Deep multi-class learning from label proportions

Deep multi-class learning from label proportions

30 May 2019

Gabriel Dulac-Arnold

Jean-Philippe Vert

Papers citing "Deep multi-class learning from label proportions"

12 / 12 papers shown

Title
Nearly Optimal Sample Complexity for Learning with Label Proportions R. Busa-Fekete Travis Dick Claudio Gentile Haim Kaplan Tomer Koren Uri Stemmer 53 0 0 08 May 2025
Evaluating LLP Methods: Challenges and Approaches Gabriel Franco Giovanni V. Comarela Mark Crovella 24 0 0 29 Oct 2023
Learning under Label Proportions for Text Classification Jatin Chauhan Xiaoxuan Wang Wei Wang 33 1 0 18 Oct 2023
Label Differential Privacy via Aggregation Anand Brahmbhatt Rishi Saket Shreyas Havaldar Anshul Nasery A. Raghuveer 45 0 0 16 Oct 2023
A Universal Unbiased Method for Classification from Aggregate Observations Zixi Wei Lei Feng Bo Han Tongliang Liu Gang Niu Xiaofeng Zhu H. Shen 34 2 0 20 Jun 2023
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery L. E. L. Rosa Dario Augusto Borges Oliveira Pedram Ghamisi 34 8 0 24 Aug 2022
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance Meirui Jiang Hongzheng Yang Xiaoxiao Li Quande Liu Pheng-Ann Heng Qi Dou FedML 30 27 0 27 Jun 2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu Zhao Wang Xiaoxiao Li Gang Niu Qianming Dou Masashi Sugiyama FedML 27 40 0 07 Apr 2022
Learning from Label Proportions by Learning with Label Noise Jianxin Zhang Yutong Wang Clayton Scott NoLa 24 24 0 04 Mar 2022
Training image classifiers using Semi-Weak Label Data Anxiang Zhang Ankit Parag Shah Bhiksha Raj 23 2 0 19 Mar 2021
Disambiguation of weak supervision with exponential convergence rates Vivien A. Cabannes Francis R. Bach Alessandro Rudi 41 5 0 04 Feb 2021
Learning from Label Proportions with Consistency Regularization Kuen-Han Tsai Hsuan-Tien Lin 24 44 0 29 Oct 2019