research
∙
07/05/2023
Won't Get Fooled Again: Answering Questions with False Premises
Pre-trained language models (PLMs) have shown unprecedented potential in...
share
research
∙
05/25/2023
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon
In this paper, we studied two identically-trained neural networks (i.e. ...
research
∙
01/21/2021
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
The security of the Person Re-identification(ReID) model plays a decisiv...
research
∙
10/18/2020
Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks
Federated learning (FL) in a bandwidth-limited network with energy-limit...
research
∙
10/29/2019