research
∙
06/20/2023
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning
Structural magnetic resonance imaging (sMRI) provides accurate estimates...
share
research
∙
06/08/2023
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
Structural magnetic resonance imaging (sMRI) has shown great clinical va...
research
∙
05/28/2023
Robust Natural Language Understanding with Residual Attention Debiasing
Natural language understanding (NLU) models often suffer from unintended...
research
∙
06/14/2022
Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification
Clustering-based methods, which alternate between the generation of pseu...
research
∙
03/08/2022
Part-Aware Self-Supervised Pre-Training for Person Re-Identification
In person re-identification (ReID), very recent researches have validate...
research
∙
05/27/2021
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization
Huge computational costs brought by convolution and batch normalization ...
research
∙
08/21/2020
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs
Recurrent neural networks (RNNs) are powerful in the tasks oriented to s...
research
∙
09/05/2019