research
∙
07/03/2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Breaking safety constraints in control systems can lead to potential ris...
share
research
∙
03/29/2022
SepViT: Separable Vision Transformer
Vision Transformers have witnessed prevailing success in a series of vis...
research
∙
11/15/2021
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
The sparse representation of graphs has shown its great potential for ac...
research
∙
11/06/2021
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Differentiable architecture search has gradually become the mainstream r...
research
∙
05/30/2021
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing
For multimodal tasks, a good feature extraction network should extract i...
research
∙
05/24/2021
Taylor saves for later: disentanglement for video prediction using Taylor representation
Video prediction is a challenging task with wide application prospects i...
research
∙
03/13/2021
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
While convolutional neural networks (CNNs) have significantly boosted th...
research
∙
03/07/2020
