Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
Multi-Domain Learning
43 directly classified papers
Papers per year
2011: 2
2017: 1
2018: 2
2019: 11
2020: 5
2021: 3
2022: 8
2024: 3
2025: 8
Papers
Quantitative argument summarization and beyond: Cross-domain key point analysis
EMNLP 2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
EMNLP 2020
SParC: Cross-Domain Semantic Parsing in Context
ACL 2019
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources
AAAI 2019
Multistream Classification with Relative Density Ratio Estimation
AAAI 2019
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration
CVPR 2019
Efficient Multi-Domain Learning by Covariance Normalization
CVPR 2019
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
EMNLP 2019
Personalizing Many Decisions with High-Dimensional Covariates
NIPS 2019
Multi-marginal Wasserstein GAN
NIPS 2019
Unified Semantic Parsing with Weak Supervision
ACL 2019
Cross-Domain Recommendation via Coupled Factorization Machines
AAAI 2019
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles
ACL 2019
Extracting Relationships by Multi-Domain Matching
NIPS 2018
Boosting Domain Adaptation by Discovering Latent Domains
CVPR 2018
Learning multiple visual domains with residual adapters
NIPS 2017
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
NIPS 2011
Continuous-Time Regression Models for Longitudinal Networks
NIPS 2011
<
1
2
>