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1402.5902
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On Learning from Label Proportions
24 February 2014
Felix X. Yu
Krzysztof Choromanski
Sanjiv Kumar
Tony Jebara
Shih-Fu Chang
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Papers citing
"On Learning from Label Proportions"
46 / 46 papers shown
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions
Jinyi Chang
Dongliang Chang
Lei Chen
Bingyao Yu
Zhanyu Ma
218
0
0
29 May 2025
Learning from M-Tuple Dominant Positive and Unlabeled Data
Jiahe Qin
Junpeng Li
Changchun Hua
Yana Yang
243
0
0
25 May 2025
Aggregating Data for Optimal and Private Learning
Sushant Agarwal
Yukti Makhija
Rishi Saket
A. Raghuveer
FedML
456
0
0
28 Nov 2024
Weak to Strong Learning from Aggregate Labels
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Yukti Makhija
Rishi Saket
279
0
0
09 Nov 2024
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags
European Conference on Artificial Intelligence (ECAI), 2024
Shunsuke Kubo
Shinnosuke Matsuo
D. Suehiro
Kazuhiro Terada
Hiroaki Ito
Akihiko Yoshizawa
Ryoma Bise
425
2
0
26 Aug 2024
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
Jialiang Wang
Ning Zhang
Hanmo Liu
Ruidong Wang
Lei Chen
220
0
0
13 Aug 2024
Optimistic Rates for Learning from Label Proportions
Gene Li
Lin Chen
Adel Javanmard
Vahab Mirrokni
460
6
0
01 Jun 2024
Hardness of Learning Boolean Functions from Label Proportions
V. Guruswami
Rishi Saket
214
0
0
28 Mar 2024
In-Context Example Ordering Guided by Label Distributions
Zhichao Xu
Daniel Cohen
Bei Wang
Vivek Srikumar
349
13
0
18 Feb 2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard
Matthew Fahrbach
Vahab Mirrokni
267
6
0
07 Feb 2024
A General Framework for Learning from Weak Supervision
Hao Chen
Yongfeng Zhang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
383
12
0
02 Feb 2024
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
International Conference on Learning Representations (ICLR), 2024
Adel Javanmard
Lin Chen
Vahab Mirrokni
Ashwinkumar Badanidiyuru
Gang Fu
241
2
0
20 Jan 2024
A Unified Approach to Count-Based Weakly-Supervised Learning
Neural Information Processing Systems (NeurIPS), 2023
Vinay Shukla
Zhe Zeng
Kareem Ahmed
Karen Ullrich
SSL
307
10
0
22 Nov 2023
Evaluating LLP Methods: Challenges and Approaches
Gabriel Franco
Giovanni V. Comarela
Mark Crovella
243
0
0
29 Oct 2023
PAC Learning Linear Thresholds from Label Proportions
Anand Brahmbhatt
Rishi Saket
A. Raghuveer
243
11
0
16 Oct 2023
Label Differential Privacy via Aggregation
Anand Brahmbhatt
Rishi Saket
Shreyas Havaldar
Anshul Nasery
A. Raghuveer
416
0
0
16 Oct 2023
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
International Conference on Learning Representations (ICLR), 2023
Shreyas Havaldar
Navodita Sharma
Shubhi Sareen
Karthikeyan Shanmugam
A. Raghuveer
491
5
0
12 Oct 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
SDM (SDM), 2023
Karuna Bhaila
Wen Huang
Yongkai Wu
Xintao Wu
326
12
0
15 Sep 2023
A Universal Unbiased Method for Classification from Aggregate Observations
International Conference on Machine Learning (ICML), 2023
Zixi Wei
Lei Feng
Bo Han
Tongliang Liu
Gang Niu
Xiaofeng Zhu
Mengqi Li
331
7
0
20 Jun 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision
Yuhao Wu
Xiaobo Xia
Jun Yu
Bo Han
Gang Niu
Masashi Sugiyama
Tongliang Liu
304
3
0
12 Jun 2023
AUC Optimization from Multiple Unlabeled Datasets
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zheng Xie
Yu Liu
Ming Li
439
2
0
25 May 2023
Learning from Aggregated Data: Curated Bags versus Random Bags
Lin Chen
Gang Fu
Amin Karbasi
Vahab Mirrokni
FedML
254
12
0
16 May 2023
Easy Learning from Label Proportions
Neural Information Processing Systems (NeurIPS), 2023
