Adversarial Labeling for Learning without Labels. - Chidubem Arachie; Bert Huang (CoRR, 2018)

Adversarial Label Learning. - Chidubem Arachie; Bert Huang (AAAI, 2019)

An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. - Chidubem Arachie; Bert Huang (CoRR, 2019)

Unsupervised Detection of Sub-Events in Large Scale Disasters. - Chidubem Arachie; Manas Gaur; Sam Anzaroot; William Groves; Ke Zhang 013; Alejandro Jaimes (AAAI, 2020)

Constrained labeling for weakly supervised learning. - Chidubem Arachie; Bert Huang (UAI, 2021)

A General Framework for Adversarial Label Learning. - Chidubem Arachie; Bert Huang (J. Mach. Learn. Res., 2021)

Firebolt: Weak Supervision Under Weaker Assumptions. - Zhaobin Kuang; Chidubem G. Arachie; Bangyong Liang; Pradyumna Narayana; Giulia DeSalvo; Michael S. Quinn; Bert Huang; Geoffrey Downs; Yang Yang (AISTATS, 2022)

Data Consistency for Weakly Supervised Learning. - Chidubem Arachie; Bert Huang (CoRR, 2022)

Learning with Constraint-Based Weak Supervision. - Chidubem Arachie (2022)

Weakly Supervised Label Learning Flows. - You Lu 003; Chidubem Arachie; Bert Huang (CoRR, 2023)

Weakly supervised label learning flows. - You Lu 003; Wenzhuo Song; Chidubem Arachie; Bert Huang (Neural Networks, 2025)