Existing melody harmonization models have made great progress in improvi...
Reasoning, a crucial aspect of NLP research, has not been adequately
add...
Understanding the performance of machine learning (ML) models across div...
In Causal Discovery with latent variables, We define two data paradigms:...
The affective reasoning task is a set of emerging affect-based tasks in
...
In the transfer-based adversarial attacks, adversarial examples are only...
With the development of adversarial attacks, adversairal examples have b...
Transformer has shown advanced performance in speech separation, benefit...
In noisy and reverberant environments, the performance of deep learning-...
This paper presents a deep learning framework for medical video segmenta...
Transformer, as an alternative to CNN, has been proven effective in many...
Despite the increased adoption of open-source cyber threat intelligence
...
System auditing has emerged as a key approach for monitoring system call...
There is an inescapable long-tailed class-imbalance issue in many real-w...
Understanding causality helps to structure interventions to achieve spec...
Emotion-cause pair extraction (ECPE) is an emerging task aiming to extra...
We propose Video-TransUNet, a deep architecture for instance segmentatio...
Automated social behaviour analysis of mice has become an increasingly
p...
In the strong adversarial attacks against deep neural network (DNN), the...
Deep neural network (DNN) with dropout can be regarded as an ensemble mo...
Multi-sensor fusion is essential for an accurate and reliable autonomous...
Due to the vulnerability of deep neural networks, the black-box attack h...
Histopathological images of tumors contain abundant information about ho...
We propose a novel end-to-end curriculum learning approach that leverage...
The Stackelberg security game is played between a defender and an attack...
Music emotion recognition (MER), a sub-task of music information retriev...
Intelligent applications based on machine learning are impacting many pa...
Access to labeled time series data is often limited in the real world, w...
As an indispensable part of modern human-computer interaction system, sp...
Poetry generation has long been a challenge for artificial intelligence....
In classic network security games, the defender distributes defending
re...
The utilization of deep learning techniques in generating various conten...
In this paper we show that learning video feature spaces in which tempor...
Collecting and analyzing massive data generated from smart devices have
...
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
In Internet of Things (IoT) driven smart-world systems, real-time
crowd-...
Effective long-term predictions have been increasingly demanded in urban...
Distributed machine learning (ML) at network edge is a promising paradig...
Differential privacy provides a rigorous framework to quantify data priv...
Regional style in Chinese folk songs is a rich treasure that can be used...
Understanding the morphological changes of primary neuronal cells induce...
We propose the first multi-frame video object detection framework traine...
It has been widely understood that differential privacy (DP) can guarant...
Local differential privacy (LDP) can provide each user with strong priva...
With the rapid development of artificial intelligence (AI), ethical issu...
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...