Mixture Proportion Estimation and PU Learning: A Modern Approach

Mixture Proportion Estimation and PU Learning: A Modern Approach

1 November 2021

Alexander J. Smola

Sivaraman Balakrishnan

Zachary Chase Lipton

Papers citing "Mixture Proportion Estimation and PU Learning: A Modern Approach"

11 / 11 papers shown

Title
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification Siyan Liu Chi-Kuang Yeh Xin Zhang Qinglong Tian Pengfei Li 31 0 0 13 Jul 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 36 1 0 01 Apr 2024
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Guy Van den Broeck SSL 49 5 0 22 Nov 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
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation Kecheng Zhang Xiahai Zhuang 24 8 0 12 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 23 0 0 11 Jan 2023
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 22 37 0 06 Dec 2022
Domain Adaptation under Missingness Shift Helen Zhou Sivaraman Balakrishnan Zachary Chase Lipton 27 8 0 03 Nov 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 54 9 0 26 Jul 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 20 3 0 31 Jan 2022