biquality-learn: a Python library for Biquality Learning

18 August 2023

Papers citing "biquality-learn: a Python library for Biquality Learning"

8 / 8 papers shown

Title
ADAPT : Awesome Domain Adaptation Python Toolbox Antoine de Mathelin Mounir Atiq Guillaume Richard Alejandro de la Concha Mouad Yachouti Franccois Deheeger Mathilde Mougeot Nicolas Vayatis TTA 28 47 0 07 Jul 2021
From Weakly Supervised Learning to Biquality Learning: an Introduction Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols A. Ouorou 39 22 0 16 Dec 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 125 14,883 0 18 Jun 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Biwei Huang Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 39 67 0 14 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 48 139 0 08 Jun 2020
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 73 1,024 0 28 Nov 2017
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 135 311 0 28 May 2015
Frustratingly Easy Domain Adaptation Hal Daumé 114 1,799 0 10 Jul 2009