activity
20222024
most citedAdaptive Soft Contrastive Learning

21 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

Chen Zhao, Feng Mi, Xintao Wu +3

The fairness-aware online learning framework has emerged as a potent tool within the context of continuous lifelong learning. In this scenario, the learner's objective is to progre…

cs.LG20241 cited

Preserving Silent Features for Domain Generalization

Chujie Zhao, Tianren Zhang, Feng Chen

Domain generalization (DG) aims to improve the generalization ability of the model trained on several known training domains over unseen test domains. Previous work has shown that…

cs.AI20231 cited

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective

Haoliang Wang, Chen Zhao, Yunhui Guo +2

Two prevalent types of distributional shifts in machine learning are the covariate shift (as observed across different domains) and the semantic shift (as seen across different cla…

cs.CV2023

Multiresolution Feature Guidance Based Transformer for Anomaly Detection

Shuting Yan, Pingping Chen, Honghui Chen +3

Anomaly detection is represented as an unsupervised learning to identify deviated images from normal images. In general, there are two main challenges of anomaly detection tasks, i…

cs.CV2023

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset

Chen Feng, Ioannis Patras

Deep learning has achieved great success in recent years with the aid of advanced neural network structures and large-scale human-annotated datasets. However, it is often costly an…

cs.CV202221 cited

Adaptive Soft Contrastive Learning

Chen Feng, Ioannis Patras

Self-supervised learning has recently achieved great success in representation learning without human annotations. The dominant method -- that is contrastive learning, is generally…