Domain Adaptation

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything ICML 2024 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector AAAI 2024 From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery AAAI 2024 From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data MIDL 2024 From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions ICML 2024 From Chaos to Calibration: A Geometric Mutual Information Approach To Target-Free Camera LiDAR Extrinsic Calibration WACV 2024 From Dataset to Detection: A Comprehensive Approach to Combating Malayalam Fake News EACL 2024 From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation WACV 2024 From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction COLING 2024 From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models ACL 2024 From Similarity to Superiority: Channel Clustering for Time Series Forecasting NeurIPS 2024 Frozen Transformers in Language Models Are Effective Visual Encoder Layers ICLR 2024 Frustratingly Easy Test-Time Adaptation of Vision-Language Models NeurIPS 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 Function Based Sim-to-Real Learning for Shape Control of Deformable Free-form Surfaces RSS 2024 Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024 Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering NAACL 2024 Gaussian Plane-Wave Neural Operator for Electron Density Estimation ICML 2024 GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024 GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains EMNLP 2024 GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution EACL 2024 Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning ACL 2024 Generalizable Face Landmarking Guided by Conditional Face Warping CVPR 2024 Generalized Fake Audio Detection via Deep Stable Learning Interspeech 2024 Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024