Image de couverture de livre

Cross Domain Adaptation using Adversarial networks with Cyclic loss

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kaur, Manpreet, Tomar, Ankur, Mishra, Srijan, Verma, Shashwat
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multi-View 3D Reconstruction using Knowledge Distillation
par: Dutt, Aditya, et autres
Publié: (2024)

PolyFusionAgent: A Multimodal Foundation Model and Autonomous AI Assistant for Polymer Property Prediction and Inverse Design
par: Kaur, Manpreet, et autres
Publié: (2026)

Continual Domain Adversarial Adaptation via Double-Head Discriminators
par: Shen, Yan, et autres
Publié: (2024)

Cross-Domain Policy Adaptation by Capturing Representation Mismatch
par: Lyu, Jiafei, et autres
Publié: (2024)

Degree-Conscious Spiking Graph for Cross-Domain Adaptation
par: Wang, Yingxu, et autres
Publié: (2024)

OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation
par: Aggarwal, Aarush, et autres
Publié: (2026)

Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning
par: Ye, Xiaozhou, et autres
Publié: (2024)

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
par: Yoo, Minjong, et autres
Publié: (2025)

DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
par: Hu, Fo, et autres
Publié: (2025)

Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
par: Furqon, M. T., et autres
Publié: (2025)

Adversarially Trained Object Detector for Unsupervised Domain Adaptation
par: Fujii, Kazuma, et autres
Publié: (2021)

Domain Adversarial Active Learning for Domain Generalization Classification
par: Chen, Jianting, et autres
Publié: (2024)

Clustering-Enhanced Domain Adaptation for Cross-Domain Intrusion Detection in Industrial Control Systems
par: Wang, Luyao
Publié: (2026)

Graph-Based Adversarial Domain Generalization with Anatomical Correlation Knowledge for Cross-User Human Activity Recognition
par: Ye, Xiaozhou, et autres
Publié: (2025)

FAA-CLIP: Federated Adversarial Adaptation of CLIP
par: Wu, Yihang, et autres
Publié: (2025)

Single Domain Generalization with Adversarial Memory
par: Yan, Hao, et autres
Publié: (2025)

DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
par: Strohmayer, Julian, et autres
Publié: (2024)

An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
par: Choi, Eugene, et autres
Publié: (2024)

Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
par: Owfi, Ali, et autres
Publié: (2025)

GAIN: Multiplicative Modulation for Domain Adaptation
par: Yao, Hengshuai, et autres
Publié: (2026)

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
par: Khatuya, Subhendu, et autres
Publié: (2025)

Interpreting the Effects of Quantization on LLMs
par: Singh, Manpreet, et autres
Publié: (2025)

A3: Active Adversarial Alignment for Source-Free Domain Adaptation
par: Eze, Chrisantus, et autres
Publié: (2024)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
par: Liu, Meihan, et autres
Publié: (2024)

Graph Domain Adaptation: Challenges, Progress and Prospects
par: Shi, Boshen, et autres
Publié: (2024)

Context-Aware Self-Adaptation for Domain Generalization
par: Yan, Hao, et autres
Publié: (2025)

Causally-Aware Information Bottleneck for Domain Adaptation
par: Javidian, Mohammad Ali
Publié: (2026)

On the Benefits of Attribute-Driven Graph Domain Adaptation
par: Fang, Ruiyi, et autres
Publié: (2025)

Sample Efficient Active Algorithms for Offline Reinforcement Learning
par: Roy, Soumyadeep, et autres
Publié: (2026)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
par: Zhang, Zhen, et autres
Publié: (2024)

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
par: Chen, Qian, et autres
Publié: (2025)

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
par: Verma, Abhishek, et autres
Publié: (2025)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
par: Zhang, Jingyuan, et autres
Publié: (2024)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
par: Wang, Yilong, et autres
Publié: (2025)

DIDA: Denoised Imitation Learning based on Domain Adaptation
par: Huang, Kaichen, et autres
Publié: (2024)

SA-GDA: Spectral Augmentation for Graph Domain Adaptation
par: Pang, Jinhui, et autres
Publié: (2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
par: Liu, Meihan, et autres
Publié: (2024)

Autonomous Source Knowledge Selection in Multi-Domain Adaptation
par: Li, Keqiuyin, et autres
Publié: (2025)

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles
par: Kim, Junae, et autres
Publié: (2024)

AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation
par: Shen, Lulan, et autres
Publié: (2024)