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1902.03045
Cited By
Partial Label Learning with Self-Guided Retraining
8 February 2019
Lei Feng
Bo An
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Papers citing
"Partial Label Learning with Self-Guided Retraining"
45 / 45 papers shown
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
Tobias Fuchs
Nadja Klein
178
0
0
24 Oct 2025
Learning from N-Tuple Data with M Positive Instances: Unbiased Risk Estimation and Theoretical Guarantees
Miao Zhang
Junpeng Li
Changchun Hua
Yana Yang
206
0
0
21 Oct 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Xiaofeng Cao
Mingwei Xu
Xin Yu
Jiangchao Yao
Wei Ye
...
Minling Zhang
Ivor Tsang
Yew-Soon Ong
James T. Kwok
Heng Tao Shen
221
15
0
10 Oct 2025
A Unified Empirical Risk Minimization Framework for Flexible N-Tuples Weak Supervision
Shuying Huang
Junpeng Li
Changchun Hua
Yana Yang
295
0
0
10 Jul 2025
Partial-Label Learning with a Reject Option
Tobias Fuchs
Florian Kalinke
Klemens Bohm
517
3
0
08 Jan 2025
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning
Beibei Li
Yiyuan Zheng
Beihong Jin
Tao Xiang
Haobo Wang
Lei Feng
321
5
0
21 Jul 2024
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
Behzad Vahedi
Benjamin Lucas
F. Banaei-Kashani
A. Barrett
Walter N. Meier
S. Khalsa
Morteza Karimzadeh
278
2
0
05 Jun 2024
Robust Representation Learning for Unreliable Partial Label Learning
Yuge Shi
Dongze Wu
Xin Geng
Min-Ling Zhang
295
3
0
31 Aug 2023
Exploiting Counter-Examples for Active Learning with Partial labels
Machine-mediated learning (ML), 2023
Fei Zhang
Yunjie Ye
Lei Feng
Zhongwen Rao
Jieming Zhu
Marcus Kalander
Chen Gong
Jianye Hao
Bo Han
182
2
0
14 Jul 2023
Towards Unbiased Exploration in Partial Label Learning
Zsolt Zombori
Agapi Rissaki
Kristóf Szabó
Wolfgang Gatterbauer
Michael Benedikt
SSL
UQCV
351
2
0
02 Jul 2023
Partial-Label Regression
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xin Cheng
Deng-Bao Wang
Lei Feng
Min-Ling Zhang
Bo An
188
4
0
15 Jun 2023
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Li Xiong
Jie Zhou
Qunxi Zhu
Xiao Wang
Man Lan
Tao Gui
Tao Gui
Xuanjing Huang
Jin Ma
Yingchun Shan
265
4
0
21 May 2023
Complementary Classifier Induced Partial Label Learning
Knowledge Discovery and Data Mining (KDD), 2023
Yuheng Jia
Chongjie Si
Min-ling Zhang
149
16
0
17 May 2023
Adversary-Aware Partial label learning with Label distillation
Cheng Chen
Yueming Lyu
Ivor W.Tsang
AAML
244
0
0
02 Apr 2023
Unreliable Partial Label Learning with Recursive Separation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Yu Shi
Ning Xu
Hua Yuan
Xin Geng
166
5
0
20 Feb 2023
Do Orcas Have Semantic Language? Machine Learning to Predict Orca Behaviors Using Partially Labeled Vocalization Data
Sophia Sandholm
60
1
0
28 Jan 2023
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision
Science China Information Sciences (Sci. China Inf. Sci.), 2022
Wei Tang
Weijia Zhang
Min-Ling Zhang
175
19
0
18 Dec 2022
Personalized Reward Learning with Interaction-Grounded Learning (IGL)
International Conference on Learning Representations (ICLR), 2022
Jessica Maghakian
Paul Mineiro
Kishan Panaganti
Mark Rucker
Akanksha Saran
Cheng Tan
256
12
0
28 Nov 2022
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
AAAI Conference on Artificial Intelligence (AAAI), 2022
Qian-Wei Wang
Bowen Zhao
Mingyan Zhu
Tianxiang Li
Zimo Liu
Shutao Xia
386
3
0
20 Oct 2022
Rethinking the Learning Paradigm for Facial Expression Recognition
Weijie Wang
Andrii Zadaianchuk
Bruno Lepri
Bruno Lepri
298
4
0
30 Sep 2022
Partial sequence labeling with structured Gaussian Processes
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Xiaolei Lu
Tommy W. S. Chow
181
0
0
20 Sep 2022
STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction
International Conference on Computational Linguistics (COLING), 2022
