research
∙
08/22/2023
Towards an Understanding of Large Language Models in Software Engineering Tasks
Large Language Models (LLMs) have drawn widespread attention and researc...
share
research
∙
02/18/2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
When modeling related tasks in computer vision, Multi-Task Learning (MTL...
research
∙
02/18/2023
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
Counterfactually-Augmented Data (CAD) has the potential to improve langu...
research
∙
05/18/2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
Recent work for image captioning mainly followed an extract-then-generat...
research
∙
07/02/2019
Disentangled Makeup Transfer with Generative Adversarial Network
Facial makeup transfer is a widely-used technology that aims to transfer...
research
∙
05/02/2019
DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF
This paper presents a dual stage EKF (Extended Kalman Filter)-based algo...
research
∙
11/19/2018
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
Recently unpaired multi-domain image-to-image translation has attracted ...
research
∙
10/17/2017
