{"total":49,"rows":[{"id":"2402.10373","title":"BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains","created":"2024-02-15","cited_by_count":301,"area":null},{"id":"2108.05036","title":"DEMix Layers: Disentangling Domains for Modular Language Modeling","created":"2021-08-11","cited_by_count":132,"area":null},{"id":"2302.11529","title":"Modular Deep Learning","created":"2023-02-22","cited_by_count":83,"area":null},{"id":"2104.01845","title":"Unsupervised Multi-source Domain Adaptation Without Access to Source Data","created":"2021-04-05","cited_by_count":76,"area":null},{"id":"2103.00242","title":"A Survey on Stance Detection for Mis- and Disinformation Identification","created":"2021-02-27","cited_by_count":75,"area":null},{"id":"2102.12206","title":"PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains","created":"2021-02-24","cited_by_count":61,"area":null},{"id":"2103.11169","title":"Your Classifier can Secretly Suffice Multi-Source Domain Adaptation","created":"2021-03-20","cited_by_count":42,"area":null},{"id":"2104.07078","title":"UDALM: Unsupervised Domain Adaptation through Language Modeling","created":"2021-04-14","cited_by_count":33,"area":null},{"id":"2104.07467","title":"Cross-Domain Label-Adaptive Stance Detection","created":"2021-04-15","cited_by_count":30,"area":null},{"id":"2107.14447","title":"T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation","created":"2021-07-30","cited_by_count":24,"area":null},{"id":"2109.14778","title":"CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning","created":"2021-09-30","cited_by_count":23,"area":null},{"id":"2112.09654","title":"FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI","created":"2021-12-17","cited_by_count":19,"area":null},{"id":"2202.00796","title":"On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation","created":"2022-02-01","cited_by_count":16,"area":null},{"id":"2203.14276","title":"Example-based Hypernetworks for Out-of-Distribution Generalization","created":"2022-03-27","cited_by_count":16,"area":null},{"id":"2304.02144","title":"A Data Fusion Framework for Multi-Domain Morality Learning","created":"2023-04-04","cited_by_count":14,"area":null},{"id":"2106.12124","title":"Secure Domain Adaptation with Multiple Sources","created":"2021-06-23","cited_by_count":12,"area":null},{"id":"2106.16093","title":"Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization","created":"2021-06-30","cited_by_count":12,"area":null},{"id":"2106.02484","title":"NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training","created":"2021-06-04","cited_by_count":11,"area":null},{"id":"2111.01322","title":"Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP","created":"2021-11-02","cited_by_count":10,"area":null},{"id":"2204.09244","title":"DAME: Domain Adaptation for Matching Entities","created":"2022-04-20","cited_by_count":9,"area":null},{"id":"2405.00749","title":"More is Better: Deep Domain Adaptation with Multiple Sources","created":"2024-05-01","cited_by_count":9,"area":null},{"id":"2410.17020","title":"LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization","created":"2024-10-22","cited_by_count":8,"area":null},{"id":"2106.11197","title":"Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification","created":"2021-06-21","cited_by_count":7,"area":null},{"id":"2306.06779","title":"Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering","created":"2023-06-11","cited_by_count":6,"area":null},{"id":"2405.19221","title":"Domain adaptation in small-scale and heterogeneous biological datasets","created":"2024-05-29","cited_by_count":5,"area":null},{"id":"2401.12756","title":"What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition","created":"2024-01-23","cited_by_count":4,"area":null},{"id":"2410.21474","title":"Estimating Causal Effects of Text Interventions Leveraging LLMs","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2502.03033","title":"Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation","created":"2025-02-05","cited_by_count":4,"area":null},{"id":"2104.08480","title":"Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification","created":"2021-04-17","cited_by_count":3,"area":null},{"id":"2201.11870","title":"Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers","created":"2022-01-28","cited_by_count":3,"area":null},{"id":"2402.14536","title":"Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis","created":"2024-02-22","cited_by_count":3,"area":null},{"id":"2505.18867","title":"Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing","created":"2025-05-24","cited_by_count":3,"area":null},{"id":"2107.00368","title":"Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems","created":"2021-07-01","cited_by_count":2,"area":null},{"id":"2302.14186","title":"Approximately optimal domain adaptation with Fisher's Linear Discriminant","created":"2023-02-27","cited_by_count":2,"area":null},{"id":"2304.06489","title":"Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey","created":"2023-04-07","cited_by_count":2,"area":null},{"id":"2305.17448","title":"Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction","created":"2023-05-27","cited_by_count":2,"area":null},{"id":"2308.13957","title":"Differentiable Weight Masks for Domain Transfer","created":"2023-08-26","cited_by_count":2,"area":null},{"id":"2312.05460","title":"Multi-source domain adaptation for regression","created":"2023-12-09","cited_by_count":2,"area":null},{"id":"2108.07120","title":"AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities","created":"2021-08-16","cited_by_count":1,"area":null},{"id":"2206.07876","title":"Domain Generalization via Selective Consistency Regularization for Time Series Classification","created":"2022-06-16","cited_by_count":1,"area":null},{"id":"2601.10779","title":"Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2307.14068","title":"Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation","created":"2023-07-26","cited_by_count":0,"area":null},{"id":"2401.02561","title":"CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions","created":"2024-01-04","cited_by_count":0,"area":null},{"id":"2401.02941","title":"Unsupervised Federated Domain Adaptation for Segmentation of MRI Images","created":"2024-01-02","cited_by_count":0,"area":null},{"id":"2401.04130","title":"Plug-and-Play Transformer Modules for Test-Time Adaptation","created":"2024-01-06","cited_by_count":0,"area":null},{"id":"2403.04158","title":"DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning","created":"2024-03-07","cited_by_count":0,"area":null},{"id":"2409.13787","title":"Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2603.06542","title":"RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2604.20824","title":"Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls","created":"2026-04-22","cited_by_count":0,"area":null}],"next_cursor":null}