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. 2102.09559
  4. Cited By
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

18 February 2021
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
    CLL
ArXivPDFHTML

Papers citing "CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning"

50 / 143 papers shown
Title
ImbaGCD: Imbalanced Generalized Category Discovery
ImbaGCD: Imbalanced Generalized Category Discovery
Ziyun Li
Ben Dai
Furkan Simsek
Christoph Meinel
Haojin Yang
29
2
0
04 Dec 2023
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small
  Expert-Labeled Tweets for Foodborne Illness Detection
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection
Ruofan Hu
Dongyu Zhang
Dandan Tao
Huayi Zhang
Hao Feng
Elke A. Rundensteiner
FedML
29
4
0
02 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric
  Learning with Autoregressive Transformers
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
Ioannis Kakogeorgiou
Spyros Gidaris
Konstantinos Karantzalos
N. Komodakis
ViT
OCL
15
12
0
01 Dec 2023
Learning Part Segmentation from Synthetic Animals
Learning Part Segmentation from Synthetic Animals
Jiawei Peng
Ju He
Prakhar Kaushik
Zihao Xiao
Jiteng Mu
Alan L. Yuille
18
1
0
30 Nov 2023
Meta Co-Training: Two Views are Better than One
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger
Dimitrios I. Diochnos
VLM
25
2
0
29 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for
  Named Entity Recognition
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
Haocheng Luo
Wei Tan
Ngoc Dang Nguyen
Lan Du
17
2
0
02 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
29
17
0
29 Oct 2023
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
Cong Wang
Xiaofeng Cao
Lanzhe Guo
Zenglin Shi
8
2
0
25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
16
3
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
25
2
0
24 Oct 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image
  Segmentation
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Haonan Wang
Xiaomeng Li
33
29
0
17 Oct 2023
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating
  Holistic Understanding of Crowd Scenes
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
Yifei Qian
Xiaopeng Hong
Zhongliang Guo
Ognjen Arandjelović
Carl R. Donovan
24
8
0
16 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery
Towards Distribution-Agnostic Generalized Category Discovery
Jianhong Bai
Zuo-Qiang Liu
Hualiang Wang
Ruizhe Chen
Lianrui Mu
Xiaomeng Li
Joey Tianyi Zhou
Yang Feng
Jian Wu
Haoji Hu
40
9
0
02 Oct 2023
Few-shot Object Detection in Remote Sensing: Lifting the Curse of
  Incompletely Annotated Novel Objects
Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects
Fahong Zhang
Yilei Shi
Zhitong Xiong
Xiaoxiang Zhu
ObjD
8
19
0
19 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
30
2
0
11 Sep 2023
Frequency-Aware Self-Supervised Long-Tailed Learning
Frequency-Aware Self-Supervised Long-Tailed Learning
Ci-Siang Lin
Min-Hung Chen
Y. Wang
18
3
0
09 Sep 2023
Towards Semi-supervised Learning with Non-random Missing Labels
Towards Semi-supervised Learning with Non-random Missing Labels
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
24
9
0
17 Aug 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence
  predictions
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Khanh-Binh Nguyen
Joon-Sung Yang
22
7
0
15 Aug 2023
Ensemble Modeling for Multimodal Visual Action Recognition
Ensemble Modeling for Multimodal Visual Action Recognition
Jyoti Kini
Sarah Fleischer
I. Dave
M. Shah
20
1
0
10 Aug 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
16
5
0
29 Jul 2023
Semi-Supervised Medical Image Segmentation with Co-Distribution
  Alignment
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang
Zhongzheng Huang
Jiawei Wu
Yuanzheng Cai
Zuoyong Li
OOD
17
0
0
24 Jul 2023
DHC: Dual-debiased Heterogeneous Co-training Framework for
  Class-imbalanced Semi-supervised Medical Image Segmentation
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
Hong Wang
X. Li
17
32
0
22 Jul 2023
Space Engage: Collaborative Space Supervision for Contrastive-based
  Semi-Supervised Semantic Segmentation
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation
Changqi Wang
Haoyu Xie
Yuhui Yuan
Chong Fu
Xiangyu Yue
VLM
22
9
0
19 Jul 2023
KEST: Kernel Distance Based Efficient Self-Training for Improving
  Controllable Text Generation
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
Yuxi Feng
Xiaoyuan Yi
L. Lakshmanan
Xing Xie
17
1
0
17 Jun 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely
  Annotated Training Data
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
13
4
0
16 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
M. Felsberg
26
0
0
07 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence
  Calibration
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
30
2
0
31 May 2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
Yuhang Zang
Kaiyang Zhou
Chen Huang
Chen Change Loy
21
13
0
24 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
Wujian Peng
Zejia Weng
Hengduo Li
Zuxuan Wu
22
0
0
22 May 2023
Semi-Supervised Graph Imbalanced Regression
Semi-Supervised Graph Imbalanced Regression
Gang Liu
Tong Zhao
Eric Inae
Te Luo
Meng-Long Jiang
24
19
0
20 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
32
15
0
04 May 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Harsh Rangwani
Shrinivas Ramasubramanian
S. Takemori
Kato Takashi
Yuhei Umeda
Venkatesh Babu Radhakrishnan
22
4
0
28 Apr 2023
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
Huanhuan Gao
Beiwen Tian
Pengfei Li
Hao Zhao
Guyue Zhou
3DPC
MQ
26
15
0
25 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee Kenneth Wong
34
16
0
14 Apr 2023
Decoupling anomaly discrimination and representation learning:
  self-supervised learning for anomaly detection on attributed graph
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Yanming Hu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
27
1
0
11 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the
  Long-Tail
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
34
12
0
31 Mar 2023
Addressing Class Variable Imbalance in Federated Semi-supervised
  Learning
Addressing Class Variable Imbalance in Federated Semi-supervised Learning
Zehui Dong
Wenjing Liu
Siyuan Liu
Xingzhi Chen
FedML
16
1
0
21 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
11
10
0
13 Mar 2023
Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
Jia-Xuan Bai
Le-Tong Huang
Wenyi Gong
Jie Guo
Yanwen Guo
26
5
0
10 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Mingyu Xu
Zheng Lian
21
1
0
06 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Sangwoo Mo
Jong-Chyi Su
Chih-Yao Ma
Mido Assran
Ishan Misra
Licheng Yu
Sean Bell
AI4TS
22
13
0
28 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node
  Classification
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Mengting Zhou
Zhiguo Gong
8
19
0
24 Feb 2023
Are labels informative in semi-supervised learning? -- Estimating and
  leveraging the missing-data mechanism
Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism
Aude Sportisse
Hugo Schmutz
O. Humbert
C. Bouveyron
Pierre-Alexandre Mattei
26
8
0
15 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
20
31
0
06 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAML
BDL
23
0
0
31 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
22
140
0
26 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
30
9
0
12 Jan 2023
Land Cover and Land Use Detection using Semi-Supervised Learning
Land Cover and Land Use Detection using Semi-Supervised Learning
Fahmida Tasnim Lisa
Md. Zarif Hossain
Sharmin Naj Mou
Shahriar Ivan
M. H. Kabir
19
1
0
21 Dec 2022
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly
  Supervised Video Anomaly Detection
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
Chen Zhang
Guorong Li
Yuankai Qi
Shuhui Wang
Laiyun Qing
Qingming Huang
Ming-Hsuan Yang
25
52
0
08 Dec 2022
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
24
31
0
05 Dec 2022
Previous
123
Next