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Debiased Learning from Naturally Imbalanced Pseudo-Labels

Debiased Learning from Naturally Imbalanced Pseudo-Labels

5 January 2022
Xudong Wang
Zhi-Li Wu
Long Lian
Stella X. Yu
ArXivPDFHTML

Papers citing "Debiased Learning from Naturally Imbalanced Pseudo-Labels"

48 / 48 papers shown
Title
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou
Yuheng Jia
55
0
0
22 May 2025
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
Mingyang Song
Xiaoye Qu
Jiawei Zhou
Yu Cheng
VLM
103
1
0
17 Mar 2025
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Xinzi Cao
Xiawu Zheng
G. Wang
Weijiang Yu
Yunhang Shen
Ke Li
Yutong Lu
Yonghong Tian
CLL
143
6
0
09 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection
Combating Label Noise With A General Surrogate Model For Sample Selection
Chao Liang
Linchao Zhu
Humphrey Shi
Yi Yang
VLM
NoLa
93
2
0
31 Dec 2024
Learning Causal Transition Matrix for Instance-dependent Label Noise
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li
Tai-wei Chang
Kun Kuang
Ximing Li
Long Chen
Zhiqiang Zhang
NoLa
CML
453
0
0
18 Dec 2024
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
492
2,399
0
02 Sep 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically
  Predicting View Assignments with Support Samples
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
SSL
52
152
0
28 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
925
29,436
0
26 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
90
263
0
18 Feb 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
87
120
0
21 Jan 2021
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
Guosheng Lin
SSL
80
261
0
23 Nov 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
110
389
0
05 Oct 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad
  Momentum Causal Effect
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
98
446
0
28 Sep 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang
Hanwang Zhang
Jinhui Tang
Xiansheng Hua
Qianru Sun
CML
ISeg
95
450
0
26 Sep 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
68
76
0
09 Aug 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustment
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
120
709
0
14 Jul 2020
Zero-Shot Learning with Common Sense Knowledge Graphs
Zero-Shot Learning with Common Sense Knowledge Graphs
Nihal V. Nayak
Stephen H. Bach
VLM
96
37
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
230
4,074
0
17 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
755
41,932
0
28 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
366
18,752
0
13 Feb 2020
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
155
3,554
0
21 Jan 2020
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
307
2,386
0
11 Nov 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
229
3,490
0
30 Sep 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
562
4,345
0
23 Aug 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Agrim Gupta
Piotr Dollár
Ross B. Girshick
ISeg
VLM
103
1,369
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
121
1,602
0
18 Jun 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
142
3,029
0
06 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
132
2,316
0
29 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
151
1,160
0
10 Apr 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
104
835
0
04 Jan 2019
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Bin Liu
Zhirong Wu
Han Hu
Stephen Lin
75
62
0
20 Dec 2018
Counterfactuals uncover the modular structure of deep generative models
Counterfactuals uncover the modular structure of deep generative models
M. Besserve
Arash Mehrjou
Rémy Sun
Bernhard Schölkopf
DRL
BDL
DiffM
84
107
0
08 Dec 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael C. Kampffmeyer
Yinbo Chen
Xiaodan Liang
Hao Wang
Yujia Zhang
Eric Xing
165
306
0
29 May 2018
Additive Margin Softmax for Face Verification
Additive Margin Softmax for Face Verification
Feng Wang
Weiyang Liu
Haijun Liu
Jian Cheng
CVBM
91
1,273
0
17 Jan 2018
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
133
1,817
0
31 Aug 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
146
2,733
0
13 Apr 2017
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
330
1,274
0
06 Mar 2017
Learning Visual N-Grams from Web Data
Learning Visual N-Grams from Web Data
Ang Li
Allan Jabri
Armand Joulin
Laurens van der Maaten
VLM
64
136
0
29 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
81
1,456
0
07 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
330
8,116
0
13 Aug 2016
Regularization With Stochastic Transformations and Perturbations for
  Deep Semi-Supervised Learning
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
BDL
82
1,112
0
14 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
337
7,985
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,525
0
01 Sep 2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi
Tomas Mikolov
Samy Bengio
Y. Singer
Jonathon Shlens
Andrea Frome
G. Corrado
J. Dean
VLM
99
940
0
19 Dec 2013
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
119
2,671
0
14 Nov 2013
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDL
VLM
119
1,469
0
16 Jan 2013
Direct and Indirect Effects
Direct and Indirect Effects
Judea Pearl
CML
94
2,172
0
10 Jan 2013
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