
-
The Twelvefold Way of Non-Sequential Lossless Compression
Many information sources are not just sequences of distinguishable symbo...
read it
-
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
read it
-
Image Retrieval for Structure-from-Motion via Graph Convolutional Network
Conventional image retrieval techniques for Structure-from-Motion (SfM) ...
read it
-
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Existing Neural Architecture Search (NAS) methods either encode neural a...
read it
-
Improve Unsupervised Domain Adaptation with Mixup Training
Unsupervised domain adaptation studies the problem of utilizing a releva...
read it
-
Unsupervised Visual Representation Learning with Increasing Object Shape Bias
(Very early draft)Traditional supervised learning keeps pushing convolut...
read it
-
A closer look at network resolution for efficient network design
There is growing interest in designing lightweight neural networks for m...
read it
-
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
The use of automatic methods, often referred to as Neural Architecture S...
read it
-
Word-based Domain Adaptation for Neural Machine Translation
In this paper, we empirically investigate applying word-level weights to...
read it
-
Learning Low-shot facial representations via 2D warping
Face recognition has seen a significant improvement by using the deep co...
read it