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2409.16651
Cited By
Learning Representation for Multitask learning through Self Supervised Auxiliary learning
25 September 2024
Seokwon Shin
Hyungrok Do
Youngdoo Son
SSL
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Papers citing
"Learning Representation for Multitask learning through Self Supervised Auxiliary learning"
27 / 27 papers shown
Title
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian
Aviv Navon
Neta Glazer
Kenji Kawaguchi
Gal Chechik
Ethan Fetaya
63
8
0
31 Jan 2023
Task Compass: Scaling Multi-task Pre-training with Task Prefix
Zhuosheng Zhang
Shuohang Wang
Yichong Xu
Yuwei Fang
Wenhao Yu
Yang Liu
Han Zhao
Chenguang Zhu
Michael Zeng
SSL
LRM
59
16
0
12 Oct 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
129
277
0
04 Apr 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
88
75
0
07 Feb 2022
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
125
27
0
06 Oct 2021
Part-aware Panoptic Segmentation
Daan de Geus
Panagiotis Meletis
Chenyang Lu
Xiaoxiao Wen
Gijs Dubbelman
93
62
0
11 Jun 2021
Multi-task Learning with Attention for End-to-end Autonomous Driving
Keishi Ishihara
Anssi Kanervisto
J. Miura
Ville Hautamaki
97
63
0
21 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,564
0
25 Mar 2021
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
66
123
0
12 Dec 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
192
1,358
0
03 Oct 2020
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
174
1,221
0
19 Jan 2020
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
85
351
0
30 Dec 2019
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
288
1,211
0
24 Dec 2019
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
155
716
0
25 Jan 2019
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
78
158
0
05 Dec 2018
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
204
4,361
0
24 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
179
3,465
0
05 May 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Elliot Meyerson
Risto Miikkulainen
60
45
0
11 Mar 2018
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
156
2,830
0
15 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,135
0
19 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
825
11,937
0
09 Mar 2017
Age Progression/Regression by Conditional Adversarial Autoencoder
Zhifei Zhang
Yang Song
Hairong Qi
GAN
CVBM
77
1,117
0
27 Feb 2017
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
267
4,672
0
17 Feb 2017
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
157
3,774
0
23 Nov 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,641
0
06 Apr 2016
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
269
12,456
0
24 Jun 2012
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