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Learning from Label Proportions by Learning with Label Noise

Learning from Label Proportions by Learning with Label Noise

4 March 2022
Jianxin Zhang
Yutong Wang
Clayton Scott
    NoLa
ArXivPDFHTML

Papers citing "Learning from Label Proportions by Learning with Label Noise"

19 / 19 papers shown
Title
Nearly Optimal Sample Complexity for Learning with Label Proportions
Nearly Optimal Sample Complexity for Learning with Label Proportions
R. Busa-Fekete
Travis Dick
Claudio Gentile
Haim Kaplan
Tomer Koren
Uri Stemmer
48
0
0
08 May 2025
Weak to Strong Learning from Aggregate Labels
Weak to Strong Learning from Aggregate Labels
Yukti Makhija
Rishi Saket
25
0
0
09 Nov 2024
Label Noise: Ignorance Is Bliss
Label Noise: Ignorance Is Bliss
Yilun Zhu
Jianxin Zhang
Aditya Gangrade
Clayton Scott
NoLa
34
2
0
31 Oct 2024
A Practical Theory of Generalization in Selectivity Learning
A Practical Theory of Generalization in Selectivity Learning
Peizhi Wu
Haoshu Xu
Ryan Marcus
Z. Ives
OODD
46
0
0
11 Sep 2024
Theoretical Proportion Label Perturbation for Learning from Label
  Proportions in Large Bags
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags
Shunsuke Kubo
Shinnosuke Matsuo
D. Suehiro
Kazuhiro Terada
Hiroaki Ito
Akihiko Yoshizawa
Ryoma Bise
24
0
0
26 Aug 2024
Class-aware and Augmentation-free Contrastive Learning from Label
  Proportion
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
Jialiang Wang
Ning Zhang
Shimin Di
Ruidong Wang
Lei Chen
21
0
0
13 Aug 2024
Optimistic Rates for Learning from Label Proportions
Optimistic Rates for Learning from Label Proportions
Gene Li
Lin Chen
Adel Javanmard
Vahab Mirrokni
35
2
0
01 Jun 2024
In-Context Example Ordering Guided by Label Distributions
In-Context Example Ordering Guided by Label Distributions
Zhichao Xu
Daniel Cohen
Bei Wang
Vivek Srikumar
36
7
0
18 Feb 2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard
Matthew Fahrbach
Vahab Mirrokni
18
3
0
07 Feb 2024
A General Framework for Learning from Weak Supervision
A General Framework for Learning from Weak Supervision
Hao Chen
Jindong Wang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
26
2
0
02 Feb 2024
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label
  Proportions
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions
Anand Brahmbhatt
Mohith Pokala
Rishi Saket
A. Raghuveer
17
3
0
16 Oct 2023
Label Differential Privacy via Aggregation
Label Differential Privacy via Aggregation
Anand Brahmbhatt
Rishi Saket
Shreyas Havaldar
Anshul Nasery
A. Raghuveer
45
0
0
16 Oct 2023
Learning from Label Proportions: Bootstrapping Supervised Learners via
  Belief Propagation
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar
Navodita Sharma
Shubhi Sareen
Karthikeyan Shanmugam
A. Raghuveer
46
2
0
12 Oct 2023
Evaluating AI systems under uncertain ground truth: a case study in dermatology
Evaluating AI systems under uncertain ground truth: a case study in dermatology
David Stutz
A. Cemgil
Abhijit Guha Roy
Tatiana Matejovicova
Melih Barsbey
...
Yossi Matias
Pushmeet Kohli
Yun-hui Liu
Arnaud Doucet
Alan Karthikesalingam
30
4
0
05 Jul 2023
Kernel Density Matrices for Probabilistic Deep Learning
Kernel Density Matrices for Probabilistic Deep Learning
Fabio A. González
Raúl Ramos-Pollán
Joseph A. Gallego-Mejia
11
2
0
26 May 2023
Easy Learning from Label Proportions
Easy Learning from Label Proportions
R. Busa-Fekete
Heejin Choi
Travis Dick
Claudio Gentile
Andrés Munoz Medina
17
13
0
06 Feb 2023
Unsupervised Learning under Latent Label Shift
Unsupervised Learning under Latent Label Shift
Manley Roberts
P. Mani
Saurabh Garg
Zachary Chase Lipton
OOD
54
9
0
26 Jul 2022
Learning from Label Proportions with Instance-wise Consistency
Learning from Label Proportions with Instance-wise Consistency
Ryoma Kobayashi
Yusuke Mukuta
Tatsuya Harada
21
2
0
24 Mar 2022
Two-stage Training for Learning from Label Proportions
Two-stage Training for Learning from Label Proportions
Jiabin Liu
Bo Wang
Xin Shen
Zhiquan Qi
Ying-jie Tian
44
25
0
22 May 2021
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