feng
Peter Stone
Qian Liu
33
30
0
06 Jun 2023
PanDepth: Joint Panoptic Segmentation and Depth Completion
PanDepth: Joint Panoptic Segmentation and Depth Completion
J. Lagos
Esa Rahtu
3DPC
VLM
30
1
0
29 Dec 2022
Egocentric Video Task Translation
Egocentric Video Task Translation
Zihui Xue
Yale Song
Kristen Grauman
Lorenzo Torresani
EgoV
26
13
0
13 Dec 2022
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 Vu
Yan-Quan Zhou
Chun-Yung Wen
Yueqi Li
Jan-Michael Frahm
32
4
0
04 Oct 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction
  of Epigenetic Events
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events
Mohammad Shiri
Jiangwen Sun
11
1
0
24 Sep 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
22
1
0
19 Aug 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of
  Uncertainty and Limited Field-of-View
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
V. Zimmer
A. Gómez
E. Skelton
Robert Wright
G. Wheeler
...
Jacqueline Matthew
Bernhard Kainz
Daniel Rueckert
Joseph V. Hajnal
J. Schnabel
25
22
0
29 Jun 2022
BEVerse: Unified Perception and Prediction in Birds-Eye-View for
  Vision-Centric Autonomous Driving
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Yunpeng Zhang
Zheng Hua Zhu
Wenzhao Zheng
Junjie Huang
Guan Huang
Jie Zhou
Jiwen Lu
30
187
0
19 May 2022
Medusa: Universal Feature Learning via Attentional Multitasking
Medusa: Universal Feature Learning via Attentional Multitasking
Jaime Spencer
Richard Bowden
Simon Hadfield
CLL
26
1
0
12 Apr 2022
Improving Few-Shot Part Segmentation using Coarse Supervision
Improving Few-Shot Part Segmentation using Coarse Supervision
Oindrila Saha
Zezhou Cheng
Subhransu Maji
18
12
0
11 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
28
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
24
10
0
10 Mar 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
28
73
0
11 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
42
39
0
29 Nov 2021
Multi-Task Neural Processes
Multi-Task Neural Processes
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
BDL
16
8
0
10 Nov 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
26
93
0
04 Oct 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning
Rethinking Hard-Parameter Sharing in Multi-Domain Learning
Lijun Zhang
Qizheng Yang
Xiao Liu
Hui Guan
OOD
23
14
0
23 Jul 2021
RotoGrad: Gradient Homogenization in Multitask Learning
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy
Isabel Valera
21
86
0
03 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
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
28
15
0
29 Oct 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
24
57
0
07 Oct 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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