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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
v1v2v3v4 (latest)

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

European Conference on Computer Vision (ECCV), 2020
19 July 2020
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
ArXiv (abs)PDFHTMLGithub (368★)

Papers citing "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"

50 / 117 papers shown
Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
Wei Tang
Zuo-Zheng Wang
Kun Zhang
Tong Wei
Min-Ling Zhang
VLM
272
0
0
25 Nov 2025
Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
Canran Xiao
Chuangxin Zhao
Zong Ke
Fei Shen
158
4
0
20 Oct 2025
MAT-Agent: Adaptive Multi-Agent Training Optimization
MAT-Agent: Adaptive Multi-Agent Training Optimization
Jusheng Zhang
Kaitong Cai
Yijia Fan
Ningyuan Liu
Keze Wang
212
38
0
10 Oct 2025
Long-tailed Recognition with Model Rebalancing
Long-tailed Recognition with Model Rebalancing
Jiaan Luo
Feng Hong
Qiang Hu
Xiaofeng Cao
Feng Liu
Jiangchao Yao
189
3
0
09 Oct 2025
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2025
Sheng Huang
Jiexuan Yan
B. Liu
Bo Liu
Richang Hong
VLM
182
2
0
22 Sep 2025
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Dumindu Tissera
Omar Awadallah
Muhammad Umair Danish
Ayan Sadhu
Katarina Grolinger
217
0
0
06 Jun 2025
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin TransformerIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Xinran Li
Yu Liu
Xiujuan Xu
Xiaowei Zhao
ViTMedIm
355
2
0
16 May 2025
Leveraging LLMs for Multimodal Retrieval-Augmented Radiology Report Generation via Key Phrase Extraction
Leveraging LLMs for Multimodal Retrieval-Augmented Radiology Report Generation via Key Phrase Extraction
Kyoyun Choi
Byungmu Yoon
Soobum Kim
Jonggwon Park
421
2
0
10 Apr 2025
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence RerankingJournal of Artificial Intelligence Research (JAIR), 2025
Yan Yan
Junyuan Liu
Bo Zhang
266
3
0
11 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
430
3
0
01 Mar 2025
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Balanced Representation Learning for Long-tailed Skeleton-based Action RecognitionMachine Intelligence Research (MIR), 2023
Hongda Liu
Yunlong Wang
Min Ren
Junxing Hu
Zhengquan Luo
Guangqi Hou
Zhe Sun
364
5
0
24 Feb 2025
Making Reliable and Flexible Decisions in Long-tailed Classification
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li
Ruqi Zhang
971
0
0
23 Jan 2025
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and AnticipationComputer Vision and Pattern Recognition (CVPR), 2024
Rohith Peddi
Saurabh
Ayush Abhay Shrivastava
Parag Singla
Vibhav Gogate
454
4
0
20 Nov 2024
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and InterpretationIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
542
11
0
07 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
J. B. Graham-Knight
Jamil Fayyad
Nourhan Bayasi
Patricia Lasserre
Homayoun Najjaran
527
0
0
04 Nov 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
379
0
0
02 Oct 2024
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Ching-Wen Yang
Zhi-Quan Feng
Ying-Jia Lin
Che-Wei Chen
Kun-da Wu
Hao Xu
Jui-Feng Yao
Hung-Yu Kao
LRMVLM
288
3
0
19 Aug 2024
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label
  Image Classification
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationACM Multimedia (MM), 2024
Jiexuan Yan
Sheng Huang
Nankun Mu
Luwen Huangfu
Bo Liu
VLM
260
12
0
15 Aug 2024
Text-Region Matching for Multi-Label Image Recognition with Missing
  Labels
Text-Region Matching for Multi-Label Image Recognition with Missing Labels
Leilei Ma
Hongxing Xie
Lei Wang
Yanping Fu
Dengdi Sun
Haifeng Zhao
VLM
416
10
0
26 Jul 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of
  Class-Balanced Loss Functions
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo
Yuan Yuan
Shixin Xu
AI4CE
313
27
0
19 Jul 2024
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures
  for Multi-Label Classification
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
Zitai Wang
Qianqian Xu
Zhiyong Yang
Peisong Wen
Yuan He
Xiaochun Cao
Qingming Huang
168
2
0
09 Jul 2024
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale
  Patch-based Multi-Label Classifier
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
Prantik Howlader
Srijan Das
Hieu M. Le
Dimitris Samaras
381
15
0
04 Jul 2024
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP
  Aligned Representation
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation
Muhammad Ali
Salman Khan
VLM
386
29
0
21 Jun 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 Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
279
2
0
20 Jun 2024
Topicwise Separable Sentence Retrieval for Medical Report Generation
Topicwise Separable Sentence Retrieval for Medical Report Generation
Junting Zhao
Yang Zhou
Zhihao Chen
Huazhu Fu
Liang Wan
MedIm
296
3
0
07 May 2024
Counterfactual Reasoning for Multi-Label Image Classification via
  Patching-Based Training
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingInternational Conference on Machine Learning (ICML), 2024
Ming-Kun Xie
Jia-Hao Xiao
Pei Peng
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
336
10
0
09 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
357
23
0
29 Mar 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual
  Explanations
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
Lirui Luo
Guoxi Zhang
Hongming Xu
Yaodong Yang
Cong Fang
Qing Li
696
17
0
19 Mar 2024
LEGION: Harnessing Pre-trained Language Models for GitHub Topic
  Recommendations with Distribution-Balance Loss
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance LossInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2024
Yen-Trang Dang
Thanh Le-Cong
Phuc-Thanh Nguyen
Anh M. T. Bui
Phuong T. Nguyen
Bach Le
Quyet-Thang Huynh
243
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0
09 Mar 2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic
  Segmentation
SFC: Shared Feature Calibration in Weakly Supervised Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2024
Xinqiao Zhao
Feilong Tang
Xiaoyang Wang
Jimin Xiao
387
60
0
22 Jan 2024
On the selection and effectiveness of pseudo-absences for species
  distribution modeling with deep learning
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learningEcological Informatics (Ecol. Inform.), 2024
Robin Zbinden
Nina Van Tiel
B. Kellenberger
L. Hughes
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264
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FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
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Yu-Gang Jiang
Chong-Wah Ngo
298
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TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary
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Yuqi Lin
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Hengjia Li
Mingming Li
Zheng Yang
Dongqin Lv
Binbin Lin
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Deng Cai
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266
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Toward Robustness in Multi-label Classification: A Data Augmentation
  Strategy against Imbalance and Noise
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and NoiseAAAI Conference on Artificial Intelligence (AAAI), 2023
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Minseok Kim
Jae-Gil Lee
258
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Jointly spatial-temporal representation learning for individual trajectories
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Jianrong Lv
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670
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SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection
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Action-slot: Visual Action-centric Representations for Multi-label
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Shu-Wei Lu
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438
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Long-tailed multi-label classification with noisy label of thoracic
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238
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Scalable Label Distribution Learning for Multi-Label Classification
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