Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2102.12903
Cited By
Self-Tuning for Data-Efficient Deep Learning
25 February 2021
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
BDL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Self-Tuning for Data-Efficient Deep Learning"
37 / 37 papers shown
Title
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
Avraham Chapman
Haiming Xu
Lingqiao Liu
31
0
0
03 Sep 2024
Reciprocal Learning
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
32
0
0
12 Aug 2024
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
31
0
0
20 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
32
1
0
19 Jun 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan
Tong Wei
36
10
0
20 May 2024
Incremental Self-training for Semi-supervised Learning
Member Ieee Jifeng Guo
Zhulin Liu
Senior Member Ieee Tong Zhang
F. I. C. L. Philip Chen
CLL
33
3
0
14 Apr 2024
CYCLE: Learning to Self-Refine the Code Generation
Yangruibo Ding
Marcus J. Min
Gail E. Kaiser
Baishakhi Ray
33
29
0
27 Mar 2024
Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma
Shuang Li
Lincan Cai
Jingxuan Kang
37
4
0
15 Nov 2023
Test-Time Training for Semantic Segmentation with Output Contrastive Loss
Yunlong Zhang
Yuxuan Sun
Sunyi Zheng
Zhongyi Shui
Chenglu Zhu
Lin Yang
VLM
19
3
0
14 Nov 2023
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
30
9
0
04 Oct 2023
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models
Hai-Ming Xu
Lingqiao Liu
Hao Chen
Ehsan Abbasnejad
Rafael Felix
23
0
0
09 Sep 2023
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
Hanjun Li
Xiujun Shu
Su He
Ruizhi Qiao
Wei Wen
Taian Guo
Bei Gan
Xing Sun
12
11
0
08 Aug 2023
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi
Francesco Tonolini
Nikolaos Aletras
Emine Yilmaz
G. Kazai
Yunlong Jiao
27
17
0
22 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Zhengxiang Shi
Aldo Lipani
VLM
CLL
29
21
0
02 May 2023
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information
Lai Qi
ChiMan Vong
WSOD
21
2
0
27 Apr 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
Han Liu
Zhoubing Xu
Riqiang Gao
Hao Li
J. Wang
G. Chabin
I. Oguz
Sasa Grbic
33
17
0
27 Apr 2023
Fine-Grained Classification with Noisy Labels
Qi Wei
Lei Feng
Haoliang Sun
Ren Wang
Chenhui Guo
Yilong Yin
NoLa
103
19
0
04 Mar 2023
Discovering New Intents Using Latent Variables
Yunhua Zhou
Peiju Liu
Yuxin Wang
Xipeng QIu
19
1
0
21 Oct 2022
Adversarial Lagrangian Integrated Contrastive Embedding for Limited Size Datasets
Amin Jalali
Minho Lee
16
8
0
06 Oct 2022
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning
Tianfang Sun
Zhizhong Zhang
Xin Tan
Yanyun Qu
Yuan Xie
Lizhuang Ma
3DPC
24
11
0
16 Sep 2022
Visual Recognition with Deep Nearest Centroids
Wenguan Wang
Cheng Han
Tianfei Zhou
Dongfang Liu
49
91
0
15 Sep 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Y. Li
OOD
28
9
0
19 Aug 2022
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
Yangyang Shu
B. Yu
Hai-Ming Xu
Lingqiao Liu
18
26
0
01 Aug 2022
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
19
0
30 Jul 2022
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
28
24
0
02 Jun 2022
Semi-supervised Drifted Stream Learning with Short Lookback
Wei-Ya Ren
Pengyang Wang
Xiaolin Li
C. Hughes
Yanjie Fu
AI4TS
24
15
0
25 May 2022
Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime
Xun Xu
Jingyi Liao
Lile Cai
M. Nguyen
Kangkang Lu
Wanyue Zhang
Yasin Yazici
Chuan-Sheng Foo
13
6
0
06 May 2022
SIOD: Single Instance Annotated Per Category Per Image for Object Detection
Hanjun Li
Xingjia Pan
Ke Yan
Fan Tang
Weihao Zheng
25
18
0
29 Mar 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
51
18
0
21 Mar 2022
From Big to Small: Adaptive Learning to Partial-Set Domains
Zhangjie Cao
Kaichao You
Ziyang Zhang
Jianmin Wang
Mingsheng Long
CLL
6
23
0
14 Mar 2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Xiangde Luo
Minhao Hu
Wenjun Liao
Shuwei Zhai
Tao Song
Guotai Wang
Shaoting Zhang
31
97
0
04 Mar 2022
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
24
85
0
15 Feb 2022
Improving Compound Activity Classification via Deep Transfer and Representation Learning
Vishal Dey
R. Machiraju
Xia Ning
AAML
9
3
0
14 Nov 2021
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
Wasu Top Piriyakulkij
Cristina Menghini
Ross Briden
Nihal V. Nayak
Jeffrey Zhu
Elaheh Raisi
Stephen H. Bach
VLM
12
1
0
08 Nov 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
30
10
0
14 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang
Xinyang Chen
Jianmin Wang
Mingsheng Long
19
1
0
09 Oct 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 2017
1