research
∙
08/14/2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Online continual learning (CL) aims to learn new knowledge and consolida...
share
research
∙
07/28/2022
Learning to Adapt Classifier for Imbalanced Semi-supervised Learning
Pseudo-labeling has proven to be a promising semi-supervised learning (S...
research
∙
12/31/2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Continual learning requires models to learn new tasks while maintaining ...
research
∙
12/04/2021
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers
Hierarchical classification aims to sort the object into a hierarchy of ...
research
∙
08/21/2021
Unsupervised Local Discrimination for Medical Images
Contrastive representation learning is an effective unsupervised method ...
research
∙
06/27/2021
Residual Moment Loss for Medical Image Segmentation
Location information is proven to benefit the deep learning models on ca...
research
∙
12/17/2020
Unsupervised Learning of Local Discriminative Representation for Medical Images
Local discriminative representation is needed in many medical image anal...
research
∙
08/08/2020
Meta Feature Modulator for Long-tailed Recognition
Deep neural networks often degrade significantly when training data suff...
research
∙
03/16/2020