ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.08844
  4. Cited By
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

17 July 2020
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
ArXivPDFHTML

Papers citing "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning"

16 / 16 papers shown
Title
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
Wanli Ma
Oktay Karakuş
Paul L. Rosin
153
1
0
22 Nov 2023
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
153
3,539
0
21 Jan 2020
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
Varun Nair
Javier Fuentes Alonso
Tony Beltramelli
52
26
0
18 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
87
682
0
21 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
284
2,384
0
11 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
172
1,213
0
21 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
208
3,480
0
30 Sep 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
107
837
0
08 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
107
1,594
0
18 Jun 2019
Semi-Supervised Learning by Augmented Distribution Alignment
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang
Wen Li
Luc Van Gool
57
69
0
20 May 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
124
2,314
0
29 Apr 2019
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
176
1,367
0
02 May 2018
Imbalanced Deep Learning by Minority Class Incremental Rectification
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong
S. Gong
Xiatian Zhu
42
328
0
28 Apr 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
139
1,424
0
24 Mar 2018
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
310
7,971
0
23 May 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
66
881
0
14 Aug 2015
1