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multi-source learning

48 papers

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Co-occurring keywords

domain adaptation (4578) multi-source domain adaptation (56) transfer learning (5442) named entity recognition (2801) domain generalization (1517) unsupervised domain adaptation (441) neural network (6616) representation learning (6174) sentiment analysis (2079) few-shot learning (3390)

Papers

Hierarchical Dataset Selection for High-Quality Data Sharing AAAI 2026
DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation COLING 2025
Cross-Document Event-Keyed Summarization ACL 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization WACV 2025
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning AAAI 2024
Linear Regression using Heterogeneous Data Batches NIPS 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization AAAI 2024
Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection NIPS 2024
Multi-Source Text Classification for Multilingual Sentence Encoder with Machine Translation NAACL 2024
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization EMNLP 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation NIPS 2023
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices JMLR 2023
Investigating Multi-source Active Learning for Natural Language Inference EACL 2023
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification NIPS 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning NAACL 2022
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition IJCNLP 2021
Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection ICCV 2021
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification CVPR 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition ACL 2021
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing EMNLP 2021