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Multi-Label Learning from Single Positive Labels
Computer Vision and Pattern Recognition (CVPR), 2021
17 June 2021
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
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Papers citing
"Multi-Label Learning from Single Positive Labels"
50 / 76 papers shown
Merlin L48 Spectrogram Dataset
Aaron Sun
Subhransu Maji
Grant Van Horn
71
0
0
31 Oct 2025
Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
Yiming Lin
Shang Wang
Junkai Zhou
Qiufeng Wang
Xiao-Bo Jin
K. Huang
128
0
0
17 Oct 2025
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
178
0
0
16 Oct 2025
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
Chenying Liu
Gianmarco Perantoni
Lorenzo Bruzzone
Xiao Xiang Zhu
132
0
0
09 Oct 2025
Rethinking Consistent Multi-Label Classification under Inexact Supervision
Wei Wang
Tianhao Ma
Ming-Kun Xie
Gang Niu
Masashi Sugiyama
175
0
0
05 Oct 2025
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing
Conference and Labs of the Evaluation Forum (CLEF), 2025
Christophe Botella
Benjamin Deneu
Diego Marcos
Maximilien Servajean
Théo Larcher
César Leblanc
Joaquim Estopinan
P. Bonnet
Alexis Joly
89
18
0
30 Sep 2025
Least-Ambiguous Multi-Label Classifier
Misgina Tsighe Hagos
Claes Lundström
72
0
0
12 Sep 2025
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
143
0
0
29 Aug 2025
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
88
0
0
28 Aug 2025
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Dumindu Tissera
Omar Awadallah
Muhammad Umair Danish
Ayan Sadhu
Katarina Grolinger
189
0
0
06 Jun 2025
The iNaturalist Sounds Dataset
Neural Information Processing Systems (NeurIPS), 2025
Mustafa Chasmai
Alexander Shepard
Subhransu Maji
Grant Van Horn
275
18
0
31 May 2025
Semantic-guided Representation Learning for Multi-Label Recognition
Ruhui Zhang
Hezhe Qiao
Pengcheng Xu
Mingsheng Shang
Lin Chen
256
2
0
04 Apr 2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Computer Vision and Pattern Recognition (CVPR), 2025
Dongseob Kim
Hyunjung Shim
VLM
349
0
0
21 Mar 2025
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Samyak Rawlekar
Shubhang Bhatnagar
Narendra Ahuja
VLM
281
1
0
12 Sep 2024
Generating Binary Species Range Maps
Filip Dorm
Christian Lange
S. Loarie
Oisin Mac Aodha
322
5
0
28 Aug 2024
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jia-Hao Xiao
Ming-Kun Xie
Heng-Bo Fan
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
254
0
0
26 Jul 2024
Text-Region Matching for Multi-Label Image Recognition with Missing Labels
Leilei Ma
Hongxing Xie
Lei Wang
Yanping Fu
Dengdi Sun
Haifeng Zhao
VLM
322
10
0
26 Jul 2024
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness
Xin Zhang
Yuqi Song
Wyatt McCurdy
Xiang Wang
Fei Zuo
AAML
175
0
0
24 Jul 2024
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
157
2
0
09 Jul 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
Zixia Jia
Junpeng Li
Shichuan Zhang
Hoang Trung-Dung
Zilong Zheng
188
5
0
24 Jun 2024
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
Xiang Li
Jiexi Liu
Xinrui Wang
Songcan Chen
AI4TS
377
0
0
10 Jun 2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
International 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
274
8
0
06 May 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
335
6
0
24 Apr 2024
Determined Multi-Label Learning via Similarity-Based Prompt
Meng Wei
Zhongnian Li
Peng Ying
Yong Zhou
Xinzheng Xu
256
0
0
25 Mar 2024
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
Robin Zbinden
Nina Van Tiel
M. Rußwurm
D. Tuia
173
4
0
12 Mar 2024
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
Ecological Informatics (Ecol. Inform.), 2024
Robin Zbinden
Nina Van Tiel
B. Kellenberger
L. Hughes
D. Tuia
199
18
0
03 Jan 2024
Multi-label Learning from Privacy-Label
Zhongnian Li
Haotian Ren
Tongfeng Sun
Zhichen Li
209
0
0
20 Dec 2023
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
