2 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
Chuanxing Geng, Qifei Li, Xinrui Wang +3
Using unlabeled wild data containing both in-distribution (ID) and out-of-distribution (OOD) data to improve the safety and reliability of models has recently received increasing a…
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang, Chuanxing Geng, Wenhai Wan +2
Online continual learning requires the models to learn from constant, endless streams of data. While significant efforts have been made in this field, most were focused on mitigati…
All-around Neural Collapse for Imbalanced Classification
Enhao Zhang, Chaohua Li, Chuanxing Geng +1
Neural Collapse (NC) presents an elegant geometric structure that enables individual activations (features), class means and classifier (weights) vectors to reach \textit{optimal}…
Dynamic Against Dynamic: An Open-set Self-learning Framework
Haifeng Yang, Chuanxing Geng, Pong C. Yuen +1
In open-set recognition, existing methods generally learn statically fixed decision boundaries using known classes to reject unknown classes. Though they have achieved promising re…
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
Xinrui Wang, Wenhai Wan, Chuanxin Geng +2
Learning binary classifiers from positive and unlabeled data (PUL) is vital in many real-world applications, especially when verifying negative examples is difficult. Despite the i…