Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.11197
Cited By
v1
v2
v3 (latest)
The Emerging Trends of Multi-Label Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
23 November 2020
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"The Emerging Trends of Multi-Label Learning"
50 / 90 papers shown
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
Jiecheng Jiang
Jiawei Tang
Jiahao Jiang
Hui Liu
Junhui Hou
Yuheng Jia
103
0
0
16 Nov 2025
Interactive Hypergraph Visual Analytics for Exploring Large and Complex Image Collections
Floris Gisolf
Z. Geradts
M. Worring
148
0
0
22 Oct 2025
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
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Utsav Nareti
Suraj Kumar
Soumya Pandey
S. Chattopadhyay
Chandranath Adak
VLM
219
0
0
14 Oct 2025
MemPromptTSS: Persistent Prompt Memory for Iterative Multi-Granularity Time Series State Segmentation
Ching Chang
Ming-Chih Lo
Chiao-Tung Chan
Wen-Chih Peng
Tien-Fu Chen
AI4TS
115
0
0
11 Oct 2025
Rethinking Consistent Multi-Label Classification Under Inexact Supervision
Wei Wang
Tianhao Ma
Ming-Kun Xie
Gang Niu
Masashi Sugiyama
201
2
0
05 Oct 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
161
0
0
28 Aug 2025
Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors
Ming Huang
Zehan Li
Yan Hu
Wanjing Wang
Andrew Wen
...
Lokesh Shahani
Rodrigo Machado-Vieira
Jair Soares
Hua Xu
Hongfang Liu
AI4MH
199
0
0
22 Jul 2025
PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
Ching Chang
Ming-Chih Lo
Wen-Chih Peng
Tien-Fu Chen
AI4TS
371
3
0
12 Jun 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
218
0
0
06 Jun 2025
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Wanfu Gao
Hanlin Pan
Qingqi Han
Kunpeng Liu
236
2
0
05 Jun 2025
SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions
Weijie Xu
Shixian Cui
Xi Fang
Chi Xue
Stephanie Eckman
Chandan K. Reddy
ELM
536
3
0
31 May 2025
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
Joint Modelling Histology and Molecular Markers for Cancer Classification
Xiaofei Wang
Hanyu Liu
Yupei Zhang
Boyang Zhao
Hao Duan
Wanming Hu
Yonggao Mou
S. Price
Chao Li
527
3
0
11 Feb 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ao Zhou
Yinan Han
Jin Wang
Grigorios Tsoumakas
UQCV
448
1
0
21 Dec 2024
The Multiplex Classification Framework: optimizing multi-label classifiers through problem transformation, ontology engineering, and model ensembling
Applied Ontology (Appl. Ontol.), 2024
Mauro Nievas Offidani
Facundo Roffet
Claudio Augusto Delrieux
Maria Carolina Gonzalez Galtier
Marcos Zarate
235
1
0
18 Dec 2024
Multi-Head Encoding for Extreme Label Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Daojun Liang
Haixia Zhang
Dongfeng Yuan
Minggao Zhang
305
1
0
13 Dec 2024
Hoeffding adaptive trees for multi-label classification on data streams
Knowledge-Based Systems (KBS), 2024
Aurora Esteban
Alberto Cano
Amelia Zafra
Sebastián Ventura
257
10
0
26 Oct 2024
Dual-Label Learning With Irregularly Present Labels
Mingqian Li
Qiao Han
Ruifeng Li
Yao Yang
Yao Yang
461
0
0
18 Oct 2024
Online Multi-Label Classification under Noisy and Changing Label Distribution
Yizhang Zou
Xuegang Hu
Peipei Li
Jun Hu
You Wu
179
0
0
03 Oct 2024
Towards Fine-Grained Webpage Fingerprinting at Scale
Conference on Computer and Communications Security (CCS), 2024
Xiyuan Zhao
Xinhao Deng
Qi Li
Yunpeng Liu
Zhuotao Liu
Kun Sun
Ke Xu
321
18
0
06 Sep 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
298
1
0
26 Jul 2024
Multi-label Cluster Discrimination for Visual Representation Learning
Xiang An
Kaicheng Yang
Xiangzi Dai
Ziyong Feng
Jiankang Deng
VLM
