research
∙
10/28/2021
Residual Relaxation for Multi-view Representation Learning
Multi-view methods learn representations by aligning multiple views of t...
share
research
∙
08/16/2021
BN-NAS: Neural Architecture Search with Batch Normalization
We present BN-NAS, neural architecture search with Batch Normalization (...
research
∙
08/07/2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
In this paper, we observe two levels of redundancies when applying visio...
research
∙
07/07/2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
We introduce the first Neural Architecture Search (NAS) method to find a...
research
∙
12/25/2020
Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
research
∙
12/12/2020
DETR for Pedestrian Detection
Pedestrian detection in crowd scenes poses a challenging problem due to ...
research
∙
10/21/2020
Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
research
∙
10/09/2020
Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
research
∙
05/21/2020
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
One-shot NAS method has attracted much interest from the research commun...
research
∙
10/06/2019
Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
research
∙
05/17/2019
AM-LFS: AutoML for Loss Function Search
Designing an effective loss function plays an important role in visual a...
research
∙
05/17/2019
