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One Positive Label is Sufficient: Single-Positive Multi-Label Learning
  with Label Enhancement
v1v2v3v4 (latest)

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement

Neural Information Processing Systems (NeurIPS), 2022
1 June 2022
Ning Xu
Congyu Qiao
Jiaqi Lv
Xin Geng
Min-Ling Zhang
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement"

18 / 18 papers shown
Merlin L48 Spectrogram Dataset
Merlin L48 Spectrogram Dataset
Aaron Sun
Subhransu Maji
Grant Van Horn
101
0
0
31 Oct 2025
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
Yiming Lin
Shang Wang
Junkai Zhou
Qiufeng Wang
Xiao-Bo Jin
K. Huang
153
0
0
17 Oct 2025
Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
Zhiqiang Kou
Junyang Chen
Xin-Qiang Cai
Ming-Kun Xie
B. Liu
...
Lei Feng
Yuheng Jia
Gang Niu
Masashi Sugiyama
Xin Geng
ELM
201
0
0
16 Oct 2025
Least-Ambiguous Multi-Label Classifier
Least-Ambiguous Multi-Label Classifier
Misgina Tsighe Hagos
Claes Lundström
95
0
0
12 Sep 2025
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
Yiming Lin
Yuchen Niu
Shang Wang
K. Huang
Qiufeng Wang
Xiao-Bo Jin
169
0
0
29 Aug 2025
More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning
More Reliable Pseudo-labels, Better Performance: A Generalized Approach to Single Positive Multi-label Learning
Luong Tran
Thieu Vo
A. Nguyen
Sang Dinh
Van Nguyen
VLM
164
0
0
28 Aug 2025
Probability-density-aware Semi-supervised Learning
Probability-density-aware Semi-supervised Learning
Shuyang Liu
Ruiqiu Zheng
Chunjiang Ge
Ke Li
Xing Sun
Zhou Yu
Shaohui Lin
354
0
0
08 Jan 2025
A Survey on Incomplete Multi-label Learning: Recent Advances and Future
  Trends
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
Xiang Li
Jiexi Liu
Xinrui Wang
Songcan Chen
AI4TS
405
1
0
10 Jun 2024
Learning from True-False Labels via Multi-modal Prompt Retrieving
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li
Jinghao Xu
Peng Ying
Meng Wei
Tongfeng Sun
300
1
0
24 May 2024
Boosting Single Positive Multi-label Classification with Generalized
  Robust Loss
Boosting Single Positive Multi-label Classification with Generalized Robust LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Yanxi Chen
Chunxiao Li
Xinyang Dai
Jinhuan Li
Weiyu Sun
Yiming Wang
Renyuan Zhang
Tinghe Zhang
Bo Wang
309
10
0
06 May 2024
Determined Multi-Label Learning via Similarity-Based Prompt
Determined Multi-Label Learning via Similarity-Based Prompt
Meng Wei
Zhongnian Li
Peng Ying
Yong Zhou
Xinzheng Xu
303
0
0
25 Mar 2024
Multi-label Learning from Privacy-Label
Multi-label Learning from Privacy-Label
Zhongnian Li
Haotian Ren
Tongfeng Sun
Zhichen Li
290
0
0
20 Dec 2023
Scalable Label Distribution Learning for Multi-Label Classification
Scalable Label Distribution Learning for Multi-Label ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Xingyu Zhao
Yuexuan An
Lei Qi
Xin Geng
158
6
0
28 Nov 2023
Can Class-Priors Help Single-Positive Multi-Label Learning?
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu
N. Xu
Jie Wang
Xin Geng
263
2
0
25 Sep 2023
Understanding Label Bias in Single Positive Multi-Label Learning
Understanding Label Bias in Single Positive Multi-Label Learning
Julio Arroyo
Pietro Perona
Elijah Cole
304
3
0
24 May 2023
Deep Partial Multi-Label Learning with Graph Disambiguation
Deep Partial Multi-Label Learning with Graph DisambiguationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Haobo Wang
Shisong Yang
Gengyu Lyu
Weiwei Liu
Tianlei Hu
Ke Chen
Songhe Feng
Gang Chen
176
16
0
10 May 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From
  Single Positive to Full Labels
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full LabelsScience China Information Sciences (Sci China Inf Sci), 2023
Xiang Li
Xinrui Wang
Songcan Chen
195
1
0
28 Feb 2023
Progressive Purification for Instance-Dependent Partial Label Learning
Progressive Purification for Instance-Dependent Partial Label LearningInternational Conference on Machine Learning (ICML), 2022
Ning Xu
Biao Liu
Jiaqi Lv
Congyu Qiao
Xin Geng
236
27
0
02 Jun 2022
1
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