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Adapting Auxiliary Losses Using Gradient Similarity
v1v2 (latest)

Adapting Auxiliary Losses Using Gradient Similarity

5 December 2018
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
ArXiv (abs)PDFHTML

Papers citing "Adapting Auxiliary Losses Using Gradient Similarity"

50 / 100 papers shown
Title
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui
Qi Xu
Y. Bai
Annie Qu
39
2
0
30 May 2025
OASIS: Online Sample Selection for Continual Visual Instruction Tuning
OASIS: Online Sample Selection for Continual Visual Instruction Tuning
Minjae Lee
Minhyuk Seo
Tingyu Qu
Tinne Tuytelaars
Jonghyun Choi
VLM
17
1
0
27 May 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
Dong Zhang
Kwang-Ting Cheng
MedIm
141
0
0
03 Jan 2025
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby
Justin Sasek
Samyak Parajuli
Daniel Adebi
Amy Zhang
Yuke Zhu
OffRL
68
6
0
17 Nov 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
100
3
0
19 Oct 2024
Using dynamic loss weighting to boost improvements in forecast stability
Using dynamic loss weighting to boost improvements in forecast stability
Daan Caljon
Jeff Vercauteren
Simon De Vos
Wouter Verbeke
Jente Van Belle
111
0
0
26 Sep 2024
Learning Representation for Multitask learning through Self Supervised
  Auxiliary learning
Learning Representation for Multitask learning through Self Supervised Auxiliary learning
Seokwon Shin
Hyungrok Do
Youngdoo Son
SSL
73
1
0
25 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer?
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller
Mark Dredze
Nicholas Andrews
138
1
0
26 Aug 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large
  Language Models
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
Minghao Wu
Thuy-Trang Vu
Zhuang Li
Gholamreza Haffari
72
6
0
13 Jun 2024
$α$VIL: Learning to Leverage Auxiliary Tasks for Multitask Learning
αααVIL: Learning to Leverage Auxiliary Tasks for Multitask Learning
Rafael Kourdis
Gabriel Gordon-Hall
P. Gorinski
37
0
0
13 May 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference
  Cost
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
Yuan Gao
Weizhong Zhang
Wenhan Luo
Lin Ma
Jin-Gang Yu
Gui-Song Xia
Jiayi Ma
75
1
0
09 May 2024
Grad Queue : A probabilistic framework to reinforce sparse gradients
Grad Queue : A probabilistic framework to reinforce sparse gradients
Irfan Mohammad Al Hasib
78
0
0
25 Apr 2024
Make Continual Learning Stronger via C-Flat
Make Continual Learning Stronger via C-Flat
Ang Bian
Wei Li
Hangjie Yuan
Chengrong Yu
Zixiang Zhao
Mang Wang
Aojun Lu
Tao Feng
77
12
0
01 Apr 2024
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss
Kei Iino
Shunsuke Akamatsu
Hiroshi Watanabe
Shohei Enomoto
Akira Sakamoto
Takeharu Eda
40
0
0
13 Feb 2024
Two-Stage Multi-task Self-Supervised Learning for Medical Image
  Segmentation
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation
Binyan Hu
•. A. K. Qin
SSL
45
0
0
11 Feb 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Yu-Guan Hsieh
James Thornton
Eugène Ndiaye
Michal Klein
Marco Cuturi
Pierre Ablin
MedIm
77
0
0
05 Feb 2024
Enhancing Molecular Property Prediction with Auxiliary Learning and
  Task-Specific Adaptation
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
Vishal Dey
Xia Ning
AAMLAI4CE
71
1
0
29 Jan 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
Yi-Fan Yao
Zuxin Liu
Zhepeng Cen
Peide Huang
Tingnan Zhang
Wenhao Yu
Ding Zhao
OffRL
156
6
0
23 Dec 2023
D4AM: A General Denoising Framework for Downstream Acoustic Models
D4AM: A General Denoising Framework for Downstream Acoustic Models
H. Wang
Yu Tsao
Hsin-Min Wang
Chu-Song Chen
65
4
0
28 Nov 2023
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
Junyu Gao
Xuan Yao
Changsheng Xu
TTA
136
5
0
22 Nov 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair
  Multi-Task Learning
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning
Arjun Roy
C. Koutlis
Symeon Papadopoulos
Eirini Ntoutsi
68
0
0
20 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer
Tijmen Blankevoort
B. Bejnordi
93
18
0
13 Oct 2023
Label Budget Allocation in Multi-Task Learning
Label Budget Allocation in Multi-Task Learning
Ximeng Sun
Kihyuk Sohn
Kate Saenko
Clayton Mellina
Xiao Bian
83
0
0
24 Aug 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision
  Review
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
