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Papers
How Far Is Too Far? Studying the Effects of Domain Discrepancy on Masked Language Models
COLING 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
AAAI 2024
Domain Adaptive Object Detection for Autonomous Driving Under Foggy Weather
WACV 2023
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
AAAI 2023
Cross-Domain Collaborative Normalization via Structural Knowledge
AAAI 2022
Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
ACL 2022
Inharmonious Region Localization by Magnifying Domain Discrepancy
AAAI 2022
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
WACV 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
ACL 2022
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
AAAI 2021
Domain Aggregation Networks for Multi-Source Domain Adaptation
ICML 2020
Domain Conditioned Adaptation Network
AAAI 2020
Exploring Categorical Regularization for Domain Adaptive Object Detection
CVPR 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
CVPR 2020
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
NeurIPS 2020
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
CVPR 2020
Contrastive Adaptation Network for Unsupervised Domain Adaptation
CVPR 2019
On the Value of Target Data in Transfer Learning
NeurIPS 2019