research
∙
09/03/2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
The paradigm of machine intelligence moves from purely supervised learni...
share
research
∙
07/15/2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Task-free continual learning (CL) aims to learn a non-stationary data st...
research
∙
12/28/2021
Uncertainty Detection in EEG Neural Decoding Models
EEG decoding systems based on deep neural networks have been widely used...
research
∙
09/29/2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Recognizing new objects by learning from a few labeled examples in an ev...
research
∙
09/07/2020
Attention based Writer Independent Handwriting Verification
The task of writer verification is to provide a likelihood score for whe...
research
∙
03/13/2020
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
Electroencephalogram (EEG) signal is widely used in brain computer inter...
research
∙
12/25/2018
Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures
Motivation: With the development of droplet based systems, massive singl...
research
∙
11/29/2018