401
15
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
170
2
0
09 Jul 2024
Early learning of the optimal constant solution in neural networks and humans
Jirko Rubruck
Jan P. Bauer
Andrew M. Saxe
Christopher Summerfield
449
6
0
25 Jun 2024
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
Li Yang
Li Yang
Dongjie Wang
Ke Li
Xiuwen Yi
Fengmao Lv
Tianrui Li
480
1
0
18 Jun 2024
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
Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
Linjia Kang
Songhua Zhou
Shuyan Fang
Shichao Liu
Wen Zhang
AI4CE
422
5
0
29 May 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
306
10
0
06 May 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
353
7
0
24 Apr 2024
Federated Learning with Only Positive Labels by Exploring Label Correlations
Xuming An
Dui Wang
Li Shen
Yong Luo
Han Hu
Bo Du
Yonggang Wen
Dacheng Tao
FedML
294
3
0
24 Apr 2024
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
Leena Mathur
Paul Pu Liang
Louis-Philippe Morency
LLMAG
303
24
0
17 Apr 2024
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
International 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
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds
European Signal Processing Conference (EUSIPCO), 2024
Ilyass Moummad
Nicolas Farrugia
Romain Serizel
Jérémy S. P. Froidevaux
Vincent Lostanlen
361
3
0
14 Mar 2024
ProPML: Probability Partial Multi-label Learning
International Conference on Data Science and Advanced Analytics (DSAA), 2023
Lukasz Struski
Adam Pardyl
Jacek Tabor
Bartosz Zieliñski
322
2
0
12 Mar 2024
Regret-based budgeted decision rules under severe uncertainty
Nawapon Nakharutai
Sebastien Destercke
Matthias C. M. Troffaes
133
0
0
05 Mar 2024
Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)
Sourav Mishra
Shirin Dora
Suresh Sundaram
OOD
262
3
0
07 Feb 2024
A Consistent Lebesgue Measure for Multi-label Learning
Kaan Demir
B. Nguyen
Bing Xue
Mengjie Zhang
254
1
0
01 Feb 2024
Deep Learning for Multi-Label Learning: A Comprehensive Survey
A. Tarekegn
M. Ullah
F. A. Cheikh
AI4TS
479
35
0
29 Jan 2024
Multi-label Learning from Privacy-Label
Zhongnian Li
Haotian Ren
Tongfeng Sun
Zhichen Li
286
0
0
20 Dec 2023
Scalable Label Distribution Learning for Multi-Label Classification
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Xingyu Zhao
Yuexuan An
Lei Qi
Xin Geng
156
6
0
28 Nov 2023
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification
Hao Wang
Euijoon Ahn
Lei Bi
Jinman Kim
369
17
0
28 Oct 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss
International Conference on Machine Learning (ICML), 2023
Pengyu Li
Xiao Li
Yutong Wang
Qing Qu
489
14
0
24 Oct 2023
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification
Knowledge-Based Systems (KBS), 2023
Sepehr Bakhshi
Fazli Can
158
12
0
01 Oct 2023
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu
N. Xu
Jie Wang
Xin Geng
261
2
0
25 Sep 2023
Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm
Shikun Li
Xiaobo Xia
Han Zhang
Shiming Ge
Tongliang Liu
NoLa
224
0
0
22 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
424
7
0
21 Sep 2023
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata
Filipa Valdeira
Stevo Racković
Valeria Danalachi
Qiwei Han
Cláudia Soares
159
3
0
21 Aug 2023
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Wongi Park
Inhyuk Park
Sungeun Kim
Jongbin Ryu
OOD
301
23
0
10 Aug 2023
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music
ACM Multimedia (ACM MM), 2023
Hongru Liang
Jingyao Liu
Yuanxin Xiang
Jiachen Du
Lanjun Zhou
Shushen Pan
Wenqiang Lei Sichuan University
283
0
0
09 Aug 2023
1
2
Next
Page 1 of 2
