Adversarial Adaptation

Adversarial adaptation aims to improve the performance of machine learning models on target domains with limited labeled data by leveraging information from related source domains. Current research focuses on enhancing model generalization and robustness through techniques like adversarial training with GANs and multi-discriminator architectures, often integrated with pre-trained models such as Transformers and Vision Transformers. This approach is particularly valuable in addressing challenges like domain shift in natural language processing, computer vision, and healthcare applications, enabling more effective and efficient use of diverse datasets. The resulting improvements in model performance and generalization have significant implications for various fields, including cross-lingual tasks, robust deepfake detection, and personalized healthcare.

Papers

October 22, 2024

Co-training partial domain adaptation networks for industrial Fault Diagnosis
Gecheng Chen
Domain Adaptation Formality Transfer Fault Diagnosis Adversarial Adaptation Partial Domain Adaptation

October 6, 2024

DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Domain Adaptation Domain Shift Adversarial Adaptation

June 20, 2024

Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization
Tanapat Ratchatorn, Masayuki Tanaka
Loss Function Cross Entropy Loss Sharpness Aware Minimization Adversarial Adaptation

April 22, 2024

Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation
Bharathi A, Arkaitz Zubiaga
Zero Shot Stance Detection Back Translation Multilingual BERT Zero Shot Stance Detection Adversarial Adaptation

April 20, 2024

AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models
Yuheng Ji, Yue Liu, Zhicheng Zhang, Zhao Zhang, Yuting Zhao, Gang Zhou, Xingwei Zhang, Xinwang Liu, Xiaolong Zheng
Vision Language Model Adaptation Concern Parameter Efficient Adaptation Adversarial Adaptation Adaptation Method

February 5, 2024

Continual Domain Adversarial Adaptation via Double-Head Discriminators
Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
Domain Adaptation Adversarial Loss Source Domain Domain Discriminator Dual Discriminator Adversarial Adaptation Target Domain Adaptation

January 20, 2024

Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin
Facial Expression Recognition View Selection Domain Invariant Feature Global Feature Local Representation Adversarial Adaptation

December 17, 2023

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
Qingxuan Lv, Yuezun Li, Junyu Dong, Sheng Chen, Hui Yu, Huiyu Zhou, Shu Zhang
Domain Adaptation Deepfake Detection Deepfake Detector Domain Name Face Forgery Adversarial Adaptation

July 31, 2023

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo
Domain Adaptation Deep Learning Model Noisy Label Adversarial Adaptation Label Distribution Shift

June 6, 2023

Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations
Torsten Krauß, Alexandra Dmitrienko
Adaptive Attack Adaptive Adversary Adversarial Adaptation Adversary Model

January 12, 2023

Adversarial Adaptation for French Named Entity Recognition
Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
Entity Recognition Named Entity Recognition Small Corpus Adversarial Adaptation General Corpus

December 5, 2022

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
Entity Recognition Named Entity Recognition Domain Corpus Adversarial Adaptation General Corpus Target Domain Corpus

April 16, 2022

Safe Self-Refinement for Transformer-based Domain Adaptation
Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling
Vision Transformer Domain Adaptation Self Refinement Adversarial Adaptation

February 18, 2022

Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation
Disong Wang, Songxiang Liu, Xixin Wu, Hui Lu, Lifa Sun, Xunying Liu, Helen Meng
Dysarthric Speech Adversarial Adaptation Dysarthric Speech Reconstruction