Domain Adaptation

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024 Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024 Fair Off-Policy Learning from Observational Data ICML 2024 FairRAG: Fair Human Generation via Fair Retrieval Augmentation CVPR 2024 FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024 Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection ECCV 2024 FAME: Towards Factual Multi-Task Model Editing EMNLP 2024 FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis ECCV 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning ICML 2024 Fast One-Stage Unsupervised Domain Adaptive Person Search IJCAI 2024 Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation ICML 2024 Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation MIDL 2024 FeatUp: A Model-Agnostic Framework for Features at Any Resolution ICLR 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024 Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning AAAI 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Federated Representation Learning in the Under-Parameterized Regime ICML 2024 Federated Self-Explaining GNNs with Anti-shortcut Augmentations ICML 2024 FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering ICML 2024 FedST: Federated Style Transfer Learning for Non-IID Image Segmentation AAAI 2024