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Papers
Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior
UAI 2026
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
AAAI 2025
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
ICML 2025
Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
AAAI 2024
Detecting Out-of-distribution Data through In-distribution Class Prior
ICML 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts
ICLR 2023
Multi-class Classification from Multiple Unlabeled
Datasets with Partial Risk Regularization
ACML 2022
The Hitchhiker's Guide to Prior-Shift Adaptation
WACV 2022
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
ICML 2021
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior
AAAI 2020
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
AISTATS 2020
Positive Unlabeled Learning with Class-prior Approximation
IJCAI 2020
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
ICLR 2019
Fisher Consistency for Prior Probability Shift
JMLR 2017