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Auxiliary Task Reweighting for Minimum-data Learning

Auxiliary Task Reweighting for Minimum-data Learning

16 October 2020
Baifeng Shi
Judy Hoffman
Kate Saenko
Trevor Darrell
Huijuan Xu
    MoMe
ArXivPDFHTML

Papers citing "Auxiliary Task Reweighting for Minimum-data Learning"

20 / 20 papers shown
Title
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining
Weizhen He
Yunfeng Yan
Shixiang Tang
Yiheng Deng
Yangyang Zhong
Pengxin Luo
Donglian Qi
VLM
94
1
0
29 Apr 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
Dong Zhang
Kwang-Ting Cheng
MedIm
20
0
0
03 Jan 2025
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
29
1
0
09 May 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
19
0
0
11 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
AAML
AI4CE
19
0
0
29 Jan 2024
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
13
4
0
28 Nov 2023
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic
  Newton Methods
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
24
5
0
23 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
35
8
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
29
19
0
30 Jan 2023
Optimization with Access to Auxiliary Information
Optimization with Access to Auxiliary Information
El Mahdi Chayti
Sai Praneeth Karimireddy
AAML
9
10
0
01 Jun 2022
AANG: Automating Auxiliary Learning
AANG: Automating Auxiliary Learning
Lucio Dery
Paul Michel
M. Khodak
Graham Neubig
Ameet Talwalkar
36
9
0
27 May 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Adaptive Mixing of Auxiliary Losses in Supervised Learning
D. Sivasubramanian
Ayush Maheshwari
Pradeep Shenoy
A. Prathosh
Ganesh Ramakrishnan
23
5
0
07 Feb 2022
Auxiliary Learning for Self-Supervised Video Representation via
  Similarity-based Knowledge Distillation
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Amirhossein Dadashzadeh
Alan Whone
Majid Mirmehdi
SSL
13
4
0
07 Dec 2021
Auxiliary Loss Reweighting for Image Inpainting
Auxiliary Loss Reweighting for Image Inpainting
Siqi Hui
Sanping Zhou
Ye Deng
Wenli Huang
Jinjun Wang
32
1
0
14 Nov 2021
Linear Speedup in Personalized Collaborative Learning
Linear Speedup in Personalized Collaborative Learning
El Mahdi Chayti
Sai Praneeth Karimireddy
Sebastian U. Stich
Nicolas Flammarion
Martin Jaggi
FedML
15
13
0
10 Nov 2021
Conflict-Averse Gradient Descent for Multi-task Learning
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu
Xingchao Liu
Xiaojie Jin
Peter Stone
Qiang Liu
33
297
0
26 Oct 2021
Multiple Instance Learning with Auxiliary Task Weighting for Multiple
  Myeloma Classification
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Talha Qaiser
S. Winzeck
Theodore Barfoot
T. Barwick
S. Doran
...
N. Tunariu
D. Koh
C. Messiou
A. Rockall
Ben Glocker
16
8
0
16 Jul 2021
Hyperspectral Image Super-Resolution with Spectral Mixup and
  Heterogeneous Datasets
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
Ke Li
Dengxin Dai
E. Konukoglu
Luc Van Gool
22
7
0
19 Jan 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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