Neuro-symbolic hybrid systems are promising for integrating machine lear...
Deep forest is a non-differentiable deep model which has achieved impres...
Understanding how microbes interact with each other is key to revealing ...
The interactions between microbial taxa in microbiome data has been unde...
Multiple testing is a fundamental problem in high-dimensional statistica...
Multiple testing has been a popular topic in statistical research. Altho...
Recent deep models for solving routing problems always assume a single
d...
Neural network models have achieved state-of-the-art performance on
grap...
Flexible Transmitter Network (FTNet) is a recently proposed bio-plausibl...
Multivariate time series (MTS) prediction is ubiquitous in real-world fi...
Vulnerability detection is an important issue in software security. Alth...
In many real-world imitation learning tasks, the demonstrator and the le...
We present the design and design rationale for the user interfaces for
P...
Complex objects are usually with multiple labels, and can be represented...
With the development of automatic speech recognition (ASR) and text-to-s...
Metric learning is an important family of algorithms for classification ...
Gradient Boosting Machine has proven to be one successful function
appro...
Adversarial black-box attacks aim to craft adversarial perturbations by
...
In multi-label learning, each instance is associated with multiple label...
Automatic speaker verification (ASV) is one of the most natural and
conv...
One of the key issues for imitation learning lies in making policy learn...
This paper proposes an end-to-end emotional speech synthesis (ESS) metho...
This paper presents methods of making using of text supervision to impro...
In this paper, a neural network named Sequence-to- sequence ConvErsion
N...
In the field of connectomics, neuroscientists seek to identify cortical
...
Object skeletons are useful for object representation and object detecti...
Contour and skeleton are two complementary representations for shape
rec...
Object skeleton is a useful cue for object detection, complementary to t...