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Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations

Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations

27 March 2020
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
ArXivPDFHTML

Papers citing "Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations"

50 / 131 papers shown
Title
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng
Han Sun
J. Liu
Ningzhong Liu
Huiyu Zhou
54
0
0
23 Apr 2025
Revisiting semi-supervised learning in the era of foundation models
Ping Zhang
Zheda Mai
Quang-Huy Nguyen
Wei-Lun Chao
50
0
0
12 Mar 2025
A Unified Framework for Heterogeneous Semi-supervised Learning
Marzi Heidari
Abdullah Alchihabi
Hao Yan
Yuhong Guo
32
0
0
01 Mar 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
A. Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
63
2
0
15 Feb 2025
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation:
  Leveraging Source-Informed Latent Augmentation within Neighborhood Context
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
Jing Wang
Wonho Bae
Jiahong Chen
Kuangen Zhang
Leonid Sigal
C. D. Silva
108
1
0
18 Dec 2024
Feature Fusion Transferability Aware Transformer for Unsupervised Domain
  Adaptation
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
Xiaowei Yu
Zhe Huang
Zao Zhang
ViT
26
1
0
10 Nov 2024
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised
  3D Domain Adaptation
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Björn Michele
Alexandre Boulch
Tuan-Hung Vu
Gilles Puy
Renaud Marlet
Nicolas Courty
TTA
33
0
0
06 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation
  Using Estimated Accuracy
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
29
0
0
06 Sep 2024
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
Wenlve Zhou
Zhiheng Zhou
VLM
38
6
0
05 Aug 2024
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition
Haoqin Sun
Shiwan Zhao
Xiangyu Kong
Xuechen Wang
Hui Wang
Jiaming Zhou
Yong Qin
23
4
0
01 Aug 2024
Gradient Harmonization in Unsupervised Domain Adaptation
Gradient Harmonization in Unsupervised Domain Adaptation
Fuxiang Huang
Suqi Song
Lei Zhang
22
7
0
01 Aug 2024
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised
  Vision Transformer
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer
Ali Abedi
Q. M. Jonathan Wu
Ning Zhang
Farhad Pourpanah
31
0
0
31 Jul 2024
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
Jinjing Zhu
Yucheng Chen
Lin Wang
VLM
48
3
0
01 Jul 2024
Geometric Understanding of Discriminability and Transferability for
  Visual Domain Adaptation
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Xiao-Lin Xu
Qingshan Liu
47
1
0
24 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
37
0
0
14 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label
  Encoding Perspective
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective
Yulong Zhang
Yuan Yao
Shuhao Chen
Pengrong Jin
Yu Zhang
Jian Jin
Jiangang Lu
35
1
0
05 Jun 2024
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain
  Adaptation
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
Shanshan Wang
Hao Zhou
Xun Yang
Zhenwei He
Meng Wang
Xingyi Zhang
Meng Wang
24
0
0
28 May 2024
High-order Neighborhoods Know More: HyperGraph Learning Meets
  Source-free Unsupervised Domain Adaptation
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation
Jinkun Jiang
Qingxuan Lv
Yuezun Li
Yong Du
Sheng Chen
Hui Yu
Junyu Dong
33
0
0
11 May 2024
Adversarial Reweighting with $α$-Power Maximization for Domain
  Adaptation
Adversarial Reweighting with ααα-Power Maximization for Domain Adaptation
Xiang Gu
Xi Yu
Yan Yang
Jian Sun
Zongben Xu
41
0
0
26 Apr 2024
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image
  Recognition
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
Hao Feng
Yuanzhe Jia
Ruijia Xu
Mukesh Prasad
Ali Anaissi
Ali Braytee
19
3
0
16 Apr 2024
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific
  Boundaries for Domain Adaptation
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
Ba-Hung Ngo
Nhat-Tuong Do-Tran
Tuan-Ngoc Nguyen
Hae-Gon Jeon
Tae Jong Choi
26
5
0
27 Mar 2024
Transfer Learning for Cross-dataset Isolated Sign Language Recognition
  in Under-Resourced Datasets
Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets
A. Kındıroglu
Ozgur Kara
Ogulcan Özdemir
L. Akarun
SLR
35
3
0
21 Mar 2024
Towards Robustness and Diversity: Continual Learning in Dialog
  Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Zihan Wang
Jiayu Xiao
Mengxian Li
Zhongjiang He
Yongxiang Li
