Decompositional Generation Process for Instance-Dependent Partial Label Learning

8 April 2022

Papers citing "Decompositional Generation Process for Instance-Dependent Partial Label Learning"

33 / 33 papers shown

Title
Neuro-symbolic Weak Supervision: Theory and Semantics Nijesh Upreti Vaishak Belle NAI 42 0 0 24 Mar 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 40 0 0 08 Jan 2025
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning Congyu Qiao Ning Xu Yihao Hu Xin Geng VLM 24 0 0 28 Oct 2024
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes Jiayu Hu Senlin Shu Beibei Li Tao Xiang Zhongshi He 16 0 0 29 Sep 2024
Pre-Trained Vision-Language Models as Partial Annotators Qian-Wei Wang Yuqiu Xie Letian Zhang Zimo Liu Shu-Tao Xia VLM 30 2 0 23 May 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty Changbin Li Kangshuo Li Yuzhe Ou Lance M. Kaplan A. Jøsang Jin-Hee Cho Dong Hyun. Jeong Feng Chen UQCV BDL EDL 30 5 0 17 Apr 2024
Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning Chongjie Si Xuehui Wang Yan Wang Xiaokang Yang Wei Shen 40 0 0 18 Dec 2023
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning Mengmeng Sheng Zeren Sun Zhenhuang Cai Tao Chen Yichao Zhou Yazhou Yao 31 16 0 15 Dec 2023
Robust Representation Learning for Unreliable Partial Label Learning Yuge Shi Dongze Wu Xin Geng Min-Ling Zhang 11 2 0 31 Aug 2023
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples Shuo He Lei Feng Guowu Yang 11 1 0 02 Jul 2023
On Learning Latent Models with Multi-Instance Weak Supervision Kaifu Wang Efi Tsamoura Dan Roth 18 9 0 23 Jun 2023
Conformal Prediction with Partially Labeled Data Alireza Javanmardi Yusuf Sale Paul Hofman Eyke Hüllermeier 4 3 0 01 Jun 2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning Wei Tang Weijia Zhang Min-Ling Zhang 24 9 0 26 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 29 12 0 22 May 2023
Towards Effective Visual Representations for Partial-Label Learning Shiyu Xia Jiaqi Lv Ning Xu Gang Niu Xin Geng VLM SSL 39 25 0 10 May 2023
Adversary-Aware Partial label learning with Label distillation Cheng Chen Yueming Lyu Ivor W.Tsang AAML 17 0 0 02 Apr 2023
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning Shiyun Tian Hongxin Wei Yiqun Wang Lei Feng 19 5 0 18 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning Mingyu Xu Zheng Lian 21 1 0 06 Mar 2023
Unreliable Partial Label Learning with Recursive Separation Yu Shi Ning Xu Hua Yuan Xin Geng 21 3 0 20 Feb 2023
Learning From Biased Soft Labels Hua Yuan Ning Xu Yuge Shi Xin Geng Yong Rui FedML 24 6 0 16 Feb 2023
Rethinking Soft Label in Label Distribution Learning Perspective Seungbum Hong Jihun Yoon Bogyu Park Min-Kook Choi 31 0 0 31 Jan 2023
Learning with Partial Labels from Semi-supervised Perspective Ximing Li Yuanzhi Jiang C. Li Yiyuan Wang Jihong Ouyang SSL 21 15 0 24 Nov 2022
IRNet: Iterative Refinement Network for Noisy Partial Label Learning Zheng Lian Ming Xu Lang Chen Licai Sun B. Liu Jianhua Tao NoLa 11 4 0 09 Nov 2022
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data Qian-Wei Wang Bowen Zhao Mingyan Zhu Tianxiang Li Zimo Liu Shutao Xia 25 2 0 20 Oct 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen J. Zhao 51 38 0 21 Sep 2022
Meta Objective Guided Disambiguation for Partial Label Learning B. Zou Ming-Kun Xie Sheng-Jun Huang 29 0 0 26 Aug 2022
ProPaLL: Probabilistic Partial Label Learning Lukasz Struski Jacek Tabor Bartosz Zieliñski 20 2 0 21 Aug 2022
Progressive Purification for Instance-Dependent Partial Label Learning Ning Xu Biao Liu Jiaqi Lv Congyu Qiao Xin Geng 34 14 0 02 Jun 2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement Ning Xu Congyu Qiao Jiaqi Lv Xin Geng Min-Ling Zhang 25 32 0 01 Jun 2022
Adaptive Discriminative Regularization for Visual Classification Qingsong Zhao Yi Wang Shuguang Dou Chen Gong Yin Wang Cairong Zhao 18 0 0 02 Mar 2022
Efficient Algorithms for Learning from Coarse Labels Dimitris Fotakis Alkis Kalavasis Vasilis Kontonis Christos Tzamos 18 15 0 22 Aug 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Decontamination of Mutual Contamination Models Julian Katz-Samuels Gilles Blanchard Clayton Scott 58 23 0 30 Sep 2017