Accurate disturbance estimation is essential for safe robot operations. ...
Over decades, neuroscience has accumulated a wealth of research results ...
In this study, we introduce PharmacyGPT, a novel framework to assess the...
With the popularity of deep neural networks (DNNs), model interpretabili...
Teleoperation is considered as a viable option to control fully automate...
Robotic underwater systems, e.g., Autonomous Underwater Vehicles (AUVs) ...
Designing more efficient, reliable, and explainable neural network
archi...
The evolution of convolutional neural networks (CNNs) can be largely
att...
Linking computational natural language processing (NLP) models and neura...
Making top-down human pose estimation method present both good performan...
Visual attention is a fundamental mechanism in the human brain, and it
i...
Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medic...
Despite the great empirical success of actor-critic methods, its finite-...
Agile flights of autonomous quadrotors in cluttered environments require...
The convergence of policy gradient algorithms in reinforcement learning
...
Recapture detection of face and document images is an important forensic...
The actor-critic (AC) reinforcement learning algorithms have been the
po...
Artificial neural networks (ANNs), originally inspired by biological neu...
Estimating and reacting to external disturbances is crucial for robust f...
Shortcut learning is common but harmful to deep learning models, leading...
High-quality MRI reconstruction plays a critical role in clinical
applic...
Learning harmful shortcuts such as spurious correlations and biases prev...
Learning with little data is challenging but often inevitable in various...
Vision transformer (ViT) and its variants have achieved remarkable succe...
How to identify and characterize functional brain networks (BN) is
funda...
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of...
In this paper, we propose a new reinforcement learning (RL) algorithm, c...
Camera and 3D LiDAR sensors have become indispensable devices in modern
...
Estimating and reacting to external disturbances is of fundamental impor...
This study presents a Bayesian spectral density approach for identificat...
Assessment of structural safety status is of paramount importance for
ex...
With the ongoing popularization of online services, the digital document...
Although Q-learning is one of the most successful algorithms for finding...
Existing studies indicate that momentum ideas in conventional optimizati...
In this paper, we propose a novel joint instance and semantic segmentati...
Channel pruning is one of the important methods for deep model compressi...
An extreme wind speed estimation method that considers wind hazard clima...
Seq2seq learning has produced promising results on summarization. Howeve...
Question generation from a knowledge base (KB) is the task of generating...