R. Busa-Fekete
Heejin Choi
Travis Dick
Claudio Gentile
Andrés Munoz Medina
276
20
0
06 Feb 2023
The Tensor Data Platform: Towards an AI-centric Database System
Conference on Innovative Data Systems Research (CIDR), 2022
Apurva Gandhi
Yuki Asada
Victor Fu
Advitya Gemawat
Lihao Zhang
Rathijit Sen
Carlo Curino
Jesús Camacho-Rodríguez
Matteo Interlandi
249
22
0
04 Nov 2022
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
L. E. L. Rosa
Dario Augusto Borges Oliveira
Pedram Ghamisi
242
10
0
24 Aug 2022
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization
Asian Conference on Machine Learning (ACML), 2022
Yuting Tang
Nan Lu
Tianyi Zhang
Masashi Sugiyama
234
5
0
04 Jul 2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
International Conference on Learning Representations (ICLR), 2022
Nan Lu
Zhao Wang
Xiaoxiao Li
Gang Niu
Qianming Dou
Masashi Sugiyama
FedML
228
44
0
07 Apr 2022
Learning from Label Proportions with Instance-wise Consistency
Ryoma Kobayashi
Yusuke Mukuta
Tatsuya Harada
382
2
0
24 Mar 2022
Learning from Label Proportions by Learning with Label Noise
Neural Information Processing Systems (NeurIPS), 2022
Jianxin Zhang
Yutong Wang
Clayton Scott
NoLa
373
35
0
04 Mar 2022
Challenges and approaches to privacy preserving post-click conversion prediction
Conor O'Brien
Arvind Thiagarajan
Sourav Das
Rafael Barreto
C. Verma
Tim Hsu
James Neufeld
Jonathan J. Hunt
OffRL
169
12
0
29 Jan 2022
Fast learning from label proportions with small bags
Denis Baručić
J. Kybic
317
7
0
07 Oct 2021
Two-stage Training for Learning from Label Proportions
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Jiabin Liu
Bo Wang
Xin Shen
Zhiquan Qi
Ying-jie Tian
226
29
0
22 May 2021
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
International Conference on Machine Learning (ICML), 2021
Nan Lu
Shida Lei
Gang Niu
Issei Sato
Masashi Sugiyama
335
16
0
01 Feb 2021
A Visual Mining Approach to Improved Multiple-Instance Learning
Sonia Castelo
M. Ponti
R. Minghim
194
2
0
14 Dec 2020
InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification
Konstantin T. Matchev
Prasanth Shyamsundar
CML
219
0
0
31 Aug 2020
Learning from Label Proportions: A Mutual Contamination Framework
Neural Information Processing Systems (NeurIPS), 2020
Clayton Scott
Jianxin Zhang
SSL
211
12
0
12 Jun 2020
On the Complexity of Learning from Label Proportions
International Joint Conference on Artificial Intelligence (IJCAI), 2017
Benjamin Fish
L. Reyzin
104
18
0
07 Apr 2020
Learning from Label Proportions with Consistency Regularization
Asian Conference on Machine Learning (ACML), 2019
Kuen-Han Tsai
Hsuan-Tien Lin
152
50
0
29 Oct 2019
Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions
Clayton Scott
Jianxin Zhang
188
7
0
10 Oct 2019
Learning from Indirect Observations
Yivan Zhang
Nontawat Charoenphakdee
Masashi Sugiyama
191
6
0
10 Oct 2019
Transfer Learning-Based Label Proportions Method with Data of Uncertainty
Yanshan Xiao
HuaiPei Wang
Bo Liu
98
0
0
19 Aug 2019
Deep multi-class learning from label proportions
Gabriel Dulac-Arnold
Neil Zeghidour
Marco Cuturi
Lucas Beyer
Jean-Philippe Vert
232
57
0
30 May 2019
Label Propagation for Learning with Label Proportions
Rafael Poyiadzi
Raúl Santos-Rodríguez
Niall Twomey
124
13
0
24 Oct 2018
Variational Learning on Aggregate Outputs with Gaussian Processes
H. Law
Dino Sejdinovic
E. Cameron
T. Lucas
Seth Flaxman
K. Battle
Kenji Fukumizu
254
40
0
22 May 2018
Towards Data Quality Assessment in Online Advertising
S. Geyik
Jianqiang Shen
Shahriar Shariat
Ali Dasdan
Santanu Kolay
137
0
0
30 Nov 2017
(Machine) Learning to Do More with Less
T. Cohen
M. Freytsis
B. Ostdiek
322
81
0
28 Jun 2017
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