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Co-learning: Learning from Noisy Labels with Self-supervision
ACM Multimedia (ACM MM), 2021
5 August 2021
Cheng Tan
Jun Xia
Lirong Wu
Stan Z. Li
NoLa
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Papers citing
"Co-learning: Learning from Noisy Labels with Self-supervision"
46 / 46 papers shown
Local K-Similarity Constraint for Federated Learning with Label Noise
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Prashant Shrestha
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P. Gyawali
Binod Bhattarai
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198
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0
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Benchmarking noisy label detection methods
Henrique Pickler
Jorge K. S. Kamassury
Danilo Silva
NoLa
277
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17 Oct 2025
Collaborative Learning of Scattering and Deep Features for SAR Target Recognition with Noisy Labels
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Zhunga Liu
Dongxiu Guo
Longfei Wang
214
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0
11 Aug 2025
ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory
Jianchao Wang
Qingfeng Li
Pengcheng Zheng
X. Pu
Yazhou Ren
NoLa
472
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0
24 Jul 2025
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
AAAI Conference on Artificial Intelligence (AAAI), 2025
CH Cho
WJ Moon
W Jun
MS Jung
JP Heo
216
9
0
09 Jun 2025
Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns
Min Je Kim
Muhammad Munsif
Altaf Hussain
Hikmat Yar
Sung Wook Baik
152
3
0
01 Jun 2025
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
Seonghwan Park
Jueun Mun
Donghyun Oh
Namhoon Lee
466
2
0
22 May 2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang
Chengliang Chai
Jingzhe Xu
Fangqiu Yi
Ye Yuan
Guoren Wang
Lei Cao
Lei Cao
NoLa
767
1
0
01 May 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
353
0
0
14 Mar 2025
Combating Semantic Contamination in Learning with Label Noise
AAAI Conference on Artificial Intelligence (AAAI), 2024
Wenxiao Fan
Kan Li
NoLa
1.2K
1
0
16 Dec 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
296
5
0
09 Sep 2024
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
F. Bougourzi
Fadi Dornaika
Chongsheng Zhang
268
0
0
25 Aug 2024
Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving Uncertainty in Dynamic Facial Expression Recognition
Haoran Wang
Xinji Mai
Zeng Tao
Xuan Tong
Junxiong Lin
...
Shaoqi Yan
Qing Zhao
Ziheng Zhou
Shuyong Gao
Wenqiang Zhang
305
1
0
24 Jun 2024
RobGC: Towards Robust Graph Condensation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Tengjiao Wang
AAML
603
10
0
19 Jun 2024
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
Cheng Tan
Dongxin Lyu
Siyuan Li
Zhangyang Gao
Jingxuan Wei
Siqi Ma
Zicheng Liu
Stan Z. Li
LLMAG
239
37
0
09 Jun 2024
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning
Cheng Tan
Jingxuan Wei
Linzhuang Sun
Zhangyang Gao
Siyuan Li
Bihui Yu
Ruifeng Guo
Stan Z. Li
ReLM
LRM
3DV
324
16
0
31 May 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
Zhenxi Song
Ruihan Qin
Huixia Ren
Zhen Liang
Yi Guo
Meishan Zhang
Zhiguo Zhang
216
3
0
29 Apr 2024
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
Paras Sheth
Tharindu Kumarage
Raha Moraffah
Amanat Chadha
Huan Liu
259
2
0
17 Apr 2024
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
Lucas Dedieu
Nicolas Nerrienet
A. Nivaggioli
Clara Simmat
Marceau Clavel
Arnaud Gauthier
Stéphane Sockeel
Rémy Peyret
NoLa
192
2
0
11 Apr 2024
Group Benefits Instances Selection for Data Purification
Zhenhuang Cai
Chuanyi Zhang
Dan Huang
Yuanbo Chen
Xiuyun Guan
Yazhou Yao
NoLa
315
0
0
23 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu
Jun-Wei Hsieh
Li Xin
Shin-You Teng
Yi-Kuan Hsieh
Ming-Ching Chang
NoLa
436
0
0
04 Mar 2024
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
Qinglai Wei
Lei Feng
Haobo Wang
Bo An
NoLa
436
3
0
24 Jan 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance
SDM (SDM), 2024
Dongyu Zhang
Ruofan Hu
