Logistic regression is an algorithm widely used for binary classificatio...
Text-to-image synthesis for the Chinese language poses unique challenges...
Text classification is one of the most imperative tasks in natural langu...
In recent years, diffusion models have emerged as the most powerful appr...
Diffusion models and large language models have emerged as leading-edge
...
We study the task of weakly-supervised point cloud semantic segmentation...
Split learning enables collaborative deep learning model training while
...
In recent years, diffusion models have become the most popular and power...
Data privacy concerns has made centralized training of data, which is
sc...
Federated Learning (FL) is pervasive in privacy-focused IoT environments...
The transferability of adversarial examples (AEs) across diverse models ...
In Natural Language Understanding (NLU) applications, training an effect...
Programming-based Pre-trained Language Models (PPLMs) such as CodeBERT h...
Recently, Niu, et. al. introduced a new variant of Federated Learning (F...
Federated learning is emerging as a machine learning technique that trai...
Recent studies on Question Answering (QA) and Conversational QA (ConvQA)...
Image segmentation is one of the most essential biomedical image process...
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
Intelligent personal assistant systems for information-seeking conversat...
Federated learning (FL) has attracted increasing attention in recent yea...
The literature has witnessed the success of applying deep Transfer Learn...
In the era of big data, the need to expand the amount of data through da...
The success of machine learning algorithms often relies on a large amoun...
Transfer learning is widely used for transferring knowledge from a sourc...
Structural damage detection has become an interdisciplinary area of inte...
Conversational search is one of the ultimate goals of information retrie...
ROUGE is the de facto criterion for summarization research. However, its...
The insurance industry has been creating innovative products around the
...
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
Bayesian deep learning is recently regarded as an intrinsic way to
chara...
Conversational question answering (ConvQA) is a simplified but concrete
...
With the explosive growth of e-commerce and the booming of e-payment,
de...
Segmentation stands at the forefront of many high-level vision tasks. In...
Product reviews, in the form of texts dominantly, significantly help
con...
We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...
We present a deep learning framework for computer-aided lung cancer
diag...