Maxime Fontana
Michael W. Spratling
Miaojing Shi
85
7
0
25 Jul 2023
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution
  Networks
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Chee Hong
Kyoung Mu Lee
SupRMQ
48
1
0
25 Jul 2023
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based
  Partial Differential Equations Solving
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving
Junjun Yan
Xinhai Chen
Zhichao Wang
Enqiang Zhou
Jie Liu
PINNAI4CE
83
1
0
12 Jul 2023
Measuring and Mitigating Interference in Reinforcement Learning
Measuring and Mitigating Interference in Reinforcement Learning
Vincent Liu
Han Wang
Ruo Yu Tao
Khurram Javed
Adam White
Martha White
110
6
0
10 Jul 2023
MultiWave: Multiresolution Deep Architectures through Wavelet
  Decomposition for Multivariate Time Series Prediction
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction
I. Deznabi
M. Fiterau
AI4TS
63
6
0
16 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Emilie Grégoire
M. H. Chaudhary
Sam Verboven
72
2
0
07 Jun 2023
Exploring the Relationship between Alignment and Cross-lingual Transfer
  in Multilingual Transformers
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
Félix Gaschi
Patricio Cerda
Parisa Rastin
Y. Toussaint
88
13
0
05 Jun 2023
Investigating Navigation Strategies in the Morris Water Maze through
  Deep Reinforcement Learning
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning
A. Liu
Alla Borisyuk
48
7
0
01 Jun 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
141
0
0
09 May 2023
CRRS: Concentric Rectangles Regression Strategy for Multi-point
  Representation on Fisheye Images
CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images
Xihan Wang
Xi Xu
Yu Gao
Yi Yang
Yufeng Yue
M. Fu
62
0
0
26 Mar 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary
  Data
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
Alon Albalak
Colin Raffel
William Yang Wang
89
12
0
01 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian
Aviv Navon
Neta Glazer
Kenji Kawaguchi
Gal Chechik
Ethan Fetaya
84
8
0
31 Jan 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for
  Multi-Task Learning
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
Xin Dong
Ruize Wu
Chao Xiong
Hai Li
Lei Cheng
Yong He
Shiyou Qian
Jian Cao
Linjian Mo
73
5
0
31 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Junguang Jiang
Baixu Chen
Junwei Pan
Ximei Wang
Liu Dapeng
Jie Jiang
Mingsheng Long
MoMe
66
22
0
30 Jan 2023
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
92
0
0
11 Nov 2022
Auxiliary task discovery through generate-and-test
Auxiliary task discovery through generate-and-test
Banafsheh Rafiee
Sina Ghiassian
Jun Jin
R. Sutton
Jun Luo
Adam White
93
0
0
25 Oct 2022
Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic
  Weight Average and Contextual Ground Truth Sampling
Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling
Daeun Lee
Jong-Hwa Park
Jinkyu Kim
3DPC
36
0
0
07 Oct 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text
  Classification
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification
Tianyi Lei
Honghui Hu
Qiaoyang Luo
Dezhong Peng
Xu Wang
68
12
0
10 Sep 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Zhe Huang
Mary-Joy Sidhom
B. Wessler
M. C. Hughes
72
10
0
25 Aug 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
83
1
0
16 Jun 2022
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
211
96
0
31 May 2022
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
Gaoang Wang
Xiuming Zhang
Lei Li
VOT
165
17
0
22 May 2022
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the
  Teacher
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi
Hye Yoon Lee
Deokki Hong
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
MQ
101
33
0
31 Mar 2022
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient
  Magnitudes of Auxiliary Tasks
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
Yun He
Xuening Feng
Cheng Cheng
Geng Ji
Yunsong Guo
James Caverlee
68
43
0
14 Mar 2022
Deep AutoAugment
Deep AutoAugment
Yu Zheng
Zikai Zhang
Shen Yan
Mi Zhang
ViT
100
28
0
11 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
86
20
0
09 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning
On Steering Multi-Annotations per Sample for Multi-Task Learning
Yuan Li
Yiwen Guo
Qizhang Li
Hongzhi Zhang
W. Zuo
56
0
0
06 Mar 2022
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