Elke A. Rundensteiner
325
0
0
10 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
ACM Computing Surveys (ACM CSUR), 2024
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
274
54
0
09 Jan 2024
SemiReward: A General Reward Model for Semi-supervised Learning
International Conference on Learning Representations (ICLR), 2023
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
350
21
0
04 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
ACM Multimedia (ACM MM), 2023
Jingyang Yuan
Xiao Luo
Yifang Qin
Zhengyan Mao
Wei Ju
Ming Zhang
AAML
223
21
0
26 Sep 2023
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
IEEE Transactions on Image Processing (IEEE TIP), 2023
Yabing Wang
Shuhui Wang
Hao Luo
Jianfeng Dong
F. Wang
Meng Han
Xun Wang
Meng Wang
243
16
0
11 Sep 2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
ACM Multimedia (ACM MM), 2023
Xihong Yang
Jiaqi Jin
Siwei Wang
K. Liang
Yue Liu
Yi Wen
Suyuan Liu
Sihang Zhou
Xinwang Liu
En Zhu
488
154
0
17 Aug 2023
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework
Jingxuan Wei
Cheng Tan
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Bihui Yu
R. Guo
Stan Z. Li
LRM
426
18
0
24 Jul 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia
Lecheng Zhang
Xiao Zhu
Stan Z. Li
300
5
0
30 Jun 2023
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection
Hongyang Jiang
Jingqi Huang
Chen Tang
Xiaoqin Zhang
Mengdi Gao
Jiang-Dong Liu
178
2
0
25 Apr 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
AAAI Conference on Artificial Intelligence (AAAI), 2023
Cheng Tan
Zhangyang Gao
Lirong Wu
Jun Xia
Jiangbin Zheng
Xihong Yang
Yue Liu
Bozhen Hu
Stan Z. Li
474
16
0
21 Apr 2023
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment
Computer Vision and Pattern Recognition (CVPR), 2023
Jiangbin Zheng
Yile Wang
Cheng Tan
Siyuan Li
Ge Wang
Jun Xia
Yidong Chen
Stan Z. Li
SLR
218
104
0
10 Mar 2023
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning
IEEE transactions on multimedia (IEEE TMM), 2022
Cheng Tan
Zhangyang Gao
Siyuan Li
Stan Z. Li
VLM
AI4TS
366
40
0
22 Nov 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
ACM Multimedia (ACM MM), 2022
Manyi Zhang
Yuxin Ren
Zihao Wang
C. Yuan
354
5
0
11 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification
Lirong Wu
Jun Xia
Haitao Lin
Zhangyang Gao
Zicheng Liu
Guojiang Zhao
Stan Z. Li
585
8
0
05 Oct 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Vasileios Tsouvalas
Aaqib Saeed
T. Ozcelebi
N. Meratnia
FedML
257
28
0
19 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution
European Conference on Computer Vision (ECCV), 2022
Xuanyu Yi
Kaihua Tang
Xiansheng Hua
J. Lim
Hanwang Zhang
350
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0
27 Jul 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun Xia
Siyuan Li
Stan Z. Li
349
193
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24 Jun 2022
Hyperspherical Consistency Regularization
Computer Vision and Pattern Recognition (CVPR), 2022
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
209
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0
02 Jun 2022
Tripartite: Tackle Noisy Labels by a More Precise Partition
Xuefeng Liang
Longshan Yao
Xingyu Liu
Ying Zhou
NoLa
269
10
0
19 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
The Web Conference (WWW), 2022
Jun Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
494
412
0
07 Feb 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
425
171
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05 Oct 2021
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
European Conference on Computer Vision (ECCV), 2021
Zicheng Liu
Siyuan Li
Di Wu
Jianzhu Guo
Zhiyuan Chen
Lirong Wu
Stan Z. Li
542
103
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24 Mar 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
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1.5K
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Computer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
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Bo An
NoLa
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