Chao Wang
Shuangyong Song
16
0
0
16 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
26
1
0
12 Mar 2024
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Runhua Jiang
Yahong Han
DiffM
OODD
34
0
0
09 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via
  Bi-directional Adaptation
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
Zhen Zhang
Meihan Liu
Anhui Wang
Hongyang Chen
Zhao Li
Jiajun Bu
Bingsheng He
TTA
31
10
0
03 Mar 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented
  Domain Adaptation
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation
Li Ren
Chen Chen
Liqiang Wang
Kien Hua
31
7
0
01 Jan 2024
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
23
0
0
21 Nov 2023
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate
  Time-Series Unsupervised Domain Adaptation
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
Yucheng Wang
Yuecong Xu
Jianfei Yang
Min-man Wu
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
18
0
0
17 Nov 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial
  Network for an end-to-end image translation
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad
Fabio Zambetta
Flora D. Salim
Timothy Wiley
Jeffrey Chan
Russell Gallagher
Ehsan Abbasnejad
GAN
11
0
0
07 Nov 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Zhiqing Xiao
Haobo Wang
Ying Jin
Lei Feng
Gang Chen
Fei Huang
Junbo Zhao
32
15
0
26 Oct 2023
SIDE: Self-supervised Intermediate Domain Exploration for Source-free
  Domain Adaptation
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation
Jiamei Liu
Han Sun
Yizhen Jia
Jie Qin
Huiyu Zhou
Ningzhong Liu
TTA
32
0
0
13 Oct 2023
Learning Transferable Conceptual Prototypes for Interpretable
  Unsupervised Domain Adaptation
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation
Junyu Gao
Xinhong Ma
Changsheng Xu
26
4
0
12 Oct 2023
NoisyNN: Exploring the Influence of Information Entropy Change in
  Learning Systems
NoisyNN: Exploring the Influence of Information Entropy Change in Learning Systems
Xiao-Xing Yu
Zhe Huang
Yao Xue
Lu Zhang
Li Wang
Tianming Liu
Dajiang Zhu
16
6
0
19 Sep 2023
Better Practices for Domain Adaptation
Better Practices for Domain Adaptation
Linus Ericsson
Da Li
Timothy M. Hospedales
AI4CE
TTA
27
4
0
07 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
28
11
0
01 Sep 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang
G. Lee
DiffM
26
2
0
20 Aug 2023
A Study of Unsupervised Evaluation Metrics for Practical and Automatic
  Domain Adaptation
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation
Minghao Chen
Ze-Feng Gao
Shuai Zhao
Qibo Qiu
Wenxiao Wang
Binbin Lin
Xiaofei He
23
1
0
01 Aug 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty
  Calibration in Domain Adaptation
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
18
0
0
14 Jul 2023
Addressing the Rank Degeneration in Sequential Recommendation via
  Singular Spectrum Smoothing
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing
Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S. Yu
30
1
0
21 Jun 2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype
  Alignment
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Hongbin Lin
Mingkui Tan
Yifan Zhang
Zhen Qiu
Shuaicheng Niu
Dong Liu
Qing Du
Yanxia Liu
51
0
0
22 May 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
29
202
0
27 Mar 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game
  Perspective
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
Jinjing Zhu
Haotian Bai
Lin Wang
ViT
77
72
0
23 Mar 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Can Qin
Ning Yu
Chen Xing
Shu Zhen Zhang
Zeyuan Chen
Stefano Ermon
Yun Fu
Caiming Xiong
Ran Xu
DiffM
38
19
0
17 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare
  Supervised Learning and Downstream Domain Adaptation
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
Hui Tang
K. Jia
OOD
28
13
0
16 Mar 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Hui Tang
Yaowei Wang
K. Jia
OOD
17
43
0
23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
H. Shen
TTA
21
94
0
23 Feb 2023
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised
  Domain Adaptation
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation
Yumin Zhang
Yajun Gao
Hongliu Li
Ating Yin
Duzhen Zhang
Xiuyi Chen
29
0
0
03 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for
  Unsupervised Accuracy Estimation
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng
Yumin Suh
Stephen Gould
Liang Zheng
UQCV
23
12
0
02 Feb 2023
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