Junjie Yu
Xing Wang
Jiangjiang Zhao
Chun-Pai Yang
Wenliang Chen
201
6
0
03 Sep 2022
Meta Objective Guided Disambiguation for Partial Label Learning
B. Zou
Ming-Kun Xie
Sheng-Jun Huang
237
0
0
26 Aug 2022
ProPaLL: Probabilistic Partial Label Learning
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
264
2
0
21 Aug 2022
Progressive Purification for Instance-Dependent Partial Label Learning
International Conference on Machine Learning (ICML), 2022
Ning Xu
Biao Liu
Jiaqi Lv
Congyu Qiao
Xin Geng
227
27
0
02 Jun 2022
A two-steps approach to improve the performance of Android malware detectors
N. Daoudi
Kevin Allix
Tegawende F. Bissyande
Jacques Klein
AAML
200
4
0
17 May 2022
Decompositional Generation Process for Instance-Dependent Partial Label Learning
Neural Information Processing Systems (NeurIPS), 2021
Congyu Qiao
Ning Xu
Xin Geng
366
103
0
08 Apr 2022
On the Robustness of Average Losses for Partial-Label Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jiaqi Lv
Biao Liu
Lei Feng
Ning Xu
Miao Xu
Bo An
Gang Niu
Xin Geng
Masashi Sugiyama
292
38
0
11 Jun 2021
Leveraged Weighted Loss for Partial Label Learning
International Conference on Machine Learning (ICML), 2021
Hongwei Wen
Jingyi Cui
H. Hang
Jiabin Liu
Yisen Wang
Zhouchen Lin
224
117
0
10 Jun 2021
Few-Shot Partial-Label Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Yunfeng Zhao
Guoxian Yu
Lei Liu
Zhongmin Yan
Li-zhen Cui
C. Domeniconi
138
5
0
02 Jun 2021
Learning with Group Noise
AAAI Conference on Artificial Intelligence (AAAI), 2021
Qizhou Wang
Jiangchao Yao
Chen Gong
Tongliang Liu
Biwei Huang
Hongxia Yang
Bo Han
185
11
0
17 Mar 2021
On the Power of Deep but Naive Partial Label Learning
Junghoon Seo
Joon Suk Huh
220
12
0
22 Oct 2020
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
International Conference on Learning Representations (ICLR), 2020
Yatin Nandwani
Deepanshu Jindal
Mausam
Parag Singla
308
14
0
27 Aug 2020
Object Detection with a Unified Label Space from Multiple Datasets
Xiangyu Zhao
S. Schulter
Gaurav Sharma
Yi-Hsuan Tsai
Manmohan Chandraker
Ying Nian Wu
ObjD
267
84
0
15 Aug 2020
Provably Consistent Partial-Label Learning
Neural Information Processing Systems (NeurIPS), 2020
Lei Feng
Jiaqi Lv
Bo Han
Miao Xu
Gang Niu
Xin Geng
Bo An
Masashi Sugiyama
235
177
0
17 Jul 2020
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning
Ximing Li
Yang Wang
131
21
0
20 Jun 2020
Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise
Yan Yan
Yuhong Guo
163
13
0
11 May 2020
Incorporating Multiple Cluster Centers for Multi-Label Learning
Information Sciences (Inf. Sci.), 2020
Senlin Shu
Fengmao Lv
Jun Huang
Li Li
Shuo He
Jun He
200
8
0
17 Apr 2020
Combating noisy labels by agreement: A joint training method with co-regularization
Computer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
1.1K
659
0
05 Mar 2020
Network Cooperation with Progressive Disambiguation for Partial Label Learning
Yao Yao
Chen Gong
Jiehui Deng
Zhiqiang Wang
180
28
0
22 Feb 2020
Progressive Identification of True Labels for Partial-Label Learning
International Conference on Machine Learning (ICML), 2020
Jiaqi Lv
Miao Xu
Lei Feng
Gang Niu
Xin Geng
Masashi Sugiyama
386
216
0
19 Feb 2020
General Partial Label Learning via Dual Bipartite Graph Autoencoder
AAAI Conference on Artificial Intelligence (AAAI), 2020
Brian Chen
Bo Wu
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
341
12
0
05 Jan 2020
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
416
119
0
30 Dec 2019
Online Algorithms for Multiclass Classification using Partial Labels
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
Rajarshi Bhattacharjee
Naresh Manwani
51
3
0
24 Dec 2019
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019
Gengyu Lyu
Songhe Feng
Yi Jin
Guojun Dai
Congyan Lang
Yidong Li
152
5
0
03 Jun 2019
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