Knowledge base question answering (KBQA) is a critical yet challenging t...
At present, face 3D reconstruction has broad application prospects in va...
Video shakiness is an unpleasant distortion of User Generated Content (U...
Recent investigations show that large language models (LLMs), specifical...
Fourier neural operators (FNOs) can learn highly nonlinear mappings betw...
Question Answering (QA) is the task of automatically answering questions...
In this paper, we propose a novel representation for grasping using cont...
Channel pruning can effectively reduce both computational cost and memor...
We consider feasibility and constrained optimization problems defined ov...
Neural operators, which emerge as implicit solution operators of hidden
...
Structured tabular data exist across nearly all fields. Reasoning task o...
Traditional recommendation systems mainly focus on modeling user interes...
Entity linking aims to link ambiguous mentions to their corresponding
en...
With the yearning for deep learning democratization, there are increasin...
Point cloud is one of the most widely used digital formats of 3D models,...
The IMPRESSIONS section of a radiology report about an imaging study is ...
Deep convolutional neural networks are shown to be overkill with high
pa...
Rule-based models, e.g., decision trees, are widely used in scenarios
de...
There have been long-standing controversies and inconsistencies over the...
Recent research demonstrated the promise of using resistive random acces...
Electrospinning has exhibited excellent benefits to treat the trauma for...
Graph neural networks (GNN) have been proven to be mature enough for han...
Training an agent to navigate with DRL is data-hungry, which requires
mi...
In deep model compression, the recent finding "Lottery Ticket Hypothesis...
Polar code lattices are formed from binary polar codes using Constructio...
The convolutional neural network has achieved great success in fulfillin...
Deep reinforcement learning (DRL) demonstrates great potential in maples...
Accurate force sensing is important for endoluminal intervention in term...
Deep reinforcement learning (DRL) has shown great potential in training
...
Models with transparent inner structure and high classification performa...
Deep neural networks (DNNs) have been expanded into medical fields and
t...
Deep neural networks (DNNs), as the basis of object detection, will play...
In this paper, we study physical adversarial attacks on object detectors...
Individual identification is essential to animal behavior and ecology
re...
The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology ...
Structured weight pruning is a representative model compression techniqu...
Structured weight pruning is a representative model compression techniqu...
Virtual reality (VR) is making waves around the world recently. However,...
In this paper, we deal with the problem of relay selection in mobile edg...
We propose an attention-injective deformable convolutional network calle...
Self-navigation, referring to automatically reaching the goal while avoi...
Both industry and academia have extensively investigated hardware
accele...
Bayesian Neural Networks (BNNs) have been proposed to address the proble...
This paper presents the first deep reinforcement learning (DRL) framewor...
Deep learning has delivered its powerfulness in many application domains...
Large-scale deep neural networks (DNNs) are both compute and memory
inte...