Srikumar Sastry
Xin Xing
Aayush Dhakal
Subash Khanal
Adeel Ahmad
Nathan Jacobs
293
8
0
13 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hwanjun Song
Minseok Kim
Jae-Gil Lee
227
28
0
12 Dec 2023
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations
Kouzhiqiang Yucheng Xie
Jing Wang
Yuheng Jia
Boyu Shi
Xin Geng
167
4
0
11 Dec 2023
Object Recognition as Next Token Prediction
Computer Vision and Pattern Recognition (CVPR), 2023
Kaiyu Yue
Borchun Chen
Jonas Geiping
Hengduo Li
Tom Goldstein
Ser-Nam Lim
540
13
0
04 Dec 2023
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
IEEE transactions on multimedia (IEEE TMM), 2023
Lei Wang
Yibing Zhan
Leilei Ma
Dapeng Tao
Liang Ding
Chen Gong
307
6
0
26 Nov 2023
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Xin Xing
Zhexiao Xiong
Abby Stylianou
Srikumar Sastry
Liyu Gong
Nathan Jacobs
VLM
196
14
0
24 Oct 2023
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu
N. Xu
Jie Wang
Xin Geng
233
1
0
25 Sep 2023
CPR-Coach: Recognizing Composite Error Actions based on Single-class Training
Computer Vision and Pattern Recognition (CVPR), 2023
Shunli Wang
Qing Yu
Shuai Wang
Dingkang Yang
Liuzhen Su
Xiao Zhao
Haopeng Kuang
Pei Zhang
Peng Zhai
Lihua Zhang
406
6
0
21 Sep 2023
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning
Ziming Liu
Jingcai Guo
Xiaocheng Lu
Song Guo
Peiran Dong
Jiewei Zhang
VLM
298
9
0
02 Sep 2023
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection
International Conference on Automated Software Engineering (ASE), 2023
Xinjie Wen
Xinche Wang
Cuiyun Gao
Shaohua Wang
Yang Liu
Zhaoquan Gu
164
31
0
21 Aug 2023
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
International Conference on Software Engineering Research and Applications (ICSERA), 2023
Xin Zhang
Yuqi Song
Fei Zuo
Xiang Wang
298
2
0
31 Jul 2023
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
IEEE International Conference on Computer Vision (ICCV), 2023
R. Abdelfattah
Qing Guo
Xiaoguang Li
Xiang Wang
Song Wang
VLM
248
52
0
31 Jul 2023
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
International Journal of Computer Vision (IJCV), 2023
Cheng Chen
Yifan Zhao
Jia Li
231
8
0
15 Jul 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
International Conference on Machine Learning (ICML), 2023
Elijah Cole
Grant Van Horn
Christian Lange
Alexander Shepard
Patrick R. Leary
Pietro Perona
S. Loarie
Oisin Mac Aodha
225
64
0
05 Jun 2023
Pseudo Labels for Single Positive Multi-Label Learning
Julio Arroyo
133
0
0
01 Jun 2023
Understanding Label Bias in Single Positive Multi-Label Learning
Julio Arroyo
Pietro Perona
Elijah Cole
230
3
0
24 May 2023
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Zefan Cai
Xin Zheng
Tianyu Liu
Xu Wang
H. Meng
Jiaqi Han
Gang Yuan
Binghuai Lin
Baobao Chang
Yunbo Cao
191
4
0
24 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Neural Information Processing Systems (NeurIPS), 2023
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
298
33
0
04 May 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Computer Vision and Pattern Recognition (CVPR), 2023
Youngwook Kim
Jae Myung Kim
Ji-Eun Jeong
Cordelia Schmid
Zeynep Akata
Jungwook Lee
316
20
0
04 Apr 2023
A two-head loss function for deep Average-K classification
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Camille Garcin
Maximilien Servajean
Alexis Joly
Joseph Salmon
202
0
0
31 Mar 2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Computer Vision and Pattern Recognition (CVPR), 2023
Zixuan Ding
Ao Wang
Hui Chen
Qiaosheng Zhang
Pengzhang Liu
Yongjun Bao
Weipeng P. Yan
Jungong Han
205
42
0
23 Mar 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Youcai Zhang
Yuzhuo Qin
Heng-Ye Liu
Yanhao Zhang
Yaqian Li
X. Gu
VLM
216
2
0
15 Mar 2023
Towards Diverse Temporal Grounding under Single Positive Labels
Hao Zhou
Chongyang Zhang
Yanjun Chen
Chuanping Hu
184
3
0
12 Mar 2023
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