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When Multi-Task Learning Meets Partial Supervision: A Computer Vision
  Review

When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review

25 July 2023
Maxime Fontana
Michael W. Spratling
Miaojing Shi
ArXivPDFHTML

Papers citing "When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review"

15 / 15 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
44
0
0
08 May 2025
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token
  Matching
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Donggyun Kim
Jinwoo Kim
Seongwoong Cho
Chong Luo
Seunghoon Hong
VLM
38
23
0
27 Mar 2023
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin
Behrooz Ghorbani
Ankush Garg
Orhan Firat
Justin Gilmer
MoMe
67
61
0
23 Sep 2022
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale
  Multitask Learning Systems
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
Andrea Gesmundo
J. Dean
28
23
0
25 May 2022
MulT: An End-to-End Multitask Learning Transformer
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee
Tong Zhang
Sabine Süsstrunk
Mathieu Salzmann
ViT
29
62
0
17 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Semi-supervised Multi-task Learning for Semantics and Depth
Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang
Yi-Hsuan Tsai
Wei-Chih Hung
Wenrui Ding
Shuo Liu
Ming-Hsuan Yang
16
18
0
14 Oct 2021
Multi-Task Learning in Natural Language Processing: An Overview
Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen
Yu Zhang
Qiang Yang
AIMat
39
98
0
19 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
201
235
1
10 Sep 2021
Multi-task Learning with Attention for End-to-end Autonomous Driving
Multi-task Learning with Attention for End-to-end Autonomous Driving
Keishi Ishihara
Anssi Kanervisto
J. Miura
Ville Hautamaki
34
59
0
21 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 2021
Controllable Pareto Multi-Task Learning
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
61
72
0
13 Oct 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
177
523
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
176
292
0
09 Mar 2009
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