research
∙
09/13/2023
SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions
With the rapid development of Large Language Models (LLMs), increasing a...
share
research
∙
08/17/2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Given n observations from two balanced classes, consider the task of lab...
research
∙
07/03/2023
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
Vision-language tasks, such as VQA, SNLI-VE, and VCR are challenging bec...
research
∙
06/07/2023
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
The hybrid architecture of convolution neural networks (CNN) and Transfo...
research
∙
06/06/2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
The hybrid architecture of convolutional neural networks (CNNs) and Tran...
research
∙
05/26/2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing
It is widely reported that deep generative models can classify out-of-di...
research
∙
05/20/2023
Human labeling errors and their impact on ConvNets for satellite image scene classification
Convolutional neural networks (ConvNets) have been successfully applied ...
research
∙
01/16/2023
An Error-Guided Correction Model for Chinese Spelling Error Correction
Although existing neural network approaches have achieved great success ...
research
∙
12/14/2022
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding
From a visual scene containing multiple people, human is able to disting...
research
∙
07/13/2022
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
Most of the Chinese pre-trained models adopt characters as basic units f...
research
∙
07/05/2021
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
Schema-based event extraction is a critical technique to apprehend the e...
research
∙
01/25/2021
Blind Diagnosis for Millimeter-wave Massive MIMO Systems
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) s...
research
∙
12/22/2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Automated data augmentation has shown superior performance in image reco...
research
∙
12/17/2020
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
While deep learning demonstrates its strong ability to handle independen...
research
∙
07/09/2020
EPI-based Oriented Relation Networks for Light Field Depth Estimation
Light fields record not only the spatial information of observed scenes ...
research
∙
05/15/2020
Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces
Structural dimensional inspection is vital for the process monitoring, q...
research
∙
05/02/2020
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts
We study in this paper a revenue management problem with add-on discount...
research
∙
03/28/2020
Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users
Voice traffic prediction is significant for network deployment optimizat...
research
∙
11/25/2018
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval
Multi-view point cloud registration is a hot topic in the communities of...
research
∙
10/18/2018