Multi-Label Learning from Single Positive Labels

17 June 2021

Papers citing "Multi-Label Learning from Single Positive Labels"

50 / 63 papers shown

Title
Semantic-guided Representation Learning for Multi-Label Recognition Ruhui Zhang Hezhe Qiao Pengcheng Xu Mingsheng Shang Lin Chen 24 0 0 04 Apr 2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification Dongseob Kim Hyunjung Shim VLM 44 0 0 21 Mar 2025
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations Samyak Rawlekar Shubhang Bhatnagar Narendra Ahuja VLM 31 1 0 12 Sep 2024
Generating Binary Species Range Maps Filip Dorm Christian Lange S. Loarie Oisin Mac Aodha 34 3 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 26 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 31 4 0 26 Jul 2024
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness Xin Zhang Yuqi Song Wyatt McCurdy Xiaofeng Wang Fei Zuo AAML 30 0 0 24 Jul 2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels Zixia Jia Junpeng Li Shichuan Zhang Anji Liu Zilong Zheng 28 2 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 32 0 0 10 Jun 2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss Yanxi Chen Chunxiao Li Xinyang Dai Jinhuan Li Weiyu Sun Yiming Wang Renyuan Zhang Tinghe Zhang Bo Wang 32 0 0 06 May 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities Samyak Rawlekar Shubhang Bhatnagar Vishnuvardhan Pogunulu Srinivasulu Narendra Ahuja VLM 32 5 0 24 Apr 2024
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling Robin Zbinden Nina Van Tiel M. Rußwurm D. Tuia 22 4 0 12 Mar 2024
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning Robin Zbinden Nina Van Tiel B. Kellenberger L. Hughes D. Tuia 12 11 0 03 Jan 2024
Multi-label Learning from Privacy-Label Zhongnian Li Haotian Ren Tongfeng Sun Zhichen Li 18 0 0 20 Dec 2023
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling S. Sastry Xin Xing A. Dhakal Subash Khanal Adeel Ahmad Nathan Jacobs 34 5 0 13 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise Hwanjun Song Minseok Kim Jae-Gil Lee 44 7 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 24 0 0 11 Dec 2023
Object Recognition as Next Token Prediction Kaiyu Yue Borchun Chen Jonas Geiping Hengduo Li Tom Goldstein Ser-Nam Lim 27 8 0 04 Dec 2023
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification Lei Wang Yibing Zhan Leilei Ma Dapeng Tao Liang Ding Chen Gong 21 1 0 26 Nov 2023
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning Xin Xing Zhexiao Xiong Abby Stylianou S. Sastry Liyu Gong Nathan Jacobs VLM 37 4 0 24 Oct 2023
Can Class-Priors Help Single-Positive Multi-Label Learning? Biao Liu N. Xu Jie Wang Xin Geng 37 1 0 25 Sep 2023
CPR-Coach: Recognizing Composite Error Actions based on Single-class Training Shunli Wang Qing Yu Shuai Wang Dingkang Yang Liuzhen Su Xiao Zhao Haopeng Kuang Pei Zhang Peng Zhai Lihua Zhang 29 3 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 19 8 0 02 Sep 2023
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection Xinjie Wen Xinche Wang Cuiyun Gao Shaohua Wang Yang Liu Zhaoquan Gu 9 15 0 21 Aug 2023
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels Xin Zhang Yuqi Song Fei Zuo Xiaofeng Wang 18 2 0 31 Jul 2023
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification R. Abdelfattah Qing-Wu Guo Xiaoguang Li Xiaofeng Wang Song Wang VLM 16 28 0 31 Jul 2023
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition Cheng Chen Yifan Zhao Jia Li 28 5 0 15 Jul 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping Elijah Cole Grant Van Horn Christian Lange Alexander Shepard Patrick R. Leary Pietro Perona S. Loarie Oisin Mac Aodha 26 36 0 05 Jun 2023
Pseudo Labels for Single Positive Multi-Label Learning Julio Arroyo 8 0 0 01 Jun 2023
Understanding Label Bias in Single Positive Multi-Label Learning Julio Arroyo Pietro Perona Elijah Cole 19 2 0 24 May 2023
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade Zefan Cai Xin Zheng Tianyu Liu Xu Wang H. Meng Jiaqi Han Gang Yuan Binghuai Lin Baobao Chang Yunbo Cao 26 4 0 24 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie Jianxiong Xiao Hao-Zhe Liu Gang Niu Masashi Sugiyama Sheng-Jun Huang 32 15 0 04 May 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 19 7 0 04 Apr 2023
A two-head loss function for deep Average-K classification Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 20 0 0 31 Mar 2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels Zixuan Ding Ao Wang Hui Chen Q. Zhang Pengzhang Liu Yongjun Bao Weipeng P. Yan Jungong Han 19 27 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 51 2 0 15 Mar 2023
Towards Diverse Temporal Grounding under Single Positive Labels Hao Zhou Chongyang Zhang Yanjun Chen Chuanping Hu 16 1 0 12 Mar 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels Xiang Li Xinrui Wang Songcan Chen 20 0 0 28 Feb 2023
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance Qiongdan Lou Zhaohong Deng K. Choi Shitong Wang 8 2 0 09 Jan 2023
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels Tao Pu Q. Lao Hefeng Wu Tianshui Chen Liang Lin 18 2 0 15 Nov 2022
An Effective Approach for Multi-label Classification with Missing Labels Xin Zhang R. Abdelfattah Yuqi Song Xiaofeng Wang 17 4 0 24 Oct 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification R. Abdelfattah Xin Zhang M. Fouda Xiaofeng Wang Song Wang VLM 30 6 0 20 Oct 2022
Pre-training Language Models with Deterministic Factual Knowledge Shaobo Li Xiaoguang Li Lifeng Shang Chengjie Sun Bingquan Liu Zhenzhou Ji Xin Jiang Qun Liu KELM 36 11 0 20 Oct 2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition Kiyoon Kim Davide Moltisanti Oisin Mac Aodha Laura Sevilla-Lara 8 0 0 10 Oct 2022
A patch-based architecture for multi-label classification from single label annotations Warren Jouanneau Aurélie Bugeau Marc Palyart Nicolas Papadakis Laurent Vézard 28 0 0 14 Sep 2022
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction Jens-Joris Decorte Jeroen Van Hautte Johannes Deleu Chris Develder Thomas Demeester 16 13 0 13 Sep 2022
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels Zhongchen Ma Lisha Li Qi-rong Mao Songcan Chen 28 1 0 03 Sep 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification R. Abdelfattah Xin Zhang Zhenyao Wu Xinyi Wu Xiaofeng Wang Song Wang VLM 26 6 0 22 Aug 2022
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training Xinyu Huang Youcai Zhang Ying Cheng Weiwei Tian Ruiwei Zhao Rui Feng Yuejie Zhang Yaqian Li Yandong Guo X. Zhang VLM 21 14 0 12 Jul 2022
Mining Multi-Label Samples from Single Positive Labels Youngin Cho Daejin Kim Mohammad Azam Khan Jaegul Choo GAN 17 7 0 12 Jun 2022