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Self-Tuning for Data-Efficient Deep Learning

Self-Tuning for Data-Efficient Deep Learning

25 February 2021
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
    BDL
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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