Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1812.02224
Cited By
v1
v2 (latest)
Adapting Auxiliary Losses Using Gradient Similarity
5 December 2018
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Adapting Auxiliary Losses Using Gradient Similarity"
50 / 100 papers shown
Title
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
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
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
100
3
0
19 Oct 2024
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
Seokwon Shin
Hyungrok Do
Youngdoo Son
SSL
73
1
0
25 Sep 2024
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
Minghao Wu
Thuy-Trang Vu
Zhuang Li
Gholamreza Haffari
72
6
0
13 Jun 2024
α
α
α
VIL: 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
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
Irfan Mohammad Al Hasib
78
0
0
25 Apr 2024
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
Binyan Hu
•. A. K. Qin
SSL
45
0
0
11 Feb 2024
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
Vishal Dey
Xia Ning
AAML
AI4CE
71
1
0
29 Jan 2024
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
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
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
Arjun Roy
C. Koutlis
Symeon Papadopoulos
Eirini Ntoutsi
68
0
0
20 Oct 2023
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
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
Maxime Fontana
Michael W. Spratling
Miaojing Shi
85
7
0
25 Jul 2023
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Chee Hong
Kyoung Mu Lee
SupR
MQ
48
1
0
25 Jul 2023
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving
Junjun Yan
Xinhai Chen
Zhichao Wang
Enqiang Zhou
Jie Liu
PINN
AI4CE
83
1
0
12 Jul 2023
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
I. Deznabi
M. Fiterau
AI4TS
63
6
0
16 Jun 2023
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
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
A. Liu
Alla Borisyuk
48
7
0
01 Jun 2023
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
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
Alon Albalak
Colin Raffel
William Yang Wang
89
12
0
01 Feb 2023
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
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
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
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
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
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
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
Zhe Huang
Mary-Joy Sidhom
B. Wessler
M. C. Hughes
72
10
0
25 Aug 2022
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
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
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
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
Yun He
Xuening Feng
Cheng Cheng
Geng Ji
Yunsong Guo
James Caverlee
68
43
0
14 Mar 2022
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
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
Yuan Li
Yiwen Guo
Qizhang Li
Hongzhi Zhang
W. Zuo
56
0
0
06 Mar 2022
1
2
Next